What is timescaledb-lab?

TimescaleDB Lab is a hands on learning project built around PostgreSQL and its TimescaleDB extension, focused on the kind of work a database support engineer does day to day. Rather than building a polished application, the project exists to practice and demonstrate specific skills: designing time series schemas, working with TimescaleDB hypertables, writing and tuning queries, reading query execution plans, setting up continuous aggregates, applying compression and data retention policies, and writing support style explanations of performance problems the way you would for a customer. The project follows a structured plan the author calls the FOX-40 method, which stands for framing the project around a target job, optimizing for performance and interview signal, executing step by step with commits and documentation, and building toward a serious portfolio piece. The README lays out a numbered list of build steps covering repository setup, a Docker Compose environment, the database schema, hypertable configuration, seeding over a million rows of data, basic analytics queries, a Go API, a Grafana dashboard, indexing, continuous aggregates, compression, retention policies, and a first documented performance case study. As of this snapshot, only the first five steps are marked done: repository setup, Docker Compose, the database schema, hypertable setup, and seeding the initial rows. The remaining steps, including the analytics queries, the Go API, the Grafana dashboard, and the performance case studies, are not started yet. The repository is organized into folders for the API, database migrations and seeds, queries, Grafana dashboards, documentation, and support style case write ups that will be filled in as later steps are completed. This project is best suited for someone who wants to see a real, in progress example of learning PostgreSQL and TimescaleDB for a support engineering role, rather than a finished, ready to use tool.