Developers Moving Into DevOps & Cloud
You write application code but want to understand the full deployment lifecycle — from code commit to running in production with monitoring, scaling, and rollback capabilities.
There is a wide gap between knowing AWS services exist and knowing how to use them in production. Most tutorials teach you to click through the console and deploy a "Hello World" Lambda. That is not DevOps — that is a demo. This training teaches you how production teams actually operate on AWS: how CI/CD pipelines are structured for multiple environments, how Terraform modules are organized across teams, how EKS clusters are configured for real workloads, and how monitoring is set up so you find problems before your users do.
You will work with a practicing architect who has designed and operated AWS infrastructure supporting high-traffic production systems. Every exercise mirrors real deployment scenarios — blue-green deployments that actually switch traffic, IaC that manages state across environments, and observability stacks that go beyond default CloudWatch dashboards. You will leave this training knowing how to build infrastructure that your team can operate confidently at 2 AM when something breaks.
Who This Training Is For
You write application code but want to understand the full deployment lifecycle — from code commit to running in production with monitoring, scaling, and rollback capabilities.
You work with CI/CD tools daily but want to design pipelines that are maintainable, secure, and handle multi-service deployments without becoming a tangled mess of scripts.
You want to pass the Solutions Architect or DevOps Engineer certification but also understand the concepts deeply enough to apply them in your actual job, not just on the exam.
You need to establish infrastructure-as-code standards, deployment strategies, and monitoring practices for your team — and want guidance from someone who has done it at scale.
Curriculum
Not a service catalog walkthrough — you will learn when to choose ECS over EKS, when Lambda makes sense vs. a long-running container, and how to design VPC topologies that are actually secure.
Multi-stage pipelines with environment promotion, automated testing gates, artifact management, rollback strategies, and handling database migrations in deployment pipelines.
Module composition, remote state management, workspace strategies, drift detection, and structuring Terraform codebases that multiple teams can contribute to without conflicts.
Multi-stage Docker builds, resource limits and requests, horizontal pod autoscaling, Helm chart authoring, and operating EKS clusters with proper RBAC and networking policies.
VPC design, subnet strategies, security groups vs. NACLs, private endpoints, NAT gateways, and IAM policies that follow least-privilege without becoming unmanageable.
Building dashboards that answer operational questions, setting up alerts that do not cause alert fatigue, structured logging with centralized search, and distributed tracing across services.
Right-sizing instances, reserved capacity planning, identifying wasteful resources, data transfer cost traps, and building cost awareness into your architecture decisions from day one.
Active-passive and active-active strategies, RDS Multi-AZ vs. cross-region replicas, Route 53 failover routing, and designing systems that survive an entire AZ or region going down.
Hands-On Projects
Design and implement a complete deployment pipeline that builds, tests, and deploys multiple microservices to an EKS cluster. Handle environment-specific configurations, database migrations, integration test stages, and automated rollbacks when health checks fail — the same pipeline structure production teams actually use.
Build an event-driven data processing pipeline using Lambda, SQS, and DynamoDB. Handle event ordering, dead letter queue processing, idempotency for retry scenarios, and build an observability layer that lets you trace an event from ingestion through every processing step to final storage.
Design a modular Terraform codebase managing dev, staging, and production environments. Implement VPC networking with private subnets, NAT gateways, and security groups. Use S3 + DynamoDB for remote state locking, create reusable modules for ECS/EKS clusters, RDS databases, and ALB configurations. Add Checkov security scanning, Infracost for cost estimation in PRs, and automated drift detection with notifications via SNS.
How It Works
60-90 minute live sessions where you work hands-on with real AWS services. Screen sharing, live debugging, and pair-programming on infrastructure code — not slide presentations.
Weekly assignments that have you build, break, and fix infrastructure. You will deploy services, simulate failures, investigate CloudWatch logs, and learn by doing — not by watching.
Submit your Terraform modules, pipeline configs, and Docker setups for detailed async review with feedback on best practices, security concerns, and production readiness.
Ask questions between sessions about AWS decisions at work, debugging production issues, or preparing for certification exams. Get responses from an architect, not a chatbot.
Your Instructor
Software Architect · 20+ Years Experience
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