DevOps Tools: Automation, CI/CD, ML
DevOps uses automation, CI/CD, ML to speed up the software development process. DevOps is a process of combining development and IT operation tasks. It helps to stabilize the process and reduce the communication gap. Businesses are implementing automation in DevOps keeps the process faster, frequent analysis helps deliver quality software, and machine learning helps predict the future.
DevOps does some core tasks to ensure constant and quality software release. First, it creates a collaboration between the team members. Next, it automates as many tasks as possible. Then it monitors the whole process. At last, it shares responsibilities and information among the teams. Here are some tools that DevOps use to implement automation, CI/CD, and ML successfully.
Automation
Popular automation tools are Puppet, Docker, Jenkins, Bamboo, Chef, etc.
Tools like Puppet and Chef are used to configure management systems. Puppet specifies the desired state while the Chef specifies how to achieve it. Jenkins is an open-source automation tool and offers various plugins to automate the process. Docker automates the deployment process of the software. From builds to deployment, Bamboo automates the whole delivery pipeline. There are also many other automation tools like Vagrant, Kubernetes, Buddy, Gradle, Raygun, Overlaps, etc.
CI/CD
The most used CI/CD tools are Jenkins, TeamCity, Bamboo, GitLab CI, etc.
When developers commit the code, Jenkins checks and pulls them to create a new build. Bamboo works similarly to Jenkins, but most of them are only available for premise hosting. GitLab CI is continuous integration, delivery, and deployment tool to determine the programming language. TeamCity is a CI product that uses an agent-based system to create builds. Some other most popular CI/CD tools are CircleCI, Buddy, License, GoCD, Wercker, semaphore, Nevercode, and many more.
Machine Learning
DevOps uses Machine Learning to continuously monitor pattern changes, predict the future, and secure the process. For security issues, developers use tools like Codacy, SonarQube, Logz.io, etc.
Codacy analyzes and spot style violations and duplication that may impact code security. SonarQube is similar to Codacy. It integrates with systematic analysis tools to ensure continuous code testing. Logz.io provides an analytical solution using a built-in analytical interface, reporting, and integrations. To monitor, DevOps uses some other tools like Prometheus, Nagios, and Sensu Go.
DevOps is a modern process of handling both developers and operators. Businesses use software to ensure the quality of software and deliver them on time. Implementing automation, CI/CD, and ML has made it possible to take the DevOps team on to the next level.
