This newsletter from the Hiop team publishes technical posts on data engineering, including a Rust and Python JSON Schema validator and guides to lakehouse architectures and data pipelines for software teams. Readers get practical architecture advice and product-led explanations, though the excerpts lean toward promotion of Hiop's own tools.
Website: https://blog.hiop.io/
An engineering blog from the team building Sequin, a Postgres change data capture tool, covering pipeline architecture, delivery guarantees and product launches. Readers get detailed technical explanations of Elixir GenStage back-pressure, CDC duplicate handling and the design of Sequin's features.
This newsletter documents hands-on experiments with data platform technologies, such as agentic apps, small decision-focused LLMs and the evolution of dbt, and explains what the results mean for platform owners. Each issue pairs a first-person narrative with a built demo app, walkthrough video and comparison results.
Krzysztof Słowiński writes practical essays on preparing data foundations for AI at growth-stage startups, covering shadow data pipelines, stale data catalogues that mislead AI agents, and ungoverned unstructured documents. Readers get concrete failure modes from real engagements and a clear argument for governance and ownership over quick AI shortcuts.
AnomalyArmor's blog covers data engineering practice: alert storms in data monitoring, when data contracts are worth adopting, and where dbt tests stop and data observability begins. Readers get concrete, opinionated explanations with examples for data teams deciding how to catch pipeline failures.
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