Technology
Apache Kafka
Event streaming at scale — partition strategy, consumer lag, throughput tuning, and back-pressure under peak load.
Stable consumer lag under burst
Higher sustainable throughput
Predictable partition balance
Capabilities
How we use Apache Kafka
Practical patterns validated under load — not tool demos.
Partition and key design
Avoid hot partitions and rebalance skew that limit throughput during traffic spikes.
Producer and consumer tuning
Batch sizes, fetch settings, and concurrency tuned for latency vs throughput trade-offs.
Load test integration
Simulate publish/consume patterns that mirror production fan-out, retries, and replay.