Traditionally, an organization in the technology industry had two independent departments to carry out different responsibilities regarding a product. The development department was filled with software developers and engineers, and the operations department consisted of IT operations executives and managers.
While this might look like the ideal way to distribute tasks and focus on project completion, many crucial details got lost in translation. So with the introduction of the DevOps methodology, two departments were combined into a single department for development and operations.
DevOps is rapidly gaining popularity in 2022 and constantly introducing new trends in the field. Let’s check out the trends that will change the DevOps future.
DevOps trends in 2022 that will carry into 2023
Now that 2022 has almost ended, we can safely say that there are plenty of DevOps trends we saw this year that are here to stay. DevOps has a great future ahead, and anyone who wants to have a career in DevOps must be aware of these trends.
Doing a DevOps online course will help you understand these trends and upskill yourself in the right direction.
Microservices architecture
The next big thing in the IT industry is Microservices Architecture. The basic idea of microservices is that if any huge application is broken down into smaller chunks, it all becomes manageable.
This ensures that every little part of the application stays focused and that the development, testing, and deployment process is streamlined to improve productivity and quality.
Another advantage of microservices architecture is that the entire production and delivery process becomes faster, resulting in improved customer service.
Dependency mapping
Customer service being at the forefront of the DevOps methodology, it is essential to understand areas of dependency in a work chain. If there is even one link that changes or breaks, the entire system should not collapse.
With dependency mapping, teams can have a clear view of the areas that are interconnected with each other. Working around those in an agile environment will become a necessary skill.
Mapping out dependencies helps handle quick change most efficiently so that the customer experience stays intact even in trying times.
Continued cloud adoption
Cloud-based workflows and applications have been around for a few years now. Many organizations have already shifted toward the cloud, kickstarting technological evolution.
Many businesses that have adopted the cloud are not using it to its full potential. The best way to ensure you make the most out of your cloud services is by creating a proper cloud strategy. Many companies also try out different cloud services simultaneously, bringing better results.
Rise of DevSecOps
With the development and operations departments teaming up, there are times when security is being sidelined in the production process. Then the security teams cannot keep up with the faster techniques.
This is why DevSecOps has been introduced. With DevSecOps, not only are development and operations collaborating and improving productivity, but security is also joining the bunch and reducing risks and vulnerabilities. DevSecOps also ensure that safety is being implemented right from the start and not being rushed in just before the product launch.
Low-code apps
While speed is always valued in the tech industry, the lack of speed in low-code applications is a plus point. Low-code apps provide the agility that high-code apps do not.
The most significant advantage of building in low code is that it requires absolutely no coding knowledge. So the entire app-building process can be handled by a non-technical person, and it would be based entirely on visual representation and interface.
GitOps
For when you want to control and automate infrastructure GitOps becomes highly beneficial. In GitOps, the DevOps teams use the Git application to manage clusters and deliver applications. They can also manage infrastructure and software deployment by using Git pull requests.
GitOps also have traditional development tools to manage cloud-native and clustered apps. This means you can use Git as a single source of truth and automate all cloud-native applications.
Infrastructure as code
As much as infrastructure automation is widespread today, it is just gaining more popularity as technology advances. Infrastructure as code is a DevOps methodology used to deploy infrastructure, and it is beneficial for maintaining a balance between networks and models.
IaC ensures continuous delivery of products and services as everything becomes automated. In addition, it makes the tasks of the DevOps team more manageable and more scalable.
Artificial intelligence and Machine Learning
A study by Mordor Intelligence shows that the AI operations market is estimated to grow at 31.45% from 2022 to 2027. This means where the AI market was valued at $58.15 billion in 2021, its value will grow up to $271.48 billion in the next 5 years.
So looking at the apparent growth of AI and ML, you can safely judge that implementing it in DevOps improves quality and release cycle. Artificial Intelligence IT operations and processes while Machine Learning standardizes system development.
Automation
Automating the feedback process between the development and operations teams reduces manual intervention for repetitive tasks. In addition, the flow of feedback remains working, resulting in faster changes and releases.
Many organizations have already automated their DevOps procedures, which has changed their game. Additionally, predictive analysis in DevOps pipelines helps detect and treat any problems.
Cloud-native infrastructure
When you have applications that run only in the cloud, having a cloud-native infrastructure seems beneficial. Cloud-native infrastructures perform as both hardware and software for these cloud-based applications.
The primary goal of DevOps is reducing release time and bringing more efficiency. This becomes possible because of cloud-native infrastructure.
Conclusion
DevOps has always been about enhancing the user experience and ensuring that the results align with the goal set at the beginning of the project. Therefore, DevOps will always be relevant if an organization’s plans do not diverge from the user.
While trends in technology come and go seeing as most of these DevOps trends focus on the user, these are the trends changing the game. So if you’re in the tech industry, you need to be aware of these future trends.
