DevOps Predictions for the Future

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DevOps guided by ML will play a key part of any sustainability initiative as DevOps gains visibility in the usage of resources across the software development lifecycle. Some of us have been around IT for a long time, and others have just recently entered this awesome field. No matter where you come from or what your next destination is, you have joined this field because you love to solve problems, apply new technologies, try out new things, and develop or operationalize existing or new solutions. The evolution into new operating models and new technologies (e.g., AI, RPA, AR/VR) however, requires the adoption and change of existing behaviors and cultures. Additionally, burnout, quiet quitting, generational issues, and different working models will need to be addressed. AI is already used to automate tasks like security scans, bug fixes, and quality assurance testing, but it’s expected that AI will continue to evolve to automate more complicated tasks.

Similarly, tools and containers like Kubernetes, Docker, etc. that are used to manage them come with their own set of risks. The Serverless Stack is hugely popular for the agile development of innovative products. It uses serverless computing to automatically scale up or down as needed with each change in traffic flow. It features advanced capabilities including automated high availability, error detection, and autoscaling to meet increasing internet user demand.

devops engineering predictions

Then when Google introduced the concept of SRE many predicted that DevOps would become obsolete. Instead, what has happened is that SRE, DevOps, and Agile are all still present and widely employed. Moreover, adopting one of these approaches does not preclude the others from being adopted as well. On the contrary, often the most successful organizations are the ones that have combined all these methodologies. It should be remarked that the idea behind Platform Engineering is that the platform is a real product that is constantly evolving. Therefore, Platform Engineering is not limited to only the initial design phase of the platform, but also involves the implementation and maintenance phases of the product.

Understanding The Embedded Software Development Cycle

Businesses often prefer full stack developers because, in contrast to specialists, they can handle different types of development tasks. Principal Data ScientistGiacomo Vianello is an end-to-end data scientist with a passion for state-of-the-art but practical technical solutions. He is Principal Data Scientist at Cape Analytics, where he develops AI systems to extract intelligence from geospatial imagery bringing, cutting-edge AI solutions to the insurance and real estate industries. The change from SysAdmins to DevOps teams may seem far off and daunting, but it will happen in a flash.

  • It ensures that each development life cycle layer has strict security protocols.
  • The gradually accumulated cognitive load ultimately leads to a less agile and efficient collaboration between teams.
  • While the shift to microservices is still happening, it is not necessarily a default option in many industries.
  • It automates releasing incremental updates, and consistent delivery will enable developers to build, test and deploy software rapidly.
  • With ML, DevOps teams can inject multiple test suites into CI/CD pipeline and repeat them to find bugs, detect antipatterns, and uncover unique insights.
  • In addition to DevOps in general, topics covered include development, microservices, containers and Kubernetes, automation, integration and testing.
  • In 2022, it is anticipated that AI/ML will further streamline and accelerate every phase of the SDLC.

It automates releasing incremental updates, and consistent delivery will enable developers to build, test and deploy software rapidly. AI and machine learning have made it possible to do everything in the technical world. This tech process has used many AI and ML techniques to get the best results. AI can change how teams build, deliver, deploy, and organize apps, which can help them do better work with less effort. API-first application development is the cornerstone of the apps we use every day and the increasingly interconnected experiences we enjoy as consumers, employees, and people. A few trends are underway that demonstrate the primacy of the developer experience in IT organizations and the wider businesses of which they are a part.

Why Is It Difficult to Hire for DevOps?

Dev and Ops teams are increasingly moving to rapid development and reliable, high-performance services delivery. Serverless computing streamlines overall DevOps operations, including the complete software life cycle, from development to deployment, testing and maintenance in one place. Also, serverless computing reduces the developer’s workload by taking care of server maintenance, such as cloud monitoring and system updates. Other prime USPs include flexibility, reliability, speed and cost-efficiency. DevOps has helped speed up and improve software delivery, improve customer satisfaction, shorten the time it takes to get a product on the market, and much more.

It ensures that each development life cycle layer has strict security protocols. Container management systems along with Kubernetes will also reduce human interaction and embraces a fully automatic workflow. Its pipeline architecture allows developers to leverage AI and ML tools to examine, predict, and automate workflows. In the coming year, mobile will be increasingly top of mind for DevOps teams and will become a part of standard application rather than an afterthought. With this, we’ll also see a stronger emphasis on accessibility both for development teams and end users.

How to scale digital transformation for faster growth

DevSecOps is a DevOps pattern that converts security into a shared responsibility across the application product lifecycle. Earlier, security was handled by an isolated team at the final stage of product development. However, in today’s DevOps era wherein apps are deployed in smaller cycles, security cannot wait for the end any longer. As such, DevSecOps integrates security and compliance into the CI/CD pipeline, making it everyone’s responsibility. The year 2022 is going to see more focus on shifting security towards the left of the CI/CD pipeline.

devops engineering predictions

Here are predictions I see taking shape in 2023 to support the trending curve. Remote-first organizations will continue to endure cybersecurity threats next year and beyond. Leaders will need to decipher how to best handle the risk and access points across platforms with sensitive data. Therefore, it is necessary for security, DevOps and business teams to converge and continue to anticipate these threats and operate holistically. As companies work toward a singular product vision and business value, the overlap of responsibilities and cross-collaboration will be important.

