Ultimate DevOps Real-World Project Implementation AWS Cloud — 94% Off Coupon

ALL-IN-ONE: DevOps Implementation - Docker, Kubernetes (AWS EKS), Terraform, CICD (GitHub Actions, ArgoCD), Helm, OTEL

⭐ 4.7 out of 5 Rating (4,552 students) Created by Kalyan Reddy Daida Updated: April 6, 2026 🌐 English

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A summarized snapshot of the essential course data, author credentials, and live coupon verification statistics from our manual technical audit.

Course Title: Ultimate DevOps Real-World Project Implementation AWS Cloud

Provider: Udemy (Listed via CoursesWyn)

Instructor: Kalyan Reddy Daida

Coupon Verified On: April 6, 2026

Difficulty Level: All Levels

Category: IT & Software

Subcategory: DevOps

Duration: 38h 30m of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Master complete AWS DevOps with Docker, Kubernetes EKS, Terraform, and production-ready microservices deployment · Build production Docker images with multi-stage builds, push to ECR, and create multi-platform images for AMD64 and ARM64 · Automate AWS infrastructure with Terraform: VPC, EKS clusters, RDS, ElastiCache, DynamoDB, and remote state management

Prerequisites: AWS Account: Active AWS account with permissions to create resources (EKS, VPC, RDS, EC2, etc.). Free tier works for initial modules only. · Computer: System capable of running SSH and web browsers (any OS: Windows, macOS, Linux). We'll use EC2 for Docker demos, so no need for Docker Desktop locally. · Basic Command Line: Familiarity with terminal/command prompt and basic Linux commands. · Text Editor: Any code editor (VS Code recommended) for editing configuration files. · Internet Connection: Stable connection for AWS console access and downloading tools. · Helpful (But Not Mandatory): Basic Programming: Understanding of basic programming concepts helps with microservices code, but not required. · Helpful (But Not Mandatory): AWS Basics: Familiarity with core AWS concepts (EC2, VPC, IAM) is helpful but we cover what's needed. · Helpful (But Not Mandatory): Version Control: Basic Git knowledge beneficial for CI/CD section. · Helpful (But Not Mandatory): Networking Fundamentals: Understanding of IP addresses, subnets, and ports enhances learning. · What You DON'T Need: Prior Docker Experience: We start from Docker installation and build to advanced concepts. · What You DON'T Need: Prior Kubernetes Experience: We cover Kubernetes fundamentals before advanced topics. · What You DON'T Need: Prior Terraform Experience: We begin with Terraform basics and gradually advance. · What You DON'T Need: DevOps Experience: Course designed to teach DevOps from the ground up. · What You DON'T Need: No AWS or Kubernetes certifications required.

Price: $12.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $187.00 (94% OFF).

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What You'll Learn

The following technical skills represent the core curriculum targets for learners enrolling in this verified program today.

