1d ago · 5 min read · When developers start building serverless applications on Google Cloud, they often run into the same dilemma. Should this workload run on Cloud Run or Cloud Functions? Both services allow you to run c
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2d ago · 5 min read · Building a Retrieval-Augmented Generation (RAG) prototype takes a weekend. Taking that prototype to production without burning through your infrastructure budget is a completely different engineering
Join discussion1d ago · 1 min read · Knative patterns for serverless workloads on Kubernetes. Autoscale-to-zero in 10 lines of YAML apiVersion: serving.knative.dev/v1 kind: Service metadata: name: hello spec: template: metadata: annotations: autoscaling.knative.dev...
Join discussion2d ago · 11 min read · TLDR: Serverless is strongest for spiky asynchronous workloads when cold-start, observability, and state boundaries are intentionally designed. TLDR: Serverless works best for spiky, event-driven workloads when you design for idempotency, observabili...
Join discussion3d ago · 2 min read · While using Next.js for some time, one thing was always in my mind because it uses serverless and edge functions. But I was always curious about what actually happens behind the scenes. So I started e
Join discussion4d ago · 19 min read · Most RAG tutorials end the same way: you've got a working prototype and a bill for a vector database that runs whether anyone's querying it or not. Add an always-on embedding service, a hosted LLM end
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5d ago · 4 min read · As a 1st-year engineering student diving into distributed systems, I’ve noticed a massive inefficiency in how growing engineering teams operate: they don't just duplicate code—they duplicate intent. O
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