The situation. A client that needed to ingest and process serious volumes of streaming data, terabytes every day, and needed an architecture that could handle it reliably without an army to keep it running.
What I found. This is one of the few problems where microservices genuinely earn their keep. Most teams reach for them for the wrong reasons and pay for it in operational pain. Here the shape of the problem actually matched the shape of the solution: independent stages, very different scaling needs, and clear boundaries between them.
What we did. We defined the architecture together and built it. A streaming pipeline with services split where the data actually splits, and scaling designed around the volumes they were heading toward, not just the volumes they had.
The result. The system ingests and processes terabytes of data every day. It scales where it needs to and stays boring everywhere else, which is exactly what you want from infrastructure.
Thinking about microservices? Part of the free diagnostic is me telling you honestly whether you actually need them.
