Release 93.3: Confluent Schema References
Release Info
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helm repo add kpow https://charts.kpow.io
helm repo update
helm install --namespace factorhouse --create-namespace my-kpow kpow/kpow --version 1.0.57 \
--set env.LICENSE_ID="00000000-0000-0000-0000-000000000001" \
--set env.LICENSE_CODE="KPOW_CREDIT" \
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--set env.LICENSE_EXPIRY="2024-01-01" \
--set env.LICENSE_SIGNATURE="638......A51" \
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--set env.SECURITY_PROTOCOL="SASL_PLAINTEXT" \
--set env.SASL_MECHANISM="PLAIN" \
--set env.SASL_JAAS_CONFIG="org.apache.kafka.common.security.plain.PlainLoginModule required username=\"user\" password=\"secret\";"
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Kpow can be downloaded and installed as a Java JAR file. This JAR is compatible with Java 8.
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Factor House release v93.3 brings full support for schema references in Confluent Schema Registry.
With this new release you can now create and edit AVRO, JSONSchema, and Protobuf schema with references, as well as consume and produce messages with those schema.
This release also includes improved general performance by removing producer and transaction observation, improved visualisation of Kafka Streams, consumer group, and Flink topologies, a better responsive UI for smaller screens, along with plenty of minor bugfixes.
Confluent Schema Registry References
Confluent schema registry provides support for the notion of schema references, the ability of a schema to refer to other schemas.
Each implementation is slightly different depending on the source format, but broadly speaking you can pass a json payload when creating and editing schema that defines precisely how to resolve referenced schema in the registry. See the Confluent documentation on schema references for more information.
Kpow now provides full support for managing schema references when creating and editing schema as well as producing and consuming messages with those schema.
General Performance Improvements
User feedback led us to understand that out approach to observing active producers and transactions in a Kafka cluster was performing sub-optimally. We have taken the decision to remove the recently introduced Producers UI in the short-term while we reconsider this piece of work.
Improved Kafka Streams, Consumer, and Flink Topology Viz
As we move towards the launch of the Factor Platform - our Unified Platform for Data in Motion - some UI improvements are finding their way into Kpow and Flex.
Flink topology viewing just got a lot easier on the eye!
Release v93.3 Changelog
See the Factor House Product Roadmap to understand current delivery priorities.
Kpow v93.3 Changelog
See the full Kpow Changelog for information on previous releases
- Introduce support for schema reference management
- Improve performance with removal of producer and transaction observation
- Improve visualization of Kafka Streams and consumer group topologies
- Improve responsive UI for smaller resolution screens
- Improve Kpow Community wizard with templates
- Improve 'Create Connector' page with connector icons
- Improve connector auto-restart implementation
- Improve Kraft broker UI
- Improve MSK Managed Connect UI/UX
- Improve error messages when message production fails
- Improve OpenID Connect role claim ingestion
- Improve Kafka configuration observation
Flex v93.3 Changelog
See the full Flex Changelog for information on previous releases
- Improve responsive UI for smaller resolution screens
- Improve OpenID Connect role claim ingestion
- Improve flink topologies vizualisation
Release 94.6: Factor Platform, Ververica Integration, and kJQ Enhancements
The first Factor Platform release candidate is here, a major milestone toward a unified control plane for real-time data streaming technologies. This release also introduces Ververica Platform integration in Flex, plus support for Kafka Clients 4.1 / Confluent 8.0.0 and new kJQ operators for richer stream inspection.
Release 94.5: New Factor House docs, enhanced data inspection and URP & KRaft improvements
This release introduces a new unified documentation hub - Factor House Docs. It also introduces major data inspection enhancements, including comma-separated kJQ Projection expressions, in-browser search, and over 15 new kJQ transforms and functions. Further improvements include more reliable cluster monitoring with improved Under-Replicated Partition (URP) detection, support for KRaft improvements, the flexibility to configure custom serializers per-cluster, and a resolution for a key consumer group offset reset issue.
Release 94.4: Auto SerDes improvements
This minor hotfix release from Factor House resolves a bug when using Auto SerDes without Data policies, and adds support for UTF-8 String Auto SerDes inference.
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