Master complete AWS DevOps with Docker, Kubernetes EKS, Terraform, and production-ready microservices deployment
Build production Docker images with multi-stage builds, push to ECR, and create multi-platform images for AMD64 and ARM64
Automate AWS infrastructure with Terraform: VPC, EKS clusters, RDS, ElastiCache, DynamoDB, and remote state management
Deploy and manage Kubernetes applications on AWS EKS with Ingress, Load Balancers, SSL/TLS, and External DNS automation
Implement Karpenter autoscaling for 70% cost savings using Spot instances with zero-downtime interruption handling
Build complete CI/CD pipelines with GitHub Actions and ArgoCD for automated Docker builds and GitOps deployments
Master observability with OpenTelemetry, AWS X-Ray tracing, CloudWatch logs, Prometheus metrics, and Grafana dashboards
Handle AWS Spot interruptions gracefully with EventBridge, SQS, and PodDisruptionBudgets for zero-downtime production
Package and deploy complex microservices using Helm charts with templating, versioning, and environment-specific configs
Deploy real retail store with 5 microservices integrated with AWS RDS, ElastiCache, DynamoDB, and SQS message queues
Implement production security with Kubernetes RBAC, AWS Secrets Manager, IAM roles, and IMDSv2 for EC2 instances
Configure Horizontal Pod Autoscaler (HPA) with Metrics Server for CPU and memory-based autoscaling in production
Master GitOps workflows with ArgoCD auto-sync, self-healing, and rollback strategies for reliable deployments
Learn production troubleshooting for Kubernetes pods, EKS nodes, Terraform state issues, and AWS service integration
Orchestrate multi-container applications with Docker Compose for local development and testing environments
Optimize AWS costs with Spot instances, right-sizing, consolidated billing, and infrastructure cost analysis
Deploy stateful applications with StatefulSets, persistent volumes, and AWS EBS CSI driver for production databases
Master all 5 Kubernetes Service types: ClusterIP, NodePort, LoadBalancer, ExternalName, and Headless Services
Implement auto-instrumentation for Java Spring Boot and Node.js microservices with OpenTelemetry collectors
Configure resource requests and limits for optimal pod scheduling and production cluster management

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Requirements

Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.

AWS Account: Active AWS account with permissions to create resources (EKS, VPC, RDS, EC2, etc.). Free tier works for initial modules only.

Computer: System capable of running SSH and web browsers (any OS: Windows, macOS, Linux). We'll use EC2 for Docker demos, so no need for Docker Desktop locally.

Basic Command Line: Familiarity with terminal/command prompt and basic Linux commands.

Text Editor: Any code editor (VS Code recommended) for editing configuration files.

Internet Connection: Stable connection for AWS console access and downloading tools.

Helpful (But Not Mandatory): Basic Programming: Understanding of basic programming concepts helps with microservices code, but not required.

Helpful (But Not Mandatory): AWS Basics: Familiarity with core AWS concepts (EC2, VPC, IAM) is helpful but we cover what's needed.

Helpful (But Not Mandatory): Version Control: Basic Git knowledge beneficial for CI/CD section.

Helpful (But Not Mandatory): Networking Fundamentals: Understanding of IP addresses, subnets, and ports enhances learning.

What You DON'T Need: Prior Docker Experience: We start from Docker installation and build to advanced concepts.

What You DON'T Need: Prior Kubernetes Experience: We cover Kubernetes fundamentals before advanced topics.

What You DON'T Need: Prior Terraform Experience: We begin with Terraform basics and gradually advance.

What You DON'T Need: DevOps Experience: Course designed to teach DevOps from the ground up.

What You DON'T Need: No AWS or Kubernetes certifications required.

About This Course

Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.

COURSE MODULES - 55+ HANDS-ON DEMOS

SECTION 1: PROJECT OVERVIEW
Module-01: Complete Retail Store Microservices Architecture
  • Full-stack e-commerce application with 5 microservices
  • Multi-language stack (Java Spring Boot, Node.js, Go)
  • Production-grade architecture patterns
SECTION 2: DOCKER COMMANDS (3 DEMOS)
Module-02: Docker Fundamentals and Essential Commands
1. EC2 Docker Setup - Installing Docker on AWS Amazon Linux 2023
2. Pull from Docker Hub and Run Containers
3. Build Docker Images and Push to DockerHub
  • Docker CLI: pull, run, exec, stop, start, rm, rmi, logs, inspect
  • Container lifecycle management
  • Image registry operations

SECTION 3: DOCKERFILE MASTERY (1 COMPREHENSIVE DEMO)
Module-03: Building Custom Docker Images
  • Dockerfile Instructions: FROM, LABEL, COPY, ADD, ARG, ENV, RUN, EXPOSE, CMD, ENTRYPOINT, WORKDIR, HEALTHCHECK, USER
  • Security best practices
  • Multi-stage builds for optimization
  • Image layer caching strategies

