Posts, runbooks, and automation triage
A day of publishing the MongoDB memory incident, organizing infrastructure lessons, and turning several product threads into clearer documents.
The day started by closing work that began as an incident: I published the post about Out Of Memory in a container with MongoDB, Dokploy, and WiredTiger. The important part was making the text less narrative and more useful: explain the symptom, show why WiredTiger cache matters on a small VPS, and record the temporary fix with setParameter, swap, and monitoring.
I also improved the writing process itself. I synced project memory into Codex, refined the AGENTS.md rules, and made it clearer that technical posts need to show the applied fix instead of ending with a vague plan. It was a small repository change, but a large workflow change: less context loss between agents and less rework when turning debugging into content.
Product and infrastructure
On iTOP, the work spread across product, infrastructure, and documentation. I reviewed plans for moving away from a tight VPS setup and outlined paths with Vercel, Neon, Postgres, and separate production and staging environments. Other threads covered terms of use, payment split behavior, organizer and participant manuals, Open Graph image compression, AI support, and a MongoDB to Postgres migration plan.
In parallel, I used the project to study Terraform and managed AWS services. The point was not to become an expert in one afternoon. It was to connect real system requirements to infrastructure blocks: database, application, storage, cost, and maintenance.
Learning and operations
Another part of the day was about agent tools and memory. I looked at projects that turn AI sessions into versioned artifacts, compared memory ideas for agents, and used that as a mirror for /daily: if a trace becomes a public document, the privacy filter has to come before the story.
There was also product discovery for a controllership system, focused on onboarding, integrations, and margin. The question became more concrete: which parts can become automation and which parts still need human validation?
It was a day of turning many loose conversations into usable material: a published post, a clearer runbook, migration plans, product docs, and a better rule for publishing only what can be public.