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Driving Customer Satisfaction and Business Growth with Extended Reality

What is Extended Reality?Extended Reality technology (XR technology) refers to a combination of technologies that merge physical and virtual worlds into a single immersive experience. XR includes virtual reality (VR), augmented reality (AR), and mixed reality (MR) technologies. XR technology is transforming businesses across various industries by enhancing the customer experience, improving employee training, and offering new and innovative ways to interact with data and information.Virtual reality immerses the user in a completely artificial digital environment, often using a headset or other device to create a sense of presence and allow users to interact with a simulated world. Augmented reality, on the other hand, overlays digital content onto the user’s real-world view, typically using a smartphone or tablet. Mixed reality is a combination of both VR and AR, where digital content is superimposed onto the user’s real-world view and the user can interact with both the real and virtual environments.Extended Reality has been gaining popularity in the business world in recent years, with a growing number of companies investing in virtual and augmented reality technologies. Here are some statistics that highlight the significance of XR in the business landscape.The global market for virtual and augmented reality is expected to reach $209.2 billion by 2022.75% of the top 500 global companies have experimented with VR and AR technologies. (Source:Digi-Capital)By 2023, XR solutions are expected to generate $1.5 trillion in value across multiple industries.67% of consumers expect retailers to offer an augmented reality experience.61% of enterprises have already implemented or are planning to implement AR/VR technologies. (Source: Capgemini)In the healthcare industry, the use of VR/AR can reduce patient pain by 24% and anxiety by 27%.70% of enterprises believe that AR/VR can give them a competitive advantage.XR has a wide range of applications in industries such as entertainment, education, healthcare, and manufacturing. It allows for more immersive and engaging experiences, as well as enhanced training and learning opportunities. Additionally, XR technologies can enable remote collaboration and communication, making it easier for teams to work together from different locations.How XR is Changing the Way We Do Business?Extended Reality (XR) technologies, which include Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), are transforming a wide range of industries by enhancing customer experiences, streamlining operations, and improving safety and training. Here are some industries that are being transformed by XR:Healthcare: XR technologies are being used to improve patient outcomes by enabling healthcare professionals to visualize complex medical data, simulate surgical procedures, and train in a safe and controlled environment. For example, XR can be used to create realistic 3D models of organs and structures in the body, allowing doctors to better understand and plan surgeries.Manufacturing: XR technologies are being used to streamline manufacturing processes by enabling engineers and designers to visualize and iterate on 3D designs in real-time. For example, XR can be used to create virtual prototypes, allowing designers to test and refine products before they are manufactured.Retail: XR technologies are being used to enhance the customer shopping experience by providing immersive and interactive product experiences. For example, retailers can use AR to allow customers to try on clothes virtually or visualize how furniture will look in their homes.Education: XR technologies are being used to improve learning outcomes by providing students with immersive and interactive educational experiences. For example, XR can be used to create virtual field trips, allowing students to explore historical sites or natural environments in a realistic and engaging way.Entertainment: XR technologies are being used to create new forms of entertainment that are immersive and interactive. For example, VR can be used to create virtual concerts or games, providing fans with unique and engaging experiences.Real Estate: XR technologies are being used to provide customers with virtual property tours, allowing them to explore properties in a realistic and immersive way. For example, real estate agents can use XR to create virtual walk-throughs of properties, enabling potential buyers to view properties remotely.As technology continues to evolve and become more accessible, its impact on our daily lives and businesses will only continue to grow. Companies that embrace XR early and leverage it in creative and innovative ways will have a competitive advantage in the years to come.Why Should Businesses Leverage XR Technologies?Extended Reality (XR) technologies encompass Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) and are rapidly gaining popularity across industries. Here are some reasons why businesses should leverage XR technologies in their operations:1. Enhanced Customer ExperienceXR is revolutionizing the way businesses interact with customers, offering immersive, interactive experiences that enhance customer engagement and satisfaction. XR technology enables businesses to create virtual try-ons, allowing customers to visualize how products would look or work in real life. For example, a furniture retailer can use AR to let customers see how a piece of furniture would look in their home before making a purchase. Similarly, clothing retailers can offer virtual try-ons that allow customers to try on clothes virtually and see how they look before making a purchase. This technology enables customers to make better-informed decisions, reduces the need for physical try-ons, and ultimately increases customer satisfaction.XR technology can also be used to create interactive product demonstrations that immerse customers in the product experience. This technology can be particularly useful for complex products that require detailed explanations. For example, an automotive company can use MR to create an interactive demonstration of their latest car model, allowing customers to explore the car’s features, design, and performance in detail.2. Improved Employee TrainingXR technology is also transforming the way businesses train their employees. XR technologies can be used to simulate real-world scenarios and provide employees with realistic training experiences. Traditional training methods can be time-consuming and expensive, requiring travel, accommodations, and in-person training sessions. XR technology can help businesses offer more efficient and effective training, reducing costs and improving employee performance.VR can be used to provide immersive, interactive training experiences that simulate real-world scenarios. For example, healthcare providers can use VR to simulate medical procedures and emergency situations, allowing healthcare professionals to practice and improve their skills in a safe, controlled environment. According to Statista, the use of VR/AR can reduce training time by up to 40% and improve knowledge retention by up to 75%.3. Increased Efficiency in OperationsXR technologies can help businesses streamline their operations by reducing the need for physical prototypes and testing. For example, an automotive manufacturer can use VR to test new designs and make adjustments before building physical prototypes.4. Reduced CostsXR technologies can help businesses reduce costs associated with travel, training, and physical prototyping. For instance, a construction company can use AR to provide remote assistance to workers on-site, eliminating the need for experts to travel to the site.5.XR in Data Visualization for Efficient Decision MakingXR technology can also be used to visualize data in new and innovative ways, offering businesses a more intuitive and engaging way to interact with information. For example, businesses can use AR to create interactive data visualizations that enable users to explore data in real-time, allowing them to gain insights and make decisions more quickly and effectively.XR technology can also be used to create virtual dashboards that provide real-time updates and analytics. For example, a manufacturing company can use MR to create a virtual dashboard that provides real-time data on production processes, allowing managers to monitor performance and make data-driven decisions.6.Competitive AdvantageAdopting XR technologies can give businesses a competitive advantage by providing customers with innovative and engaging experiences, streamlining operations, and reducing costs.By offering XR-based products and services, businesses can provide customers with unique and engaging experiences that go beyond traditional marketing and sales channels. For example, an e-commerce company can offer a virtual shopping experience that allows customers to browse and interact with products in a 3D environment, or a real estate company can provide virtual property tours that give potential buyers a realistic sense of the space.7.Better Collaboration Among TeamsWith XR technologies, remote teams can collaborate as if they were in the same room, even if they are located in different parts of the world. Using virtual environments, team members can interact with each other in real-time, exchange ideas, and work together on projects. This level of collaboration is particularly beneficial for businesses with distributed teams, as it can help reduce communication barriers and improve productivity.By leveraging XR technologies, businesses can create immersive environments that mimic real-world scenarios, allowing team members to visualize and interact with complex data, such as 3D models, designs, and prototypes. This can help teams to better understand and analyze information, identify potential issues, and make more informed decisions.Overall, XR technologies have the potential to revolutionize the way businesses operate by improving efficiency, reducing costs, and enhancing customer experiences.ConclusionXR technology is transforming the way businesses operate, offering new and innovative ways to enhance the customer experience, improve employee training, and interact with data and information. The benefits of this technology make it a worthwhile investment for businesses looking to stay competitive and drive growth in the digital age. As XR technology continues to evolve and become more accessible, we can expect to see more businesses adopting this technology to improve their operations and better serve their customers.Let Your Business Take a Leap Forward with Aziro (formerly MSys Technologies)Aziro (formerly MSys Technologies)’ digital services enable you to give your clients new experiences and insights. Our digital solutions modernize end-user experiences with bespoke touchpoints. Our architects will help you create more innovative, better-experienced software.We make your business agile using microservices and ML-powered processes. Our platform-agnostic digital engineers create multichannel experiences. We will increase your data skills by providing robust data governance capabilities, unifying information silos, and developing a non-rigid data architecture.We offer digital services that cover the whole process from start to finish. These services combine mobility, analytics, IoT, AI/ML, and big data to create scalable, intelligent products and custom solutions.Accelerate with Aziro (formerly MSys Technologies) today! Get in touch with us at marketing@aziro.com.

