Best DevOps Deployment Tools

DevOps deployment tools are all the rage. And for good reason. With this (relatively) new practice, companies can achieve unprecedented levels of automation. Once your company reaches this new technological nirvana, it will be more agile, more reliable, and able to deliver results faster and more frequently.

But implementing DevOps is not the easiest step to climb. In fact, it is quite challenging. Fortunately, there are many tools available to make DevOps possible. You can't achieve DevOps without bringing some of these tools together. Additionally, your team will have to achieve a high level of collaboration and communication (so it's not just about the software).

Before we get into the tools, we need to take a step back and define the objective.

What is DevOps?

As the name implies, DevOps development teams take the “development” and “operations” teams and mix them together so they work in a highly collaborative way. The goal of DevOps is not just collaboration, it's about shortening the development lifecycle and providing Continuous Integration and Continuous Delivery (CI/CD).

What is CI/CD?

This is another definition we need to get out of the way. CI/CD bridges the gaps between Dev and Ops to enforce automation in building, testing, and deploying applications.

Therefore, between DevOps and CI/CD (check out the pros and cons of CI/CD pipelines), you not only shorten the development lifecycle, but also automate a large part of the process. Once these systems are implemented, you will find that your software development lifecycle will be shorter, more reliable, and more accurate.

That said, let's take a look at some of the tools you'll need to make this happen.

What are the best tools for DevOps deployment

In today's fast-paced digital landscape, successful software deployment requires a seamless combination of development and operations. Leveraging the right DevOps tools can make all the difference between an efficient, streamlined process and one fraught with obstacles and downtime. But with a multitude of tools available, how do you discern which ones are really the best? We'll discover their unique strengths, how they contribute to accelerating deployment cycles, and why industry-leading companies around the world trust them.

#1 Git

All DevOps starts with the distributed source code management tool, Git . Git is used for collaboration, tracking and planning and is one of the main tools for DevOps. Git will serve as your code repository with which many of the other pieces of the DevOps puzzle will communicate.

Think of it this way: Git is the centralized hub that all other DevOps tools “report” to. You will deploy automation tools that constantly check in with Git, and when these tools detect a change to the code hosted in the Git repository, they will work to inspect, build, and deploy the code. Without Git in place, implementing automation would be a challenge.

#2Jenkins

Jenkins is an open source continuous integration server that helps you automate committing code to your repository. Code is committed using the Pipeline feature, which can not only commit code automatically but also run test cases and fetch reports after testing is complete.

Jenkins development companies are very important for DevOps and CI/CD because they constantly check commits and as soon as they detect one, they trigger a new build. Jenkins can help significantly reduce deployment time.

#3 Docker

At the heart of CI/CD are containerized applications. One of the easiest tools for this is Docker . When you use Docker containers, you develop applications that can be deployed in virtually any environment. Not only that, but it ensures that the development environment is the same across all platforms for developers. This makes DevOps not only possible, but considerably easier.

#4 Ansible

Ansible is an open source software provisioning, configuration management, and deployment platform. You'll need Ansible not only to deploy new machines, but also to push changes to systems in your network. Ansible can help speed up the software deployment feedback cycle, make it easier/faster for your developers to discover (and fix) bugs in the system, limit the risk of tribal knowledge, and drastically reduce deployment time.

#5 Kubernetes

If your application grows beyond a single container, you'll need ways to orchestrate it. No other tool is better at this than Kubernetes . And with Kubernetes, you can achieve an incredible level of container build/deployment automation, which means it's the ideal solution for DevOps. When deployment at scale is crucial to the success of your business, Kubernetes will be essential.

#6 Tramp

If your DevOps solution involves virtual machines (which it probably will), you'll need Vagabond to manage them. With Vagrant, your development and operations teams can share virtual environments and test applications without having to worry about provisioning bare metal servers.

#7 Sentinel

You will need to make use of Sentinel for the automation of error and bug detection. Sentry runs in the background, checking your code repository and sending notifications if/when it finds an issue. Even better, Sentry offers solutions to the problems it discovers. Sentry goes a step further and performs performance monitoring on deployed applications.

With Sentry in place, your application lifecycle will not only be more reliable, but you will also be better able to react to issues as they arise.

#8 Graduation

Speaking of automated building, you'll need a tool like Gradle , which handles the automation of building, testing, and deploying the application code found in Git. With Gradle, your developers can write in Java, C++, Python, or any language they choose.

To use Gradle, you must have the Java Development Kit (JDK) installed and understand the Groovy-based domain-specific language (DSL). Gradle also includes a vast ecosystem of plugins and integrations, so your developers can automate whatever they need.

Conclusion

Your journey with DevOps deployment tools will be challenging at first because you are thinking about making and investing in a drastic change in how your department works. But with the right tools, you can evolve your software deployment and lifecycle management to an automated level that will help your company better compete in the modern era, and with machine learning DevOps coming into the pipeline, every team they need to reevaluate how they do things. .

If you liked this, be sure to check out our other DevOps articles.

• Azure DevOps Consulting
• What companies need to know about ChatOps
• Continuous delivery best practices for successful projects
• The role of continuous delivery in accelerating software releases
• Mastering Continuous Integration for DevOps: A Comprehensive Guide