Best DevOps Open Source Tools
Best DevOps Open Source Tools

The Best Open Source Devops Tools

Best DevOps Open Source Tools

The Best Open Source Devops Tools

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There are several great open source devops tools available to software engineers. Among them are Chef, Jenkins, Packer, and Ansible. Read on to learn more about each. Having a good understanding of these tools will greatly aid your software development efforts. Choosing the right one will allow you to achieve a better workflow, and increase your chances of success. Also, you can make the most of your time by utilizing the available tools for your own personal use.


Ansible is a lightweight IT automation tool that manages IT infrastructure and can perform a number of tasks, including cloud provisioning, configuration management, application deployment, intra-service orchestration, and more. Ansible is designed for multi-tier deployments and enables developers to create automation jobs in plain English. Because of its simplicity, it is perfect for both developers and non-technical people.

Ansible works by connecting to the nodes on the cluster, and executing a small program called an Ansible module. These modules run on managed nodes, identifying their state, and removing them when they’re done. To set up and manage the cluster of nodes, you must grant access to Ansible and use SSH keys. Ansible can also use other authentication methods, such as key management systems and password-based authentication.

Besides being an open source development tool, Ansible is also very customizable. You can write modules in any language and plug in any data source. Ansible can automate different types of networks and infrastructure with its agentless automation framework. Its data model, which is separate from the automation engine, spans different types of network hardware and configuration. This flexibility makes Ansible one of the best open source development tools available.

Ansible has a large number of built-in modules. If you have a specific need for a particular type of system, you can create a custom module and use it. Another benefit of Ansible is its ability to share playbooks with other users. In addition to this, Ansible has several useful modules and role-based sharing capabilities. The playbooks are comprised of one or several plays. A playbook maps a set of hosts to well-defined roles and tasks.


If you’re a developer and need a server management tool that can manage your infrastructure, Chef is the tool for you. Chef offers a Web-based management console and includes a declarative configuration language called Ruby DSL. This language is meant for advanced developers, but it is also suitable for beginners. Because it uses a command line interface, you’ll need a programming background and a willingness to learn.

Among the many features of Chef, perhaps its greatest strength is its ability to manage cloud software, storage, and servers. Because it is so customizable, it’s great for large deployments. On the downside, it’s not as easy to use as some other tools. But if you’re a developer who uses cloud infrastructure often, you’ll love this tool. It allows you to automate many tasks that would otherwise require a developer to spend hours writing code.

The software is cross-platform. Both Chef server and client products are available for many platforms. Chef clients support AIX, Amazon Linux, Debian, FreeBSD, macOS, Solaris, Microsoft Windows, and SUSE Linux. Chef servers support Oracle Linux, Red Hat Enterprise Linux, SUSE Linux, Ubuntu, Fedora, and RHEL/Center. Both the clients and servers use Chef for different tasks.

With its extensive set of features, Chef has a strong community. Its developers are employed to develop it, so it is hard to find a developer with a more powerful skill set. Because of this, Chef is a strong contender among open source development tools. Its open source code ensures that it stays up-to-date and has a large base of configuration recipes and modules. Moreover, the SaaS version offers analytics and reporting features.


If you’re using Jenkins for your continuous integration, continuous delivery, and other software development tasks, you’re on the right track. This open source, Java-based automation server supports over 100 plugins and integrates with nearly every popular CI/CD toolchain. Jenkins runs on any major platform and has an intuitive, user-friendly web interface with built-in error checks. Its features include:

Another great feature of Jenkins is its ability to scale and customize your CI/CD pipeline. It runs natively on Windows, Mac OS X, and Linux, and is easily installed using Docker. Its web interface makes configuration easy. If you’re a first-time user, you can choose to install using plugins or create a custom configuration. If you’re not sure how to get started with Jenkins, you can read our full review of the tool.

Another excellent DevOps tool is Git. This distributed version control system (SCM) tool is loved by remote teams and open-source contributors alike. Git lets you track your development work by saving multiple versions of the same code and merging them together when you’re ready to roll out new features. Git also allows you to experiment by using separate branches and merging them when they’re ready.

While a lot of open source DevOps tools have been acquired by larger companies, Jenkins has remained independent of vendors. Using vendor-neutral open source tools can help future-proof your project. Remember, open source is free – but you need to make sure the benefits outweigh the time and operational overhead. So why not use Jenkins for your next project? You won’t regret it.


One of the most powerful features of Packer is its ability to create image files for a variety of platforms. This is helpful when you’re creating a demo appliance or other disposable product. Packer can build an image for a specific OS and can bundle applications together in it. As it builds these images, you can easily deploy them to the environment of your choice. However, if you’re using an old operating system, you’ll need to manually install the software yourself.

Another benefit of Packer is its ability to create machine images in multiple platforms. You can use this to create a multi-cloud environment for your development and staging environments. You can also use Packer to install all the necessary software in your machine. Furthermore, it also helps you detect bugs and other issues early on, so you can fix them as they occur. There are many other ways Packer can help you, but these are a few of the most popular.

Packer is also great for creating images in multiple environments. By enabling you to create images in different clouds, you’ll be able to reduce the time you spend managing images. Packer incorporates customization scripts into its image creation, which speeds up the VM deployment process. Additionally, Packer automates the management of templates and Windows updates. It can even be run as a scheduled task.

Another major advantage of packer is that it can protect files, data, and applications. In addition to protecting your data and applications, packers are an excellent resource for hackers. Packers obfuscate file code, making it difficult for malware to locate them on your system. Many packers make use of common algorithms and others use custom code to prevent detection. Knowing the most popular packers available will give you an edge in detecting malware.


SonarQube is a free and open source software that is used to analyze source code and report on code quality. It is able to drill down to each layer of code to identify problems and highlight possible fixes. This software helps reduce risk of code misinterpretation and enhances application security. It provides feedback for code review and reduces technical debt by highlighting problematic code areas. It supports 27 different languages.

If you’re an open source developer, you’ve probably heard about SonarQube. This open source software identifies code quality problems and code complexity. The tool uses a McCabe cyclomatic complexity calculation to tell you how complex your code is. If you’ve ever written code that looks like spaghetti, SonarQube can help you find problems and propose solutions.

After installation, you should install SonarQube on your development system. It can be installed on Windows, Linux, and Mac. It comes with a lovely user interface. Once installed, you can login to SonarQube’s dashboard at http://localhost:9000 and select the project you just created. A report will appear. The software is easy to use, but it does require some time to integrate with your project.

Another free option is Codacy. This static code analysis tool checks code for coding quality problems and errors. It provides feedback on every commit and blocks pull requests that are not approved. It supports over 30 different programming languages and integrates with source code tools. It also provides security and quality checks for code, saving developers time during code reviews. So, if you’re working on an open source project, this is an excellent tool to check out.

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