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2022 DevSecOps Predictions Part 2

In 2021 “coercion” will give way to “collaboration.” Citizen developers’ demands to roll up their sleeves and work directly on automation projects are finally being met as BizDevOps ramps up. Going forward we’ll see increasing emphasis on good corporate governance being built into business projects from the ground up. There will be more solutions that enable the Biz to be a productive partner in the BizDevOps team, and the trend towards tools and platforms that incorporate a range of low-code to full-code options has already started. We’ll see more business automation solutions that allow the whole BizDevOps team to design user interfaces on the same platform, to integrate technologies like RPA appropriately, while integrating good governance and security at every step. As automation and AI bring better capabilities for actionable business data, with BizDevOps collaborations we’ll also see more emphasis on creating wider and deeper visibility into automation results.

As developers take on more of the decision-maker role, we will start to see a shift in the kind of tools developers will seek and implement. Being able to scale globally is possible with Kubernetes, but is very complex. Security will continue to shift into being a standard facet of delivery as we move into 2022. This will enable rapid and contextual feedback to be instantly acted upon by our DevOps teams. Monitor at runtime and feedback or even pull request infrastructure-as-code changes back in the version control system. Enabling DevOps engineers to evolve to DevSecOps engineers is a journey and 2022 will continue to see this movement evolve.


Now, through platform engineering, IT and developers will come closer together, both as a new collaborative framework and an evolved toolset. We will see the rise of frictionless self-service developer portals, and IT can evolve to become more supportive than instructive; developers will tell IT which tools they want to use, and IT will be able to seamlessly accommodate their requests. Developers will spend less time on infrastructure tasks, and more time on creating applications, adding accelerated value for their organizations. This trend will only continue as automation tools get even better at simplifying the entire software development process. Platform engineering is the next evolution of DevOps, taking a DevOps platform and turning it into a self-service product to improve the developer experience. It treats DevOps as a product and allows organizations to create an end-to-end offering that serves developers, operations and platform teams.

devops predictions

Until now, the technology driving this evolution for smaller organizations was not mature enough for legacy systems, but next year, this will change. As an antidote to the Great Resignation, agile organizations will develop apprenticeship style programs for knowledge workers in order to enable and catalyze the people and teams that they need for the present and future of their businesses. They’ll focus on accelerating feedback loops and breaking down the silos between the development and operations teams to introduce better visibility into the process. This shift will require data-driven DevOps to inform these processes and, in the end, we’ll see a lot more developers manipulating and being connected to the binaries they create and the ones they depend on. The data that these binaries produce as a source of consistency and visibility between the development phase and the Operations phase .

As organizations strive for faster deployment times, there is an increased need to ensure the quality of the code being deployed is up to par. This means that more focus will be placed on quality assurance processes such as automated testing and code reviews. This will ensure any bugs or issues are caught before they can cause problems in production. Additionally, we may see a shift towards using more sophisticated methods such as AI-driven testing to further reduce the amount of manual labor required for these tasks.

The future of DevOps: 21 predictions for 2021

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. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how DevOps and related technologies will evolve and impact business in 2023. However, organizations overlook the importance of getting their staff on board with the upcoming change and instead focus efforts on DevOps tools.

devops predictions

But one thing that’s often overlooked when discussing these tools is security, if a vulnerability shows up in one piece of code, that vulnerability will be present each time that code is deployed. Similar to when serverless applications were on the rise and people didn’t know how to securely deploy them, I predict there will be a similar learning curve with low-code and no-code solutions. Over 2022, there was increasing talk about platform engineering, and we see this set to continue to grow.

DevOps Within Enterprises

I think DevOps will get a massive re-boot with a renewed focus on the cloud-native and microservices as adoption increases. Rapid technology advancements, sweeping changes in business priorities, and a seemingly insatiable demand for software have collided—meaning developer roles will evolve and will have a more important seat at the table. GitLab’s latest DevSecOps survey found that developers are already seeing this devops predictions change and reporting new ops and security responsibilities while releasing software at a faster rate. In 2021, software will be seen as critical to business success, and developers will become embedded in business teams, rather than technology teams. As developers continue to migrate to the front lines of application security, more development teams will achieve measurably better security and productivity outcomes.

devops predictions

We’ve seen that DevOps workload is difficult to practice in small and medium-sized enterprises, as well as in large enterprises that lack sufficient talent. The gradually accumulated cognitive load ultimately leads to a less agile and efficient collaboration between teams. Given these issues, more organizations in 2023 will reassess the DevOps model and adopt platform engineering as an alternative.