Aziro Marketing

Healthcare Private Cloud Deployment

How May A(I) Help You - Transform Your Storage Data Center for Tomorrow

Data Center technology has advanced significantly, but organizations still face limits:Growing data volumes strain storage, processing, and network bandwidthComplex management eats up time and moneyIncreasing security concerns with energy consumption worriesBut with Artificial Intelligence (AI), Cloud, and Edge computing, organizations can optimize operations and improve efficiency, scalability, and security. Let’s embrace these new technologies and put our data center woes to rest!AI Integration in Storage Data Center Tech: Optimizing Efficiency and SecurityThe global AI in the storage market is expected to grow at a CAGR of 26.5% from 2019 to 2026, reaching $34.5 billion by 2026, according to a report by Allied Market Research.This growth is being driven by the increasing demand for real-time data analysis, the proliferation of connected devices and the Internet of Things (IoT), and the need for efficient data storage and management in cloud environments.Predictive Maintenance: AI algorithms can analyze data from sensors and other sources to detect potential issues before they occur, reducing downtime and improving reliability. For example, if a storage drive is beginning to fail, AI-powered algorithms can detect this early on and alert the IT team to act before a catastrophic failure occurs.Capacity Optimization: AI algorithms can optimize storage allocation and distribution, reducing wasted capacity and improving overall system performance. This involves analyzing data usage patterns and predicting future demand to ensure that data is stored most efficiently.Intelligent Tiering: AI-powered storage solutions can automatically move data between different storage tiers based on usage patterns and other factors, ensuring that frequently accessed data is stored on faster, more expensive storage devices.Data Classification and Tagging: AI algorithms can analyze and automatically classify data based on its content, enabling more efficient searching and retrieval. Additionally, AI can automatically tag data with metadata, making it easier to find and categorize.From Reactive to Proactive: Benefits of AI in Storage Data Center ManagementAI algorithms can optimize storage allocation and distribution, reducing wasted capacity and improving overall system performance. Predictive maintenance algorithms can minimize downtime and improve reliability by detecting potential issues before they occur. Source: SpringboardIncreased Efficiency: AI algorithms can optimize storage allocation and distribution, reducing wasted capacity and improving overall system performance. This can lead to increased efficiency in data storage and retrieval processes.Reduced Downtime: Predictive maintenance algorithms can detect potential issues before they occur, reducing downtime and improving reliability. This can save companies significant money by avoiding costly downtime and repair expenses.Improved Data Security: AI-powered storage solutions can automatically identify and flag potential security threats, such as unauthorized access attempts or suspicious activity. This can help companies to protect their data better and prevent security breaches.Faster Data Analysis: AI algorithms can analyze data in real time, providing faster insights and enabling more informed decision-making. This can be especially useful in industries such as finance and healthcare, where real-time data analysis is critical.Cost Savings: By optimizing storage allocation and reducing wasted capacity, companies can save money on hardware and infrastructure costs. Additionally, predictive maintenance algorithms can help to extend the lifespan of storage devices, reducing the need for costly replacements.The Challenges and Limitations of Using AI in Storage Data CentersWhile there are many potential benefits to using AI in storage data centers, several challenges and limitations need to be considered. These challenges include:Data Privacy and Security: One of the biggest challenges of using AI in storage data centers is ensuring the privacy and security of the data being analyzed. AI algorithms require access to large amounts of data to function effectively, and this can raise concerns around data privacy and security. Companies need to ensure that they have appropriate measures in place to protect their data and prevent unauthorized access.Lack of Standardization: Another challenge is the lack of standardization in the AI industry. Many different AI algorithms and frameworks are available, and these can vary widely in terms of effectiveness and compatibility with existing systems. This can make it difficult for companies to choose the right AI solution for their needs.Complexity: AI-powered storage solutions can be complex and require specialized skills to implement and maintain. This can challenge companies needing more expertise or resources to manage these systems effectively.Bias: Another potential limitation of using AI in storage data centers is the risk of algorithm bias. AI algorithms are only as good as the data they are trained on, and if the data is biased, the results may also be biased.Organizations need to ensure that they have appropriate measures to protect their data and the necessary skills and resources to manage these systems effectively.The Role of AI in the Future of Storage Data Center TechnologyAdvances in data storage and management technologies are enabling an unprecedented level of computational power, while AI’s analysis, prediction, and optimization capabilities help drive efficiency and reliability improvements. These technologies are poised to revolutionize how we store, process, and interact with data, setting the stage for a new age of innovation in the digital data center realm.One of the most significant trends in the development of storage data center technology is the shift toward solid-state storage solutions, specifically NAND Flash-based drives.AI is poised to play a critical role in the management and optimization of these all-flash data centers, enabling new levels of efficiency and performance.AI platforms will be instrumental in driving the adoption of SDS solutions, as they can be used to optimize the allocation of storage resources across the data center environment. AI-driven resource management will provide the ability to automatically adjust storage configurations to meet the changing demands of applications and workloads.AI will be increasingly integrated with emerging storage technologies such as non-volatile memory express (NVMe) and storage class memory (SCM), which are poised to deliver even greater performance improvements over current flash storage solutions.Edge computing, which pushes computing capabilities closer to the data sources, is another area where AI is expected to contribute to the future of storage technology substantially. Edge computing can significantly reduce latency and increase overall system efficiency by processing data closer to the source rather than transmitting it to a central data center.In conclusion, AI is set to play a pivotal role in developing and optimizing future storage datacenter technologies. As AI-driven innovation continues to accelerate, we can expect these advanced storage technologies not only to transform the world of datacenters but reshape our digital world.Using AI Ethically and Responsibly in Storage Data CentersUsing AI in storage data centers often involves processing and analyzing large amounts of sensitive data. This includes personal information, financial data, and confidential business information. It is essential to ensure the data is protected and used only for the intended purposes. If AI algorithms are biased or discriminatory, they can perpetuate inequalities and unfairly disadvantage certain groups.The use of AI in storage data centers raises critical ethical questions about the role of technology in society. As AI technology becomes more advanced and pervasive, it is essential to ensure AI is used to promote social and environmental sustainability and does not contribute to harm or negative impacts on individuals or society.Wrap UpAziro (formerly MSys Technologies)’ Artificial Intelligence services help your organization be nimble, innovative, and fast. Our expert data scientists empower you to leverage techniques such as Natural Language Processing, Machine Learning, Natural Language Understanding, Entity Extraction, Crawlers built on the specific data set, Summary Creators, Cognitive visual services, and more cost-effectively.Our experts define your business requirements and deliver Machine Learning as a Service. This creates an intelligent landscape for improving communication between your products and customers, generating sharp insights, and enhancing security that completely transforms your support services.Are you ready to unlock the power of AI and revolutionize your data management processes?

Aziro Marketing

A Data Center

Storage Industry Trends for 2023

Storage Industry Trends for 2023With 2022 coming to a close, it’s time to start thinking about what trends will dominate the storage industry in 2023. Many exciting changes are on the horizon, from new flash innovations to ever-growing data volumes. Advanced storage technologies like DNA storage and immutable backups are on the rise, with some being further from mainstream adoption than others. The storage industry continues to become the focal point among organizations of all sizes due to the storage, management, and processing of colossal amounts of data.The data center market is on the rise and will grow by 10% between 2021 and 2030. Here are our top 8 predictions for the most significant trends in storage over the next few years. Keep an eye on these developments because they will shape the future of how we store and manage our data! 1.Increased Investment in Data Protection and SecurityThe cost of a data breach in the U.S. averaged $9.44 million in 2022. And for the 12th year in a row, the U.S. holds the title for the highest data breach cost, $5.09 million more than the global average. By 2025, the volume of data generated worldwide will exceed 180 zettabytes, which amounts to a whopping 40% annual growth. Data centers will implement robust security measures to protect critical data. In the coming years, better data protection is expected through physical and logical security. Actions may include, for instance, improved facial recognition technology and drones to build access control. Further adoption of ‘zero trust’ technologies, which prevent any user from connecting to the network without permission, will also be on the rise.2.Smarter Storage with Artificial Intelligence and Digital ToolsThe COVID-19 pandemic increased the move towards software automation and artificial intelligence — a trend that increased the need to ramp up the development of data centers. Data centers have evolved to be less dependent on humans, and this evolution does not seem to be reversing in a post-COVID world.Artificial intelligence for IT operations (AIOps) enables monitoring, diagnostics, predictive analysis, and prescriptive functions for storage infrastructure and applications. According to a recent market study, the AI-powered storage market is set to be worth around $25 Billion by the end of 2025, reflecting at a 17.56% CAGR over the period. Essentially, AIOps will tell the organization what is happening with storage, why it is happening, what could happen, and what to do about it. By taking much of the manual work out of storage management, AIOps will drive efficiency and free IT staff to work on other tasks.Data centers will continue to use digital tools — such as upstream computer simulations and tests for access control, electricity, heating costs, etc. — to streamline and optimize their operations. The use of digital tools allows the data centers to understand the various components in play when it comes to energy consumption, ensuring that all systems are consuming power optimally. Moreover, simulation tools can also help data centers determine the best possible layout of equipment to reduce distances between hardware and make sure that there is no wasted space.3. Increased Use of Public Cloud for Storage ArchitectureNew areas like CloudOps and FinOps are always highlighted to optimize data storage across clouds in the new hybrid and complex IT world. Prominent public cloud providers like Google, AWS, and Azure continue to expand, and independent software vendors (ISV) are investing heavily to provide data services in the public cloud.As per Gartner, more than half of enterprise IT spending in key market segments will shift to the cloud by 2025. Organizations are looking to leverage and extend traditional ISV data management solutions to the public cloud. Organizations will invest in storage solutions while planning for a shift to ISV or cloud-native deployments for storage in the public cloud.Dedicated cloud teams are formed in many organizations to accelerate the move to the public cloud. Cloud strategy is no more an “either/or” conversation; it is an “and” conversation.4.Containerized Storage Solutions Will Continue to Boom!The emergence of containerized storage solutions has revolutionized how businesses and organizations store data. Containers don’t get bogged down by differences in operating systems and software versions, and they are incredibly flexible and portable. That makes them a perfect fit for many cloud applications. And, as more and more computing and storage moves to the cloud, containers are likely to become a core technology. IDC projects that by 2023 over 80 percent of workloads will shift to or be created by containers.Furthermore, leveraging clustering tools allows scalability on an unprecedented level, enabling administrators to run applications from a single environment across multiple devices. Such solutions offer hassle-free provisioning and managing servers in multisite configurations thanks to integrated automation technology, making them ideal for large organizations with complex needs.Containers provide a secure platform while ensuring the lowest latency and highest reliability among the competing cloud options. With their fast implementation time and simplified deployment process, containerized storage solutions quickly become the go-to choice for businesses looking to improve their infrastructure operations efficiently.5. AI to the Rescue – Smarter Way to Address Infrastructure IssuesWith more and more dense infrastructure housed in a small space, data centers are challenged with ensuring the efficient dissipation of the heat produced. The use of Artificial Intelligence has helped to provide a more cost-effective data storage infrastructure. The global AI powered storage market size was valued at $15.6 billion in 2021 and is projected to reach $162.5 billion by 2031, growing at a CAGR of 26.7% from 2022 to 2031.Organizations will be looking to invest more in AI solutions due to the following benefitsData can be compressed and stored more efficiently using machine learning algorithms, requiring less physical space and infrastructure.AI helps automate data management and organization, making it easier to find and access when needed.AI helps reduce storage costs by detecting duplicate or near-duplicate content and assisting customers in moving or archiving the correct data at the right time.Storage Optimization Analytics using AI automates migration to lower-cost storage and tracks storage savings, computing the overall return on investment (ROI).AI is also increasingly playing a role in file compression. For videos, music, and images, AI-based compression can provide the same — or close to the same — level of visual quality with fewer bits. Another benefit is that it’s easier to upgrade, standardize, and deploy new AI codecs versus standard codecs since the models can be trained in a relatively short amount of time and — importantly — don’t require special-purpose hardware.AI-powered Storage Industry growth is seeing an uptrend in 2023 and is expected to maintain its dominance in the upcoming years due to digitalization.6. Increased Adoption of Environmental Stability MeasuresContributing to 2% of the total global greenhouse gas emissions, data centers have a significant impact on climate change and the environment. This has resulted in an increasing need and awareness of implementing measures to make data centers more environmentally friendly. The modern consumer is 88% more likely to perceive your business positively if you support inherent environmental issues. As organizations are becoming increasingly aware of the need for environmental stability in their IT operations, there is an increasing demand for adopting environmentally friendly practices in storage infrastructure.Systems to ensure the environment within the data center is kept at optimal temperatures and humidity levels to ensure the proper functioning of servers and other hardware.Monitoring solutions to keep track of any energy wastage, ongoing maintenance requirements, or unexpected temperature, humidity, or power anomalies to minimize disruptions or damage.Cold aisles containment, using efficient fans and cooling units, and more efficient lighting fixtures can also lead to more streamlined data centers that use less energy while generating less heat.Through these methods and initiatives, organizations will aim to reduce their environmental impact while ensuring performance levels remain consistent with high availability standards. In short, increased adoption of environmental stabilization measures will contribute towards sustainable Storage management and create better working conditions for IT teams in data centers.Pressure from customers, investors, and regulators has required the data center industry to make changes to support the environment. Data center companies will be working toward recycling and reusing equipment, using renewable energy, and creating more underwater data centers in the next year.7. Immutable Backups – The Best Ransomware DeterrentFor an excellent reason, the immutable backup technology is attracting the interest of many enterprises, mainly financial and legal organizations. “Immutable means cannot be changed.” Immutable backup helps organizations protect their data from unauthorized access or alteration. By backing up data in an immutable format, you can be sure that no unauthorized changes can be made to the data, which can help prevent data theft or corruption. Additionally, immutable backups can help you meet compliance requirements and maintain audit trails.Immutable storage can be applied to the disk, SSD, tape media, and cloud storage. Immutable storage is easy and convenient, allowing the user to create a file with the desired immutability policy. Immutable backups are the only way to be 100 percent protected from any desired or accidental erasure or change in backups. In a fast-paced business environment, where threats constantly evolve, immutable backups are soon becoming the game changers.8. All-Flash Storage will Continue to RiseMost storage manufacturers are looking to deliver solutions with 100% solid-state flash drives. The introduction of NAND flash into mainstream storage array products has evolved to additional advancements in the storage media to “storage class memory” (SCM). This has improved response times and delivered improvements in quad-level cell technology (QLC) to lower down costs of the previous tri-level cell storage products in use today.In the last few years, modern storage types have used a small computer serial interface (SCSI) stack – most recently via serial attached SCSI (SAS) – designed for spinning media introduced in the 1980s. This fabric must also evolve to ensure efficient use of the compute stack’s integration with storage. Non-Volatile Memory Express (NVMe) and NVMe over Fabrics (NVMe-oF) are introduced to help solve the problem. Server operating systems being updated with native NVMe-oF capabilities for FC, TCP, and RoCEv2 (for example), we predict growth in adopting new storage fabric technologies.Manage Your Storage Engineering Services Now!The storage industry is constantly evolving, and needs continuous innovation to keep up with the latest trends. We put together a list of the top 8 predictions for 2023. Aziro (formerly MSys Technologies)’ Storage Engineering Services allow your IT teams to focus on strategic initiatives while our Storage Engineers meet your end-to-end Storage Engineering demands. You can deploy the expertise and management of our team with complete control of your data.You can strategically reduce IT operational costs with Aziro (formerly MSys Technologies)’ Storage Engineering services. Our Data Storage Services are tailored for your specific service level requirements that will help you achieve the following:~50% Improvement in Data Recovery Rate~2x Enhanced Operational EfficiencyReal-Time Performance MonitoringLatest Storage Firmware UpgradesData Backup, Disaster Recovery, and Archiving24/7 Application Support and Value MaintenanceWe’ll help future-proof your business so you can stay competitive in this ever-changing market. Don’t forget that data protection will continue to be a key concern for businesses in 2023. Allow Aziro (formerly MSys Technologies)’ to make your storage solutions up-to-date and compliant with the latest regulations!Stay ahead of the curve, and book a consultation with us now! 

