Tag Archive

Below you'll find a list of all posts that have been tagged as "IaaS"

Aziro (formerly MSys Technologies) 2019 Tech Predictions: Smart Storage, Cloud’s Bull Run, Ubiquitous DevOps, and Glass-Box AI

2019 brings us to the second-last leg of this decade. From the last few years, IT professionals have been propagating rhetoric. They state that the technology landscape is seeing a revolutionary change. But, most of the “REVOLUTIONARY” changes, has, over the time lost their gullibility. Thanks to the awe-inspiring technologies like AI, Robotics, and upcoming 5G networks most tech pundits consider this decade to be a game changer in the technology sector.As we make headway into 2019, the internet is bombarded with numerous tech prophecies. Aziro (formerly MSys Technologies) presents to you the 2019 tech predictions based on our Storage, Cloud, DevOps and digital transformation expertise.1. Software Defined Storage (SDS)Definitely, 2019 looks promising for Software Defined Storage. It’ll be driven by changes in Autonomous Storage, Object Storage, Self-Managed DRaaS and NVMes. But, SDS will also be required to push the envelope to acclimatize and evolve. Let’s understand why so.1.1 Autonomous Storage to Garner MomentumBacked by users’ demand, we’ll witness the growth of self-healing storage in 2019. Here, Artificial Intelligence powered by intelligent algorithms will play a pivotal role. Consequently, companies will strive to ensure uninterrupted application performance, round the clock.1.2 Self-Managed Disaster Recovery as a Service (DRaaS) will be ProminentSelf-Managed DRaaS reduces human interference and proactively recovers business-critical data. It then duplicates the data in the Cloud. This brings relief during an unforeseen event. Ultimately, it cuts costs. In 2019, this’ll strike chords with enterprises, globally, and we’ll witness DRaaS gaining prominence.1.3 The Pendulum will Swing Back to Object Storage as a Service (STaaS)Object Storage makes a perfect case for cost-effective storage. Its flat structure creates a scale-out architecture and induces Cloud compatibility. It also assigns unique Metadata and ID for each object within storage. This accelerates the data retrieval and recovery process. Thus, in 2019, we expect companies to embrace Object Storage to support their Big data needs.1.4 NMVes Adoption to Register TractionIn 2019, Software Defined Storage will accelerate the adoption rate of NVMes. It rubs off glitches associated with traditional storage to ensure smooth data migration while adopting NVMes. With SDS, enterprises need not worry about the ‘Rip and Replace’ hardware procedure. We’ll see vendors design storage platforms that append to NVMes protocol. For 2019, NMVes growth will mostly be led by FC-NVME and NVMe-oF.2. Hyperconverged Infrastructure (HCI)In 2019, HCI will remain the trump card to create a multi-layer infrastructure with centralized management. We’ll see more companies utilize HCI to deploy applications quickly. This’ll circle around a policy-based and data-centric architecture.3. Hybridconverged Infrastructure will Mark its FootprintHybridconverged Infrastructure (HCI.2) comes with all the features of its big brother – Hyperconverged Infrastructure (HCI.1). But, one extended functionality makes the latter smarter. Unlike HCI.1, it allows connecting with an external host. This’ll help HCI.2 mark its footprint in 2019.4. VirtualizationIn 2019, Virtualization’s growth will be centered around Software Defined Data Centers and Containers.4.1 ContainersContainer technology is ace in the hole to deliver promises of multi-cloud – cost efficacy, operational simplicity, and team productivity. Per IDC, 76 percent of users’ leverage containers for mission-critical applications.4.1.1 Persistent Storage will be a Key ConcernIn 2019, Containers’ users will envision a cloud-ready persistent storage platform with flash arrays. They’ll expect their storage service providers to implement synchronous mirroring, CDP – continuous data protection and auto-tiering.4.1.2 Kubernetes Explosion is ImminentThe upcoming Kubernetes version is rumored to include a pre-defined configuration template. If true, it’ll enable an easier Kubernetes deployment and use. This year, we are also expecting a higher number of Kubernetes and containers synchronization. This’ll make Kubernetes’ security a burgeoning concern. So, in 2019, we should expect stringent security protocols around Kubernetes deployment. It can be multi-step authentication or encryption at the cluster level.4.1.3 Istio to Ease Kubernetes Deployment HeadacheIstio is an open source service mesh. It addresses the Microservices’ application deployment challenges like failure recovery, load balancing, rate limiting, A/B testing, and canary testing. In 2019, companies might combine Istio and Kubernetes. This can facilitate a smooth Container orchestration, resulting in an effortless application