DevOps Practices at Oracle

As a DevOps engineer at Oracle, I've had the opportunity to implement and refine various DevOps practices. In this post, I'll share some key insights from my experience.

CI/CD Pipeline Implementation

One of my primary responsibilities has been setting up and maintaining CI/CD pipelines for Oracle Labs' Data Studio, AutoMLx, and Compass. We use a combination of Jenkins, Docker, and Kubernetes to automate our build, test, and deployment processes.

Our typical pipeline includes:

Code checkout from Git
Building the application with Gradle
Running unit and integration tests
Static code analysis with SonarQube
Building Docker images
Deploying to Kubernetes

Infrastructure as Code

We manage our infrastructure using Terraform and Ansible. This allows us to version control our infrastructure and apply the same principles we use for application code to our infrastructure.

Monitoring and Observability

For monitoring, we use Prometheus and Grafana to collect and visualize metrics. This gives us insights into system performance and helps us identify issues before they impact users.

Conclusion

DevOps is a journey, not a destination. We're constantly learning and improving our processes to deliver better software faster.

In future posts, I'll dive deeper into specific aspects of our DevOps implementation at Oracle.