Data & Analytics
Real-Time Analytics
Event streams processed in close to real time, for cases where a daily batch is genuinely too slow. We will tell you when it is not.
In short
Streaming data acted on as it arrives.
What we deliver
- Event schema design with versioning
- Stream processing with exactly-once semantics where required
- Late and out-of-order event handling
- Alerting on stream lag, not just failure
A good fit when
- A fraud, safety or stock decision cannot wait for tomorrow
- Dashboards are hours behind the business
- Devices emit telemetry nobody is reading
Technologies and methods
Chosen for each project, to fit your systems and your team.
- Kafka
- Python
- Redis
How we deliver
From first conversation to production.
Four stages on every engagement, scaled to the size of the project.
- 1
Understand
Clarify the users, goals, constraints, and current systems.
- 2
Plan
Map the main components, data, and integrations before implementation.
- 3
Build
Develop and review the work in small, testable increments.
- 4
Prepare
Plan deployment, operations, documentation, and ownership.
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Interested in Real-Time Analytics?
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.