English | Size: 1.02 GB
Genre: eLearning
Build a Real DevOps Project on AWS EKS | Kubernetes, Docker, ArgoCD, FluentBit, Splunk, Prometheus, Grafana, and GitOps
What you’ll learn
Understand the core concepts of GitOps and how it streamlines Kubernetes application delivery.
Automate application deployments in Kubernetes with ArgoCD
Build and deploy a production-ready logging pipeline using Fluent Bit, Splunk, AWS EFS, and EKS.
Create, manage, and customize Helm charts for different Kubernetes workloads and use cases.
Create and manage Helm-based Kubernetes applications with Argo CD.
Use GitHub as a remote repository through bash command line
Implement real-time dashboards and alerts using Splunk to monitor Kubernetes workloads.
Clean up and optimize your Kubernetes environment to reduce AWS costs and prevent resource waste.
Gain confidence to troubleshoot, upgrade, and scale Argo CD-managed applications in real-world scenarios.
Are you ready to level up your DevOps skills and build a real-world DevOps project using modern tools and cloud-native best practices?
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
This course is ideal for aspiring DevOps Engineers, SREs, and developers looking to bridge the gap between theory and production-ready workflows.
Who this course is for:
- This course is designed for DevOps/SREs or Cloud engineers of all levels—whether you’re a beginner eager to learn the fundamentals, an intermediate professional looking to expand your skills, or an advanced engineer seeking to master modern cloud technologies. Everyone will find valuable insights and hands-on techniques to elevate their expertise.
- DevOps engineers, SREs, and developers wanting to adopt GitOps
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