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Data Platform · Sub-service
Real-time Streaming & Serving
Event streams and low-latency serving for product features, alerts, and AI context.
Summary
Event streams and low-latency serving for product features, alerts, and AI context.
Problem
What teams are stuck with
Batch-only stacks cannot power live personalization or ops alerts.
Ad-hoc polling hammers APIs and still feels stale.
Offerings
What we deliver
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01
Event bus design
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02
Stream processing jobs
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03
Feature/context serving
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04
Alerting pipelines
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05
Replay and audit
Approach
How we work it
Introduce event contracts and stream processors where freshness matters.
Serve features and context caches with clear TTLs.
Backpressure and replay as design requirements.
Outcomes
What good looks like
- Seconds-level freshness where it counts
- AI agents with live context
- Resilient event-driven products
Related
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