Revin,
We instrument our data pipeline and Kafka applications using both with wall
time within our consumers and stream processors, and in a separate
application that measures end-to-end latency in our data processing
pipelines. We report these metrics to a metric aggregator, which in our
case is
Hi there,
In our company, we are running multiple Kafka Streams app that are deployed
in a red/black fashion. A deployment means starting a new set of hosts, run
them in parallel with the old hosts until they pass the health check, and
then scale down the old hosts. This approach works very well