Release 85: Data Masking Improvements

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Release Info

Kpow can be found on Dockerhub

docker pull operatr/kpow:85

View our Docker quick start guide for help getting started.

Kpow can be found on ArtifactHub

Helm version: 1.0.26

helm repo add kpow https://charts.kpow.io
helm repo update
helm install --namespace factorhouse --create-namespace my-kpow kpow/kpow --version 1.0.26 \
--set env.LICENSE_ID="00000000-0000-0000-0000-000000000001" \
--set env.LICENSE_CODE="KPOW_CREDIT" \
--set env.LICENSEE="Your Corp\, Inc." \
--set env.LICENSE_EXPIRY="2024-01-01" \
--set env.LICENSE_SIGNATURE="638......A51" \
--set env.BOOTSTRAP="127.0.0.1:9092\,127.0.0.1:9093\,127.0.0.1:9094" \
--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\";"
--set env.LICENSE_CREDITS="7"

View our Helm instructions for help getting started.

Kpow can be found on the AWS Marketplace

View our AWS Marketplace documentation for help getting started.

Kpow can be downloaded and installed as a Java JAR file. This JAR is compatible with Java versions 11+.

Download Kpow Java JAR

View our JAR quick start guide for help getting started.

Kpow can be downloaded and installed as a Java JAR file. This JAR is compatible with Java 8.

Download Kpow Java 8 JAR

View our JAR quick start guide for help getting started.

Download VPAT
Factor House publish a VPAT (Voluntary Product Accessibility Template) for each release.

For more information, read the Kpow accessibility documentation.

Kpow v85 features improved Data Masking support and a new ConsumerOffsets serdes in Data Inspect.

Data Masking Granularity

Kpow allows you to mark PII or sensitive data in Data Inspect results, now you can specify Data Policies with finer granularity - to a key, value, or headers level.

E.g. this Data Policy applies ShowLast4 redaction to every topic, masking credit-card fields in the value of any message but leaving headers and keys unredacted.

policies:
  - name: Credit Card
    category: PII
    resources:
      - [ 'cluster', '*', 'topic', '*', 'value' ]
    redaction: ShowLast4
    type: non-scalar
    fields: [ credit_card, creditcard, pan ]

Release v85 Changelog

See the Factor House Product Roadmap to understand current delivery priorities.

Kpow v85 Changelog

See the full Kpow Changelog for information on previous releases

  • Data Policies now support an optional Header, Key, or Value resource
  • Data Inspect now includes a ConsumerOffsets serdes.
  • Improved Audit Log performance.
Release 95.1: A unified experience across product, web, docs and licensing

95.1 delivers a cohesive experience across Factor House products, licensing, and brand. This release introduces our new license portal, refreshed company-wide branding, a unified Community License for Kpow and Flex, and a series of performance, accessibility, and schema-related improvements.

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.

Start your streaming transformation today.

 Try both Kpow or Flex free for 30 days with a single license - no credit card required.