SECTION 4: DOCKER COMPOSE (1 COMPREHENSIVE DEMO)
Module-04: Multi-Container Application Orchestration
  • Docker Compose basics with real microservices
  • Named volumes, networks, and health checks
  • Scaling services with DEPLOY
  • Startup order with dependencies and conditions
  • Profiles, links, and aliases

SECTION 5: DOCKER BUILDKIT (1 COMPREHENSIVE DEMO)
Module-05: Advanced Docker Builds
  • Docker BuildKit and buildx CLI
  • Building multi-platform images (AMD64, ARM64)
  • Multi-stage builds for production optimization

SECTION 6: TERRAFORM BASICS (7 DEMOS)
Module-06: Infrastructure as Code Fundamentals
1. Terraform Tools Installation (AWS CLI, Terraform, kubectl)
2. Terraform Foundation - Providers, Resources, Variables, Outputs
3. Build Production VPC with Public/Private Subnets
4. VPC with tfvars - Variable Management
5. Remote Backend with S3 and DynamoDB State Locking
6. VPC with Remote Backend - Production Setup
7. VPC Terraform Module - Creating Reusable Infrastructure
  • Key Concepts: State management, variable precedence, data sources, modules


SECTION 7: TERRAFORM EKS CLUSTER (1 COMPREHENSIVE DEMO)
Module-07: Complete AWS EKS Cluster with Terraform
  • EKS cluster provisioning
  • EKS node groups configuration
  • IAM roles for EKS cluster and worker nodes
  • kubectl and kubeconfig configuration
  • Cluster authentication and authorization

SECTION 8: KUBERNETES FOUNDATION (5 DEMOS)
Module-08: Kubernetes Core Concepts
1. Kubernetes Pods - Creating and Managing
2. Kubernetes Deployments - Declarative Updates
3. Kubernetes Services - ClusterIP
4. Kubernetes ConfigMaps - Environment Variables and Configuration
5. Kubernetes StatefulSets - Stateful Applications
  • Additional Topics: Labels, selectors, annotations, liveness probes, readiness probes, resource requests/limits

SECTION 9: KUBERNETES SECRETS (4 DEMOS)
Module-09: Secrets Management
1. Kubernetes Secrets Basics
2. EKS Pod Identity Agent Setup
3. AWS Secrets Manager Driver Installation
4. AWS Secrets Manager Catalog Service Integration
  • External Secrets Operator
  • Secrets CSI Driver
  • Mounting secrets as files and environment variables

SECTION 10: KUBERNETES PERSISTENT STORAGE (3 DEMOS)
Module-10: Storage and Databases
1. AWS EBS CSI Driver Installation
2. EBS CSI Integration with Catalog Service
3. AWS RDS MySQL Production Database Integration
  • PersistentVolumes (PV) and PersistentVolumeClaims (PVC)
  • StorageClasses and dynamic provisioning
  • StatefulSets with persistent storage

SECTION 11: KUBERNETES INGRESS (3 DEMOS)
Module-11: Load Balancing and Ingress
1. AWS Load Balancer Controller Installation
2. Kubernetes Ingress with HTTP
3. Kubernetes Ingress with HTTPS/SSL
  • Application Load Balancer (ALB) configuration
  • SSL/TLS termination with AWS Certificate Manager
  • Health checks and target group configuration

SECTION 12: HELM PACKAGE MANAGER (5 DEMOS)
Module-12: Kubernetes Application Management
1. Helm Basics - Installation and Fundamentals
2. Helm Custom Values - Customization and Overrides
3. Helm Chart Exploration - Understanding Chart Structure
4. Helm Package and Publish - Creating and Publishing Charts
5. Helm Retail Store Deployment - Complete Application

