In a world where customer choices are changing continuously, only a handful of tech companies are achieving customer delight and beating business expectations every time! Innovative business strategies supported by a meticulous implementation of DevOps are helping these companies achieve measurable and consistent results as they develop, launch, and improve new products. DevOps solutions assist enterprises in automating the software development and testing lifecycle by standardizing and automating code migration and deployment across many environments. These solutions enable developers to implement a continuous feedback loop, allowing them to reduce response time and deliver software continuously based on customer feedback and usage behavior. In other words, enabling a one-click deployment capability where every code check-in can be pushed into production. This article will help you identify the most recent DevOps trends that will accelerate the pace of innovation, and digital transformation in 2022.
DevOps Trends 2022
1. Container Adoption Leading DevOps Strategy
One of the factors contributing to the rise of DevOps is the growing use of container technologies. Containers are lightweight, self-contained environments that make it easier to host and manage web applications. It’s made to be fast, productive, and dependable.
By 2023, Gartner expects 70% of companies to run two or more containerized applications. The use of Kubernetes and container-native services for networking, storage, and security will continue to rise. Agility and speed will be required as applications become more complex. Containers are the best way to build applications that are scalable, change quickly to add new features, and solve customer issues to gain a competitive advantage. As more apps are developed and changes occur more rapidly, DevOps will have to deal with data delays. In the cloud, customers are looking for suitable platforms that can help them resolve their issues.
2. Serverless computing can propel DevOps to new heights
The concept of serverless computing has emerged as a new and exciting approach to deploying software and other services. Serverless computing streamlines DevOps operations while also increasing architectural scalability and lowering costs. While automating software development, DevOps includes the entire software lifecycle, from development to deployment, testing, and maintenance, all in one place. Serverless computing is now helping developers in reducing their workload by taking care of server maintenance such as system updates and cloud monitoring.
By bringing the Dev and Ops teams together and eliminating their disparities, it provides enormous benefits to DevOps. Developers don’t need to access infrastructure execution because they’re linked to cloud servers. Serverless computing generates code for DevOps pipelines without the need for a host to build, test, and deploy. This streamlines deployments and reduces costs by centralizing infrastructure and business strategy.
3. The Advancement of Microservices Architecture
Microservices architecture is gaining popularity in the IT industry as an alternative to traditional architecture. DevOps practices and microservices architecture enable decentralized teams to innovate faster, maintain control over their own technology stack and standards, manage performance metrics, manage development and release cycles, and ultimately reduce time to market by accelerating the development and release process.
Microservices can help cloud computing by breaking down large monolithic applications into smaller, manageable units. This method enables teams to achieve shorter software release intervals. It is possible to build new products and modernize existing applications faster with a modern microservices architecture if you have a well-designed approach, well-organized teams, and robust DevOps processes.
4. The Rise of DevSecOps
Security is a major concern in the emerging world of being Digital. Companies are constantly being pushed to move faster, and security teams are struggling to keep up with testing. This has led to the emergence of DevSecOps. DevSecOps integrates best practices in software development, delivery, and operations with an emphasis on security and observability, so the risks and vulnerabilities in the given applications are reduced. In other words, security is not an after-thought, but one that has been ingrained right from day one.
DevSecOps helps to close the security knowledge gap between IT and business. It supports the early detection of cyber risks and the reduction of costs associated with their remediation. The DevSecOps strategy assures the security and monitoring of a system according to current DevOps trends and future possibilities.
5. The adoption of low-code apps
Adopting a low-code approach to DevOps is a game-changer for any team. The agility that low-code enables will provide almost any organization a significant competitive advantage in the fast-paced, demanding software market. Low-code platforms allow you to build apps without coding knowledge. This allows non-technical people to contribute to software development through a visual interface that manages the entire app development process. It allows users to build their own workflows and logic by dragging and dropping elements. This trend in DevOps speeds up the entire development and deployment process by creating simple and user-friendly apps.
Programming tools that automate application deployment can readily interface with low-code platforms. They can also help with the important DevOps practices such as version control, build validation, and QA. Having a single platform that can provide all of this with “no” or “low” code can help DevOps teams work faster while also reducing overall complexity. Low code means less emphasis on coding, and DevOps means effective collaboration; the combination of these two means faster development and deployment.
6. Increased adoption of GitOps
GitOps, a recent addition to the DevOps workflow, is a solution for automating and controlling infrastructure. GitOps is a Kubernetes-based paradigm that lets developers and IT operations teams utilize Git to manage clusters and deliver applications. By implementing a Git workflow in operations and development teams, developers can use Git pull requests to manage infrastructure and software deployment.
