Top DevOps trends that will lead the future

Top future devops trends

DevOps comes from the compound word development and operations that came together to form a technology that increases an organization’s ability to deliver applications and services faster. Software development comprises two departments: the development team and the operation team. The development team develops the plan, designs and builds the system from the beginning and the operation team tests and implements whatever is developed by the development team.

The operation team gives the development feedback on any bugs that need to be fixed and any rework required. Invariably, the development team would be idle, waiting for feedback from the operation team. Undoubtedly, this extends the timeline and delays the entire software cycle. There would be instances where the development team moves on to the next project; meanwhile, the operation team continues to give feedback for the previous code. That means it will take weeks or even months for the project to be closed and the final code to be developed.

Now, what if these two departments work in collaboration with each other?

What will happen if we break this wall of confusion?

Exactly; DevOps does the same, and this approach is called the DevOps approach. The DevOps represent an infinity sign that suggests a continuous process of improving efficiency and constant activity. The DevOps approach makes companies transform faster to updates and development changes. That means the teams can now deliver quickly, and deployments are more consistent and smooth. There may be communication challenges, but DevOps manages a streamlined flow between the teams and makes the software development process successful.

In this blog, you will know briefly about DevOps and the top DevOps trends that will lead the future.

Before moving to trends of DevOps, let us know about the DevOps Cycle.

The DevOps culture implements in several phases with the help of several tools. The first phase is the planning phase, where the development team puts down a plan; keeping in mind the application objectives that need to be delivered to the client. Once the plan is ready, the coding begins. The development team works on similar code, and different versions of the code are stored in a repository. With the help of tools like Git, codes get merged when required; this process is called version control. The code is then made executable with tools like Maven and Gradle in the built stage.

After the code is built successfully, it is tested for any bugs or errors. Selenium is one of the most popular tools for automation testing. Once the code gets passed, it becomes ready for deployment and is sent to the operation team. Now the operation team deploys the code to the working environment. The most prominent tools used to automate these phases are Kubernetes, Docker and Ansible. After the deployment, the product is perpetually monitored. Nagios is one of the top tools used to automate this phase. The feedback received after this phase is sent to the planning phase again; this forms the core of the DevOps life cycle. Jenkins is the tool that sends the code for building and testing. If the code gets passed in the test, it is sent for deployment; this is referred to as continuous integration.

Top DevOps trends that will lead the future:


DevOps consider automation as one of the core strategies to help businesses become more efficient, responsive and transparent to their clients. It becomes critical for developers working on DevOps to maintain a high level of technical expertise and multitasking skills when it comes to continuous evolution, where each phase defines specific new updates. To avoid all this DevOps, adopt automation. To make the cycle more effective, teams will integrate Artificial Intelligence and Machine Learning along with automation of the entire process. The reason behind including Machine Learning is to help enterprises understand problems like blockage or capacity issues. This information can be used to alleviate the issue whenever they arise. Along with the integration of Artificial Intelligence will enable the DevOps process to foresight problems and provide a potential solution. Developers endeavour to automate the most time-consuming task to keep themself focused on innovations. To keep up with the increasing demands of the future, all aspects of DevOps must be adaptable.

Serverless Architecture:

The concept of serverless computing has changed the paradigm of server-based computing. While automating software development, DevOps includes the complete software lifecycle, from development to deployment, testing, and maintenance in a single place. Serverless computing is now helping developers to focus on application logic without getting worried about any servers. Serverless computing has reduced the workload of developers as there are no servers to maintain, no operating system to take care of, no software to manage and no hardware to upgrade. It benefits DevOps by bringing the Development and Op teams together and eliminating their discrepancies. DevOps is the pulse that makes Serverless Computing possible to deploy applications to build in high availability and fault tolerance: this means faster time to market. Now developers don’t have to access infrastructure execution as they are linked to cloud servers. It generates code for DevOps pipelines without the need for a host to build, test, and deploy. Thus Serverless Computing rationalizes deployments and reduces costs by centralizing infrastructure and business plans.