SECTION 13: TERRAFORM EKS CLUSTER WITH ADD-ONS (1 COMPREHENSIVE DEMO)
Module-13: Production-Ready EKS with Add-Ons
  • AWS Load Balancer Controller Add-On
  • EBS CSI Driver Add-On
  • Pod Identity Agent Add-On
  • AWS Load Balancer Controller
  • Secret Store CSI Driver
  • AWS Secrets and Configuration Provider (ASCP)

SECTION 14: RETAIL STORE MICROSERVICES - AWS DATA PLANE (2 DEMOS)
Module-14: Real-World Microservices Deployment
1. Retail Store AWS Data Plane Setup
  • AWS RDS for MySQL (Catalog Service Relational database)
  • Amazon ElastiCache for Redis (Checkout Service cache)
  • Amazon SQS for Messaging (Orders Service Message broker)
  • Amazon DynamoDB (Cards Service No SQL Database)
  • Amazon RDS for PostgreSQL (Orders Service Relational Database)
  • Terraform automation for AWS services

2. Microservices with AWS Data Plane Integration
  • UI Service (Spring Boot)
  • Carts Service (Spring Boot + DynamoDB)
  • Catalog Service (Go + Amazon MySQL/RDS)
  • Orders Service (Spring Boot + MySQL/RDS)
  • Checkout Service (Node.js + Redis + SQS)
  • End-to-end integration and testing

SECTION 15: TERRAFORM EKS WITH EXTERNAL DNS (1 COMPREHENSIVE DEMO)
Module-15: Automated DNS Management
  • External DNS Add-On installation with Terraform
  • Automatic DNS record creation in Route53
  • Custom domain configuration
  • Integration with AWS Load Balancer Controller

SECTION 16: RETAIL STORE WITH EXTERNAL DNS (1 DEMO)
Module-16: Production DNS Setup
  • Retail Store application with custom domains
  • SSL certificate automation with ACM
  • Production DNS management

SECTION 17: AUTOSCALING - KARPENTER (4 DEMOS)
Module-17: Pod-Driven Node Autoscaling
1. Karpenter Installation with Terraform
  • Architecture deep dive
  • IAM roles and permissions
  • EventBridge and SQS for spot interruption handling

2. Karpenter On-Demand Instances
  • NodePools and EC2NodeClass configuration
  • Right-sizing nodes for workloads
  • Node consolidation

3. Karpenter Spot Instances
  • 70% cost savings with Spot
  • Spot NodePool configuration
  • Instance diversification strategy

4. Karpenter Spot Interruption Handling
  • Understanding 2-minute Spot interruption warning
  • EventBridge → SQS → Karpenter flow
  • Graceful pod eviction and rescheduling
  • PodDisruptionBudgets for zero downtime
  • Production-ready Spot strategy

SECTION 18: AUTOSCALING - HPA (1 COMPREHENSIVE DEMO)
Module-18: Horizontal Pod Autoscaler
  • Metrics Server installation
  • CPU-based and memory-based autoscaling
  • HPA + Karpenter integration (HPA scales pods, Karpenter scales nodes)

SECTION 19: HELM RETAIL STORE WITH AWS DATA PLANE (1 COMPREHENSIVE DEMO)
Module-19: Complete Helm Deployment
  • Deploying full retail store with Helm
  • Separate charts for each microservice
  • Managing AWS data plane services with Helm
  • Environment-specific values
  • Chart versioning and release management

SECTION 20: OBSERVABILITY - OPENTELEMETRY (4 DEMOS)"
Module-20: Production Observability Stack
1. EKS Environment with ADOT (AWS Distro for OpenTelemetry)
  • ADOT Operator installation
  • OTEL Collector architecture

2. OpenTelemetry Traces with AWS X-Ray
  • Auto-instrumentation for Java Spring Boot
  • Auto-instrumentation for Node.js
  • Trace sampling and filtering
  • Cost optimization (85% reduction filtering health checks)
  • Service maps and trace analysis