Aziro Marketing

Healthcare Private Cloud Deployment

How to Save Cost and Time with Reliable Cloud Storage and Backup Services

How to Save Cost and Time with Reliable Cloud Storage and Backup ServicesAre you confident that the backup software can restore all your data, even if you have it ready? Statistics show that 60% of backups are not complete, and 50% are unsuccessful in restoring data.According to Statista, Dropbox, Google Drive, and Microsoft’s OneDrive are the leading cloud storage and backup service providers with more than 2+ billion global users. Amazon Web Services (AWS) is another major player in the industry. AWS offers various cloud storage and backup services for businesses of all sizes. AWS customers could choose from different types of storage services, including block storage options such as Elastic Block Storage (EBS) and object-based options such as Simple Storage Service (S3).Choosing the right Cloud Storage and Backup Service can be a difficult decision. With over 15+ years of experience as a Cloud Engineer, I have always leveraged a service provider that meets my needs and budget and offers reliable performance and secure data protection. Many different services are available on the market today, and doing research can become a herculean task before committing.A proper Cloud Storage and Backup Service Provider offers a multitude of benefits, such as:A secure, reliable, and cost-effective way to store and back up large volumes of data.Eliminates the need for expensive, on-premises hardware solutions, allowing companies to save significantly on infrastructure and maintenance costs.Ensures data is stored safely in the cloud with backups automatically taken at regular intervals to guarantee maximum uptime of digital assets.In terms of scalability, it provides the flexibility to quickly expand or contract the available capacity depending on business requirements.Free trials so potential customers can understand how easy it is to use their services before committing to a long-term contract.All these factors combine to make a Right Cloud Storage and Backup Service Provider an ideal choice for businesses looking for secure digital asset storage with ample scalability options and cost savings. The best cloud storage and backup services offer a secure environment for users to store their data. All files are encrypted with robust encryption algorithms during transit and at rest, ensuring no one can access your stored data without permission. The services also come with advanced security features such as two-factor authentication and single sign-on, which help protect against unauthorized access to user accounts.From cost efficiency to collaboration capabilities, the right cloud storage and backup service should provide numerous benefits for its users — whether individuals are backing up personal documents or businesses syncing multiple accounts across multiple devices. Look for services with robust file-sharing capabilities, so you can quickly share documents with colleagues or clients and remote access tools to easily access your files anywhere in the world from any device connected to the internet.Before selecting a service, consider the following factors:Where is Your Data Physically Located?The physical location of a cloud server may affect your backup performance and recovery. So, choosing the exemplary cloud service for your backup needs is one of the key priorities. If the cloud server is far from your primary location, you may experience slow data transfer speeds to/from the cloud server. If the cloud server is too close to your prior site, natural disasters like earthquakes, floods, or power outages can disrupt your business operations, leading to data loss, time, and revenue. Therefore, the location decision should be based on the importance of data, the type of possible disasters, and the cost.In addition, some businesses may have compliance or regulatory requirements on data storage locations. Such organizations should carefully analyze their needs and select a cloud service to transfer and store data in authorized areas your company approves.No Hidden Cost: Pay for Only What You UsePrice is a significant factor when selecting a cloud storage or backup provider. Most providers offer free and paid services; free plans may suffice if only one or two users will access your data or you primarily utilize the service for backups. However, if you’ll need extra storage space or will frequently access files, a paid plan better suits your needs. The availability of features, such as support for multiple devices and platforms, can also affect the price of a project.Choose a provider that can scale up or down based on your storage needs. That way, you can easily purchase more storage space as needed without migrating large amounts of data from one provider to another. Ensure the provider also offers flexibility when upgrading or downgrading plans; most reputable providers will not lock customers into long-term contracts or charge hefty fees for plan changes.Additionally, some services charge based on usage, whereas others charge by subscription; check how much data you expect to store each month before choosing one option.Integration Compatibility with Existing ApplicationsBefore choosing a cloud service, you must ensure it can be easily integrated with other applications. Check if the cloud service provides an Application Program Interface (API) or program to integrate it with other software applications. Also, it can be shared with other legacy applications.Ensure that the cloud server is compatible with the existing applications (or storage devices) in your environment and that data stored on it is easily accessible through different operating systems and web browsers that are used in your organization.Encryption Technologies and Data Security FeaturesSecurity is among the most important considerations when selecting cloud storage or backup services. Encryption Technologies and Security Features: Ensuring your cloud storage provider is using the most up-to-date encryption technologies, as well as additional security features like activity logs and data encryption at rest, can help protect your data from unauthorized access or breaches.Customized Permissions: Setting customized permissions for specific users helps you control who has access to certain files/folders within your account, giving you added peace of mind when it comes to protecting your data.Two-Factor Authentication: Implementing two-factor authentication is an effective way to prevent unauthorized access to your cloud storage or backup services, as well as any sensitive information contained within them. By verifying that someone logging in is who they say they are, two-factor authentication ensures only the right people have access to your data.Multiple Platform Support: Ensuring Accessibility Across All DevicesCloud storage and backup services should be easy to use; otherwise, you may spend too much time setting up accounts and troubleshooting technical issues instead of focusing on other aspects of your business or personal life. Make sure to read user reviews online before committing to any service; this can give you an idea of how easy it is for someone with technology experience to navigate the interface and manage their account effectively.Ensure that the provider supports different platforms/devices (such as iOS vs. Android) so everyone in your household/business can easily access their files on any device they choose.Data Migration and Recovery Services for Cloud Storage and Backup ProvidersIt’s always wise to investigate what kind of migration & recovery services a cloud storage or backup provider offers if your existing system or files become corrupted beyond repair. Many providers have options such as automated file backups that quickly create a local copy of all stored files periodically, so they are not lost in case something unexpected happens with the server hosting them permanently going offline unexpectedly due to an outage, hack, virus attack, Etc.Look for providers offering specialized disaster recovery solutions should more severe issues occur with large numbers of lost data stored across multiple servers simultaneously – this ensures all critical information is recovered quickly without having any negative consequences for business operations/customer satisfaction levels, Etc.24/7 Customer SupportCustomer support is essential when using any online service; make sure that whatever provider you choose offers 24/7 customer assistance via phone, chatbot, and email so there’s always someone available who will be able to help resolve any issues promptly should something go wrong with either their software platform itself or more serious matters involving data loss due to hardware malfunctions.Look out for warranty plans that usually provide free replacements/repair work should any hardware faults occur during normal day-to-day operations. These plans typically cover physical hardware components and associated labor costs, providing peace of mind against unpredictable incidents occurring down the line, potentially leading to significant financial losses beyond expected expenses related to replacing damaged parts and more.Wrap UpWhen choosing a cloud storage and backup service, be sure to select one that meets both your technical requirements (e.g., encryption protocols) and your business needs (e.g., scalability). Doing research ahead of time will help ensure the provider offers quality performance and that it fits within your budget constraints while providing adequate security measures and other helpful features like collaboration tools or remote access capabilities.Aziro (formerly MSys Technologies)’ Data Protection, Back Up, and Recovery services span on-premises, cloud, and Hybrid IT environments. Our Data Engineering services facilitate scalable, cost-optimized, and robust data protection while adhering to security requirements. Our Engineering Architects help Data Protection, Back Up, and Recovery Product providers by developing snapshot-rich features that streamline the data recovery process. These snapshots are responsive to the cloud or on-premises infrastructure. For centralized management and stringent control mechanism, we implement Role Based Access Controls, SLA-based policies, and leverage REST APIs for increased transparency in data management.Right Swipe Aziro (formerly MSys Technologies) and Discover the Possibilities of Cloud Storage and Data Protection.

