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Artifacts published with release 80.
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Kpow v80 provides a brand new Kafka Streams UI with the GA release of the open-source Kpow Streams Agent.
Also included in this release is multi-topic inspect by regex or consumer group, new 'freshness' metrics for topics and consumer groups, configurable columns for all tabular data, and a number of minor bug fixes and improvements.
Kafka Streams UI
Kpow provides a top-level UI for Kafka Streams applications.
Configure the open-source Kpow Streams Agent and quickly see summary metrics on stream activity, reads, and lag. Use the Kpow Workflows UI to dive into topology visualisation.

Topic Search by Regex or Group
Kpow's powerful Data Inspect functionality allows you to inspect multiple topics at once, and now you can specify topics by regex, or choose to inspect the same topics being consumed by a consumer group.

Freshness Metrics
See how long it has been since a topic was produced to or a consumer group read a message - right down to a topic partition or group assignment level.
Three new metrics are exposed via Prometheus for alerting purposes:
- topic_production_inactive_mins
- topic_consumption_inactive_mins
- group_consumption_inactive_mins

Configurable Columns
As we introduce even more power to the Kpow UI, some of the tabular data has become a little crowded - so now you can choose the columns to display for each table, and see a simple description of what each column represents.

Changelog
Kpow v80
- New Kafka Streams UI
- GA open-source Kpow Streams Agent
- Multi-topic search by topic regex
- Multi-topic search by group
- Topic and consumer group freshness metrics
- Exposed topic and consumer inactivity via Prometheus
- Configurable columns for tabular data
- Topic read/s metric
- Under-replicated partitions count in summary data
- Fixed 'in-sync?' and controller broker UI regressions
- Open client websocket session count metrics
- Reduced Kpow internal topic disk usage