and data migration.4.2 Software Defined Data CentersMore companies will embark on their journey to Multi-Cloud and Hybrid-Cloud. They’ll expect a seamless migration of existing applications to a heterogeneous Cloud environment. As a result, SDDC will undergo a strategic bent to accommodate the new Cloud requirements.In 2019, companies will start cobbling DevOps and SDDC. The pursuit of DevOps in SDDC will be to instigate a revamp of COBIT and ITIL practice. Frankly, without wielding DevOps, cloud-based SDDC will remain in a vacuum.5. DevOpsIn 2019, companies will implement a programmatic DevOps approach to accelerate the development and deployment of software products. Per this survey, DevOps enabled 46x code deployment. It also skyrocketed the deploy lead time by 2556x. This year, AI/ML, Automation, and FaaS will orchestrate changes to DevOps.5.1 DevOps Practice Will Experience a Spur with AI/MLIn 2019, AI/ML centric applications will experience an upsurge. Data science teams will leverage DevOps to unify complex operations across the application lifecycle. They’ll also look to automate the workflow pipeline – to rebuild, retest and redeploy, concurrently.5.2 DevOps will Add Value to Functions as a Service (FaaS)Functions as a Service aims to achieve serverless architecture. It leads to a hassle-free application development without perturbing companies to handle the monolithic REST server. It is like a panacea moment for developers.Hitherto, FaaS hasn’t achieved a full-fledged status. Although FaaS is inherently scalable, selecting wrong user cases will increase the bills. Thus, in 2019, we’ll see companies leveraging DevOps to fathom productive user cases and bring down costs drastically.5.3 Automation will be the Mainstream in DevOpsManual DevOps is time-consuming, less efficient, and error-prone. As a result, in 2019, CI/CD automation will become central in the DevOps practice. Consequently, Infrastructure as a Code to be in the driving seat.6. Cloud’s Bull Run to ContinueIn 2019, organizations will reimagine the use of Cloud. There will be a new class of ‘born-in-cloud’ start-ups, that will extract more value by intelligent Cloud operations. This will be centered around Multi-Cloud, Cloud Interoperability, and High Performance Computing. More companies will look to establish a Cloud Center of Excellence (CoE). Per RightScale survey, 57 percent of enterprises already have a Cloud Center of Excellence.6.1 Companies will Drift from “One-Cloud Approach.”In 2018, companies realized that having a ‘One-Cloud Approach’ encumbers their competitiveness. In 2019, Cloud leadership teams will bask upon the Hybrid-Cloud Architecture. Hybrid-Cloud will be the new normal within Cloud Computing in 2019.6.2 Cloud Interoperability will be a Major ConcernIn 2019, companies will start addressing the issues of interoperability by standardizing Cloud architecture. The use of the Application Programming Interface (APIs) will also accelerate. APIs will be the key to instill the capability of language neutrality, which augments system portability.6.3 High Performance Computing (HPC) will Get its Place on CloudIndustries such as Finance, Deep Learning, Semiconductors or Genomics are facing the brunt of competition. They’ll envision to deliver high-end compute-intensive applications with high performance. To entice such industries, Cloud providers will start imparting HPC capabilities in their platform. We’ll also witness large scale automation in Cloud.7. Artificial IntelligenceFor 2019 AI/ML will come out of the research and development model to be widely implemented in organizations. Customer engagements, infrastructure optimization, and Glass-Box AI, will be in the forefront.7.1 AI to Revive Customer EngagementsBusinesses (startups or enterprise) will leverage AI/ML to enable a rich end-user experience. Per Adobe, enterprises using AI will more than double in 2019. Tech and non-tech companies, alike, will strive to offer personalized services leveraging Natural Language Processing. The focus will remain to create a cognitive customer persona to generate tangible business impacts.7.2 AI for Infrastructure OptimizationIn 2019, there will a spur in the development of AI embedded monitoring tools. This’ll help companies to create a nimble infrastructure to respond to the changing workload. With such AI-driven machines, they’ll aim to cut down the infrastructure latency, infuse robustness in applications, enhance performances, and amplify outputs.7.3 Glass-Box AI will be crucial in Retail, Finance, and HealthcareThis is where Explainable AI will play its role. Glass-Box AI will create key customers’ insights with underlying methods, errors or biases. In this way, retailers don’t necessarily follow every suggestion. They can sort out responses that fit rights in that present scenario. The bottom-line will be to avoid customer altercations and bring out fairness in the process.

