
Your DLQ Is a Graveyard - Here's How to Fix It
Most dead letter queues become message graveyards - impossible to debug, dangerous to replay, eventually deleted. Three design decisions change everything.
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Amazon cloud services for IAM, networking, managed Kubernetes, and IaC workflows
AWS dominates the cloud infrastructure market for good reason: its breadth of services lets platform teams assemble opinionated internal platforms without building everything from scratch. EKS for managed Kubernetes, CodePipeline and CodeBuild for CI/CD, CloudFormation and CDK for infrastructure-as-code, and IAM for fine-grained access control form the backbone of most enterprise platform engineering stacks. The ecosystem is deep enough that nearly any operational pattern has a managed-service answer.
Platform engineers working with AWS spend significant time on IAM policy design, VPC networking, and service quotas—the unglamorous connective tissue that determines whether a self-service platform actually works at scale. Getting cross-account access right with Organizations and Control Tower, wiring up PrivateLink endpoints, and tuning autoscaling policies across EKS node groups are where real operational expertise lives.
The tradeoff is complexity. AWS offers multiple ways to accomplish any goal, and choosing between them has long-term consequences for cost, maintainability, and team cognitive load. A well-built AWS platform abstracts that complexity behind golden paths so application teams get the reliability of battle-tested infrastructure without needing to understand every service interaction underneath.

Most dead letter queues become message graveyards - impossible to debug, dangerous to replay, eventually deleted. Three design decisions change everything.

Most deployment strategy debates miss the critical constraint: your database. Learn when blue/green and canary deployments actually work — and when they'll fail spectacularly.

You can't manage API costs you don't measure. Here's how to build the metering and quota foundation most teams skip.

Long-lived service account keys are the most common - and most preventable - cloud security vulnerability. Workload identity federation replaces static credentials with cryptographic proof of identity, eliminating an entire category of risk.

Most deprecation strategies fail because they announce but never enforce. Here's how to track consumers, apply graduated pressure, and actually remove deprecated endpoints.

Implementing infrastructure policies with OPA and Conftest that catch violations before they reach production — starting with pre-commit hooks that run in under two seconds.

Recognize state corruption symptoms and apply the right recovery procedure: force-unlock for stuck locks, import for orphaned resources, backup restoration for severe corruption.

Separating platform control surfaces from runtime infrastructure for multi-team boundaries and scaling.

A practical framework for evaluating whether Kubernetes fits your organization's needs, including hidden costs, team requirements, and a decision scorecard.

ESO vs CSI Driver: understanding which failure mode you've chosen before it matters.

Why systems that try to handle all the load end up handling none of it, and how admission control and load shedding keep services alive under pressure.

Why at-least-once delivery means your handlers need to expect duplicates - and how to build them right.