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Customer Support Process Automation

How Semantic AI Benefits FinTech: 8 Research-Baked Use Cases

IntroductionSemantic AI is a set of techniques, processes, and technologies that automate the generation of digital business applications and services by harnessing the power of machine learning. It allows businesses to focus on delivering end-to-end solutions that are more efficient and effective than traditional methods.Semantic automation is a subset of artificial intelligence that uses machine learning techniques to analyze unstructured or semi-structured data to make predictions. It’s often used in conjunction with other types of AI, such as deep learning, reinforcement learning, and neural networks. The word “semantic” means language and can help FinTech organizations design more accurate customer fidelity models and personas based on the relevant intent levels.Source – https://www.uipath.com/According to blueprism.com, financial services companies that have invested in intelligent automation have witnessed significant increases in their productivity rates, an improvement in their agility and resilience, higher accuracy and speed in areas like compliance, and better customer service. In fact, 87% of the respondents from the research have experienced digital acceleration in some way.The benefits of semantic automation are manifold: it helps companies gain insight into their customer base; it reduces costs by automating repetitive tasks; it increases productivity as humans can automate repetitive tasks so that the ones that are more critical in nature can be offered more attention.So, let’s unravel how semantic AI benefits FinTech companies:1. Cost OptimizationSemantic automation can help you to reduce costs and increase efficiency. For example, it helps you to reduce the cost of compliance.Approximately 75-80% of transactional operations, such as general accounting and payment processing, and up to 40% of strategic operations, such as financial controlling and reporting, financial planning and analysis, and treasury, are expected to be automated over the next ten years, depicts research by McKinsey & Company. AI can also increase the global banking sector’s annual valuation by $1 trillion, primarily by reducing costs.Semantic automation also helps in reducing fraud, customer service, and other operations by automating them through data analysis and machine learning algorithms that are powered by AI machines such as IBM Watson, Google Assistant, etc.2. Transfers Extensive Analog Processes to DigitalSemantic automation facilitates the process of converting analog data into digital data.Semantic automation allows us to transfer our existing processes into a new software system by using artificial intelligence (AI) and machine learning technologies like deep learning and neural networks, etc., to automate manual tasks.Digital transformation is changing the way business is done. Businesses that have adopted digital transformation have seen significant improvements in performance, efficiency, and cost savings.These benefits are typically achieved with the help of automation.Semantic automation transfers extensive analog processes to digital platforms by using existing manual systems to create new digital solutions. It has many benefits, including:Reducing errors or riskImproving efficiencyImproving quality & security3. Semantic Automation Powers RegTech & InsurTechSemantic automation is a process that uses artificial intelligence (AI) to understand the meaning of data. This understanding allows for the automation of tasks that would otherwise require human input. In the world of RegTech and InsurTech, semantic automation is used to power a number of different processes.One of the ways semantic automation is used in these industries is to help with regulatory compliance. Semantic automation can help identify and track important information that needs to be reported to regulators. The data comprehension abilities can save companies time and money as they no longer must spend resources manually gathering and tracking this data.Semantic automation is also used in risk management. By understanding the risks associated with certain activities, semantic automation can help companies make better decisions about protecting themselves from potential losses. Additionally, semantic automation can be used in underwriting to help identify risk factors and calculate premiums accordingly.Finally, semantic automation is often used in customer service applications. By understanding the meaning of customer inquiries, semantic automation can provide better customer support by automatically routing inquiries to the right person or department. Additionally, semantic automation can be used to create knowledge bases that contain information about commonly asked questions and their answers. These knowledge bases can help customer service representatives provide better support by giving them access to relevant information to the customer’s inquiry.4. Semantic AI is Revamping the Banking SectorSemantic AI is revamping banking and helping banks provide more personalized services. It’s transforming how banks do business by making it easier for them to understand their customers and make better decisions based on that knowledge.Some of the benefits of Semantic AI include:Improved customer service due to more personalized recommendations and offers.Increased efficiency as a result of automating previously manual tasks.Enhanced security as systems become better equipped to identify and prevent fraud; andGreater insights into customer behavior can help banks improve their products and services.For example, using a technology called the knowledge graph, which is employed by tech behemoths like Amazon, Google, and Apple, it’s possible to connect several databases into one cohesive whole where information can be searched across those sources to deliver personalized experiences for each individual user—and all without requiring any human intervention.5. Augments Your Digital Workforce to Empathize, Collaborate, Network & CreateOf course, the most apparent benefit of semantic automation is that it can help you to augment your digital workforce. For example, software and systems are programmed to take on multiple business functions and perform them without human intervention. For example, one program could be responsible for managing customer relationship management (CRM), while another could handle sales lead generation through social media campaigns or email marketing campaigns.Semantic automation also allows companies to scale their workforce as needed by using AI-powered bots instead of hiring new workers every time there’s an increase in demand for labor within their business model.6. Systematically Integrating & Automating End-to-End FinTech OperationsSemantic automation leverages machine learning and AI to automate tasks that humans can do. It’s a great way to streamline your end-to-end FinTech operations, including:Helping you increase customer satisfaction with your servicesImproving the quality of your dataMaking it easier for you to scale up without having to hire more people7. Data-Driven Approach to Improve Customer ExperienceA data-driven strategy is unavertable to improve the quality of services.Semantic AI is a technology that uses machine learning models to analyze data. Semantic AI can help businesses improve customer experience by decrypting diverse data points. For example, Semantic AI can identify customer sentiment from social media data and use this information to improve customer service.Semantic AI can also use data to create personalized recommendations for customers. By understanding a customer’s preferences and past interactions, Semantic AI can recommend products or services that interest the customers more. This approach can improve customer satisfaction and loyalty.Overall, Semantic AI can use data to understand customers and their needs better. This understanding leads to improved customer experiences and ultimately increased profits for businesses.8. Securing Services with Better Fraud ManagementSecurity is a top priority for financial services. Consequently, the rise of new regulations and data protection regulations such as GDPR has become the norm, which facilitates companies to protect customer data and avoid its misuse for purposes other than those stated in their privacy policies.Semantic AI secures FinTech services with better fraud management by understanding the meaning and context of data, calling for more accurate identification of fraudulent patterns and potential threats. Additionally, Semantic AI can help to automate the process of fraud detection and prevention. By analyzing data as it comes in, Semantic AI can identify suspicious activity and alert FinTech employees to take appropriate action. As a result, Semantic AI can help to keep FinTech services safe and secure from fraudsters.Not only semantic automation improves security, but it also improves customer experience. A semantic technology system will help you build a better and more secure model using external data sources such as social media posts or emails sent through multiple channels. It also allows you to scale your business quickly across omnichannel, as it does not require any changes in existing systems but instead works alongside them so that they become more intelligent over time.Wrap upSemantic AI is a big deal, and it will only get bigger. It’s already being used by companies like Amazon, Google, and Facebook to power their services. But what should a FinTech company do to leverage semantic AI?The answer lies in building an intelligent system that can understand your customers’ or users’ needs better than you do—and then delivering them with the right product or service at the right time. If you’re not doing this now, start looking at how your competitors are doing it; if they have figured out how to do it (well enough for their own benefit), there’s already evidence and a pragmatic roadmap for you to get started.Semantic automation can help you scale your FinTech services by automating the process of understanding and extracting meaningful insights from data. The technique allows you to keep up with the ever-growing demand for data-driven services and to stay competitive in a digital-first world.The future of semantic AI looks very promising. With the rise of big data and the internet of things, there is an increasing demand for services that can make sense of all this data. Semantic AI is well-equipped to handle this challenge, and we expect to see many more innovative FinTech applications utilizing semantic automation in the future.At Aziro (formerly MSys Technologies), we have over 320+ FinTech engineers with 8+ years of experience delivering cutting-edge FinTech services. Best practices and time-tested methodologies drive our DevOps teams so that you can be assured of end-to-end, high-quality FinTech services. Supercharge your FinTech ecosystem with AI; contact Aziro (formerly MSys Technologies) for full-stack FinTech services.

