2021 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.
A process in which, Modern software engineering Culture and Practices to develop software where the development and operation teams work hand in hand as one unit, unlike the traditional ways. What is DevOps and it's Processes?
Pandemic role in the rise of DevOps culture
The year 2021 is the year of remote working. The companies that support remote working are growing, and this new working approach had an impact on DevOps culture. This pandemic sets new challenges if a company won't ingrained remote work, the end product will suffer. Many businesses where DevOps drives daily work were already trying to know how best they could share information, Coordinate with team members without the extra burden or time lost, context switching between products. With strong DevOps strategies, the companies can deliver value to customers more effectively.
In 2021, DevOps won't only help end-users but also impact companies and their internal processes. With DevOps' help, companies will become much more agile and cross-functional, making smarter decisions with fewer risks.
Rise in popularity for Microservices Architecture
Microservice architecture is gaining popularity these days by replacing monolithic architecture.
Reasons why adopting microservice architecture is because it is very flexible and easy to maintain. It divides the whole application into individual independently connected fragments, and these units can be managed by a small team, enabling DevOps to focus on a single unit. Microservice architecture fastens the delivery of complex applications and enhances operational efficiency by saving time and effort.
DevOps is a buzz these days in the industry; it’s growing at a speed of light due to its potential to produce quality products at a lightning pace. Best Automation Tools for DevOps
Advancement in Infrastructure Automation Tools
DevOps team uses Infrastructure Automation Tools to provide automation to Infrastructure by keeping up-to-date configurations of the on-premise and cloud environments. It provides you with surety, consistency, and accuracy. Infrastructure Automation Tools still are in trend this year. It gives support to the IT Operation team to manage multi and hybrid cloud infrastructure with ease.
Benefits of using Infrastructure Automation Tools are:
Code versioning management.
Reduce staff costs.
Transformation towards CI and CD
If we talk about the traditional integration and delivery of applications, it is very slow and ambiguous. The traditional processes required a lot of attention from the development team to update the patches of the application. But as the CI/CD (Continuous Integration and Continuous Delivery) trends occur, it tremendously changes the flow of handling the applications. This is a much more reliable and quicker way of delivering the release of the application. It frees the development team from the headache of the release, and now the delivery of applications are much faster. The CI/CD helps maintain the application's overall sync from the source code to the release.
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 2021. The future of this organization depends on the technical capabilities of the testers, people of the operation, and mainly developers.
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 2021, DevOps will include security. As organizations implement DevSecOps, they adapt associated tools to their needs. In 2021, the following features are likely to be an essential part of the evolution of DevSecOps solutions and practices.
Improved Visualization of Security Data
Focus on Data and Database Security
Adopting Serverless Architecture
If you adopt a devops approach in your organization, then serverless will work as a secretary for you by managing infrastructure per demand received. Those who are already operating in the cloud are working with pipelines for managing components. Moving these services to serverless enable teams to eliminate some burden of managing the Infrastructure and focus on development.
This concept is valuable for the team that is just shifting or looking to switch to DevOps practices. As productivity increases, the serverless service scales the Infrastructure smoothly with negligible efforts. One more benefit of the adoption of serverless is that it enables automation. This Infrastructure is flexible, and you can use Infrastructure as Code to automate the infrastructure modification. One downside of serverless is that your team will not have visibility into the functioning of the Infrastructure but allows monitoring. But somehow, the serverless will continue to support and empower DevOps culture this year.
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 2021. 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 2021, 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.
Kubernetes is the open-source solution for container management that Google develops. Nowadays is the de facto standard for container orchestration. It is an orchestrator that creates and manages your applications over the cluster of servers. The process of building applications, deploying applications, and managing applications become very efficient when you adopt the kubernetes concept.
Kubernetes allows organizations to run applications within containers in distributed manners. Kubernetes is essential for DevOps teams looking to automate, scale, and build resiliency into their applications while minimizing the infrastructure burden.
The duty of DevOps in kubernetes is to set up the environment and maintain the environment. This includes containerizing the application, deploying applications over k8s clusters, and maintaining the cluster so that all applications must work properly. Kubernetes allows developers to share their work with the IT operation team. There is one more concept called Helm, which works as a package manager for kubernetes. Helm works over the kubernetes concept, but the main benefit of the helm is that it provides packaging of manifest files at one location and promotes modularity at the same time. Kubernetes is expanding the culture of containerization, and it will continue to grow in 2021.
A Holistic Strategy for 2021
DevOps enters the second decade, and there is no doubt that this approach will remain in trend. It provides an automation layer by taking away human efforts. Because this helps businesses tackle and succeed in the market by delivering products rapidly and maintaining the quality of the product, devOps is the part of digital transformation, so that DevOps will be the deployment choice for the companies. It will help organizations to save money along with the product quality. Organizations will experience the real potentials of DevOps.
Devops won't only impact the end-user but also companies and their internal process.