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Below you'll find a list of all posts that have been tagged as "ci/cd"
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5 key ingredients of Microservices Architecture (MSA) you should not ignore

At the helm of Information Technology is the innovation of cutting-edge practices that optimize the complete software delivery lifecycle. One such outcome of this innovative mindset is Microservices Architecture (MSA). Microservices comes from the family of Cloud-Native that aims to change the implementation of backend services radically. In no time, Microservices has emerged as a digital disruptor and a differentiator to stay ahead of the competition. Per statistics, Microservices reduced the overall development time by a whopping 75 percent. What drive-through did to the food industry, Microservices are doing to Software Industry The invention of a drive-through in America revolutionized the culture of fast food. People were served food on the go, real-fast and hot. The idea was such a hit that other businesses jumped on the bandwagon. Drive-through established itself as the ultimate fast-track platform for delivering products/services efficiently. Just like a drive-through, Microservices are enabling the pinnacle of efficiency in software development. The main aim of Microservices is to shy away from the monolithic application delivery. It breaks down your application components into standalone services (Microservices). These services then must undergo development, testing, and deployment in different environments. The services’ numbers can be in 100s or 1000s. Additionally, teams can use various tools for each service. The resultant will be mammoth tasks coupled with an exponential burden on the operations. The process complexities and time-battle will also be a nightmare. Companies such as Netflix and Amazon have lauded the benefits of Microservices. It instills application scalability and drives product release speed. Companies also leverage Microservices to stay nimble and boost their product features. Microservices function effortlessly when a few key ingredients from a part of its architecture. Let’s study them. 1. Continuous Integration and Continuous Deployment (CI/CD) From a release standpoint, Microservices needs to ensure a continuous loop of software development, testing, and release. Therefore, when you look at Microservices and its practical implementation, you cannot ignore CICD. Establishing a CICD pipeline through Infrastructure as Code (IaC) minimal operational hurdles and deliver a better user experience in the application management. 2. API Gateway for request handling Microservices leverage different communication protocols for internal use. The API Gateway will route HTTP requests via reverse proxy towards endpoints of internal Microservices. The API gateway works as the single URL source for application to map their request internally to the Microservices. An API’s key functions are Authentication, Authorization, Logging, and Proxying. With an API gateway, it becomes easy to invoke these functionalities at desired efficiency. API gateway also helps Microservices to retrieve data from multiple services in one-go, thereby improving overhead and overall user experience. 3. Toolchain for automation CICD and Microservices work hand in glove. Your Microservices architecture needs a set of the toolchain that powers automation to ensure the CICD pipeline is well oiled for uninterrupted performance. These tools span build environment, testing, and regression, deployment, image registry, and platform. 4. Configuration component to save time The idea is to avoid restructuring while running multiple configurations in Microservices. There are multiple configurations used in different services. These include formats, date, time, etc. With rising service requests managing these configurations becomes treacherous. Further, these configurations mustn’t be held static, rather they should run dynamically to suit multiple environments. Also, storing such configuration in source code will affect the API. Therefore, it is essential to use a component for managing configuration. 5. Infrastructure Scalability and Monitoring Microservices involves multiple deployments of APIs across the IT infrastructure. This means it is essential that infrastructure provisioning is in the auto-pilot mode to ensure APIs run independently. Therefore, it is viable to have a robust infrastructure that can scale on demand while maintaining performance and efficiency. Infrastructure monitoring is a key aspect of Microservices, which is also a distributed architecture. Distributed tracing becomes critical to ensure efficient tracking of multiple services at different endpoints allowing complete visibility. What do we infer Microservices is slated for widespread adoption without a doubt. As cloud-native technologies gain traction, Microservices would increasingly become a necessity. By 2025, we should expect 90 percent of the applications depending on Microservices architecture. Before any organization thinks of reaping the benefit of Microservices for scalability, they must remember one thumb rule – the real potential is hidden in its building blocks discussed above. These blocks ensure that one gets a robust Microservices architecture to enable continuous software delivery and upgrade practices.

