Follow these steps carefully to master this series.
Transition from system design to implementation. Learn how the DevOps philosophy shapes infrastructure for high-performance teams.
A deep dive into how AWS is built. Understand Regions, AZs, Local Zones, and Wavelength for building high-availability applications.
Security starts with Identity. Learn to write secure IAM policies and use Roles for cross-service access using the principle of least privilege.
Construct your private cloud. This guide covers the basics of VPC creation, CIDR blocks, public/private subnets, and routing traffic.
Scale your network architecture. Learn to connect multiple VPCs and manage egress traffic securely using AWS Transit Gateway and Peering.
Don’t waste budget on the wrong server. Understand EC2 instance families, choosing the right AMI, and utilizing instance metadata services.
Block, File, or Object? We break down performance, cost, and use cases for Amazon EBS, EFS, and S3 in production environments.
Prevent data leaks. Learn to secure S3 buckets using Bucket Policies, IAM, and the critical Public Access Block features.
Move faster with the terminal. How to configure the AWS CLI, manage profiles, and use SDKs for Python and Node.js automation.
If you can’t measure it, you can’t manage it. Introduction to CloudWatch Metrics, Logs, and setting up Alarms for self-healing systems.
Demystifying containerization. Learn why Docker is the industry standard and how it differs from traditional virtualization.
Get your environment ready. A step-by-step guide to installing Docker and running your first containerized application.
Optimize your builds. Learn the syntax of Dockerfiles and how multi-stage builds drastically reduce image size and improve security.
How containers talk. Explore Docker’s networking drivers including Bridge, Host, None, and Overlay for multi-host communication.
Persistence in a stateless world. Learn how to use Docker Volumes and Bind Mounts to manage database data and configuration files.
Orchestrate locally. Use Docker Compose to define and run complex environments with multiple services, networks, and volumes.
Speed up your CI/CD. Strategies for minimizing Docker image layers, using Alpine images, and leveraging build cache.
Harden your containers. Learn to run Docker in rootless mode, scan for vulnerabilities, and use security profiles like AppArmor.
Host your images on AWS. A guide to Amazon Elastic Container Registry, private repositories, and cross-account access.
Keep your registry clean. How to automate the deletion of old images using ECR Lifecycle Policies to save on storage costs.
Stop the "ClickOps." An introduction to IaC benefits, version control for hardware, and the choice between Terraform and Pulumi.
Learn the language of the cloud. An introduction to HashiCorp Configuration Language (HCL) and the core Terraform workflow.
The three pillars of Terraform. Understanding the core commands that drive your infrastructure from code to live AWS resources.
The brain of your infra. Deep dive into how Terraform tracks your resources and why you should never edit the state file manually.
Team collaboration for IaC. Setup remote state backends with S3 for storage and DynamoDB for state locking to prevent conflicts.
Build flexible code. Learn to use input variables, local values, and output values to make your Terraform configurations dynamic.
DRY your infrastructure. How to build, version, and share custom Terraform modules for standardizing VPCs, EC2s, and RDS.
Bootstrapping servers. Why you should avoid Terraform provisioners and use Cloud-Init or User Data for secure EC2 configuration.
Environment isolation. Use Terraform Workspaces to manage multiple environments from a single codebase without code duplication.
Fix existing infra. A guide to using 'terraform import' to bring manually created AWS resources under IaC management.
Inside the orchestrator. Understand how etcd, API Server, Scheduler, and Kubelet work together to manage your containers.
The AWS way for K8s. Why choose EKS over managing your own control plane, and an overview of EKS features and pricing.
The CLI power user. How to use kubectl for K8s operations and eksctl for rapid AWS EKS cluster provisioning.
Core K8s objects. Learn the difference between Pods, ReplicaSets, and Deployments to ensure your application stays running.
Exposing your apps. A guide to Kubernetes Service types and how they integrate with AWS Elastic Load Balancing.
Advanced ingress. Learn to use the AWS Load Balancer Controller to automatically provision ALBs and NLBs for your EKS services.
Decoupling config from code. How to securely manage application settings and sensitive secrets within a Kubernetes cluster.
