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.

Requirements

No programming or cloud experience needed. You will learn everything you need to know.

Description

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 BuildA fully deployed Ghost blog application on Kubernetes with persistent storage and GitOps-powered delivery.Fluent-bit logging pipeline: Ghost 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 UseKubernetes (EKS) on AWSDocker, Helm, and GitHubArgoCD for GitOps-based deploymentsPrometheus, Grafana, and custom Grafana dashboardsSplunk, Fluent Bit, and OpenTelemetry for logging and observabilityGit for version control workflows By the end of this course, you'll be able to:Set up and deploy Kubernetes apps using modern DevOps toolsDesign and automate CI/CD pipelines with Argo CDMonitor and troubleshoot microservices using observability best practicesDeploy real-time logging and metrics dashboardsConfidently speak to DevOps architecture and tools in interviewsThis course is ideal for aspiring DevOps Engineers, SREs, and developers looking to bridge the gap between theory and production-ready workflows.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Architecture Breakdown

Lecture 2 Architecture

Section 3: AWS Infrastructure provisioning

Lecture 3 Set Up AWS Infrastructure for Kubernetes & CI/CD

Lecture 4 Set up storage provisioners

Section 4: GitOps with Argo CD

Lecture 5 GitOps: Automating Kubernetes with Git

Lecture 6 Argo CD installation on EKS

Lecture 7 Push project code to GitHub

Section 5: Ghost CMS

Lecture 8 Configuring Ghost with Helm

Lecture 9 Ghost Installation

Lecture 10 Exposing Ghost CMS app via Custom DNS

Lecture 11 Overview of Ghost Blog Application Features

Section 6: Metrics and alerting with Grafana, Prometheus & Slack

Lecture 12 Installing and Setting Up Prometheus on EKS

Lecture 13 Setting Up Grafana on EKS for Monitoring

Lecture 14 Setting Up Grafana Data Sources & Importing Pre-Built Dashboards

Lecture 15 Integrate Grafana with Slack for notifications

Lecture 16 Setup Alerting on Grafana + Slack Notification

Section 7: Logging and Alerting Infrastructure Setup: Deploy Fluent Bit & Splunk on EKS

Lecture 17 Fluent Bit Installation and Configuration with Helm

Lecture 18 Splunk operator and enterprise configuration

Lecture 19 Splunk installation

Section 8: Logging Insights: Build Dashboards and Alerts in Splunk + Slack Integration

Lecture 20 Splunk overview

Lecture 21 Fluent Bit config update (Splunk integration)

Lecture 22 Splunk queries deep-dive

Lecture 23 Splunk queries deep-dive PT2

Lecture 24 Splunk dashboard and alert

Lecture 25 Integrate Slack to Splunk for Real-time Alerts

Lecture 26 Creating actionable Splunk alerting with slack as an SRE

Section 9: Optimize AWS Costs: Clean Up Your Kubernetes Environment

Lecture 27 Environment cleanup

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