Aziro Marketing

AI automation Autonomous Storage Cloud Interoperability Containers devops DRaaS Embedded AI FaaS Glass-Box AI

IaaS vs. PaaS: Everything You Need To Know

PaaS and IaaS are two of the earliest and most widely used cloud computing services. They are similar in some ways, yet fundamentally different types of platforms. In simple words, IaaS is the combination of PaaS, Operating System, Middleware, and Runtime. Enterprises must understand these differences to choose the right type of cloud service for a given use case. Infrastructure-as-a-Service (IaaS) offers added control and flexibility over cloud infrastructure but is more complex to manage and optimize. In contrast, Platform-as-a-Service (PaaS) solutions offer the tools and the infrastructure required to expedite deployment. However, security, integration, and vendor lock-in are issues to look at in PaaS. This blog explains the definitions of IaaS vs. PaaS, its benefits and drawbacks, and a few examples of both IaaS and PaaS. IaaS vs. PaaS- Definitions Infrastructure as a Service (IaaS) offers on-demand access to virtualized IT infrastructure through the internet. Mostly, IaaS offerings allow access only to the core infrastructure components like compute, networking and storage. Users can install and manage the software they want to run on their cloud-based infrastructure. Platform as a service (PaaS) offers the infrastructure to host applications and also software tools to help clients build and deploy the applications. PaaS simplifies the entire setup and management of both hardware and software. Comparatively, PaaS is less flexible than IaaS and mainly caters to a narrow set of application development or deployment approaches. To be honest, they are not general-purpose replacements for an enterprise’s complete IT infrastructure and software development workflow. IaaS vs. PaaS- Benefits Infrastructure-as-a-Service solutions offer networking, storage, servers, operating systems, and other resources required to run the workloads. Infrastructure is made available by making use of the virtualization technology and can be used on a pay-as-you-go model. Benefits of IaaS solutions are: Fast scalability with the capacity to quickly provision or release computing resources as and when needed. Lowered costs, as companies pay only for the infrastructure they employ. Better usage of IT investments as there is no need for over-provisioning. Higher agility, offering enterprises the capacity to move quickly and take advantage of business opportunities. Platform-as-a-Service solutions offer cloud-based environments for developing, testing, running, and managing web-driven and cloud-driven applications. Companies get a state-of-the-art development environment without the need to buy, build or manage the underlying infrastructure. Benefits of PaaS solutions are: Rapid results with less time for coding, as PaaS solutions primarily include built-in options for pre-coded elements. More straightforward collaboration. Thanks to a development environment hosted in the cloud it is easier for distributed teams to collaborate. Better performance, with support for the entire web application lifecycle inside a single integrated environment. Lower costs due to agile development at scale. IaaS vs. PaaS- Disadvantages Disadvantages of IaaS are: The infrastructure runs legacy applications with cloud services, but these infrastructures might not be devised to secure legacy controls. Management of some internal resources required to manage business tasks Training is required more than often. Clients are responsible for business continuity, backup, and data security. Disadvantages of PaaS are: The data residing in the cloud servers is controlled by a third party. It can often be challenging to connect the services with the data stored in onsite data centers. It might not be easy to manage system migration if the vendor does not offer migration policies. Though PaaS services usually offer a wide range of customization and integration features, customization of legacy systems can become a big concern with Platform as a Service. PaaS limitations can be associated with particular services and applications as PaaS does not support all languages users want to work with. IaaS vs. PaaS- Examples Examples of IaaS are: AWS- Amazon Web Services Microsoft Azure Google Cloud Digital Ocean Alibaba Cloud Examples of PaaS are: Heroku Elastic Beanstalk from AWS Engine Yard Open Shift from RedHat Conclusion IaaS and PaaS are the most impressive emerging technologies ruling the world of cloud computing currently. Both have their own benefits and disadvantages. However, understanding the details given above can help identify which of these services will be beneficial for you to use. The choice depends on the requirements of specific workloads. To keep up with the emerging standards of modernization, enterprises must invest in cloud computing. Not only will it help in serving your customers better, but it will also help your business grow. It will remove the complexities and limitations that traditional IT infrastructures pose. Once you’ve decided that, choose whether you must opt for IaaS or PaaS, depending on how you want to run your cloud-based applications.