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5 Ways How DevOps Becomes a Dealmaker in Digital Transformation

The culture of DevOps-ism is a triumph for companies. DevOps has plundered the inefficiencies of the traditional model of software product release. But, there is a key to it. Companies must unlock the true DevOps tenacity by wiring it with its primary stakeholders – People and Process. A recent survey shows that most teams don’t have a flair for DevOps implementation. Another study reveals that around 78 percent of the organizations fail to implement DevOps. So, what makes the difference? Companies must underline and acclimatize the cultural shift, which erupts with DevOps. This culture is predominantly driven by automation to empower resilience, reduce costs and accelerate innovation. The atoms that make up the cultural ecosystem are people and processes. Funny story, most companies that dream of being digital savvy, still carry primitive mind-sets. Some companies have recognized this change. The question remains – are they adept at pulling things together? Are You in the Pre-DevOps Era, Still? It is archaic! Collaboration and innovation, for the most part, is theoretical. The technological proliferation coupled with cut-throat competition has put your company in a hotspot. You feel crippled embracing the disruptive wave of the digital renaissance. Also, you feel threatened by a maverick Independent Software Vendor – who is new to the software sector. If the factors above seem, relevant, it is time to move away from the legacy approach. The idea is simple – streamline and automate your software production – across the enterprise. It is similar to creating assembly lines, which operates parallel, continuous and in real-time. If you consider manufacturing, this concept is more than 150 years old. In software space, we have just realized the noble idea. Where it all started….. The IT industry experienced a radical change due to rapid consumerization and technological disruption. This created a need for companies to be more agile, intuitive and transparent in their service offerings. The digital transformation initiatives are continually pushing the boundaries to deliver convergent experiences that are insightful, social and informative. Further, the millennials who form more than 50 percent part of the overall IT decision makers globally are non-receptive to inefficient technologies and slow processes. They want their employees to work in an innovative business environment with augmented collaboration and intelligent operations. It is essential for the organization to follow an integrated approach for driving digital transformation, integrating cross-functionalities and enabling IT agility. DevOps enables enterprises to design, create, deploy and manage applications with new age software delivery principles. It also helps in creating unmatched competencies for delivering high-quality applications faster and easier; while accelerating innovation. With DevOps, organizations can divide silos facilitating collaboration, communication, and automation with better quality and reduced risk and cost. Below are the five key DevOps factors to implement for improving efficiency and accelerating innovation. 1. Automating Continuous Integration/Continuous Delivery DevOps is not confined to your departments. Nor it is just a deployment of some five-star tools. DevOps is a journey to transform your organization. It is essential to implement and assess a DevOps strategy to realize the dream of software automation. Breaking the silos, connecting isolated teams and wielding a robust interface can become taskmasters. This gets more tedious for larger companies. The initial focus must remain on integrating people in this DevOps model. The idea is to neutralize resistance, infuse confidence, and empower collaboration. Once these ideas become a reality, automation will become the protagonist. The question remains – How automation will be the game changer? This brings the lens on Continuous Integration/ Continuous Delivery (CI/CD). It works as a catalyst in channelizing automation throughout your organization. Historically, software development and delivery have been teeth-grinding. Even the traditional DevOps entails a manual cycle of writing codes, conducting tests, and deploying codes. This brings several pitfalls – multiple touchpoints, non-singular monitoring, increased dependencies on various tools, etc. How to Automate the CI/CD Pipeline? Select an automation server that provides numerous tools and interfaces for automation Select a version control and software development platform to commit codes Pull the codes in the build phase via automation server Compile codes in the build phase for various tasks Execute a