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1882d ago · 4 min read · Originally published at orquesta.live/blog/comprehensive-logging-ai-driven-code-development When teams employ AI agents to generate and deploy code, understanding every action taken is paramount. Every prompt sent, execution decision made, and line ...
Join discussion3d ago · 6 min read · In Part 9, I Dockerized my backend and added database migrations. One command (docker compose up) now spins up Go + Postgres + Redis. Then I hit a bug. I sent a POST to /entries and got a 500 back. No idea why. I opened the logs: 2026/02/01 10:15:23 ...
Join discussionApr 17 · 8 min read · As developers, we all have a favorite debugging tool: console.log. It is simple, it is fast, and it gets the job done when we are trying to figure out why a variable is undefined on our local machine. But the habits we build in development can become...
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Apr 17 · 3 min read · $12,000/Month for Logs Nobody Reads Our logging bill was $12,000/month. We were ingesting 2TB/day. When I asked the team what percentage of logs they actually looked at during incidents, the answer was embarrassing: about 5%. We were paying to store ...
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Apr 12 · 16 min read · Part 1 of 3: Structured Logs and Correlation IDs Part of a three-part series: Part 2: Centralized Logging and Async Pipelines Part 3: Security, Metrics, and Full-Stack Observability In late 2023, Hel
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Apr 13 · 11 min read · Every production LLM app I've worked on that was struggling had the same root cause: the team couldn't see what the model was actually doing. Users reported wrong answers. The team stared at the prompt. The team asked the PM to reproduce. The team wr...
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Apr 12 · 16 min read · Part 3 of 3: Security, Metrics, and Full-Stack Observability Part of a three-part series: Part 1: Structured Logs and Correlation IDs Part 2: Centralized Logging and Async Pipelines This article cover
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Apr 12 · 13 min read · Part 2 of 3: Centralized Logging and Async Pipelines Part of a three-part series: Part 1: Structured Logs and Correlation IDs Part 3: Security, Metrics, and Full-Stack Observability This article cover
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Apr 12 · 8 min read · Logging is the backbone of production observability. Without it, debugging a live incident is like navigating in the dark, you know something is wrong but have no way to trace why or where. Yet loggin
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