Real-time Processing

Honestly, a lot of businesses that ask for real-time only need it for one or two specific workflows, like fraud checks or live inventory, while the rest of their reporting is fine on a batch schedule. We map out which decisions genuinely need sub-second data and only build real-time infrastructure around those, because streaming systems cost more to run and maintain than batch ones.

Real-time infrastructure generally costs more to build and run because it requires always-on processing rather than scheduled jobs, and pricing depends heavily on data volume and how many systems it has to integrate with. We scope it against your actual event volume so you're not paying for streaming infrastructure sized for traffic you don't have.

Yes — we build the pipeline to write into your existing databases and trigger your existing alerting or automation tools rather than introducing a separate system your team has to monitor. The goal is that a fraud flag or inventory alert shows up where your team already looks, not in a new dashboard.

We build in backpressure handling and buffering so a sudden spike in events gets queued and processed in order rather than overwhelming downstream systems or dropping data. We also load-test against realistic peak scenarios before going live, not just average daily volume.