series of tests for the compiled codes Release the codes in the staging environment Deploy the codes from the staging server via Docker An automated CI/CD pipeline will mitigate caveats associated with the traditional DevOps. It will result in a single, centralized view of project status, across stages. It drastically brings down the human intervention, moving you towards zero errors. But, is that all simple? Definitely no. It has its own set of challenges. Companies that are maneuvering from waterfall to DevOps, often end up automating wrong processes. How can teams avoid this? Well, have the following checklist handy. The frequency of process/workflow repetitions The time duration of the process Dependencies on people, tools, and technologies Delays resulting due to dependencies Errors in processes, if it is not automated These checklists will provide insights on the bottlenecks. It will help prioritize and automate critical tasks – starting from code compiling, testing to deployment. 2. The Holy Nexus of Cloud and DevOps You don’t buy a superbike to drive it in city traffics. You would prefer wide roads, less traffic to unleash its true speed. Then why do Cloud without DevOps? The combination of Cloud and DevOps is magical. Often, IT managers don’t realize it. Becoming a Cloud first company is not possible without a DevOps first approach. It is a case of the sum being more significant than parts. What is the point of implementing DevOps correctly, when the deployment platform is inefficient? Similarly, a scalable deployment platform loses its charm without fast and continuous software development. Cloud creates a single ecosystem, which provides DevOps with its natural playground. The centralized platform offered by Cloud enables continuous production, testing, and deployment. Most Cloud platforms come with DevOps capabilities of Continuous Integration and Continuous Delivery. This reduces the cost of DevOps in an On-Premise environment. Consider the case of Equifax – a consumer credit reporting company. They store their data on cloud and in-house data centers. In 2018, they released a document on the cyber-attack, which hit them in Sep 2017. Hackers collected around 2.4 million personally identifiable information (PII) of their customers. The company had to announce that they will provide credit file monitoring services to affected customers at no cost. Isn’t it damaging – monetarily and morally? But, what made hackers get access to such sensitive customer information? Well, per the website, there was a vulnerability Apache Struts CVE-2017-5638 to steal the data. Although the company patched this vulnerability in March 2017, it required more profound expertise and smarter process regime. If they had a DevOps strategy to redeploy software with continuous penetration testing more frequently, a cyber-attack could have averted. It is a genuine concern for any CIO to derive the value of cost, agility, security, and automation from their Cloud investment. The most common hurdle to this is the less compatible IT process. There other significant challenges too. Per a recent survey by RightScale, around 58 percent of Cloud users think saving cost is their top priority. Approximately 73 percent of the respondents believe that lack of skill expertise is a significant challenge. More than 70 percent of respondent said that governance and quality is an issue. The report also outlines integration as a challenge when moving from a legacy application to the Cloud. DevOps can standardize the processes and set the right course to leverage Cloud. DevOps in the backend and Cloud in the frontend gives a competitive edge. Cloud works well when your Infrastructure as Code (IaC) is successful. IT teams must write the right scripts and configure it in the application. Manually writing infrastructure scripts can be daunting. DevOps can automate scripts for aligning IT processes to Cloud. 3. Microservices – The Modern Architecture Microservices Without DevOps? Think Again! The sea-changes in consumer preferences have altered companies’ approach to delivering applications. Consumers want results in real-time, unique to their needs. Perhaps, this is why companies such as Netflix and Amazon have lauded the benefits of Microservices. It instills application scalability and drives product release speed. Companies also leverage Microservices to stay nimble and boost their product features. The main aim of Microservices is to shy away from the monolithic application delivery. It breaks down your application components into standalone services (Microservices). These services then must undergo development, testing, and deployment in different environments. The services’ numbers can be in 100s or 1000s. Additionally, teams can use various tools for each service. The resultant will be mammoth tasks coupled with an exponential burden on the operations. The process complexities and time-battle will also be a nightmare. Leveraging Microservices with a waterfall approach will not extract its real benefits. You must de-couple the silo approach to incubate the gems of DevOps – People>Process>Automation. Microservices without DevOps would severely jolt teams productivity. The Quality Assurance teams would experience neck-breaking pressure due to untested codes. They will become bottlenecks, hampering the process efficiencies. DevOps with its capability to trigger continuity will stitch every workflow through automation. 