3. OpenTelemetry Logs with CloudWatch
  • Log aggregation and analysis
  • CloudWatch Insights queries

4. OpenTelemetry Metrics with AMP & AMG
  • Amazon Managed Prometheus setup
  • Amazon Managed Grafana setup
  • Custom dashboards creation
  • Application metrics and business KPIs

SECTION 21: DEVOPS CI/CD PIPELINE (4 DEMOS)
Module-21: Complete CI/CD with GitOps
1. CI with GitHub Actions and AWS ECR
  • GitHub Actions workflow fundamentals
  • Building Docker images
  • OIDC authentication (No access keys!)
  • Semantic versioning with Git tags

2. ArgoCD Installation
  • Installing ArgoCD on EKS
  • ArgoCD architecture and components
  • GitOps principles

3. CD with ArgoCD and Helm
  • Creating ArgoCD applications
  • Helm integration
  • Auto-sync and self-heal

4. Complete CI/CD Flow Testing
  • Code commit → Build → Push to ECR → Update Helm values → ArgoCD deploys
  • End-to-end demonstration
  • Rollback strategies


WHY THIS COURSE STANDS OUT
1. Production-First Approach: Every concept taught with real-world patterns, not just theory
2. Cost Optimization Built-In: Learn to save 70% on AWS costs with Spot instances
3. Modern Tools: Karpenter, OpenTelemetry, ArgoCD (not outdated tech)
4. Multi-Language Support: Java, Node.js, and Go microservices
5. Complete Project: 5-service retail store, not isolated demos
6. 55+ Hands-On Demos: Learn by doing, not watching slides
7. Zero-Downtime Patterns: PodDisruptionBudgets, Spot interruption handling
8. Monthly and Quarterly Updates included as AWS/K8s evolve


EACH OF MY COURSES COMES WITH
1. Hands-On Practical Demos - Step-by-step implementations
2. Real-World Project - Production-grade retail store microservices
3. Architecture Diagrams - Visual explanations for every concept (NO OR LESS TEXT - EVERYTHING VISUAL)
4. Complete Documentation - Detailed GitHub Repository with README files for each demo
5. Code Repository - All Terraform, Kubernetes, Docker files included in course GitHub Repository
6. Troubleshooting Guides - Common issues and solutions
7. Production Best Practices - Enterprise-grade patterns
8. Friendly Support - Active Q&A section
9. No questions asked 30-Day Money-Back Guarantee by Udemy (Udemy policy)

Meet Your Instructor

Academic background and professional track record of the subject matter expert responsible for this curriculum.

K

Kalyan Reddy Daida

Verified Architect

A global leader with specialized excellence in IT & Software. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.

4.8 / 5.0
Instructor Rating
94% +
Success Rate

Course Comparison

Market-relative value analysis comparing this verified instructor deal against professional subscription and retail averages.

Feature Benchmarks This Verified Offer Global Standard
Cost Verification FREE (100% Validated) Fixed Subscription Fee
Enrollment Type Professional Lifetime Access Limited Time Ownership
Certification Award Included with Access Code Required Add-on Fee

Expert Review

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Andrew Derek
Lead Course Analyst, CoursesWyn

"After auditing the curriculum depth and verifying the live access protocol, Ultimate DevOps Real-World Project Implementation AWS Cloud stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."

Strategic Advantages

  • Official Certificate: Credential generated at no cost.

  • Mobile Friendly: Full access via smart TV & mobile.

  • Expert Pacing: Modular design for professional schedules.

Considerations

  • Technical Depth: Requires focused 10+ hours study.

  • Tool Prep: Certain labs require proprietary software setups.

Verification Outcome: Exceptional Academic Value

Course Rating

Collective learner data and performance analytics based on verified alumni feedback loops and technical graduation audits.

4.7
★★★★★
Verified Excellence
5 Stars
88%
4 Stars
7%
3 Stars
3%
2 Stars
1%
1 Stars
1%

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