Follow structured lessons that explain the decision, let you practise safely, show what failure looks like, and help you prove what you learned.
Read the editorial and learning standard, including verification, corrections, lab safety, and AI-assistance rules.
The problem
A command can work while the learner still cannot explain the architecture.
A diagram can look correct while hiding retries, cost, security boundaries, and operational ownership.
A tutorial can finish at deployment without showing evidence, failure, or cleanup.
InfraTales treats every article as a learning unit, not a page-view unit.
What InfraTales does differently
Each lesson starts with a direct answer and observable outcomes. It then explains the architecture and trade-offs, shows failure signals, provides safe practice, checks the learner's judgement, and points to one explicit next lesson. Evidence status is visible instead of implied.
How to use InfraTales
Read these first
Most S3-to-Lambda setups skip CloudTrail data events entirely and pay for it later with brittle fan-out and zero audit trail. This post walks through a CDK TypeScript stack that routes S3 events through EventBridge properly — VPC placement, KMS encryption, Secrets Manager, cost model, and the failur
Wiring CodePipeline, CodeDeploy, and Auto Scaling in CDK sounds straightforward until your first real scale event cracks the deployment. This post walks the full architecture - VPC, ALB, ASG, SSM config, and the lifecycle hook settings that keep deploys clean under load.
Most CDK tutorials stop at 'it deployed.' This one covers the full aws cdk web application deployment stack - VPC isolation, Fargate on private subnets, Aurora with KMS, CloudFront, Secrets Manager rotation - and the six operational gaps that will wake you up at 2am if you skip them.
Launch learning path
Start with the S3, Lambda, and SQS architecture decision. Continue through retries, idempotency, dead-letter queues, monitoring, cost, and a final decision exercise.
Consulting
InfraTales also offers focused reviews for teams that need an explicit recommendation, documented assumptions, realistic trade-offs, and a prioritised action list.
Core publication areas
Start with the six most useful technical entry points, then move to the full topic directory if you need the wider taxonomy.
Architecture decisions, service boundaries, and production patterns for building on AWS.
Delivery systemsDeveloper platforms, deployment workflows, infrastructure as code, and the mechanics that keep teams shipping.
ResilienceIAM, failure isolation, recovery planning, defensive controls, and reliability work that survives the first incident.
EfficiencyFinOps, savings trade-offs, architecture-driven spend reduction, and the places optimization breaks production.
