The DevOps Drives IT departments are encouraged to collaborate with developers, sysadmins and testers through DevOps. It improves defect detection and delivery, as well as deployment rates. Technology leaders are realizing that DevOps is more than just an organizational change. “Doing DevOps” involves more than just changing processes or simplifying workflows among departments. There will not be a single DevOps tool that does everything.
DevOps Tools Adoption
Software development is not possible without the right tools. The same applies to DevOps. You can always benefit by the right tools. These tools facilitate information sharing, process automation and reduce deployment time. They also allow for continuous deployment. Continuous integration, containerization tools, and configuration management platforms are the most popular DevOps tools. Continuous integration tools automate testing and feedback and create a document trail. These tools are used to quickly identify and fix defects in the code base. These tools can be used to track and control software changes. These tools extract the infrastructure components from code to automate software delivery. Other tools can be used to standardize builds, increase collaboration between developers, sysadmins or monitor systems.
5 Composition Of DevOps Tools
DevOps tools are classified into five categories depending on their purpose at that stage of the DevOps cycle.
- Continuous Integration: Jenkins, Travis, TeamCity
2. Configuration Management: Chef, Ansible and Puppet
3. Continuous Inspection: Sonarqube, HP Fortify, Coverity
4. Containerization: Vagrant or Docker
5. Virtualization: Amazon EC2, VMWare and Microsoft Hyper-V
Continuous Integration Tools
Jenkins Jenkins, an open-source continuous integration system written in Java, is Jenkins. It aids developers in developing and testing software and monitors external jobs like cron jobs or procmail jobs. It improves automation and is rapidly gaining popularity within DevOps circles. Jenkins is easy to use and requires very little maintenance. It also has a GUI tool that allows for quick updates. Jenkins offers a customized solution with over 400 plugins that can be used to build and test virtually any project.
TeamCity
TeamCity (TC), a powerful, all-in-one extensible and continuous integration server, is the key. The platform was written in Java and is available via the JetBrains. There are 100 plugins that can be used to support the platform in different languages and frameworks. TeamCity is easy to install and comes with different packages depending on the operating system.
Travis
Travis CI, an open-source distributed continuous integration service that is hosted on GitHub, allows you to test and build projects. Travis CI can run tests on different machines using different software.
Configuration Management Tools
Puppet Labs
Puppet is undoubtedly the most popular of these configuration management systems. Organizations that were driven by DevOps people will prefer Puppet because of its simple declarative programming language and easier learning curve. Although the Web UI is great for managing, it does not allow for flexibility in the configuration of modules. The reporting tools provide detailed information about agents’ behavior and the changes made.
Chef is a system and cloud infrastructure framework. It automates the building, deployment, and management infrastructure using short scripts called “recipes.” This Ruby-driven platform offers more flexibility than Puppet. Chef is a popular choice for organizations that have more DevOps programs.
Ansible
Ansible, built on Python, allows for multi-node software deployment and ad-hoc task execution. It also provides configuration management. Ansible works best with a large or homogenous infrastructure. It employs an agentless architecture. Ansible can run directly from the command line. It does not require configuration files to perform simple tasks such as checking if a service is running or to trigger updates and restarts.
Continuous Inspection Tools
Sonarqube
SonarQube is the central location to manage code quality. It provides visual reporting across projects and allows you to replay past code to see how metrics have changed. Although it is written in Java, it can analyze code in approximately 20 programming languages.
HP Forify
The HP Fortify Static Code Analyzer is used to verify the software’s authenticity, decrease costs, increase productivity, and implement safe coding practices. It scans the source code and identifies security flaws. This provides line-of code guidance to close security gaps.
Containerization tools
This containerization tool is used by DevOps teams as an open platform. It makes it easy for developers and sysadmins alike to push code from development into production, without having to use different environments or clashing environments throughout the application’s lifecycle. Docker’s containerization technology allows applications to be portable. Applications run in self-contained units which can be moved between platforms. It provides standardizations that keep operations people happy, and flexibility to use almost any language or tool chain to satisfy the development team.
Vagrant
Vagrant, an open-source product that manages Virtual Machines (VMs), is called Virtual Machine Manager. It’s a great tool that allows you script and package the VM configuration and the provisioning setup. You can have multiple VMs with their own configurations managed by puppet and/or Chef.
Virtualization Tools
Amazon EEC2
Amazon Elastic Compute Cloud, or Amazon EC2, provides virtualization through scalable computing in the Amazon Web Services cloud. Amazon EC2 reduces capital expenditures by eliminating upfront hardware costs. Virtual servers can be used by businesses to manage storage, security, networking, and network.
VMWare
VMWare offers virtualization via a variety of products. Its product, vSphere, virtualizes server resources and provides critical capacity and performance management capabilities. VMWare’s Virtual SAN and NSX virtualization provide network virtualization as well as software-defined storage.
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