Introduction:

Hello everyone, I am exploring DevOps for months. DevOps is an automated industry. oftentimes we used multiple tools to handle our project. in this DevOps journey every day I am exploring and getting familiar with some of the amazing tools, that are helping me with my project, today I am going to tell you about one of those tools, which is "Datree".

What is Datree?

before understanding what is Datree first I will tell you about what is its use cases, for example, if you are running your application by using Kubernetes cluster, it's working flawlessly, and everything is good but your respective client wants you to make some changes in Kubernetes configuration as per his needs so We made some changes and we again put its server. but as soon as you put those config files for production you got errors in that configuration and it causes failure of your production.

Wouldn't it be nice if some tool can check your Kubernetes configuration Manifest files and give you all those misconfigurations before it reaches production? Introducing you Datree.

How Datree does do that?

1. First of all, you made some changes in Kubernetes manifest files then you push to the GitHub repo.

2. Datree runs checks on Kubernetes manifest files, and it checks if there are any Misconfigurations in Kubernetes? and whether would it cost Failure or production.

3. Datree gives us all misconfigurations that are in our manifest files.

Cool-Stuff about Datree!

1. Datree checks 100+ built-in rules of Kubernetes Configuration files. if you are checking all of those rules manually, it will cost a large amount of time.

2. Meanwhile, you can customize all of those rules. you can add your own rules.

3. Policy management: You can add your policies on manifest files.

4. Datree gives you a Dashboard where you can track all of your Misconfiguration. you can do changes to that misconfiguration. The cool stuff is that all of the changes that you are you are doing on the dashboard will appear in the GitHub repository.

Checking flow of Datree:

1. checks YAML validation: checks that your file is written in clean Yaml language.

2. checks Kubernetes schema validations

3. checks Policies: Check built-in policies along with your additional policies.

   isn't it logical to check Yaml validation before policies, how can you check policies on files which is not written in a readable manner?

Policy Sharing:

When you are working on Project with your team. everybody should be able to work on the same Yaml files. using datree you can do that, you can share your own policies among your teammates.

How?

1. Publish your Yaml config files, that contain all of your rules.

2. Now you share this config file with your teammates and communities.

3. Now your teammate can get this Yaml config file, they can use your policies, or they can add their policies.

4. After confirmation, publish your config file.

Datree along with Integration:

Integrations

Incorporating Datree into the most widely-used k8s tools has never been easier!

• Github action

• Kubectl plugin

• Drone plugin

• CircleCI orb

• Tekton task

• Codefresh plugin

• Helm plugin

• Kustomize support

• Git hooks

• Pre-commit hook

• Admission webhook

If you want to add any of your integration you add it on their GitHub repo! #opensource.https://github.com/datreeio/datree/issues.

Conclusion:

In conclusion, ensuring the reliability and stability of Kubernetes configurations before they reach production is paramount for any DevOps team. With the growing complexity of microservices and cloud-native applications, even a small misconfiguration can have a significant impact on the entire system.

In this article, we explored how Datree, an indispensable DevOps tool, can help us detect and prevent configuration mistakes in Kubernetes before they cause havoc in our production environment. By seamlessly integrating Datree into our CI/CD pipelines, we can automatically validate configurations against best practices, industry standards, and our organization's specific policies.

Datree empowers developers and DevOps engineers to take a proactive approach in mitigating risks, ensuring compliance, and improving overall application stability. Its intuitive interface and customizable rule sets make it easy to adapt to our team's unique requirements and streamline the development process.

With Datree's ability to catch potential issues early on, we can confidently deploy changes, knowing that our Kubernetes configurations are robust and production-ready. Embracing Datree as part of our DevOps workflow will not only reduce the likelihood of costly mistakes but also lead to a smoother and more efficient deployment process.

As we strive for continuous improvement in our software delivery pipeline, leveraging cutting-edge tools like Datree sets us on a path toward a more reliable, secure, and resilient infrastructure. Let's adopt Datree today and safeguard our Kubernetes environments, ensuring a seamless journey from development to production and beyond. Happy coding and deploying!