State on K8s. A deep dive into StorageClasses, Persistent Volumes, and using the EBS CSI driver for stateful applications.
Automated scaling. Learn to configure the HPA to scale your pods based on CPU, memory, or custom metrics from CloudWatch.
Infrastructure scaling. Compare the traditional Cluster Autoscaler with the modern, high-speed Karpenter for node management.
Simplify K8s deployments. Learn to use Helm Charts to package, version, and deploy complex applications with a single command.
Secure pod permissions. Learn to map IAM roles directly to K8s service accounts for fine-grained AWS resource access control.
Monitor your cluster like a pro. Set up the Prometheus and Grafana stack on EKS for deep visibility into container performance.
Managing stateful apps. Understand how StatefulSets provide stable network IDs and persistent storage for databases on K8s.
Kubernetes without limits. Explore how EKS Anywhere allows you to run AWS-managed Kubernetes on your own on-premises hardware.
Mastering the pipeline. A deep dive into the theoretical and practical stages of a modern automated software delivery pipeline.
Host your code on AWS. Learn to manage private Git repositories with CodeCommit, integrated with IAM for enterprise security.
Scalable builds. Configure CodeBuild to compile code, run tests, and produce artifacts without managing any build servers.
Automated deployments. How to use CodeDeploy to push code updates to various AWS compute services with minimal manual effort.
Eliminate downtime. Master Blue/Green deployment patterns on AWS to switch traffic safely between old and new application versions.
Progressive delivery. Learn to use Canary releases to roll out updates to a small percentage of users before a full production launch.
Hybrid automation. Learn to connect GitHub Actions with AWS using OIDC for secure, credential-less deployment workflows.
Pipelines for IaC. How to build a CI/CD pipeline that automatically plans and applies Terraform changes upon code commit.
Declarative GitOps. Set up ArgoCD on EKS to synchronize your Kubernetes cluster state with your Git repository automatically.
Secure the pipeline. Best practices for restricting pipeline access and using temporary credentials for automated deployments.
Code without servers. Use Lambda functions to automate infrastructure tasks, clean up resources, and respond to cloud events.
Serverless made easy. Learn the Serverless Application Model (SAM) to define, test, and deploy Lambda-based apps efficiently.
Zero-ops containers. Deploy your web applications directly from source code or container images with AWS App Runner's managed service.
Managed container orchestration. A deep dive into ECS and Fargate for running containers without managing underlying EC2 instances.
Master the ECS model. Understanding the components of ECS, including Task Definitions, Tasks, Services, and Cluster scaling.
Workflow automation. Use AWS Step Functions to coordinate multiple AWS services into long-running, reliable business or DevOps processes.
The front door for APIs. Learn to build, secure, and scale REST and HTTP APIs using Amazon API Gateway for your microservices.
Reactive infrastructure. Master Amazon EventBridge to build event-driven architectures that respond to changes across your AWS account.
Stop hardcoding keys. Learn to securely store, rotate, and retrieve database credentials and API keys using AWS Secrets Manager.
Edge security. Defend your applications against web exploits and DDoS attacks using AWS WAF and AWS Shield.
Compliance and visibility. Use AWS CloudTrail to log every API call in your account for security auditing and troubleshooting.
Control the bill. Strategies for using Cost Explorer, Budgets, and Compute Optimizer to reduce your monthly AWS spend.
Build resilient systems. Use AWS FIS to intentionally inject faults into your environment and verify your system's recovery logic.
Planning for the worst. Learn about Backup & Restore, Pilot Light, Warm Standby, and Multi-site disaster recovery patterns on AWS.
Professional growth. A summary of the series so far and how to package your DevOps projects for the AWS Skills Builder application.
Modernizing legacy apps. Learn the Strangler Fig pattern to incrementally migrate functionality from a monolith to microservices.
Contract-driven development. How to use OpenAPI specifications to design your APIs before writing a single line of backend code.
Scaling data. Why each microservice should own its own database and how to implement this pattern using RDS and DynamoDB.
Consistency without 2PC. Learn the Saga pattern to manage data consistency across multiple microservices using choreography or orchestration.