4. Containers –Without DevOps? Consider companies of the size and nature of Netflix that require to update data in real-time and on an on-going basis. They must keep their customers updated with new features and capabilities. This isn’t feasible without Cloud. And, on top of that, releasing multiple changes daily, will be dreadful. Thereby, for smooth product operations, Container Architecture is a must. In such a case, they must daily update their Container Services – multiple times. It entails website maintenance, releasing new services (in different locations) and responding to security threats. Even if you are a small to medium Independent Software Vendor operating in the upper echelons of the technology world, your software product requires a daily upbeat. Your developers will always be on their toes for daily security and patching updates. This a daunting task, isn’t it? DevOps is the savior. DevOps will hold back for your applications that are built in the Cloud. It will set a continuous course of monitoring through automation and ease the pressure of monitoring from developers. Without DevOps, Container Architecture won’t sustain the pressure. 5. Marrying DevOps, Lean IT, and Agile The right mix of DevOps, Lean and Agile amplifies business performance. Agile emphasizes greater collaboration for developing software. Lean focuses on eliminating wastes. DevOps wants to align software development with software delivery. The three work as positives; adding them will only augment the outcome. However, there persists a contradiction in perception towards adopting these three principles. When Agile took strides, the teams said that we already do Lean IT. When DevOps took strides, the teams said that we already do Agile. But, the three principles strive to achieve similar things in different areas of the software lifecycle. Combining DevOps, Lean and Agile can be an uphill task. Especially, for leaders that carry the traditional mindset. Organizations must revive their leadership style to align with modern business practices. The aim must be moving towards a collaborative environment for delivering value to the customers. Companies must focus on implementing a modern communication strategy at the workplace. It is necessary that they address the gaps between IT and the rest of the groups within an organization. They must be proactive in initiating mindful cross-functional relationships, backed by streamlined communications. The software development teams will then work as protagonists in embracing DevOps, Lean and Agile to survive the onslaught of competition. It is also essential to champion each of the above concept. This will ensure that we profit out of each component in the combination. Organizational leadership must relentlessly work to create a seamless workflow, while removing bottlenecks, cutting delays, and eliminating reworks. Companies haven’t yet fathomed the true benefits of DevOps-Agile-Lean combination. It needs time and the team of experts to capitalize on these three principles. Additionally, companies shy away from exploiting the agility and responsiveness of modern delivery architects – Microservices, in particular. This becomes a hindrance in reaping the full potential of the combination. The crux of driving DevOps-Agile-Lean combination is a business-driven approach. Continual feedback backed by the right analytics also plays a crucial role. It facilitates fail-fast, thereby, creating a loop of continuous improvement. Agile offers a robust platform to design software, which is tuned with the market demands. DevOps stitches the process, people and technology, ensuring efficient software delivery. Final Thoughts Adopting DevOps is a promising move. Above, we have depicted in 5 manners how DevOps is your digital transformation dealmaker. However, it can be nerve crunching. It takes patience, expertise, and experience for embodying its purest form. A half-baked DevOps strategy might give you a few immediate results. In the long run, it will deride your teams’ efforts. However, automation is the best way to sail through it.

