APPLICATIONcheckout-api3,240 records/s
KAFKA CONSUMER LAGSee the lag.
See the lag.
Find the partition behind it.
Prioritize consumer groups by known lag, worst partition, group state, members, and coverage - then move directly into the topic, offsets, records, or dependency flow.
PRACTICAL GUIDE
Consumer lag is useful only when its coverage is honest.
Lag is the difference between a sampled partition end offset and the consumer group’s committed offset. Missing commits, unavailable offsets, retention movement, and partial sampling can make a neat total misleading.
BetterKafka keeps known partitions separate from unknown ones, shows the worst sampled partition, and carries that context into Flight Deck. Operators can distinguish a real growing backlog from an incomplete observation before resetting anything.
Lag-first summaries
Sort groups by known total lag and worst-partition lag without converting unknown assignments to zero.
Member assignments
Inspect active members, protocols, topic partitions, committed offsets, and sampled end offsets.
Movement over time
Use bounded browser-session history to separate a transient spike from a sustained backlog.
Guarded offset resets
Preview offset targets and execute only with the selected cluster capability, role, reason, and short-lived plan.
OPERATOR WORKFLOW
From signal to answer.
Rank the affected groups
Filter by state and topic, then sort on known lag or the worst sampled partition.
Check coverage
Compare known versus total assignments and keep uncommitted or unavailable offsets visible as unknown.
Follow the dependency
Open the topic or Flight Deck link and correlate append rate, consume rate, lag, and connected resources.
Reset only when justified
Preview the proposed offsets and preserve an operator reason and structured result.
COMMON QUESTIONS
What teams need to know.
Why can lag be unknown?
A partition may have no committed group offset, its end offset may be unavailable, or the bounded sample may not include it.
Does a lag of zero always mean healthy?
No. BetterKafka distinguishes an observed zero from missing coverage so an unavailable value is never presented as reassuring.
Can BetterKafka reset consumer offsets?
Yes, when the cluster capability and authenticated user role allow it; the action uses a preview and guarded mutation plan.
Is lag history stored forever?
No. The current product provides bounded browser-session movement history, not a durable time-series database.
SELF-HOSTED KAFKA OPERATIONS
Try it on one cluster. Decide from evidence.
BetterKafka keeps the trial path as focused as the operator workflow.