Batch to streaming without freezing your roadmap
A phased plan for moving nightly jobs onto streaming pipelines, with parallel runs and a cutover you can roll back.
Notes on streaming, AI/RAG infrastructure, data reliability and migrations, from the engineers who run the pipelines.
A phased plan for moving nightly jobs onto streaming pipelines, with parallel runs and a cutover you can roll back.
Three ways for European companies to add data engineering capacity, what each really costs, and five questions that tell you which one fits.
Lag tells you whether consumers keep up. Alerting on its trend, not its size, catches stuck consumers before customers do.
Straight answers for CEOs and finance leads on stability, GDPR, contracts and travel when your engineering vendor is based in Moldova.
A data contract is a schema, an owner and a test at the boundary. Here is the smallest version that actually prevents incidents.
We offer two ways to try us before a long contract. Here is what each one is, what it costs, and which fits your situation.
Most RAG prototypes embed everything once. Production needs incremental updates, real deletions and an owner for freshness.
Retries, replays and redeliveries are normal in event pipelines. Here is the dedup-key pattern that keeps them from corrupting your numbers.