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A Data Center

How-to Build a Remarkable Data Storage in a Cloud-Native Environment

Data storage is one of the most important aspects of any IT infrastructure, and cloud-native environments are no different.47% of enterprises cite data growth as one of their top three challenges.Managing storage growth is the dominant pain point for 79% of IT professionals.Data storage requirements are growing at 40% per year.Cloud-native environments are quickly becoming the go-to choice for corporations of all sizes regarding scalability, flexibility, and cost savings. And yet, with these opportunities come unique challenges such as security, governance, and integration that need to be managed effectively to get the most out of the platform–especially when working with mission-critical data.If you’re an IT professional or leader in the cloud-native environment, you’ve had to confront the data storage issue. Finding a robust and reliable solution for storing your important business assets can be challenging and time-consuming – but it doesn’t have to be.In this article, we’ll share our know-how on creating and managing a unique data storage system that will serve your enterprise needs now and into the future. So, stick around–you’ll leave equipped with knowledge on how to build your own robust environment and tips for getting past those common kinks so that nothing gets in the way of achieving success!Be Honest About Your Data Storage RequirementsDefining the requirements for your data storage is an important part of maintaining a secure and efficient system. Source : TechTargetThe process begins with identifying the types of data that need to be stored, ranging from structured or unstructured information such as customer records, financial transaction records, confidential documents, or any other form of digital information. Once the data type has been identified, it is necessary to consider what techniques or systems should be used for storage and processing. These could include cloud-based solutions, on-premises hardware, virtualization technology, or software-as-a-service (SaaS) applications.Forrester estimates that storage capacity requirements are growingat a rate of between 15% and 25% per year.You also need to consider the size and complexity of your data. Smaller datasets can be stored in traditional relational databases like MySQL, while larger datasets may require a more sophisticated solution such as Apache Cassandra or Google Cloud Bigtable. Next, you’ll need to consider how often your data will be accessed and whether it needs to be accessed from multiple locations. A distributed storage solution such as Apache Cassandra may be the best option if your data is updated regularly and needs to be available from various places.Planning and Designing Your Data Storage InfrastructurePlanning and Designing Your Data Storage Infrastructure is critical for any organization. To ensure that data is appropriately stored, secure, and accessible, organizations must create an infrastructure that meets their needs. You’ve got to get creative when planning and designing your data storage infrastructure. How do you maximize performance while creating secure backup? You’ll want a balance of cost-effectiveness and storage capacity. But no worries – with some preparation and technology prowess, you can create an infrastructure that works for you. After all, multiple types of data must always be available quickly and safely for your business to operate optimally.When planning the architecture of your data storage system, here are some questions to ask yourself:How Often Do I Need to Access My Data?38% of public cloud storage users keep inactive data in the cloud.It’s important to consider the frequency at which you need to access the data and its sensitivity and criticality. If the data is highly sensitive or mission-critical, it is recommended that regular backups are made and stored in a secure location with frequent updates. Operational purposes data should be stored in an easily accessible format so it can be accessed quickly and regularly. Lastly, if you need to access your data infrequently, then long-term archiving solutions should be put into place to store your data securely while minimizing any retrieval time associated with accessing the information when needed.What are my Security and Scalability Requirements?This includes choosing the appropriate hardware and software solutions and developing a network architecture that ensures effective communication between computing resources. Additionally, organizations must consider security protocols that suit their environment to protect their data from unauthorized access or misuse. Organizations should also consider future scalability when designing their data storage infrastructure to accommodate increased demand should it arise.Which Service Provider Should I choose?The next step in planning and designing your data storage infrastructure involves selecting one or more service models depending on the organization’s needs and budget restrictions. Examples of service models include public cloud computing services such as Amazon Web Services or Microsoft Azure; virtual private cloud (VPC) services; private cloud services such as OpenStack; or hybrid cloud services, which combine public cloud resources with existing internal IT infrastructures to meet specific organizational goals. Source : TechTargetSo, roll up your sleeves and get ready for intelligent system tweaking – now is the time to create an optimized data storage infrastructure!Securing Your Data Storage InfrastructureAt the heart of any effective plan for securing data storage infrastructure is understanding the different types of threats that can affect an organization’s data assets. These may include external attackers, malware, ransomware, internal users with malicious intent, or even natural disasters or accidents such as fires or floods. Understanding the different threat scenarios allows organizations to develop a tailored security plan that specifically addresses each type of risk. Source : TechTargetEncrypt Data at Rest and in MotionData encryption is a vital component of any secure data storage infrastructure. Encryption algorithms are used to scramble the contents of a file or database so that it cannot be read without having the appropriate decryption key. This protects against malicious actors trying to gain access to sensitive information by bypassing authentication protocols and gaining unauthorized access to data files.Additionally, encryption can help prevent accidental leakage of confidential information by ensuring that if it does make its way out into the public domain, it is unreadable and, therefore, useless to attackers.Protect Sensitive Data Against LeakageIT teams should adopt a data loss prevention (DLP) system to detect the unauthorized transmission of confidential information such as customer records, financial data, intellectual property, or other proprietary information. The system can be configured to recognize patterns in data transfers and alert administrators if it detects any potential threats. The system can also be configured to prevent the transfer of sensitive data by blocking specific websites or emails containing suspicious content.Implement Authentication SystemsAuthentication systems are also critical for protecting stored data assets. Authentication protocols require users attempting access to enter credentials such as usernames and passwords to prove their identity before being allowed access to sensitive information. Multi-factor authentication (MFA) takes this process further by requiring additional forms of identification, such as biometric scans or token codes, in addition to traditional username/password combinations, for greater levels of protection against potential intruders attempting access with stolen credentials.Install Physical SecurityIt’s also essential for organizations to implement physical security measures around their data storage infrastructure to protect against unauthorized entry into restricted areas where sensitive information is housed. This could include controlling access using card readers and CCTV surveillance systems, using reinforced locks on server equipment cabinets, and designating specific personnel with authorized clearance levels required for accessing certain resources within the network environment.Data storage is only as secure as its weakest link, so knowing where those weak points are will give you confidence in your project in the future. Stepping back and defining the rules of engagement for data security and overall data storage may sound like it could be more entertaining, but it will save you time (and money!) in the long run.Creating a Cloud-Native Data Storage InfrastructureIf you’re ready to get serious about your data storage infrastructure, it’s time to buckle down and roll up your sleeves. It won’t happen in a snap, but don’t worry — before you know it, you’ll be ready to store enormous amounts of data without having to worry about buffering or bandwidth issues. After all, who says infrastructure building can’t be fun? Enjoy the process as you schmeer some technology glue around and put together the pieces to make your storage dreams come true!For a cloud-native environment, you’ll need to use open-source tools like Apache Cassandra and ZooKeeper. Apache Cassandra is a distributed NoSQL database that is well-suited for storing large amounts of data in a highly available manner. Here are some of the steps involved in creating a cloud-native data storage system:Start by selecting the desired cloud storage technology for your data. This can include block, object, or file storage options such as Amazon S3, Azure Blob Storage, Google Cloud Storage and Rackspace Cloud Files. Once you have chosen the storage system that best fits your application requirements, you will need to configure it with your cloud environment.Create a secure connection between your on-premises resources and the cloud storage service by setting up a virtual private cloud (VPC) or configuring a public IP address. Configure Network Access Control Lists (ACLs) to restrict access to specific IP addresses and ports to ensure that data is transferred over a secure network connection.Set up the necessary authorization settings to ensure that only authorized users can access the data stored in the cloud.This might involve setting up user accounts with different permission levels or using identity management solutions like Active Directory or LDAP for authentication and authorization purposes.Design an architecture suitable for storing large amounts of data in the cloudwhile also considering scalability needs to handle future increases in demand. Depending on the type of data being stored and its size, different databases may be required, such as NoSQL databases like MongoDB or relational databases like Oracle Database Exadata Cloud Service.Set up an automated backup process for regularly backing up valuable data stored in the cloud to be easily recovered in case of disaster or other unexpected events. Data synchronization should also be used to keep multiple data sets updated with any changes made in real time across different regions and locations worldwide, ensuring high availability and reliability.Monitor usage regularly to measure performance levels and identify potential problems associated with storage capacity constraints or latency issues caused by variations in network traffic conditions across different regions/locations worldwide, where applicable. You should also monitor security threats from malicious actors trying to gain unauthorized access to your cloud service.Finally, it would be best if you implemented complex security measures such as encryption at rest, encryption of network traffic, user authentication, key management, vulnerability scanning, patching, intrusion detection/prevention systems (IDS/IPS), etc., to protect valuable data stored within your cloud environment as well as any administrative activities are done by users/administrators who manage it.Maintaining and Troubleshooting Your Data Storage InfrastructureMaintaining and troubleshooting your data storage infrastructure is like playing a real-life game of Jenga: one wrong move and everything comes tumbling down. Constant savvy monitoring and preventive maintenance are crucial to ensuring that your data storage infrastructure remains stable and secure. Put yourself in the driver’s seat by establishing preventative care plans that include regular system health checks and tests, firmware updates, configuration changes, etc. Keep it running smoothly with reliable and tested backup solutions. If a problem occurs, the show must go on! Respond quickly and proactively to keep those pesky computer bugs at bay while minimizing downtime so there will be no tears when you come to take away their toys!Maintaining and troubleshooting data storage infrastructure requires a suite of technology solutions to keep the system performing optimally and detect and address any problems that may arise. The most common technologies used for this purpose are RAID (Redundant Array of Independent Disks), SAN (Storage Area Network) systems, NAS (Network Attached Storage) systems, and backup software.RAIDRAID is typically used as a form of data redundancy to ensure data availability if one or more disks fail. It works by writing the same data to multiple drives in parallel, ensuring that the other drives will still have the required information even if a drive fails. Different RAID levels can be used to optimize performance and provide varying levels of protection; these include RAID 0, 1, 2, 3, 4, 5, and 6.Storage Area NetworkSANs are also commonly used for highly available storage networks due to their ability to separate physical hardware from logical partitions/volumes. They allow administrators to configure different types of virtualized storage across multiple disk arrays without requiring them to move physical hard disks. Additionally, this type of system provides high scalability because it allows for shared access across various hosts without reconfiguring anything else on the network.Network Attached StorageIn many respects, NAS systems are similar to SANs; however, they are designed explicitly for file-level access over local area networks rather than block-level access over wide area networks. This solution is usually preferred when storing larger files, such as multimedia or virtual machine images that require high throughput speeds. It is also beneficial when dealing with more users who simultaneously need access to the same files over a LAN or WAN connection.Backup SolutionsFinally, backup software is essential for keeping an up-to-date copy of all stored data should disaster strike and make it impossible for users or administrators to access it directly from its native location on the network. Many backup solutions are available these days that offer incremental backups as well as complete system restores; these solutions often include cloud-based options, which further increase reliability since it ensures that copies of your data will be kept offsite at remote locations in case something happens locally that renders your primary storage inaccessible or destroyed altogether.Wrap UpNow that we’ve gone through phases of data storage requirements, planning, designing, building, and maintaining, you should have a much better understanding of how to approach this important task for your business. Remember that choosing the right solution for your needs is critical to ensure optimal performance and accessibility to your data.Aziro (formerly MSys Technologies)’ Managed Storage Services enable your IT teams to focus on strategic initiatives while our engineers meet your end-to-end storage demands. The experts at Aziro (formerly MSys Technologies) can help your business to simplify complex and heterogeneous storage environments. Our scalable data storage infrastructure ensures that your company has the winning edge over your competitors.Contact us to help you find the best solution for your Data Storage needs.

