The latest news, releases, and articles from Factor House
This minor release from Factor House introduces support for GCP MSK and new feature improvements such as data inspect display options, AVRO Date Logical Type formatting, flat CSV export, and fixes a bug in consumer offset reset!
This major version release from Factor House improves consumer offset management, Kafka Streams telemetry, extra data inspect capabilities and new Helm Charts!
This minor version release from Factor House improves protobuf rendering, sharpens light-mode, simplifies community edition setup, resolves a number of small bugs, and bumps Kafka client dependencies to v3.7.0.
Introducing 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.
Kpow can now auto restart connectors when they fail.
Read on to learn how to make connectors more reliable.
Kpow now offers a secure, vendor-agnostic OpenAPI 3.1 REST API for managing Kafka, Kafka Connect, and Schema Registry resources.
Read on to learn how to integrate Kpow with your product or GitOps pipeline using Kpow's new REST API modules.
Our mission at Factor House is to empower every engineer in the streaming tech space with superb tooling.
We are pleased to report that Kpow for Apache Kafka is now compliant with WCAG 2.1 AA accessibility guidelines and has an independently audited Voluntary Product Accessiblity Template (VPAT) report.
Release v92.3 introduces extensive UI accessibility improvements to Kpow and Flex along with new features, improvements, and bug fixes.
Release v92.2 introduces new UI for Kafka Quotas, Transactional Producers, and KRaft clusters along with new features for topic and consumer management and improvements to Flink checkpointing and watermarking in Flex.
Kpow v92.1 closes a large number of support tickets, introduces new features like multi-topic create and time-since URP, and improves the efficieny of Kafka Connect and Schema Registry observation.