High queue lag and unpredictable processing times during traffic spikes
From ingestion to downstream actions, we help teams process events safely and predictably in production.
High queue lag and unpredictable processing times during traffic spikes
Message loss or duplicate processing due to weak idempotency controls
Limited tracing across producers, brokers, and consumers
Operational blind spots around retry storms and dead-letter queues
Process large event volumes with partitioning strategies, consumer group tuning, and backpressure controls.
Prevent duplicates and race conditions with dedupe keys, exactly-once patterns, and safe retry logic.
Implement metrics, tracing, and alerting for queue depth, lag, throughput, and failure rates.
Design robust dead-letter handling, replay strategies, and automated rollback paths for failed pipelines.
Map producers, topics, schemas, and service dependencies; establish baseline throughput and failure metrics.
Define topic strategy, schema versioning, delivery semantics, and consumer ownership boundaries.
Build processors, automate contract tests, and validate latency and stability under realistic traffic profiles.
Deploy observability, runbooks, and incident workflows for continuous reliability improvements.
Reduced event-to-action latency from 18 seconds to under 2 seconds across checkout, fulfillment, and notification flows.
Learn moreImplemented idempotent processors and replay tooling that cut duplicate transaction incidents by 94%.
Learn more“The new event backbone gave us near real-time visibility and removed the operational fire drills we were seeing each week.”
Platform Engineering Lead (Name Withheld)
Regional Payments Company (Identity Protected)