Aziro Marketing

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Making DevOps Sensible with Assembly Lines

DevOps heralded an era of cutting edge practices in software development and delivery via Continuous Integration (CI) Pipelines. CI made DevOps an epitome of software development and automation, entailing the finest agile methodologies. But, the need for quicker development, testing, and deployment is a never-ending process. This need is pushing back the CI and creating a space for a sharper automation practice, which runs beyond the usual bits and pieces automation. This concept is known as DevOps Assembly Lines.Borrowing inspiration from Automobile IndustryThe concept of assembly lines was first started at Ford Plant in the early 20th century – the idea improved continuously and today is powered via automation. Initially, the parts of the automobiles were manufactured and assembled manually. This was followed by automation in manufacturing, while the assembly was manual. So, there were gaps to be addressed for efficiency, workflow optimization, and speed. The gaps were addressed by automating the assembly of parts. Something similar is happening in the SDLC via DevOps Assembly Lines.Organizations that implement advanced practices of DevOps follow a standardized and methodological process throughout the teams. As a result, these organization experiences fast-flowing CI pipelines, rapid delivery, and top quality.A silo approach that blurs transparencyFollowing the DevOps scheme empowers employees to deliver their tasks efficiently and contribute to the desired output of their team. Many such teams within a software development process are leveraging automation principles. The only concern is that this teamwork is in silos hindering overall visibility into other teams’ productivity, performance, and quality. Therefore, the end product falls shorts of desired expectations – often leaving teams perplexed and demotivated. This difference in DevOps maturity within different teams in a software development environment calls for a uniform Assembly Line.Assembly Lines – triggering de-silo of fragmented teamsCI pipelines consist of a host of automated activities that are relevant to individual stages in the software lifecycle. Which means there are a number of CI pipelines operating simultaneously; but, it is fragmented within SDLC. Assembly Lines is an automated conflation of such CI pipelines towards accelerating a software product’s development and deployment time. DevOps Assembly Line automates activities like continuous integration in the production environment, configuration management and server patching for infrastructure managers, reusable automation scripts in the testing environment, and code as monitoring scripts for security purposes.Bridging the gap between workflows, tools and platformsDevOps Assembly Lines creates a perfect bridge, finely binding standalone workflows, and automated tools and platforms. This way, it establishes a smoothly integrated chain of deployment pipeline optimized for the efficient delivery of software products. The good part is it creates an island of connected and automated tools and platforms; these platforms belong to different vendors and are that gel together easily. Assembly Lines eliminates the gap between manual and automated tasks. It brings QAs, developers, operations teams, SecOps, release management teams, etc. on a single plane to enable a streamlined and uni-directional strategy for product delivery.Managed platform as a service approach for managementDevOps Assembly Lines exhibits an interconnected web of multiple CI pipelines, which entail numerous automated workflows. This makes the management of Assembly Lines a bit tricky. Therefore, Organizations can leverage a managed services portal that streamlines all the activities across the DevOps Assembly Lines.Installing a DevOps platform will centralize the activities of Assembly Lines and streamline a host of workflows. It will offer a unified experience to multiple DevOps teams and also help operate a low cost and fast-paced Assembly Lines. A DevOps platform would also entail different tools from multiple vendors that could work in tandem.The whole idea behind installing Assembly Lines is to establish a collaborative auto-mode within diverse activities of SDLC. A centralized, on-demand platform could help get started with pre-integrated tools, that could manage automated deployment.A team of operators, either in-house or via a support partner, could handle this platform. This way, there will be smooth functioning across groups, and on-demand requests for any issues that could be addressed immediately. The platform will invariably help DevOps architects to concentrate on productive parts – while maintenance is taken care of behind the scenes. Further, it would allow teams to look beyond their core activities (a key goal of Assembly Lines) and absorb the status of overall team productivity. The transparency will give them an idea of existing hindrances, performances, productivity, and expected quality. In accordance, they could take corrective measures.Future AheadCI pipelines are helpful for rapid product development and deployment. But, considering the graph of rising expectation in quality and feature enablement and considering the time-to-market requirement, the CI pipelines do not fit the bill. Further, the issue of configuration management is too complicated for CI pipelines to handle. Therefore, the next logical step is to embrace DevOps Assembly Lines. And the importance of a centralized management platform to drive consistency, scalability, and transparency via Assembly Lines should not be undermined.

