Release 83: Bulk Import, Multi-Produce, kJQ Search
Release Info
Kpow can be found on Dockerhub
docker pull operatr/kpow:83View our Docker quick start guide for help getting started.
Kpow can be found on ArtifactHub
Helm version: 1.0.24
helm repo add kpow https://charts.kpow.io
helm repo update
helm install --namespace factorhouse --create-namespace my-kpow kpow/kpow --version 1.0.24 \
--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+.
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.
View our JAR quick start guide for help getting started.
For more information, read the Kpow accessibility documentation.
Kpow v83 features bulk message import, multi-message produce, improved kJQ filters, Github Teams RBAC integration, MSK IAM authentication, and more.
Multi-Produce
See: Data Produce Documentation.
Data Inspect
See: Data Inspect and kJQ Filter documentation.
A simplified form now supports memory of previously selected serdes, multiple result-sets at once and the option to switch to classic mode
Upgraded kJQ filters support multiple predicates joined by logical operators and optional parenthesis for explicit precedence. Context-highlighting, auto-completion, a filter memory (press the arrow-up key to see previous filters) and quick query execution (hit shift-enter from within the kJQ entry field).
Audit Log
Data Inspect queries are now recoded in the Kpow Audit Log.
This gives Kpow admins fine grained visibility of user data access.
Github Teams
Kpow supports Github Teams as user-roles in RBAC policies, see: Github SSO documentation.
AWS IAM Auth
Kpow supports IAM Access Control for AWS MSK., see Kpow MSK IAM Documentation.
Release v83 Changelog
See the Factor House Product Roadmap to understand current delivery priorities.
Kpow v83 Changelog
See the full Kpow Changelog for information on previous releases
- Producing multiple messages at once.
- Import messages in bulk in JSON, EDN, or CSV format.
- Move individual messages from Data Inspect to Data Produce.
- Send all results from a Data Inspect query to Data Produce.
- Edit messages in place before production or create entirely new messages.
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.
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