According to a group study, the DevOps market is generated $2.9 billion in 2017 and reach $6.6 billion by 2022. DevOps will be an essential focus, shaping the software world, with many experts predicting that DevOps will become mainstream and peak in 2020.
Over the years, DevOps is making its roots stronger with new techniques, tools, and processes created to integrate developers and IT operations tightly.
Agile and DevOps improve collaboration between technical and business capabilities.
Agile and DevOps are a grass-roots movement that starts with technology. However, in many cases, Agile and DevOps do not need to exit the technology. On the other hand, agile is also used in other functions, such as finance, human resources, procurement, and marketing. Some senior leaders are increasingly calling for ‘agile’ throughout the organization.
But this does not seem to help the tech community unite with colleagues in all other features. The competitive pressure that digital technology imposes on organizations will increase cross-departmental collaboration by 2020, making Agile the starting point for conversation.
To speed things up, we encourage teams to use agile methods to discuss their experiences with people with different functions. Agile is a useful question; what are you doing? What changes? What’s the problem? How we work together to solve some of the issues? These questions help people with different functions get to know each other and improve collaboration.
Automate changes based on policies, data, and automation
Despite significant investment in DevOps programs, most organizations make progress only through the development process, and downstream gate processes, such as, take time manually and change management. Developers tend to have to log in, create change requests, and manually fill out forms, which is a frustrating, lengthy, utterly unnecessary process. In reality, the manual method for DevOps will not last for the next decade. They create unnecessary friction, destroy the flow between development and operation, and block other essential tasks.
However, this trend is changing as organizations implement dynamic control through data and policy automation for actual CI/CD, and organizations are trying to automate tasks such as change management. As automation becomes more prevalent, developers can spend a lot of time developing to deploy applications faster and more efficiently.
Organizations rely on AI/ML and analytics to improve efficiency and visibility
Although DevOps has made all progress in the past decade, the visibility of all pipelines in development is limited, and there is a link to the performance of these deliverables in the real world. It does not cover an obstacle: knowing what has changed and how to, It tests, understands its meaning, assesses risk, and what to do in production. Lack of visibility brings its challenges (distrust between teams, slow approvals, and inefficient processes).
Organizations began to recognize and address this challenge, and in the process benefited from local optimization within their department. If this situation continues, there will be greater reliance on analytics to improve overall process efficiency and end-to-end visibility. In addition, analytics tools collect planning, repository, testing, deployment, and performance data throughout the DevOps lifecycle to provide insights on cycle time, risk reduction, and improved project outcomes. AIs and MLS use this information to guide their work better and help adjust stage barriers and policies based on past performance and other aspects. Core analytics enables teams to make changes at the speed of DevOps, and ML support is more visible than ever that puts IT at the heart of developer culture and thinking.
The Rise of Artificial Intelligence (AI) and The Promotion of Data Science
More and more AI-driven applications encourage data science teams to find DevOps ideas in their workflows. The DevOps approach is expected to be an essential choice for processing automation pipelines and maintaining and testing multiple deployed models in the production chain. This will be a further boost as data science and development teams move closer to the efficiency of developing, implementing, and managing AI and ML-driven applications.
The DevOps adoption and knowledge is now more common
As more and more teams adopt DevOps, more and more people understand the underlying essential technologies and skills. Practices such as chaos engineering and unit testing become more common in engineering organizations, reducing topic confusion, and ultimately reducing the number of people searching for these terms on Google. A more specific approach to new practices five years ago is becoming an old hat for IT practitioners and software developers who think of DevOps.
Engineers are responsible for the code they write, and are usually responsible for calls, and are more comfortable responding to software issues that are built and maintained in real-time. Between the traditional ‘developer’ and ‘operational’ roles, some obscure work has been done to improve collaboration with the DevOps culture and to enable more purchases.
Concept of “All Specifications as Code”
It no denies that the coding part has become the backbone of IT. Understanding that various DevOps tools and automated scripts play an important role in software development is dominant in 2020 and beyond. The future of this technology industry is fully dependent on the technical capabilities of developers, testers, and operators.
Because DevOps is a task that mitigates the lead time, you need to deploy code that you can use to improve the efficiency of your software production cycle. The concept of ‘All as Code’ is a built-in practice for DevOps, which can exist in SDLC to create waveforms in DevOps Trend 2020. Software testers can suffer if they do not learn to code or write test scripts.
Using hype in a serverless architecture
You can use a serverless architecture to reach peak levels. It does not have a server. However, there are cloud services that are responsible for the complete architecture. This extraordinary architecture allows software developers to focus on their applications. BaaS and FaaS are two essential aspects of serverless architecture. BaaS and FaaS are the two essential aspects of serverless architecture. The serverless architecture saves time, reduces costs, and ensures elastic workflow.
Built-in security (Embedded Security)
The dramatic increase in security vulnerabilities and their negative impact on the company’s reputation make network security an integral part of the business. By 2020, DevOps will quickly include security.
Recently, there has been a talk around DevSecOps. DevSecOps is the first to inject security into the app development lifecycle, reduce vulnerabilities, and improve business reliability.
The move to DevSecOps has also led to significant collaboration in software development. This ensures that the development process is perfect, efficient, and effective.
Kubernetes has evolved a lot.
Kubernetes has proven to be the top container technology. Globally, engineers and CIOs prefer Kubernetes’ products, which are expected to grow by 2020. This year, we’ve seen the adoption of Kubernetes begin, as companies of all sizes use containers to run cloud-native applications. By 2020, we’ll start seeing container orchestration software replace some of the old DevOps functions.
Tool fatigue gets worse before it gets better
The number of technical tools and frameworks is daunting. The challenges that IT teams face with understanding, interconnecting, and applications will continue, and a real solution will not be seen by 2020.
The DevOps toolchain is highly competitive and intense. Events and meetings are filled with technical and best practice sessions. Books, blogs, and videos fill the email inbox, and thought leaders are eager to share their expertise. In addition, more and more open-source tools are emerging from integrating new technologies.
Developing automated strategies is becoming more and more important to combat complexity challenges. When developing this, don’t overlook the actual problem you’re trying to solve and how to take advantage of your team to do this.
Despite the progress of the last ten years, there are many ways to provide the value of DevOps and expand the scope of recruitment. The huge number of tools used by developers and IT cannot be easy to understand the overall performance of each team fully. The combination of visibility and manual processes slows down the behavioral and cultural changes required to succeed in DevOps.
However, as you enter DevOps for the next decade, the combination of automation, analytics, and workflow platforms will help your team succeed.