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How to Secure CI/CD Pipelines with these 5 Key DevSecOps Practice

While we understand the importance of ‘Continuous Everything’ and stress on CI/CD pipelines, we must also pay heed to its safety requirements. There are hidden security vulnerabilities in our codes that often hamper the operations and testing lifecycle phase. And on top it, vulnerabilities, which we import with third-party libraries via OSS – open-source software could make things worse. While we are building CI/CD pipelines, coders are working on plethora of codes. These codes need a thorough checking mechanism. Checking all the codes manually is a task impossible. Thus, we have DevSecOps. Continuous Everything and DevSecOps work in tandem. For the environment to have continuity, there mustn’t be any kind of threat. Because if there is, it will make the Continuous Everything to crumble down. The process of following Continuous Everything culminates into continuous delivery pipelines. These pipelines help in vetting daily committed codes. Therefore, it makes sense to patch security checks within these pipelines and run them automatically. This way any unseen vulnerabilities will be nipped in the bud. Let’s see the five key DevSecOps steps to ensure security in CI/CD pipelines. 1. Pre Source Code Commitment Analysis The DevSecOps team must check the codes thoroughly before submitting it to the source code repository. The DevSecOps team can leverage SAST – (Static Analysis Security Testing) tools for analyzing the codes. Therefore, the team can detect any kind of mismatch in coding best practices and prevent the import of third-party libraries, which are insecure. After the check, the team can fix recurring security issues before it goes to source code. This way, manual tasks can be easily automated, and productivity can be boosted. However, the DevSecOps team must ensure that the SAST tool works well with the programming language. Lack of compatibility between the two could hamper overall productivity. 2. Source Code Commitment Analysis These checks apply to any changes a coder executes in the source code repository. It is generally an automated security test to give a quick idea of changes required. Therefore, implementing a source code commitment analysis could help to create processes, which are strategically defined to ensure security checks. Further, it also assists the DevSecOps teams in debugging issues that might create unnecessary risks in the projects. Here too, you can use the SAST tool by applying certain rules, which suit your application. Also, you could identify top vulnerabilities for your applications and run checks for them automatically. These can be either XSS scripting or SQL injection. Developers also can perform extended unit testing. The unit test use cases can differ according to the application and its features. Lastly, coders must gauge results from the automated test and make necessary changes in their coding styles. 3. Advanced Security Test – Post Source Commitment Analysis On completion of the aforementioned steps, the DevSecOps team must ensure an advanced check, which is triggered automatically. This is a necessary step, in case the unit test fails, and/or the SAST test isn’t helping, there is an issue of programming language compatibility. Vulnerabilities are then detected and if a threat of grave nature is found, it needs to be resolved. The automated post source commitment analysis would typically include open source threat detection, risk-detection security tests, PGP-signed releases, and using repositories to store artifacts. 4. Staging Environment Code Analysis The staging environment is the last stage before an application is moved to production. Therefore, the security analysis of every ‘build’ from the repository becomes essential. Here, apart from SAST, the security team must also execute DAST, performance, and integration checks. The advanced rules set in SAST and DAST must be aligned to the OWASP checklist. DAST would assist security teams in testing sub-components of applications for vulnerabilities and then deploying it. Moreover, an application, which is in the operational state, can be likewise examined. This also means that DAST scanners are independent of programming languages. The test of third-party and open source components including logging, web frameworks, XML data, or parsing json is also significant. Any vulnerabilities here must be properly addressed before moving to the production stage. Pre-Production Environment Code Analysis In this step, the DevSecOps team must ensure that an application deployed to a production stage has zero errors. This is done post-deployment. An optimal way to conduct this check is by triggering continuous checks automatically once the aforementioned steps are complete. DevSecOps team can identify vulnerabilities, which possibly went unnoticed in the previous steps. Further, continuous security checks would offer real-time insight into the application performance and fathom users with unauthorized access. Conclusion The growth of DevOps as a culture and implementation of CI/CD, as a result, would ultimately create tighter security requirements. Any kind of vulnerability and its impact increases from coding, testing, deployment to the production stage. Therefore, it is important to make security an important part of DevOps, right from the start. Additionally, it is crucial to break the silo approach, and embrace DevSecOps. Security teams that implement DevSecOps in a methodological process as listed below, make it easier to integrate processes and bring consistency in the cybersecurity. a. Pre Source Code Commitment Analysis b. Source Code Commitment Analysis c. Advanced Security Test – Post Source Commitment Analysis d. Staging Environment Code Analysis e. Pre-Production Environment Code Analysis

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