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A Data Center

Aziro Predictions 2022: AI/ML to Disrupt SNVC Space as DevOps Specialization and Metaverse Play Their Part

The drive for progress in Information Technology (IT) for the year 2022 will emerge from the anxieties churned up by 2020 and 2021. No matter what plans and vision accompanied us as we entered this decade, things have uniformly aligned themselves to a single human goal – Sustainability. This is the umbrella under which our experts from various technology fields have predicted the course for 2022. The preamble is majorly centered on – Security, Decision Intelligence, Global accessibility, and Work-strength. 1. Storage 1.1 Storage Sustenance to Find Data Protection and Storage Security at its Core If there was one lesson that 2021 rather harshly taught the IT world it was to never underestimate the cyber attackers. Failing to keep up with their creativity, 2021 saw many major businesses falling prey to Ransomware attacks, or worse, supply-chain attacks. Every incident was heavier on the wallet than the last one. Therefore, while Storage sustenance is touching upon newer avenues, 2022 will see a better investment in security and protection of storage systems and backup infrastructures. Cyberattacks already seem to have found vulnerabilities in Data Loss Prevention (DLP) and Intrusion Detection tools which is working in favor of their easy evasion. Therefore, 2022 will initiate a long-term collaboration between security and IT teams. AI/ML will play a major role in working out automated security and vulnerability detection solutions along with faster threat remediation. Solutions like XDR (Extended Detection & Response), SOAR (Security Orchestration, Automation and Response) and multifaceted security infrastructures are highly awaited this year. 1.2 Decentralized Cloud Storage Amped Up To Take the Reins The world was forced to explore remote accessibility and now turning back doesn’t seem a popular choice. With Cloud computing at an all-time peak, organizations don’t want their storage ecosystems to stay behind. Software-Defined Storage has already proved its mettle for flexible and automation savvy storage. DevOps experts also seem to heavily favor the hybrid cloud infrastructures because of eliminated vendor lock-ins and application portability. This means that 2022 is all set to welcome Cloud Storage backed with Software-Defined Storage to take up the center stage in data persistence. Open-standards based decentralized storage systems would come forward to leverage physical and virtualized resources and interoperable containerized platform making data management easier and more business-friendly than ever. 2. Networking 2.1 AI-Driven Network Automation For Secure Remote Accessibility The radical breakthroughs in Networking are more in terms of extending the capabilities of Software-Defined WANs (SD-WAN) to make the network more automation friendly. AI-driven network resources and wireless innovations seem to assert their position as key players in the networking domain for 2022. Design intent metadata metrics, domain-specific actionable ML, and virtual network assistants are likely to latch on to the network edge and make their way into the mainstream. As the network edge undergoes a more distributed fidelity for their employees, the organizations are keenly seeking networking solutions that are easily manageable but uncompromising when it comes to security. Anti-Malware and Firewall solutions will also attract more resource investment for more reliable and breach-proof networks. 2.2 Cloud-Managed Networking Architectures and AIOps While secure accessibility goes beyond than just testing the AI waters, Cloud infrastructure is vigorously keeping up too. Cloud-managed networking utilities will continue to grow in 2022 and so will the ease of client telemetry and infrastructure maintenance. The adoption of AIOps has the digital transformation streets paved for it with a rolled-out carpet leading towards network troubleshooting, client behavior visibility, global network optimization, and enhanced wireless user experience. 3. Virtualization 3.1 Metaverse and Industry Virtualization Thanks to virtualization the global economy was able to manage one of its most drastic derailments in a slightly better way. 2020 and 2021 had the workforces locked inside their homes and only the organizations that had their digital accessibility resources in place could possibly push for business continuity. Thus, the virtualization trends that might’ve taken a better half of this decade to be fully implemented already seem to be a part of day-to-day work culture in most of the modern organizations. 2022 would carry on these trends further with technologies like the “Metaverse” already in place. With VR datafication based feedback systems and immersive simulations testing waters for better customer experience this year is sure to lay the foundation for long-term industry virtualization solutions. 3.2 Enhance Virtualization Performance with 5G Another aid that emerged in favor of speeding up the virtualization innovations was 5G wireless. Virtualization service providers couldn’t have asked for a better timing for 5G to turn up. 2022 would see organizations enjoy better network slicing, QoS, and Open API integration for network functions. The virtualized infrastructures would be able to stream and perform at better speeds while the DevOps teams leverage virtual and augmented storage, networking, and CI/CD resources for their innovative solutions. This is also a great news for Hybrid cloud infrastructure and AI-based solutions as now they can have a uniform playfield for public and private business clouds and datacenters to operate upon. Virtualization tools for cloud computing, configuration management, and application discovery management would be able to seamlessly manage the Kubernetes environments while enabling remote collaborations for hybrid workspaces. 4. Cloud 4.1 Encouraging Hybrid and Multi Clouds with Consolidated Security Platforms With 5G and AI enhancing our network and virtualization capabilities, Cloud platforms will also have to gear up against the cyber threats. 2022 will see the IT security teams and digital think tanks to come together and develop consolidated security platforms for multi-level security and minimal management complexities. While more and more organization are tempted to engage hybrid cloud and multi cloud environments, it would make sense for Security Service Edge (SSE) platforms to come out at the front and rise to the security challenges related to surface exposure, access management, and legacy infrastructure silos. Data security being of utmost priority, these consolidated security platforms would layout phase-wise security solutions to tackle the fresh cyber threats that created a menace in the yesteryear. 4.2 Flexible and Smart Cloud Migrations The reason organization are keen to move towards hybrid and multi cloud environments in the first place, is the promised flexibility. Therefore, in 2022, along with all the security work being done at its pace, organizations will also focus on more flexible cloud deployment models, and infrastructure optimization for more mature cloud capabilities. As a lot of organization may want to regulate the pace for their cloud migration and operation, hybrid clouds would be just the right fit. Companies will now be able to architect, optimize and streamline their cloud infrastructure offering better DevOps capabilities and digital transformation solutions to their customers. Moreover, here too AI/ML would be employed to incorporate the require automation for better management of cloud native services, data analytics, and business intelligence. 5. DevOps 5.1 Ease of DevOps with Low-Code and AI While DevSecOps and Shift Left will continue to grow and AIOps, as we discussed above, will make its way to mainstream market, 2022 will also see DevOps democratizing and demystifying software development. The Low Code practices will be encouraged for rapid innovations with shorter test cycles and quicker deployments through the CI/CD pipelines. Even the organization sceptical about AIOps or MLOps, would be willing to integrate varying extents of AI-enabled services into their agile development methodologies to eliminate downtimes, quick troubleshoots, and faster change management workflow. As see above, with better datacentre and cloud capabilities, DevOps team would find more space to enable data-driven business intelligence and improved operational metrics for people, technology and execution. 5.2 DevOps Specializations Ahead We have discussed AIOps and DevSecOps so far but these aren’t the only specializations that DevOps would explore this year. Most of the organization already have basic DevOps machinery in place and therefore with all the developments in cloud and datacentre technology, will be able to work on specializing DevOps for their needs. SRE, CloudOps, and DataOps would be a few important names that the companies would be keen to adopt in 2022. DevOps teams would start edging toward more specialised data and intelligence needs to streamline more business oriented processes for their organizations. Such specialization cannot be limited to just DevOps process but would also affect the DevOps teams that would incorporate new divisions and roles to accommodate their specialized DevOps needs. For instance SRE engineers would be required by DevOps pipelines that require better recovery processes in places while DataOps would be more keen to hire data analysts and specific developers with experience in developing data-driven solutions. Moreover, with its increasing popularity, GitOps might be a game changer in 2022 by engaging microservices development for better developer platform strategies, deployment processes and network utilization. 6. Kubernetes and Infrastructure Automation 6.1 Closing the gap between Kubernetes and Cloud-Native SaaS and Containerization are ascending towards their prime and Kubernetes seems to be all the push they need. In 2022 organizations will be keen to make this push more cost-optimized by bringing Kubernetes and cloud-native development closer than ever. Containerization being the key, Kubernetes will aid cloud-native DevOps to integrate with more futuristic technologies like AWS lambda, Service Mesh and Azure Functions. This is a happy news for infrastructure management that seems to be weighing light on either abstraction or security over the past few years. In 2022, organizations won’t have to make a choice and they can see their flexible could environments working in a better synergy with Kubernetes. 6.2 Infrastructure Automation With Kubernetes and Cloud-Native gaining upon their friendship, Infrastructure automation would be happy to venture upon fresher avenues in 2022. Containerization and hybrid cloud flexibility would allow infrastructure virtualization to be more agreeable with intelligent data-driven and ML-based tools allowing for automated infrastructure management. Technologies like Internet of Things, Infrastructure as a Service, Software Defined storage would have all the right catalysts in 2022 to bring about the change reaction for more autonomous risk analysis, downtime troubleshooting and intelligent container orchestration. 