Culture and leadership

The end state, after all, is one where increased IT agility enables maximum business agility. To improve trust across formerly disconnected teams, common visibility and insights into the end-to-end pipeline will be needed by all DevOps stakeholders, including the business. With the rapid development of Kubernetes and cloud-native applications, organizations are realizing the inadequacies of their IT teams to leverage DevOps practices.

The guiding principle of GitOps is that Git is the source of truth for an organization’s system, reflecting all changes made to both applications and infrastructure, and traceable in great detail. On top of running the unit and integration tests, developers will be able to see the potential impact of the changes to production before the change is still under review. It’s essential for distributed architectures as the impact on downstream services and other parts of the software can stay unnoticed before pushing into production. For this reason, application teams will find ways of embedding observability tooling as a part of their CI/CD process.

  • Break the silo and include the mainframe environment in your DevOps ecosystem.
  • Large and complex organizations are focusing on consolidation and standardization of DevOps processes so as to scale DevOps within the enterprise.
  • BizDevOps should be adaptive to where it’s needed the most, and currently that’s understanding, allocating, and reducing usage-based costs in the cloud.
  • After the wide acceptance of DevOps culture, there was a need for IT automation The concept of Infrastructure as Code has made this possible with tools like Terraform, Ansible, CloudFormation, Pulumi, etc.

Dev teams are busy so will pick tools that can be easily integrated by developers and have SaaS hosting options. In 2022 we’ll continue to see the push towards integration of DevSecOps with product and enterprise application development. This will be driven by developers who recognize critical security issues, and in order to address those issues they’ll need to have the right tools.

DevOps Transformation: Metrics That Show Business Value

It is as it enables swift development and deployment of apps, and time is everything in this fast-paced world. While DevOps uses many tools, the primary idea is to bring the development and operations team under an umbrella. The massive CAPEX and OPEX of server infrastructure are the main factors driving the needto optfor theserverless DevOps process. Other prime USPs of serverless architecture are flexibility, reliability, speed, and cost-efficiency.


DevOps follows the path of BADgile, becoming DevOops for most teams — Many teams are mistakenly “Doing Agile” rather than “Being Agile” and have ended up with what I like to call BADgile. The same affliction also impacts teams moving to DevOps, their over-focus on automation tools resulting in missed requirements and defects being pushed into production. Successful DevOps teams will do so by improving their end-to-end processes first — including robust automated and manual testing to validate quality standards and security requirements — and segregating duties across workflows. As we’ve witnessed over the past year-plus, deteriorations of the software supply chain can quickly impact profitability due to increased costs. In 2022, open-source supply chain security will take hold as organizations rally around new ways to share and consumer knowledge in a digestible way. The idea is to democratize security testing and information, which requires more collaboration and communication.


The rationale of prioritizing this alignment between distributed and core systems includes the reuse of best practices, workflow simplification, cost-effectiveness, application integration and streamlined training. DevOps has established itself as an indispensable software development methodology. Courtesy of its enticing benefits such as faster software delivery, improved quality, and high customer satisfaction. Amid the pandemic, DevOpstrendsgained huge prominence asDevOps operationsstreamlined remote collaboration to facilitate agile development practices and infrastructure flexibility. Business teams need faster and faster responsiveness as everyone continues to look for ways to maximize go to market, and DevOps teams are always working to up their game. We’ve seen them leverage “shadow IT” for specialization, microservices for resilience, and containerization for delivery.

Since DevOps is a culture more than a technology, it will snowball as the number of people conversant and comfortable with it grows. Companies that adopt DevOps will become more innovative and successful — those that don’t will struggle to maintain relevance. 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. Connect with the leading IT infrastructure and operations (I&O) leaders and get the latest insights needed to take your strategy to the next level.

In this way, organizations will not only gain more insights into their pipelines, but will also be able to proactively manage the data in real-time. They will be able to adjust loads as needed and create smart pipelines with advanced error handling. Organizations will leverage benchmarks within the analytics to see how they compare with their peers. DevOps, or the automation of application development and hand-off to operations, is more prevalent than ever on the mainframe. As we begin 2023, below are six predictions for what the coming year will bring.

Cloud-native tools and technologies provide companies with a wide variety of options to build scalable software and maintain them with high availability. In fact, the first-ever web browser was created for a cloud-based operating system. But this new generation of cloud native tools makes it possible to do more than ever. For example, Docker made a huge impact with containerization that made collaborating, distributing and testing software much easier. And thenKubernetes was crowned king of container orchestration where it significantly influenced the developer market by orchestrating and scaling containers, and deploying them smoothly.



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