Engineering Journal
Tradeoffs, failures, and design decisions from building an AI-infrastructure learning platform. Postgres, Redis, real-time systems, vector databases, Kubernetes, AIOps — and what actually breaks in production.
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Why DNS failures, expired certificates, label selector mismatches, and network policy blocks cause more outages than packet loss — and how to debug them.
Why partial failures and latency cause more production incidents than crashes — cascading slowdowns, retry storms, and exhausted thread pools.
How to use LocalStack, Moto, and Azurite to test cloud failure scenarios locally — emulate S3, DynamoDB, SQS, and Azure Storage without cloud costs.
How IAM propagation delays, API throttling, and global service outages cascade through cloud control planes — and how to design resilient systems around them.
How to debug CrashLoopBackOff in Kubernetes: the six real causes — startup failures, OOMKills, bad probes, image pulls, volumes, and rollouts.
Pods stuck Pending in Kubernetes? Learn the 7 scheduler failures — from insufficient CPU to affinity deadlocks — and how to diagnose them fast.