Hi, That sounds a bit like needing a full, cross-app, cross-network transaction/call tracing, and not something specific or limited to Kafka, doesn't it?
Otis -- Monitoring * Alerting * Anomaly Detection * Centralized Log Management Solr & Elasticsearch Support * http://sematext.com/ On Mon, Jan 5, 2015 at 2:43 PM, Bhavesh Mistry <mistry.p.bhav...@gmail.com> wrote: > Hi Kafka Team/Users, > > We are using Linked-in Kafka data pipe-line end-to-end. > > Producer(s) ->Local DC Brokers -> MM -> Central brokers -> Camus Job -> > HDFS > > This is working out very well for us, but we need to have visibility of > latency at each layer (Local DC Brokers -> MM -> Central brokers -> Camus > Job -> HDFS). Our events are time-based (time event was produce). Is > there any feature or any audit trail mentioned at ( > https://github.com/linkedin/camus/) ? But, I would like to know > in-between > latency and time event spent in each hope? So, we do not know where is > problem and what t o optimize ? > > Any of this cover in 0.9.0 or any other version of upcoming Kafka release > ? How might we achive this latency tracking across all components ? > > > Thanks, > > Bhavesh >