In this hands-on course, you’ll go beyond theory and walk through a complete end-to-end DevOps project — from provisioning infrastructure on AWS EKS to building a CI/CD pipeline with Argo CD, and implementing production-grade observability with Fluent Bit, Splunk, Prometheus, Grafana, and OpenTelemetry.
Whether you’re aiming to become a DevOps engineer/SRE, learn Kubernetes the practical way, or showcase a solid DevOps portfolio project to land job interviews — this course will help you stand out.
What You’ll Build:
- A fully deployed Ghost blog application on Amazon AWS, Kubernetes/EKS with persistent storage and GitOps-powered delivery.
- Fluent-bit logging pipeline: Ghost application logs streamed via Fluent Bit, transformed, and visualized in Splunk.
- Live dashboards in Grafana using Prometheus and OpenTelemetry metrics.
- A CI/CD workflow powered by GitHub, Helm, and Argo CD.
- Realistic alerts sent to Slack — just like in production!
Technologies You’ll Use:
- Kubernetes (EKS) on Amazon AWS
- Docker, Helm, and GitHub
- ArgoCD for GitOps-based deployments
- Prometheus, Grafana, and custom Grafana dashboards
- Splunk, Fluent Bit, and OpenTelemetry for logging and observability
- Git for version control workflows
By the end of this course, you’ll be able to:
- Set up and deploy Kubernetes apps using modern DevOps tools
- Design and automate CI/CD pipelines with Argo CD
- Monitor and troubleshoot microservices using observability best practices
- Deploy real-time logging and metrics dashboards
- Confidently speak to DevOps architecture and tools in interviews