State as a stream. Learn to capture every change to application state as a sequence of events using Amazon Kinesis and Lambda.
Optimizing reads and writes. How to implement Command Query Responsibility Segregation to scale complex data models on AWS.
Service-to-service security. Use AWS App Mesh to implement mutual TLS and sophisticated traffic routing between your microservices.
Resilient networking. Learn to use App Mesh to implement the Circuit Breaker pattern to prevent cascading failures in your system.
Follow the request. How to implement distributed tracing using AWS X-Ray and OpenTelemetry to debug performance across services.
Log management at scale. Set up a centralized logging pipeline using Fluentbit to ship logs from EKS/ECS to Amazon OpenSearch Service.
Decoupling services. A comparison of AWS messaging services to help you choose the right tool for asynchronous communication.
Scaling the UI. How to build and deploy independent frontend modules using Amazon S3 and CloudFront for a unified user experience.
Reducing latency. Strategies for caching API responses at the edge and using ElastiCache to speed up backend data retrieval.
Ultimate fault isolation. Learn how to partition your infrastructure into "cells" to limit blast radius and scale to millions of users.
Quality at scale. Learn to implement Pact for contract testing and use AWS Distributed Load Testing to verify system performance.
Understanding the boom. An overview of how AWS structures its AI services from infrastructure to foundation models and apps.
Get started with Bedrock. How to access and experiment with models from Anthropic, Meta, and Amazon through a single unified API.
Beyond "Ask AI." Learn systematic prompt engineering techniques, versioning prompts as code, and testing for output consistency.
Give AI your data. A step-by-step guide to building RAG systems on AWS to ground foundation models in your private business data.
Choosing a vector store. Compare Amazon OpenSearch Serverless and pgvector on RDS for storing and searching high-dimensional embeddings.
Managed RAG. Learn to use Knowledge Bases for Amazon Bedrock to automate the ingestion, chunking, and retrieval of your documents.
AI that does work. How to build autonomous agents using Amazon Bedrock that can invoke APIs and execute business logic on your behalf.
Responsible AI. Implement Guardrails for Amazon Bedrock to filter toxic content, mask sensitive data (PII), and enforce safety policies.
Don't go broke on LLMs. Strategies for monitoring token usage, setting quotas, and optimizing AI costs in your AWS environment.
Specialized AI. Learn the process of fine-tuning foundation models on Amazon Bedrock using your own labeled datasets for better accuracy.
Full-stack AI. Use AWS Amplify to build a web application that integrates seamlessly with Amazon Bedrock for generative features.
Computer vision on AWS. Learn to detect objects, faces, and inappropriate content in visual media using the managed Rekognition service.
Which model is best? Use Model Evaluation on Amazon Bedrock to compare model performance using human or automated benchmarks.
Complex AI logic. Learn to chain multiple LLM calls and human-in-the-loop steps using Step Functions for sophisticated AI workflows.
The future of work. Explore agentic patterns where multiple AI agents collaborate to solve complex, multi-domain engineering problems.
The IDE for ML. An introduction to Amazon SageMaker Studio for building, training, and deploying machine learning models.
MLOps at scale. How to use SageMaker Pipelines to automate the entire end-to-end machine learning lifecycle from data to deploy.
Data for AI. Learn to use SageMaker Feature Store to share, discover, and version features for consistent training and inference.
Keeping models accurate. Use SageMaker Model Monitor to detect quality degradation and data drift in your production models.
Hosting strategies. Compare SageMaker inference options including real-time, serverless, asynchronous, and multi-model endpoints.
Hardware for AI. Learn to use AWS-designed chips like Trainium and Inferentia to reduce costs and increase performance for AI workloads.
Validating model updates. How to use SageMaker to perform A/B testing between different model versions to find the best performer.
Bring your own model. How to build and use custom Docker containers for training and serving specialized ML models on SageMaker.
Ethical AI. Use SageMaker Clarify to detect potential bias in your training data and explain the predictions of your ML models.
The series finale. Combine everything you've learned to build a microservice that uses AI to monitor itself and heal infrastructure.