Aziro Marketing

cloud computing IaaS Paas

Most Common IaaS Security Issues and Ways To Mitigate Them

With today’s world of constant digitization, enterprises are continuously shifting their workload to the IaaS platform from the legacy infrastructure because of its speed and flexibility. Gartner expects IaaS to grow by nearly 13.4% to $50.4 billion by the start of 2021. However, as it is a cloud-driven concept, one cannot deny the presence of issues and security risks. The catch here is that just a single feature cannot provide complete security for the IaaS environment. It is so because the IaaS platform’s protection is a kind of shared responsibility, where customer security responsibilities involve ensuring cloud infrastructure is architected, deployed, and operated safely. The responsibilities also include maintaining the cloud security in aspects of firewalls, operating systems, data, platforms, etc. Whereas the providers have to secure the cloud in aspects like storage, global infrastructure, database, compute, etc.IaaS security issues are the most critical concerns for both users and providers alike, which need to be solved for high performance. Therefore, we present this blog to make the readers aware of the IaaS security issues. This will help in choosing a suitable solution for business data protection.Security issues in Infrastructure as a ServiceInfrastructure as a Service has some issues that must be resolved for high performance. These issues can be divided into two broader categories.Component wise security issues1. Service level agreement or SLA driven issues: SLA is the agreement between the client and the service provider concerning the quality of services and uptime guarantee. Enforcing the SLA and properly monitoring the SLA is one of the most common challenges one faces while maintaining trust between the provider and the client. The solution to this challenge is a Web Service Level Agreement (WSLA) framework, which is created to monitor and enforce the Service Oriented Architecture. WSLA maintains SLA trust by enabling third-party innovation to maintain the SLA provisions in cloud computing.2. Utility computing driven issues: Utility computing is known to be the commercial face of Grid and cluster computing, for which the users are charged per usage of services. The primary challenge involved with utility computing is its complexity; for instance, a service provider provides services to a 2nd provider, who also provides services to others. This makes it difficult to meter the services for the charges. The other challenging issue is that the whole system will become vulnerable to attackers who want to access services without paying. The answer to the first challenge is Amazon Devpay, which enables the provider at the 2nd level to meter the service usage and bill the consumer accordingly. The solution for the second challenge is that the service provider must keep the system clean from viruses and malware and keep the system risk-free. The system is also affected by the client’s practice; therefore, the client must keep the authentication keys safe.3. Cloud software-driven issues:Cloud software is the key that connects the cloud components to act as one single component. A cyber attacker has the power to attack against the XML services security protocols and attack the web services that can lead to a complete breakdown of the communication of services. The solution to mitigate these kinds of attacks is the XML signature for authentication and integrity protection. Another solution is XML Encryption that wraps the data in an encrypted manner, and that data needs to be decrypted to retrieve the original data.4. Networks driven issues: Internet connectivity and networking services play a critical role in delivering a service over the internet. There are issues in networks and internet connectivity, such as the “Man in the middle attack” – when an attacker manipulates the network connectivity by generating middle man access, from where the attacker can access all the classified permissions and data. The other type of such attack is known as the “flooding attack,” when an unauthorized user sends bulk requests to increase the chances of an attack due to those requests. The potential solutions can be like traffic encryption, which uses point-to-point protocols to encrypt the connectivity for avoiding the externals attacks. Another suitable solution can be continuous and efficient network monitoring on services to verify whether all networking parameters are running correctly or not. The externals attacks can also be avoided by implementing firewalls to protect the connectivity from outer attacks.Overall security issuesOverall security issues are judged on the basis of overall services rented by an IaaS provider. A few of these type of issues are as follows:1. Monitoring of data leakage and usage: All the data that is stored in the cloud must be kept confidential. It indicates that the providers and the clients must be aware of how the data is being accessed and ensure that only authorized users have access to the data. These issues can be solved by up-to-date data management services, which will continuously monitor the data usage and also restrict the usages as per security policies.2. Logging and reporting: Proper logging and reporting modules must be employed effectively to make the deployment of IaaS more efficient. Superior logging and reporting solutions can keep track of the whereabouts of the information, its user, the information about the machines handling it, and the storage area keeping it.3. Authorization and authentication:It is a well-known fact that just using a user name and password may not be enough for a highly secure authentication mechanism. It is the most common security measure a system has to maintain. A service provider must use multi-factor authentication to tackle this threat.Source : Security ChecklistConclusionThese are some of the risks and issues that must be resolved before deploying any service in the cloud. Superior monitoring of the resources must be done effectively to accomplish the quality of services and high performance from the providers. It is always better to enforce preventive measures before the matter goes out of hand. Industry authorities strongly recommended taking IaaS security as a serious concern. Although securing an IaaS environment is a challenge, the high level of control enables a customer to design and implement the security controls as per their requirements..filledCheckboxes input[type="checkbox"]{opacity:0;display :none;}.multiStepFormBody button.close{z-index:99;}

