Ultimate DevOps Real-World Project Implementation AWS Cloud
ALL-IN-ONE: DevOps Implementation - Docker, Kubernetes (AWS EKS), Terraform, CICD (GitHub Actions, ArgoCD), Helm, OTEL.
Key Takeaways — Course Overview
The following summarizes all verified data points for Ultimate DevOps Real-World Project Implementation AWS Cloud, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .
Course Title: Ultimate DevOps Real-World Project Implementation AWS Cloud
Platform: Udemy (listed via CoursesWyn)
Instructor: Kalyan Reddy Daida
Coupon Verified:
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: Students who complete Ultimate DevOps Real-World Project Implementation AWS Cloud will be able to: 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.
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
Completing Ultimate DevOps Real-World Project Implementation AWS Cloud gives you the following verified skills and competencies in IT & Software:
- 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
Requirements
The following background knowledge and tools are recommended before starting Ultimate DevOps Real-World Project Implementation AWS Cloud. Students without these prerequisites may still enroll but should expect a steeper learning curve.
- 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 Udemy Course
The following is the full official course description for Ultimate DevOps Real-World Project Implementation AWS Cloud as published on Udemy by instructor Kalyan Reddy Daida. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course.
- Full-stack e-commerce application with 5 microservices
- Multi-language stack (Java Spring Boot, Node.js, Go)
- Production-grade architecture patterns
- Docker CLI: pull, run, exec, stop, start, rm, rmi, logs, inspect
- Container lifecycle management
- Image registry operations
- 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
- 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
- Docker BuildKit and buildx CLI
- Building multi-platform images (AMD64, ARM64)
- Multi-stage builds for production optimization
- Key Concepts: State management, variable precedence, data sources, modules
- EKS cluster provisioning
- EKS node groups configuration
- IAM roles for EKS cluster and worker nodes
- kubectl and kubeconfig configuration
- Cluster authentication and authorization
- Additional Topics: Labels, selectors, annotations, liveness probes, readiness probes, resource requests/limits
- External Secrets Operator
- Secrets CSI Driver
- Mounting secrets as files and environment variables
- PersistentVolumes (PV) and PersistentVolumeClaims (PVC)
- StorageClasses and dynamic provisioning
- StatefulSets with persistent storage
- Application Load Balancer (ALB) configuration
- SSL/TLS termination with AWS Certificate Manager
- Health checks and target group configuration
- 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)
- 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
- 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
- External DNS Add-On installation with Terraform
- Automatic DNS record creation in Route53
- Custom domain configuration
- Integration with AWS Load Balancer Controller
- Retail Store application with custom domains
- SSL certificate automation with ACM
- Production DNS management
- Architecture deep dive
- IAM roles and permissions
- EventBridge and SQS for spot interruption handling
- NodePools and EC2NodeClass configuration
- Right-sizing nodes for workloads
- Node consolidation
- 70% cost savings with Spot
- Spot NodePool configuration
- Instance diversification strategy
- Understanding 2-minute Spot interruption warning
- EventBridge → SQS → Karpenter flow
- Graceful pod eviction and rescheduling
- PodDisruptionBudgets for zero downtime
- Production-ready Spot strategy
- Metrics Server installation
- CPU-based and memory-based autoscaling
- HPA + Karpenter integration (HPA scales pods, Karpenter scales nodes)
- 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
- ADOT Operator installation
- OTEL Collector architecture
- 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
- Log aggregation and analysis
- CloudWatch Insights queries
- Amazon Managed Prometheus setup
- Amazon Managed Grafana setup
- Custom dashboards creation
- Application metrics and business KPIs
- GitHub Actions workflow fundamentals
- Building Docker images
- OIDC authentication (No access keys!)
- Semantic versioning with Git tags
- Installing ArgoCD on EKS
- ArgoCD architecture and components
- GitOps principles
- Creating ArgoCD applications
- Helm integration
- Auto-sync and self-heal
- Code commit → Build → Push to ECR → Update Helm values → ArgoCD deploys
- End-to-end demonstration
- Rollback strategies
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Is This Course Worth It?
Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .
Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Ultimate DevOps Real-World Project Implementation AWS Cloud is a high-value resource for learners seeking to build skills in IT & Software. Taught by Kalyan Reddy Daida on Udemy, the 38h 30m course provides a structured progression from foundational concepts to advanced DevOps techniques — making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $199.99 to $12.99, removing the primary financial barrier to enrollment.
What We Like (Pros)
The following advantages were identified during our review of Ultimate DevOps Real-World Project Implementation AWS Cloud:
- Verified 94% price reduction makes this course accessible to learners on any budget.
- Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
- Includes an official Udemy completion certificate and lifetime access to all future content updates.
Keep in Mind (Cons)
The following limitations should be considered before enrolling in Ultimate DevOps Real-World Project Implementation AWS Cloud:
- The depth of DevOps coverage may be challenging for absolute beginners without the listed prerequisites.
- Lifetime access is contingent on the continued operation of the Udemy platform.
- Hands-on projects and quizzes require additional time investment beyond video watch time.
"Given the 94% price reduction and verified 4.7-star rating, Ultimate DevOps Real-World Project Implementation AWS Cloud represents one of the strongest value propositions currently available in IT & Software on Udemy. Enrollment is strongly recommended while this coupon remains active."
Course Rating Summary
Ultimate DevOps Real-World Project Implementation AWS Cloud holds an aggregate rating of 4.7 out of 5 based on 3,961 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.
4.7
3,961 Verified Ratings
* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .
Instructor Profile
The following section provides background information on Kalyan Reddy Daida, the instructor responsible for creating and maintaining Ultimate DevOps Real-World Project Implementation AWS Cloud on Udemy.
Ultimate DevOps Real-World Project Implementation AWS Cloud is taught by Kalyan Reddy Daida, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.
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Instructor Name: Kalyan Reddy Daida
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Subject Area: IT & Software
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Teaching Approach: Practical, project-based instruction focused on real-world application of DevOps skills (as described in the course curriculum on Udemy).
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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