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10 best DevOps tools to love in 2019 - Tinkerware

The union between Development and Operations brings new perspectives of software development. If you want to start DevOps practices it can be a opportunity to know which tool is best for your team.

We create this list to help you to analize on which tools should be part of your stack. Take a look at the 10 best DevOps tools, from automated build tools to application monitoring platforms.

  1. Gradle

gradle

The firt one for you DevOps tool stack will be a reliable build tool called Gradle that will be released in 2009. Gradle is an incredibly versatile tool which allows you to write your code in Python, C++, Ruby, Java, Go, or other languages.

In 2016, Gradle released a Kotlin-based DSL, now you can write your build scripts in Kotlin. This means that Gradle does have some learning curves, it can help you a lot if you have used Groovy, Kotlin or another JVM language before.

One of the best things about Gradle is the incremental builds. According to Gradle’s performance measurements, it’s up to 100 times faster than Maven. This is in part because of incrementality, but also due to Gradle’s build cache and daemon. The build cache reuses task outputs, while the Gradle Daemon keeps build information hot in memory in-between builds.

At the end Gradle allows faster shipping and comes with a lot of configuration possibilities.

  1. Git

git

It’s a distributed SCM (source code management) tool. Git allows you to track the progress of your development work and save different versions of your source code and return to a previous version when necessary. You can create separate branches and merge new features only when they’re ready to go.

To integrate Git with your DevOps workflow, you also need to host repositories where your team members can push their work. Currently, the two best online Git repo hosting services are GitHub and Bitbucket. GitHub is more well-known, but Bitbucket comes with free unlimited private repos for small teams (up to five team members). With GitHub, you get access only to public repos for free—which is still a great solution for many projects.

  1. Buldbot

buildbot

Buildbot is a continuous integration framework that offers tremendous amounts of flexibility. Buildbot was designed primarily as a way to automate build testing across a wide array of platforms.

Buildbot's configuration is written entirely in Python. This means that the configuration tends to be significantly more complex than other systems but administrators have more scope to design their ideal workflow and process. Buildbot positions itself as a framework with tools to build your own custom processes, comparable to how web frameworks allow you to build custom sites.

Its architecture allows users to easily submit workers with their preferred platforms to projects to expand the available test base. The user only needs to install a few Python packages on the system and then provide the credentials to the project.

  1. Bamboo

bamboo

Bamboo has many similar features to Jenkins, is Atlassian’s CI/CD server solution. Both allow you to automate your delivery pipeline, from builds to deployment. Bamboo comes with a price tag.

Bamboo integrates with other Atlassian products such as Jira and Bitbucket. You also have access to built-in Git and Mercurial branching workflows and test environments. Bamboo can save you a lot of configuration time and it also comes with a more intuitive UI with tooltips, auto-completion, and other handy features.

  1. Docker

docker

Docker is one of the most important DevOps tools out there. Docker has made containerization popular in the tech world, mainly because it makes distributed development possible and automates the deployment of your apps. It isolates applications into separate containers, so they become portable and more secure. Docker apps are also OS and platform independent. You can use Docker containers instead of virtual machines such as VirtualBox.

Docker integrates with Jenkins and Bamboo, too. If you use it together with one of these automation servers, you can further improve your delivery workflow. Besides, Docker is also great for cloud computing. In recent years, all major cloud providers such as AWS and Google Cloud added support for Docker. So, if you are planning a cloud migration, Docker can ease the process for you.

  1. Kubernetes

kubernetes

Kubernetes it’s a container orchestration platform that takes containerization to the next level. It works well with Docker or any of its alternatives. It was founded by a couple of Google engineers who wanted to find a solution to manage containers at scale. With Kubernetes, you can group your containers into logical units.

You don’t have to tie your containerized apps to a single machine. Instead, you can deploy it to a cluster of computers. Kubernetes automates the distribution and scheduling of containers across the whole cluster.

  1. Puppet Enterprise

puppet

Puppet Enterprise is a cross-platform configuration management platform, allows you to manage your infrastructure as code. As it automates infrastructure management, you can deliver software faster and more securely. Puppet also provides developers with an open-source tool for smaller projects. Puppet Enterprise’s extra features, such as: Real-time reports, Role-based access control and Node management.

Also you can manage multiple teams and thousands of resources. It automatically understands relationships within your infrastructure. It deals with dependencies and handles failures smartly. When it encounters a failed configuration, it skips all the dependent configurations as well. Puppet has more than 5,000 modules and integrates with many popular DevOps tools.

  1. Ansible

ansible

Ansible is a configuration management tool, similar to Puppet and Chef. Its main selling points compared to other similar DevOps tools are simplicity and ease of use. Ansible follows the same Infrastructure As Code (IAC) approach as Puppet. Ansible uses the super simple YAML syntax. With Ansible, you can define tasks in YAML, while Puppet has its own declarative language.

Agentless architecture is another frequently mentioned feature of Ansible. As no daemons or agents run in the background, Ansible is a secure and lightweight solution for configuration management automation. Similar to Puppet, Ansible also has several modules.

If you want to better understand how Ansible fits into the DevOps workflow take a look at this post by the Red Hat Blog. It shows how to use Ansible for environment provisioning and application deployment within a Jenkins pipeline.

  1. Nagios

nagios

Nagios is an open source DevOps monitoring tools. It allows you to monitor your infrastructure. You can keep records of events, outages, and failures. You can also keep an eye on trends with the help of Nagios’ graphs and reports. This way, you can forecast outages and errors and detect security threats.

Nagios stands out due to its rich plugin ecosystem. As Nagios has been around for a while (since 2002), there’s a vast community around it. Besides plugins, they also make add-ons, tutorials, translations, and other goodies—all for free.

On the whole, Nagios provides DevOps teams with an infrastructure monitoring solution.

  1. Raygun

raygun

Raygun is a monitoring and crash reporting platform. Raygun’s DevOps tool helps you diagnose performance issues and tracking them back to the exact line of code, function, or API call. The APM tool fits well with Raygun’s error management workflow.

Raygun APM can help you make the most out of other DevOps tools, as you are always notified about the problems. Raygun brings Development and Operations together by providing one source of truth for the whole team the cause of errors and performance problems.