Cloud Run vs GKE: How I Actually Choose
Cloud Run and GKE both run containers on GCP. Beyond that, they have different operational models, different cost structures, and different ceilings. Choosing between them isn't about which is "better
#cloud-run
Posts tagged #cloud-run
GCP for Engineers Who Know AWS: The Mental Model That Actually Helps
The first thing that breaks when an AWS engineer starts working on GCP isn't the tooling or the console. It's the assumption that IAM works the same way. On AWS, you attach policies to IAM users, grou
Deploying AI Workflows on Cloud Run: Latency, Cold Starts, and Scaling
The team set min_instances = 3 to eliminate cold starts on the AI workflow service. Reasonable thinking — LLM calls already add 5–15 seconds of latency, a 4-second cold start on the first request afte
Redis Patterns Every Backend Engineer Should Know
Redis gets reached for because it's fast. That's often the wrong reason. Speed isn't a pattern — it's a property. Using Redis correctly means understanding what each pattern is actually good at and, j
Async AI Pipelines in FastAPI: Streaming, Queuing, and Long-Running Requests
The document extraction endpoint was synchronous. A request came in, the service sent the document to OpenAI, waited for the full response, parsed it, wrote to the database, and returned. Each request
PostgreSQL Connection Pooling on Cloud Run: The Problem Nobody Warns You About
Cloud Run scales horizontally. That's the point. Under load, it spins up new instances automatically — each one handling concurrent requests, each one maintaining its own connection pool to your Cloud