To manage cloud-native and clustered apps with CI/CD, GitOps employs traditional development tools. It automates cloud-native application deployment, monitoring, and maintenance using Git as a single source of truth.
GitOps is one of the ways to implement and manage Kubernetes clusters. By releasing incremental updates, continuous delivery enables development teams to build, test, and deploy software more quickly. It is essential that a Kubernetes continuous integration and runtime pipeline be capable of reading and writing files to Git, updating container repositories, and loading containers. Version control for configuration changes, as well as real-time monitoring and alerting are all possible with GitOps, allowing the business to better manage infrastructure.
7. Growing Demand for Infrastructure as Code
Infrastructure as Code (IaC) goes far beyond DevOps automation. Infrastructure as Code automates resource management and provisioning by using code, instead of using configuration tools. As environments become more complex, managing infrastructure becomes more difficult and susceptible to human error. A key benefit of the IaC approach is that it allows for standardization of infrastructure and rapid implementation.
It allows teams to build robust, consistent systems that can be easily duplicated and deployed across development, testing, and production environments. DevOps teams may provide and control all parts of the environment, including VMs, operating systems, containers, application configuration, storage, networking, and connections between multiple components, using infrastructure as code.
Infrastructure as Code (IaC) key benefits include easy cloud-native deployment, progressively transitory architecture, traceability, consistency in delivering similar configurations, and increased productivity across the whole software development cycle.
8. DevOps Practices Using Artificial Intelligence and Machine Learning
Optimizing DevOps processes is essential to keeping pace with changing workloads and environments. AI and Machine Learning can help DevOps teams enhance their performance by improving feedback loops and managing alerts. Developers can also benefit from AI and ML by reviewing prior application performance in terms of operational metrics performance, recognizing and analyzing patterns, sentiment analysis, building success, and test completion.
As the market evolves, advanced analytical methods, such as predictive analytics will become increasingly important. Forecasting necessitates an organization’s ability to forecast future DevOps trends, behavior, and actions. In DevOps, the usage of AI, deep learning, data mining, statistics, and modelling may become the norm. As a result, the DevOps process incorporating AI and ML may soon become an integral component of your workflow.
Automation is now at the core of DevOps strategies that help businesses become more efficient, responsive, and transparent to their customers. All aspects of DevOps and QA must be adaptable if they are to keep up with the ever-increasing demands of the future. When it comes to continuous evolution, each phase defines specific new updates. It's critical for developers working on DevOps and QA to maintain a high level of technical expertise and multitasking skills. The only way to avoid all of this is to adopt and accelerate automation.
Developers strive to automate the most time-consuming tasks so that they can devote their attention to value generating activities i.e. focus on innovations. You can prioritize difficult tasks while automating time-consuming ones by using automation testing solutions. Manual testing services could never meet the demand for efficiency and speed in today’s fast-changing digital industry. As cloud technology advances, automation technology has a lot of scope in the future.
10. Cloud-Native infrastructure
Many organizations have paved the way to set up a better cloud-centric platform to support cloud-based apps and work processes. Businesses should implement the Cloud Management Platform (CMP) as quickly as possible on a large scale. Adopting and changing CMP for DevOps allows businesses to have a stronger foothold in their cloud operations. This would enable them to better manage and utilize their cloud computing resources. Improved cloud security, better resource usage, and efficient risk mitigation are all advantages of CMP adoption.
Leveraging These DevOps Trends
DevOps has evolved tremendously in recent years and will continue to grow. It is rapidly moving beyond automation, and powering the emerging DevOps trends such as GitOps, Site Reliability Engineering with a clear focus on continuously improving the end-results for the users. The key to DevOps transformation is an understanding that it is a never-ending process. It’s a step towards a more consistent and reliable release pipeline, as well as automation and improved communication between the development, IT, and business teams. These DevOps trends will help your company enhance its ability to design, produce, launch, and maintain high-quality software.
By automating the end-to-end delivery pipeline and providing extensive DevOps tools to support continuous development and integration across various cloud platforms, Qentelli enables speedy application onboarding. Our DevOps solutions will help you align your organization’s goals in order to ensure high-quality, software-based solutions in a timely and dependable manner. If you’re interested in implementing these DevOps trends to improve the speed, agility, and competitiveness of your organization, or need any suggestions, you can reach out to our DevOps Consultants at email@example.com