Aziro Marketing

cloud IaaS IaaS Security

EXPLORE ALL TAGS

Ansible Test Automation

application containerization

applications

Application Security

application testing

artificial intelligence

asynchronous replication

business intelligence

Cloud Cost Optimization

cloud devops

Cloud Infrastructure

Cloud Interoperability

Cloud Native Solution

Cloud Storage Security

Codeless Automation

Cognitive analytics

Configuration Management

container world conference

continuous-delivery

continuous deployment

continuous integration

data backup and recovery

Descriptive analytics

Descriptive analytics tools

Digital Transformation

dockercon 2019 san francisco

end-to-end-test-automation

High Performance Computing

icinga for monitoring

Image Recognition 2024

kubernetesday bangalore

Low-Code No-Code Platforms

mobile-application-testing

mobile-automation-testing

Predictive analytics tools

prescriptive analysis

Rapid Application Development

raspberry pi

RDMA

real time analytics

realtime analytics platforms

Real-time data analytics

Recovery

Recovery as a service

recovery as service

rsa

rsa 2019

rsa 2019 san francisco

Selenium Test Automation

selenium testng

serverless

Serverless Computing

Site Reliability Engineering

software defined storage

software-testing

software testing trends

software testing trends 2019

storage virtualization

support

Synchronous Replication

testing automation tools

thought leadership articles

trends

tutorials

ui automation testing

ui testing

ui testing automation

vCenter Operations Manager

vmworld 2019 san francisco

VMworld 2019 US

vROM

Web Automation Testing

web test automation

WFH

LET'S ENGINEER

Your Next Product Breakthrough

Book a Free 30-minute Meeting with our technology experts.

Aziro has been a true engineering partner in our digital transformation journey. Their AI-native approach and deep technical expertise helped us modernize our infrastructure and accelerate product delivery without compromising quality. The collaboration has been seamless, efficient, and outcome-driven.

CTO

Fortune 500 company