With DevOps, you get immediate feedback, which makes it possible to match the client’s needs. Have a look at the video below that will help you understand who is a DevOps engineer and what sought of roles and responsibilities are handled by a DevOps engineer in an organization. By choosing a DevOps training course that offers a complete learning path, you can take your DevOps career as high as your ambition goes. You can enroll in the DevOps Engineer Master’s Program that adds six more courses beyond the DevOps Certification Training Course and several in-depth Capstone projects. With rapid advancements in DevOps methodologies, roles and responsibilities and new designations in the domain are emerging quickly. Though the skills and duties of DevOps experts overlap frequently, companies tend to list these roles separately.

In addition, IaC boosts the DevOps culture of blurring the lines between Dev and Ops with increased collaboration. This year, we will see a rise in the adoption of IaC and this particular approach becoming a DevOps standard by teams that embrace DevOps. The JAMstack flips the traditional approach on its head by combining static site generators, JavaScript, and CSS into one package. These tools give you the flexibility and scalability for modern web projects. JAMstack’s goal is to provide developers with an all-inclusive platform with no restrictions on how you can code your application. With The JAMstack, it’s possible for teams using different languages and frameworks to collaborate without any friction.


In your SDLC, you can use ML to prioritize event-driven alerts, perform root cause analysis, and recommend actionsL. You can use multiple types for different purposes in order to get the most of your data protection efforts. So, even if you want to take advantage of the many security features offered by traditional private clouds, you’ll still be able to take advantage of cheaper prices and new technologies on public clouds like AWS, Azure, or GCP.

devops engineering predictions

Concepts like Agile, Scrum, DevOps, and CI/CD have taken over the digital economy. The demand for DevOps experts across various roles is witnessing a steady spike. DevOps has become a vital function in all organizations because infrastructure access management falls within its purview. In short, access management has a direct correlation with workplace productivity. Poor access management practices can drag down productivity while efficient workflows can yield security and compliance benefits, in addition to productivity gains. Infrastructure as Code is another growing trend that will become mainstream in 2022.

The industry is going to lean heavily into adopting platforms that empower teams to do their best work by not overburdening one group with certain tasks and, instead, operating as a team in a platform. By leveraging a platform engineering approach, developer teams can work smarter, faster and provide more business value with stronger outcomes. While technology has become an integral part of businesses, it is apparent that application development will have to stretch beyond the boundaries of IT. Adaptation of business sense and having an in-depth understanding of how technology influences and impacts business will become mainstream in IT departments. Restructuring the DevOps process and reorganizing it to include business will become the norm in the industry.

It was conceived as a version of the Ruby programming language’s core libraries, facilitating the addition of web-related things like controllers and views to a standard Ruby installation. Thanks to these libraries, developers are not required to write all functions and features from scratch. The improved libraries allow you to use components created by other developers.

How to Use Automated, Agile Processes for Application Modernization

Technology is transforming every aspect of industry, and digitalization and automation have flourished in the past few years. DevOps has established itself as an indispensable software development methodology for successful digital transformation. Many business platforms are moving their services and solutions to Cloud-native technology because of the huge success of Netflix, which devops engineering predictions uses cloud technologies. GitOps is a fairly new entrant to the DevOps culture that provides a way to automate and manage the complete infrastructure. With GitOps, teams can make best use of DevOps best practices including code review, version control, and CI/CD pipelines. Through effortless automation, the declaration files are stored in a Git repository, reducing the downtime.

Supporting Hybrid

You can’t just deploy small features or functionalities – you have to scale the entire application, the entire code base. A microservice, on the other hand, can be built, tested, and deployed on its own. From creating code to developing, testing, and ultimately deployment, everything requires automation. Even the monitoring and post-development process testing is automated thereby ensuring effective integration and quicker results. As a DevOps aspirant, you need to be fully aware and instrumental with such tools and should be able to deploy them during the setup. Some of such tools include Chef, Puppet, Ansible, Chef, Salt, Kubernetes, Docker, Jenkins, Nagios, and more.

Working With Azure DevOps Tools and Services

The fundamental value of the MERN stack is that it allows developers to create robust and high-performing applications having great scope for reuse. It is also efficient in terms of cost and time because these applications can run seamlessly on any device or platform. This stack has gained popularity owing to the seamless integration of all four components together with each other.

For the Majority of Organizations, DevOps Must Still Expand

Data scientists and IT professionals to collaborate and communicate effectively while automating machine learning models in the case of MLOps. In 2023 new names for collaborative operating models will continue to be developed and the challenge will be to understand which ones are critical to understand, learn and potentially apply. To tackle this, the concept of service mesh has gained tremendous attention lately. Service meshes help companies that employ a vast number of microservices to automate networking, monitoring, and security.

Some of these predictions may come true in the next 12 months, while others may be just as valid but take several years to be realized. But taken collectively, this list of predictions offers a timely and fascinating snapshot of what the IT industry and the DevOps market are thinking about, planning, expecting and hoping for 2023. But until recently, the extent to which DevOps tools fully benefited from AI and ML was limited. Vendors often promised that their AI-powered tools could do fantastic things, but in practice, those things often boiled down to functionality like a relatively simplistic pattern or anomaly detection. One must know that there is no one-size-fits-all approach to DevOps and that there are other factors influencing the expansion and growth of DevOps journeys. Additionally, these organizations have modified their way of working by transforming their culture.

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