This project was developed to showcase the automated deployment of a Kubernetes cluster on DigitalOcean, employing Terraform for infrastructure provisioning and GitOps practices for configuration management.

• Automated Kubernetes cluster on DigitalOcean using Terraform and Flux CD, integrating Vault, Kong ingress with TLS and Prometheus stack for monitoring
• It demonstrates my expertise in deploying a secure, observable Kubernetes cluster using modern DevOps methodologies
• it integrates various cloud-native technologies and follows best practices to create a high-quality infrastructure solution

Roadmap.sh DevOps challenges provide practical projects from basic server setups to advanced deployments, which I often extended by experimenting with my own approaches or tools to further hone my skills

• 🔭 My Roadmap.sh Repository

• Highlighted Challenges:

  • Automated-Backups: Proud of my clever pipeline design using the dorny/paths-filter action to skip jobs, reducing execution time
  • Dockerized-Service-Deployment: Utilized a distroless image and implemented caching in the GitHub Actions pipeline to reduce execution time
  • Several other intermediate challenges that I extended further honing my DevOps skills

• Manage Kubernetes clusters on Amazon EKS as part of a Cluster-as-a-Service team, providing infrastructure for application teams.
• Operate and troubleshoot Terraform pipelines in GitLab for cluster provisioning and upgrades.
• Collaborate with the DevOps team to maintain and improve Terraform modules.
• Handle Kubernetes manifests for internal cluster-specific tools.
• Coordinate with AWS support to resolve infrastructure-related issues.
• Monitor cluster health using Datadog, creating alerts and dashboards for visibility.
• Optimize monitoring coverage while reducing Datadog costs.
• Enhance team efficiency by developing CLI scripts to streamline routine tasks.
• Work closely with application teams to address cluster-related needs and ensure reliable Kubernetes environments.

• Ownership of monitoring systems and client communication.
• Managed on-premise Linux systems, Oracle databases, and Java applications.
• Supported the transition to Docker-based microservices and early-stage Kubernetes on OpenShift.
• Automated a complex, error-prone manual process using an internal tool, reducing execution time from one hour to a few minutes.
• Maintained and troubleshot Jenkins pipelines, contributing to permanent solutions.
• Configured Prometheus and created advanced Grafana dashboards for monitoring.
• Improved system observability with Nagios by creating custom bash scripts.
• Collaborated with international clients (Dominican Republic, Colombia, and Argentina).
• Provided ad hoc SQL reports for client-specific requests like data integrity checks.

• Provided technical support for on-premise Linux systems, Oracle databases, and Java applications (Apache, Tomcat, and Oracle WebLogic).
• Automated routine tasks using Bash and Python scripts scheduled with cron, improving efficiency.
• Extended Nagios monitoring by creating custom scripts for system checks not covered by default.
• Maintained high SLAs by resolving tickets promptly and collaborating with 2nd line engineers and developers.
• Documented monitoring procedures and standard operating workflows to facilitate knowledge sharing across the team.