According to a recent collective study, the DevOps market generated about $2.9 billion in 2017 and is projected to reach about $6.6 billion by 2022. The combination of artificial intelligence and security, coupled with a huge shift to automation, makes it reasonable to expect DevOps to become the dominant model of software engineering by 2020.
DevOps has the following advantages:
● Quick response to changes in requirements
Super fast delivery speed and flexible security deployment
● Establish a sound communication channel
● Quick identification of errors or vulnerabilities in code
● Let the team focus on other key things instead of focusing on security features
More and more enterprises are adopting DevOps as a product delivery model: According to Statista, the number of enterprises fully DevOps adoption has increased from approximately 10% in 2017 to 17% in 2018.
And devOps will see a new trend in 2020.
Automation in the spotlight
Organizations implementing the DevOps product delivery model have seen extreme efficiency and ultra-fast deployment speed. When we talk about DevOps, we’re talking about DevOps automation, and zero-touch automation is the way of the future. In the 7cs of the DevOps lifecycle (continuous development, continuous integration, continuous test, continuous feedback, continuous monitoring, continuous deployment, continuous operation and maintenance), application automation is key for the future, as it is expected to be one of the major goals in 2020.
Attention shifted from the CI pipeline to the DevOps assembly line
An important goal of DevOps is to improve collaboration between the planning and automation phases of the delivery process. This is not just about CI (continuous integration), but more importantly about CD (continuous delivery). Many organizations are investing additional effort and time to automate the entire process of corporate software development. So, for these organizations, now is the time to contact a DevOps consulting service provider. By 2020, attention is expected to shift from the CI pipeline to the DevOps assembly line. Some common advantages of assembly lines are as follows:
● Native integration
● Robust nested visibility
● Perfect continuous delivery of appropriate interoperability
● Team-based analysis and business intelligence
● Fast implementation and extension of “everything is code” concept
Increased use of serverless architectures
Using a serverless architecture takes DevOps to the next level, not without servers, but with an overall architecture of cloud services. Function as a Service (FaaS) and Backend as a Service (BaaS) are two key aspects of the serverless architecture. By adopting this serverless architecture, enterprises can save time, reduce costs, and have flexible, flexible workflows.
The concept of “everything is code”
Program coding is the backbone of IT department and its service system. A good understanding of DevOps automation tools and scripts will dominate 2020. The future of this particular IT domain and product depends on the technical capabilities of developers, testers, and operations. Now, as delivery times shorten, code needs to be introduced to improve the efficiency of software production cycles. The concept of “everything in code” is the practice of SDLC that does code within DevOps. If software testers have not yet started learning to program and write test scripts, their work is likely to be hampered.
Better embedded security
With the emergence of security holes, more and more large and small enterprises realize the importance of network security. In 2020, DevOps is expected to quickly incorporate security issues into its processes. DevSecOps first injects security into an application’s development life cycle, which helps reduce various defects and vulnerabilities and increases business credibility. Companies’ shift to DevSecOps makes everyone on a project take responsibility for security, which leads to great collaboration in the software development process because it ensures that the software development process is always perfect, efficient, and operational.
The rise of artificial intelligence and the rapid development of data science
With the proliferation of AI-driven applications, data science is driving more and more companies to adopt DevOps concepts into their workflows. This will further advance data science as data science and development teams become more efficient in software development, deployment, and management of AI-driven applications.
The main goal for 2020 is to achieve zero contact automation. The ongoing boom in ARTIFICIAL intelligence and data science is a game changer. The introduction of AI in many applications has driven multiple DevOps teams to automate both AI and data science, with data science teams and development teams working together to improve each other’s skills and delivery.
Increased use of serverless architectures
Using a serverless architecture takes DevOps to the next level, not without servers, but with an overall architecture of cloud services. Function as a Service (FaaS) and Backend as a Service (BaaS) are two key aspects of the serverless architecture. By adopting this serverless architecture, enterprises can save time, reduce costs, and have flexible, flexible workflows.
Kubernetes has grown
Kubernetes is a leading provider of distributed architecture solutions based on container technology, which has become a widely used container technology due to its performance and ease of use. K8s is expected to see even greater adoption and growth as companies of all kinds further embrace container technology to run their cloud-native applications.