Low Code Platforms:

Adopting a low-code approach to DevOps speeds up the entire development and deployment process by creating simple and user-friendly apps. Low-code platforms allow non-technical people to contribute to software development through a visual interface that manages the entire development process. They can build their workflows and logic by drag and drop features. Non-technical people can also help with the important DevOps practices such as version control, build validation, and QA. Having a single low code platform helps DevOps teams to work faster and reduce overall complexity. The combination of a low-code approach and DevOps makes the development and deployment faster.


Security is one of the most overlooked aspects of any company. Unfortunately, maximum companies neglect it by keeping it on non-top priorities. According to reports, In the maximum number of companies, there is only one security engineer for 100 developers. As companies adopt Kubernetes, serverless infrastructures, and other cloud technologies, cloud security will get more critical. Keeping that in mind, DevSecOps was introduced. DevSecOps is a fusion of security and compliance testing in the software development process. It integrates best practices in software development, delivery, and operations with an emphasis on security and observability. So security is not an after-thought, but one that has been ingrained right from day one. DevSecOps supports the early detection of cyber risks and the reduction of costs associated with their aggravation.


Kubernetes allows the developers to easily share different software and applications that are associated with the operations team. It guarantees continuous delivery while keeping the development agile. It has changed the way applications are developed and deployed. Kubernetes aims to combat hindrance and bring collaboration and effectiveness between the teams. It has changed the way applications are developed and deployed. Along with that, Kubernetes provides ease to the test/ build/ deploy pipelines in DevOps.

Chaos Engineering:

The involvement of Chaos Engineering in DevOps has become one of the prime considerations in the DevOps planning discussions. You must have faced this situation when you open an app late at night and it crashed because it couldn’t handle a connection or load. The idea of Chaos Engineering is to prevent this situation by detecting security holes/vulnerabilities and helping predict when a system crash might occur.

Infrastructure as Code (IaC):

The inclusion of Infrastructure as Code (IaC) goes far beyond DevOps automation. Instead of using configuration tools, Infrastructure as Code automates resource management and provisioning by using code. The benefit of this approach is that it allows for standardization of infrastructure and rapid implementation. It empowers teams to build robust, consistent systems that can be easily replicated and deployed across development, testing, and production environments. DevOps teams may provide and control all parts of the environment using infrastructure as code. As a result, there will be rapid recovery and reduced downtime with the infrastructure as code and DevOps.

Cloud-Native infrastructure:

The trend of cloud migration has been noticed in a recent couple of years. Organizations have facilitated setting up a better cloud-centric platform to support cloud-based apps and work processes. As per the Worldwide report, there has been a double expansion in the rate of cloud migration at the end of 2021. Businesses started implementing Cloud Management Platform (CMP) on a large scale. It enables them to better manage and utilize their cloud computing resources. The advantages of CMP adoption includes improved cloud security, better resource usage, and efficient risk mitigation.

Microservices Architecture:

Microservices architecture, which is an alternative to traditional architecture, is gaining popularity in the IT industry. It breaks the data into chunks and the independent units or entities that are flexible and scalable. It enables decentralized teams to innovate faster, maintain control over their technology stack and standards, manage performance metrics, manage development and release cycles, and reduce time to market by accelerating the development and release process. Microservices even helps cloud computing by breaking down large monolithic applications into smaller, manageable units as a result it enables teams to achieve shorter software release intervals. Organizations having a well-designed approach, well-organized teams, and robust DevOps processes can build new products and modernize existing applications faster with a modern microservices architecture.


GitOps is a solution for automating and controlling infrastructure. It allows developers and IT operations teams to utilize Git to manage clusters and deliver applications. Developers can use Git pull requests to manage infrastructure and software deployment by implementing a Git workflow in operations and development teams. The Ultimate goal of GitOps is to speed up the development so that the teams are always ready to incorporate the changes and updates. Along with that, it ensures safety and security in the entire environment for making the changes.


By looking at the tremendous demand for DevOps in recent years, many organizations are adopting DevOps methodology to accelerate the software development life cycle. The introduction of DevOps has minimized the workload of the development team and operation team and delivers a level of speed, efficiency, reliability and quality in software development. These trends will help your company to become more productive by enhancing its ability to design, produce, launch, and maintain high-quality software.


If you are planning to implement these DevOps trends in your organization for better productivity, then Gloify will help you out. Our DevOps solutions will help your organization ensure high-quality, software-based solutions in a timely and dependable manner.