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Top DevOps Trends and Best Practices to Watch for in 2020

Acknowledging Data Management
          Best Practices with DataOps


Introduction to DevOps and DevOps Trends

2020 is the year; Firstly, we break the term "DevOps." What was once an accurate portrait has been all but commandeer by Ops organisations. Internal Ops teams are unusual out about losing their jobs, so they' started re-titling themselves "DevOps Engineers." People are paying more money for these frauds, but they are the ones proceeding six weeks to spin up an instance that should be ready in 30sec. This isn't an uncomplicated solution, but we have to start educating executive leadership on what real DevOps means and looks like, and what they need to expect from their DevOps investment.This article will give an overview of Top DevOps Trends and Best Practices to Watch for in 2020 -

How Golang and DevOps Will Prosper Together?

Golang is a programming language. It will have a more significant impact on the DevOps community, although it is already making an impact. Many DevOps tools like Docker, Kubernetes, Etcd, Helm, Istio, and more are written in Go. Golang is best for working in environments where you do not want to install dependencies, and it compiles into a stand-alone binary. Without having to get the environment set up, you can get things completed in a much better way than other programming languages.

Concept of "everything as Code."

It is a fact that coding has now become the backbone of the IT sector. Understanding of various DevOps tools and automating scripts plays a critical role in software development, and it is going to dominate in 2020. The future of this organization depends on the technical capabilities of the testers, people of the operation, and mainly developers.

Kubernetes has developed significantly:

Kubernetes has become apparent to be top container technology. Universally, technologists and CIOs prefer Kubernetes because it is assumed to grow by 2020. This year, we discussed the choice of Kubernetes takes off as companies of all sizes containers for running cloud-native applications. In 2020, we will start to noticed container management software replacing several old DevOps functions.Many Enterprises have begin to see the direct operational, and financial benefits to the automation, flexibility, scalability, portability and high availability of Kubernetes, the demand for engineering experts and developers in this sophisticated software will increase accordingly. Given the already significant and still developing Kubernetes community, we should also see an increase in the speed and volume of feature releases.

More Security in DevOps - DevSecOps

Currently, we have seen a lot of buzz around DevSecOps. DevSecOps is about injecting security first in the application development life cycle, improving business reputation and decreasing vulnerabilities. With the exponential growth of security breaches have adverse impacts on the company' reputation, cyber-security has become a business imperative. In 2020, DevOps will include security. As organizations implement DevSecOps, they adapt associated tools to their needs. In 2020, the following features are likely to be an essential part of the evolution of DevSecOps solutions and practices.
  • Container Security
  • Improved Visualization of Security Data
  • Focus on Data and Database Security
Benefits of Adopting DevSecOps From the Article: What is DevSecOps?

Using Serverless Architecture:

DevOps can be reached to the top level with a serverless architecture. It is not free of servers; however, there is a cloud service that takes care of the complete architecture. This architecture allows software developers to focus on the application. Backend as a Service (BaaS) and Function as a service (FaaS) are the two critical features of serverless architecture. By employing serverless architecture, you can cut down the costs, save time, and ensure a flexible workflow.

DevOps Adopts Data Science - DevOps Intelligence

The rise in AI-driven applications is encouraging data scientists to adopt DevOps methodologies. DevOps can inscribe data science challenges such as the lack of cross-functional collusions. DevOps can also help data scientists to improve their algorithms and continuous testing. DevOps enhances efficiency in the management of Artificial Intelligence and Machine Learning-driven applications.

An Increased Focus on Automation

Data Science and AI Providing Improved Automation Options. If your company has already worked on DevOps, then you have likely already seen faster deployment and higher efficiency. It's now necessary for those adopting this technology and users to understand the Six C's of the DevOps cycle and how they can apply automation. This is going to be a significant and best objective in 2020. Automation allows creating many real-time reports which provide a combined view of everything happening in a project.DevOps automation produces more frequently, more builds, and with them a lot of information. That' the perfect environment for machine learning and Artificial Intelligence to play a growing role.Get more prominent use of Infrastructure as Code means that operations managers have greater flexibility in allocating server environments and clusters, with the help of changing code descriptions.

Integration of Tools and Activities:

It is not easy to use any testing tool that is not integrated with the other tools for software lifecycle management. Software teams need to incorporate the tools that are used for all development so that multi-source data can be gathered to apply Artificial Intelligence or Machine Learning approaches successfully. Example of This Tool: using Artificial Intelligence or Machine Learning to detect where to focus on testing, needs not only data from the testing purpose but also the implementation, design, and requirements phases. Along with the trends of developing transformation toward DevOps in 2020, Artificial Intelligence or Machine Learning, and test automation, we will see testing tools that allow integration with the other tools and activities in Application lifecycle management.

A Holistic Strategy for 2020

DevOps Trends are increasingly growing into a working standard for software development. The model is improving and impacting the work with technologies such as containerisation. The list of trends presented in this report is by no means exhaustive. We may see DevSecOps and DevOps, in particular, driving further innovation with faster, more secure, Focus on automation, and software releases.

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