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Working from home
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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx2

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lrweck/README.md

Olá! I'm Luis 👋

✍️ Blog: lrweck.github.io/posts — engineering notes and deep-dives.

I'm a software developer in Santa Catarina, Brasil, obsessed with technology, performance, and optimization — how things work under the hood, and how to make them measurably faster.

Interests

  • Performance engineering — profiling, benchmarks, latency and throughput deep-dives.
  • Databases & storage — connection pooling, query planning, benchmarking engines.
  • Systems & low-level stuff — concurrency, memory, native binaries.
  • Good taste in tooling — small APIs, boring tech, code that stays simple.

Where I write

  • Blog — notes and experiments.
  • GitHub — a few of the experiments above, most Go and PostgreSQL-related.

Feedback and PRs welcome — especially if they make things faster.

Pinned Loading

  1. wideslog wideslog Public

    Wide events for Go: collect one operation's steps and emit a single structured record, on top of log/slog

    Go 1

  2. iter iter Public

    Lazy, composable, type-safe pipelines for Go 1.27 iterators

    Go

  3. pgbench pgbench Public

    Shell

  4. tenantpool tenantpool Public

    Lazy per-tenant pool lifecycle management for Go: one pool per tenant, shared factory call on cold start, idle reaping, stats

    Go

  5. tpool tpool Public

    Multitenant PostgreSQL connection pool for Go with a global budget, per-tenant floors, and burst spillover

    Go