Why DevOps Is Important
What is DevOps is a simple words, is a combination of the terms development and operations, to increase an organization’s ability to deliver applications and services faster than traditional software development processes.
Companies that incorporate DevOps practices get more done, plain and
simple. With a single team composed of cross-functional members all
working in collaboration, DevOps organizations can deliver with maximum speed, functionality, and innovation.
The DevOps model relies on effective tooling to help teams rapidly and reliably deploy and innovate for their customers. These tools automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps.
Benefits of DevOps
In the development stage, a specific team will plan and code the new application or solution. It occurs after feedback from the operations team, involving the choice of modules and algorithms to be used. After planning, it is time to code.
At this stage, tools such as Git, Jira and Confluence are often used by developers. Basically, the team defines the codes to get the algorithms off the ground.
Before we implement new code in operations, it is very important to do a test to identify possible bugs or performance problems, right? The best way to do this is through automation. There are many tools for this, such as Selenium, TestNG and JUnit. With them, we streamline all of these processes, reduce errors and improve application performance.
This is the most important part of DevOps. This phase involves feedback from the operations team to the development team, in addition to the integration of the testing stage and the implementation of new systems. The tools that stand out the most are: Jenkins, Hudson and Bamboo. They help to keep the entire DevOps structure upright.
It is at this moment that the action takes place. The operations team must implement all new applications that have been previously developed and tested.
Management tools, such as Puppet, Chef and Ansible, help to implement releases on servers, schedule updates and maintain consistency of settings. On the other hand, containerization tools, such as Docker, eliminate the possibility of errors or failures in the production environment.
Monitoring is an important phase not only to detect bugs that may have gone through the testing stage, but also to send feedback to the development team, who can help you avoid problems in the future. Splunk, Nagios, Datadog and NewRelic are some tools that will help you in this step. Thus, you optimize the results as much as possible.
Move quickly while retaining control and preserving compliance. You can adopt a DevOps model without sacrificing security by using automated compliance policies, fine-grained controls, and configuration management techniques. For example, using infrastructure as code and policy as code, you can define and then track compliance at scale.