7. QA 7.1 Data-Driven, Intelligent QA Automation QA automation already has some of its processes like Continuous Testing and RPA testing in place and they will continue to grow in 2022 as well. What seems like a remarkable trend for 2022 QA is the data-driven approach that it’s edging towards. QA engineers will loop in some data-driven tools to monitor and act upon critical quality indicators for a more targeted test automation and optimization throughout the DevOps pipeline. Again, Artificial Intelligence will have a major role to play here especially with all the momentum it will build up with specialized DevOps and automated infrastructures. In 2022, companies across scales and sizes will be willing to incorporate AI into the creation of automated QA scripts, test prioritization, test environment management, and early prediction of issues. Therefore, an end-to-end integration of QA and AI resources would not only result in lower delivery time and defect detection, but a more secure testing process owing to the transparency and continuous monitoring capabilities it will provide. 8. UI/UX 8.1 Virtualization and UI/UX grow together We talked about Metaverse and its effects on Virtualization. 2022 will also see Augmented Reality (AR) and Virtual Reality (VR) having similar effects on UI/UX innovations. Many giant organization have already been setting up consolidated XR hubs for such innovations where augmented environments and simulations can be deployed to incorporate feedbacks from the end-users. Such User Experience avenues will extend much beyond this decade but 2022 will be the year to lay down the foundation stone especially with regards to minimizing UI complexity and integrating multi-faceted interfaces for the ease of use. 8.2 Reusable Design Libraries The stay at home services have also forced the UI/UX thought leaders to set up a design system that enables engineers to develop proactive libraries for easily reusable design templates based on user feedback. Such a systems is essential for rapid UI changes that are heavily required now more than ever. Especially with the pace at which the “Metaverse” is expected to move ahead, such reusable libraries would ease the extension of UI to multiple devices, varying resolutions and at the end a comfortable experience to the end-user. 9. Artificial Intelligence (AI) 9.1 Double-down on AI Inside Artificial Intelligence in 2022 will thrive deeper into more traditional markets as more and more enterprises leap towards digital transformation. The more “AI inside” platforms will emerge as organization strive to narrow the latency between insights, decisions, and outcomes. 9.2 Responsible AI will become the norm In 2022, we expect the demand for responsible AI solutions to extend past their regular industries to other verticals using artificial intelligence for critical business operations. Its high time AI/ML vendors had their chance to explore newer specializations and 2022 seems the perfect year to start that journey with interpretability, bias detection, and model lineage capabilities already making their way to mainstream digital market. 9.3 Creative AI will win several patents This AI reached South Africa for its first patent in the country. A privilege that was reserved for Humans so far, especially in EU and US, was finally extended to an Artificially Intelligent System. This means that 2022 is going to be a big leap for creative AI systems especially in terms of legal recognition and mainstream opportunities. 10. Dashboard and Data Analytics 10.1 Natural Language Querying for Data Visualisation Dashboards have been efficiently helping organizations to put in their data analytics, UI/UX, and Microservices skills together among other for a clean and insightful surface visibility. Therefore, taking their capabilities a step further, Natural Language Querying (NLQ) would enhance their ease of use with an obviously easy interface. This is a good news for both business leaders and the BI professionals working tirelessly at the backend to ensure insightful data visualization on-demand. 2022 would see notable development in this direction making NLQ and Data I synergize for a never seen before branch of Dashboard innovation. NLQ-based Dashboard will be able to proactively train for instructions while gradually adapting to the key user delivery for an even better data insights and actionable intelligence. 10.2 Higher Adoption of Business Intelligence Tools Business Intelligence tools themselves have been moving at a rather slower pace than expected. However, the events of 2020 and 2021 and the need for better business continuity resources has motivated different industries including retail and manufacturing to actively look for suitable BI tools and technologies in the coming years. Predictive Data Analytics is being vehemently explored for its promises to mine the business data and optimize the business processes as per the market needs. If nothing else, predictive analysis itself would spend the tenure of 2022 finding its way into various digital transformation projects and integrating with various BI tools. The critical variable would be the ease with which the users from minimal to no technology background can operate on such tools for decision-worthy insights and reports. 11. Fintech 11.1 Modernizing the Finances Fintech is in for a pretty happening time starting this year. There’s embedded solutions like in-built payment gateways that are already integrating with the traditional finance platforms for better customer experience. Then there are the pay-later solutions that a lot of tech giants are already offering. But the spotlight still seems to be fixed upon Crypto and NFTs that are going through an adventure of their lifetime. Blockchain technology has already had heads turned in the past few years, but the traditional institutions are now looking upon drawing suitable derivations from the existing crypto technologies. Traditional stock exchange firms are looking upon harbouring the time optimization and ease of use and security offered by blockchain to accelerate asset transfers, investments and transactions. With the innovations emerging in data analytics and better Fintech resources, organizations are also looking to enable better fraud detection and reliable customer experience. 12. On-Demand Talent Acquisition 12.1 Flexibility will drive acquisition and retention amid the Great Reshuffle While the “great reshuffle” baffled a lot of companies, talent acquisition and retention was bearing a big question mark in the yesteryear. Therefore, 2022 would see some big workplace policy changes for a better talent pool maintenance. Along with hybrid work models, on-demand hiring would be a more welcome option for organizations that are now looking for flexible workforce to serve their end-clients. On-demand acquisition would be the most flexible option for both the employer as well as the workforce owing to its promises of better upskilling opportunities and optimized costs and time management. This is also a good news for internal mobility programs where the talent resources would get to work on a wider domain for technologies while the organizations get to leverage their skills in a much productive way. 13. Quantum Computing and RPA 13.1 Quantum Computing to the Rescue In 2022, we predict that several organizations making quantum computers will double their QCs’ quantum volume—the number and reliability of the quantum bits available for computation—from what it was in 2021. Restrained only by the laws of physics, quantum computing will potentially extend Moore’s Law into the next decade. As the commercialized version of quantum computing comes within our range, breakthroughs will occur at a speedy rate. More and more enterprises will utilize these larger quantum computers to resolve real-world issues. They will unite experts, choose exciting and valuable use cases, survey the academic literature, and pick problems they want to tackle. The quantum model is expected to evolve more in terms of size and performance as per the scale of these use cases. 13.2 Data Safety Paramount for RPA RPA will move ahead of the initiation phase, which it has been lurking in all this while now. In 2022, RPA will explore more use cases that would help augment overall business operations. With better optimization through RPA, enterprises will have rich data sets to get critical insights. But, the focus will largely remain in ensuring that security architecture surrounding the operations meets the most rigorous industry standards. This is to safeguard data from hackers and identity thieves for sectors like FinTech and healthcare and consumer. 14. Cybersecurity and Blockchain 14.1 Proactive prevention of threats will change in regards to the present data Data on threats was always available previously, just that the proactive prevention methods weren’t workable earlier. However, this will change in 2022 due to the implementation of cybersecurity threats all over the world. More businesses are increasingly adopting analytical techniques like machine learning to deal with cybercrimes and threats to prevent from further damage. Most of these organizations will opt to hire professionals. 14.2 Blockchain Technology For Secure Interactions 2022 is going to be the year when blockchain is accepted with open arms even by the traditional and more sceptical players in industries like Fintech. Its vast compatibility with IoT (internet of Things) and secure interaction among different systems makes it just the right contender for existing security and accessibility challenges. A lot of Blockcahin pilot project will be initiated owing to its promise of helping resolve issues around security and scalability due to its encrypted, automated, and stable nature. We might need to travel a little further before it starts impacting our day-to-day lives, but 2022 will be the year when we’ll look back to see where it all started. 15. Virtual and augmented reality 15.1 Use of artificial intelligence (AI) into the AR/VR environment Global Enterprises and ISVs are already impressed by the little offering from AI and Virtual Reality that they got to enjoy so far. The gateways to more disruptive AR/VR solutions in the market are now open with a red carpet. They’ll look at how progressive machine learning algorithms and other AI approaches can assist computers and other gadgets to observe and understand things efficiently. As a result, highly engaging workplaces and improved picture recognition abilities will develop. Conclusions The 20’s are going to be an important decade in deciding the relationship between the man and the machine. While Storage, Networking and Cloud are all concerned about security before anything else but the promises or AI/ML and Blockchain are lucrative enough to allow them some space for exploring new industrial innovation and digital transformation opportunities. Moreover, with the Metaverse turning heads, it’s only a matter of time before our on-demand talent for Data Analytics, DevOps, UI/UX etc. is pushed to re-skill for some completely unheard of avenues in the digital industry. With the world coming back to track after a big halt, 2022 will catalyze a lot of long term chain reactions that would go on to entirely change the face of IT and business for the coming decades.

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How to Secure Your Application Layer in PaaS?

Do you know why several serverless and platform-as-a-Service (PaaS) services are favored today? The answer is because they eliminate several operational burdens and create budget efficiency. Though this sounds simple enough, when it comes to security, things can get a little complex.Companies make use of PaaS to streamline the development of application services, RESTful APIs, and all components that provide business logic. While some definitions involve traditional web hosting or a few elements of it in the PaaS bucket, from a security-oriented point of view, securing your PaaS use is closely tied to securing the underlying application supported by PaaS.To start with, your PaaS security checklist must include contractual negotiations with your provider and review and validation of the vendor environments and processes. This will also enable the vendor to identify your existing security models and security-relevant tools available to you.You must know that all cloud use cases require similar security precautions, and these are not unique to protecting PaaS. However, on top of these, IT security teams must focus equally on the application itself. This makes PaaS much more challenging to secure than any other cloud model.PaaS security strategies can vary from accommodating the business environment to business context to industry usage. However, here are a few PaaS security best practices that can be applied in almost every situation. Implementing these five steps can help to ensure that your applications are built and run safely in a cost-efficient way.Source – https://searchcloudsecurity.techtarget.com/Threat ModelingYour application security or PaaS must start with threat modeling. This systematic approach deconstructs your application design into multiple component parts and analyzes how these parts communicate through a cyber attacker’s eye. In assessing the application’s components and associated risks, threat modelers can map mitigation steps to remediate unknown vulnerabilities.Irrespective of which PaaS providers you are dealing with or for what purpose, building a well-organized threat model adds value. If required, your InfoSec team can update application security testing approaches to extend threat modeling to microservices and mesh architecture.Data Encryption at rest and in transitMost providers offering PaaS services either enable or require the client to encrypt data in transit. REST APIs, which interact making use of HTTPS as the transport, are the gold standard architectural style in application development, particularly in a cloud computing scenario. In contrast, “stored data” is less ubiquitously approached. Wherever possible, encrypt your stored data, irrespective of your customer data or configuration or session information. In PaaS, encrypting data at rest requires your security teams to embrace tools specific to the PaaS providers’ APIs.Finally, after encrypting the data at rest and in transit, you must pay sufficient attention to secrets management. This refers to the keys generated and used to implement at-rest encryption, as well as API tokens, passwords, and other artifacts that must be kept secure.Mapping and testing interactions across the business flowMaking use of multiple cloud service providers is no longer a rarity but the norm today. For instance, an enterprise can employ serverless at the edge for its A/B testing, AWS Lambda to execute business logic, Heroku to serve the UI, and more for different tasks. Therefore, creating and consistently updating a complete diagram of interactions is crucial. This process can support PaaS security best practice as threat modeling involves creating a data flow diagram to depict how components communicate.To ensure all elements are adequately covered during penetration testing, your InfoSec team must systematically test every component holistically and in isolation.Portability to Avoid Vendor Lock-inPaaS faces an unusual challenge because its supported features (security services, underlying APIs, and language choice) depend on the particular PaaS in use. For instance, one PaaS provider supports Java and Python, while another supports C#, Go, and JavaScript.PaaS consumers rarely can “drop in and replace” because of the underlying platform APIs. Therefore, it is necessary to use a language that is commonly supported across all providers. This helps in maximizing portability and minimizing vendor lock-in. Like Python, C#, and Java, frequently used languages are supported by all providers. Hence, it would be best to create wrappers around niche APIs to execute a layer of abstraction between an application or service and the underlying niche APIs. This indicates that, while changing providers, only one change needs to be made instead of making hundreds or thousands of changes.Advantage of Platform-specific Security FeaturesPaaS offerings are also different from each other in terms of the security features they provide. A user must understand what options are available and, wherever possible, it is imperative to enable them. Few PaaS platforms offer a web application firewall or application gateway that can be turned on to protect applications and services better. At the same time, others can offer improved logging and monitoring capacities. Here’s why InfoSec leaders must identify which security options are offered and then take advantage of them.Final ThoughtsA PaaS model requires an identity-centric security process that varies from enterprises’ strategies in traditional on premise data centers. Effective measures such as developing security into the applications, providing adequate internal and external protection, and monitoring and auditing the activities must be included in PaaS security approaches to win your war against the security risks. Evaluating the logs helps you to identify security vulnerabilities as well as improve opportunities. Ideally speaking, your InfoSec team must address any threat or vulnerability beforehand so that no attackers can see and exploit them.

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Decoding Disaster Recovery (DR) Scenarios in AWS

AWS is known to be a high-performance, scalable computing infrastructure, which more and more organizations are adapting to modernize their IT. However, one must be aware that no system is secure enough to ensure business continuity! Hence, you must have some kind of plan in place for your disaster recovery. With this article, we aim to discuss the top three Disaster Recovery scenarios that show the use of AWS:Backup and RestorePilot Light for Simple Recovery into AWSMulti-site SolutionAmazon Web Services (AWS) enables you to operate each of these three examples of DR strategies, and that too cost-effectively. However, it’s also essential to note that these are only examples of the potential approaches, but variations and combinations of these are also possible.Backup and RestoreIn most of the common environments, the data is usually backed up to tape and sent off-site on a regular basis. Also, using this method, the recovery time will be the longest. Amazon S3 is the perfect destination for backup data. It is designed to offer nearly 99.999999999% (11 9s) durability of objects over a year. Transferring data across Amazon S3 is mainly done through the network to make it accessible from any location. Numerous commercial and open-source backup solutions provide backup to Amazon S3. In addition, the AWS Import/Export service allows the transfer of vast data sets by just shipping storage devices directly to AWS.The AWS Storage Gateway service facilitates snapshots of on-premise data volumes to be copied transparently into Amazon S3 for backup. You can consequently create local volumes or AWS EBS volumes from these snapshots.For the systems that are operating on AWS, clients can also back up into Amazon S3. For example, snapshots of Elastic Block Store (EBS) volumes and backups of Amazon RDS are stored in Amazon S3. Also, you can copy the files straight into Amazon S3 or choose to create backup files and copy them to Amazon S3. Numerous backup solutions store your backup data in Amazon S3, and these can also be used from Amazon EC2 systems.Figure 1: Data backup options to S3 from on-site infrastructure, or from AWS.Source – Disaster Recovery OverviewHowever, backing up the data is just half the story. The recovery of the data in a disaster scenario needs to be tested and achieved quickly and reliably. Clients must make sure that their systems are configured to appropriate retention of data, security of data, and have tested their data recovery processes.Figure 2: Restoration from S3 backups to AWS EC2Source – Disaster Recovery OverviewHere are some essential steps for backup and restore:Pick a suitable tool or approach to back up your data into AWS.Make sure that you have a proper retention policy in place for this data.Make sure that suitable security measures are taken for this data, involving encryption and access policies.Constantly test the recovery of this data and restoration of your system.Pilot Light for Faster Recovery into AWSThe word “Pilot light” came into picture from a “gas heater.” Imagine, a gas heater is a small idle flame that’s always on, which can instantly ignite the furnace to heat up a house as and when required. The backup and restore scenario is similar to this gas heater scenario. However, you must also make sure that the most critical core elements of your system are already configured and operating in AWS (the pilot light).Infrastructure components for the pilot light usually involve database servers, which can replicate data to Amazon EC2. Depending on the system, other crucial data outside the database must be replicated to AWS. This is the decisive core of the system (the pilot light) around which all other infrastructure elements in AWS can instantly be provisioned (the rest of the furnace) to restore the entire system.The ‘Pilot Light’ approach gives a quicker ‘Recovery Time’ than the “Backup and Restore” scenario mentioned above because the core sections of the system are already operating and are continuously kept up to date. However, there are still some installation and configuration tasks to recover the applications completely. AWS allows you to automate the provisioning and configuration of the infrastructure resources, which can be an essential benefit to save time and improve protection against human errors.Preparation PhaseHere are some essential points to remember during preparation phase:Set up your EC2 instances to mirror or replicate data.Make sure that all supporting customized software packages are available in AWS.Creating and Maintaining Amazon Machine Images (AMI) of key servers where faster recovery is needed.Continuously run these servers, test them, and implement any software updates and configuration modifications.Automate the provisioning of AWS resources.Figure 3: The preparation phase of Pilot Light.Source – Disaster Recovery OverviewRecovery PhaseIn the recovery phase of the Pilot light scenario, key points for recovery:Begin application EC2 instances from customized AMIs.Resize and/or scale any database/data store instances, where required.Modify DNS to point at the EC2 servers.Install and configure any non-AMI-driven systems, typically in an automated fashion.Figure 4: The recovery phase of the Pilot light.Source – Disaster Recovery OverviewMulti-Site Solution deployed on AWS and on-SiteA multi-site solution operates in AWS and on existing on-site infrastructure in an active-active configuration. The data replication approach that you should employ can be defined by the selected recovery point (RPO). Like Amazon Route 53, a weighted DNS service is employed to route production traffic to different sites. A portion of traffic will go to the infrastructure in AWS, and the rest goes to the on-site infrastructure.In case of an on-site disaster, you can modify the DNS weighting and send all traffic to the AWS servers. Thus, the capacity of the AWS service can be rapidly expanded to maintain the entire production load. EC2 Auto Scaling can be employed to automate this process. You might require some application logic to identify the failure of the primary database services and cut over to the parallel database services operating in AWS.The expense of this scenario is defined by the production traffic, which is handled by AWS in regular operation. In the recovery phase, you need to only pay for what you use in addition and for the duration that the Disaster Recovery environment is utilized at full scale. You can considerably reduce costs by purchasing Reserved Instances for “always on” AWS servers.Preparation Phase:Here are some key points for preparation:Setting up AWS environment to replicate the production environment.Setting up DNS weighting or related technology to distribute incoming requests to both sites.Figure 7: The preparation phase of the “Multi-Site”.Source – Disaster Recovery OverviewRecovery Phase:Some key points for recovery in Multi-site solution:Modify the DNS weighting, so that all requests are transferred to the AWS site.Have application logic for failover to make use of the local AWS database servers.Consider employing Auto scaling to automatically right-size the AWS fleet.You can also further enhance the availability of the multi-site solution by devising Multi-AZ architectures.Figure 8: The recovery phase of the “multi-site” involving on-site and AWS infrastructure.Source – Disaster Recovery OverviewConclusionSeveral possibilities and variations for DR do exist, and this article highlights some of the most popular patterns, ranging from simple backup and restore to fault-tolerant multi-site solutions. AWS offers a fine-grained control and several building blocks to develop the fitting DR solution, given your DR goals (RTO and RPO) and budget. In addition, the AWS services are available on-demand, where you pay only for what you use. This is a crucial advantage for DR, where significant infrastructure is required instantly, but only in case of a disaster. This article has shown how AWS offers flexible, cost-effective infrastructure solutions, allowing you to have a more effective DR plan in place.

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