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    <title>kafka</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/791/feed"/>
    <updated>2026-04-26T12:49:44+00:00</updated>
    <id>https://links.biapy.com/guest/tags/791/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12283</id>
            <title type="text"><![CDATA[kafkactl]]></title>
            <link rel="alternate" href="https://deviceinsight.github.io/kafkactl/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12283"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A command-line interface the simplifies interaction with Kafka.

- [kafkactl @ GitHub](https://github.com/deviceinsight/kafkactl).]]>
            </summary>
            <updated>2026-03-24T15:48:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12282</id>
            <title type="text"><![CDATA[AKHQ]]></title>
            <link rel="alternate" href="https://akhq.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12282"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Manage &amp;amp; view data inside your Apache Kafka ® cluster

Kafka GUI for Apache Kafka ® to manage topics, topics data, consumers group, schema registry, connect and more...

- [AKHQ @ GitHub](https://github.com/tchiotludo/akhq).]]>
            </summary>
            <updated>2026-03-24T15:47:07+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11969</id>
            <title type="text"><![CDATA[StreamHouse]]></title>
            <link rel="alternate" href="https://github.com/gbram1/streamhouse" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11969"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[S3-native event streaming. One binary, zero ops.

StreamHouse is an Apache Kafka alternative that stores events directly in S3. No broker fleet, no disk management, no replication — just S3&amp;#039;s 99.999999999% durability out of the box.

S3-native streaming platform. A Kafka alternative with infinite scalability, 10x lower cost, and Kafka-compatible APIs. Written in Rust.]]>
            </summary>
            <updated>2026-03-02T06:50:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11165</id>
            <title type="text"><![CDATA[Walrus]]></title>
            <link rel="alternate" href="https://github.com/nubskr/walrus" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11165"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[🦭 High Performance kafka alternative written in rust.

Walrus is a distributed message streaming platform built on a high-performance log storage engine. It provides fault-tolerant streaming with automatic leadership rotation, segment-based partitioning, and Raft consensus for metadata coordination.]]>
            </summary>
            <updated>2025-12-05T12:53:58+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/10721</id>
            <title type="text"><![CDATA[Code-First CDC to ClickHouse with Debezium, Redpanda, and MooseStack]]></title>
            <link rel="alternate" href="https://github.com/514-labs/debezium-cdc" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/10721"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easy-to-run demo of a CDC pipeline using Debezium (Kafka Connect), PostgreSQL, Redpanda, and ClickHouse.]]>
            </summary>
            <updated>2025-10-20T06:22:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/716</id>
            <title type="text"><![CDATA[Event Destinations Initiative]]></title>
            <link rel="alternate" href="https://eventdestinations.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/716"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A model for event interoperability between event producers and their consumers to favor better developer experience, robust integration, and infrastructural efficiency. 

- [Event Destinations Initiative @ GitHub](https://github.com/hookdeck/event-destinations).]]>
            </summary>
            <updated>2025-08-28T17:58:14+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/785</id>
            <title type="text"><![CDATA[Buf]]></title>
            <link rel="alternate" href="https://buf.build/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/785"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The best way of working with Protocol Buffers. Kafka and gRPC for the modern age.

Store directly to Apache Iceberg™ tables and guarantee data quality with Bufstream, a drop-in replacement for Apache Kafka® deployed entirely in your own VPC on AWS, GCP, or Azure.

The buf CLI is the best tool for working with Protocol Buffers. It provides:

- A linter that enforces good API design choices and structure.
- A breaking change detector that enforces compatibility at the source code or wire level.
- A generator that invokes your plugins based on configuration files.
- A formatter that formats your Protobuf files in accordance with industry standards.
- Integration with the Buf Schema Registry, including full dependency management.

- [Buf @ GitHub](https://github.com/bufbuild/buf).]]>
            </summary>
            <updated>2026-03-24T15:40:19+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1113</id>
            <title type="text"><![CDATA[Sequin]]></title>
            <link rel="alternate" href="https://sequinstream.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1113"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The fastest Postgres change data capture.

Stream data from Postgres directly to Kafka, Redis, and more. Replace complex tools like Debezium and consolidate workflows. 

- [Sequin @ GitHub](https://github.com/sequinstream/sequin).

Related contents:

- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).]]>
            </summary>
            <updated>2025-08-28T19:02:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1114</id>
            <title type="text"><![CDATA[Maxwell&amp;#039;s Daemon]]></title>
            <link rel="alternate" href="https://maxwells-daemon.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1114"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[This is Maxwell&amp;#039;s daemon, a change data capture application that reads MySQL binlogs and writes data changes as JSON to Kafka, Kinesis, and other streaming platforms.

- [Maxwell&amp;#039;s Daemon @ GitHub](https://github.com/zendesk/maxwell).

Related contents:

- [Change Data Capture Tools @ Dev Genius&amp;#039; Medium](https://blog.devgenius.io/change-data-capture-tools-c0e4ee4434ac).]]>
            </summary>
            <updated>2025-08-28T19:02:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1153</id>
            <title type="text"><![CDATA[Apache Kafka]]></title>
            <link rel="alternate" href="https://kafka.apache.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1153"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Related contents:

- [Why Was Apache Kafka Created? @ Big Data Stream](https://bigdata.2minutestreaming.com/p/why-was-apache-kafka-created).

- [Apache Kafka @ GitHub](https://github.com/apache/kafka).

Related contents:

- [The New Look and Feel of Apache Kafka 4.0 @ The New Stack](https://thenewstack.io/the-new-look-and-feel-of-apache-kafka-4-0/).
- [Kafka: The End of the Beginning @ Materialized View](https://materializedview.io/p/kafka-end-of-beginning).
- [Optimizing Kafka Tracing with OpenTelemetry: Boost Visibility &amp;amp; Performance @ New Relic](https://newrelic.com/blog/how-to-relic/optimizing-kafka-tracing-with-opentelemetry-boost-visibility-performance).
- [Introducing Apache Kafka® 4.1.0: What’s New and How to Upgrade @ Confluent](https://www.confluent.io/blog/introducing-apache-kafka-4-1/).
- [Testing Kafka-based Asynchronous Workflows Using OpenTelemetry @ Signadot](https://www.signadot.com/blog/testing-kafka-based-asynchronous-workflows-using-opentelemetry).
- [Kafka is fast -- I&amp;#039;ll use Postgres @ TopicPartition](https://topicpartition.io/blog/postgres-pubsub-queue-benchmarks).
- [The KFC Architecture Blueprint: Kafka, Flink, and ClickHouse @ Big Data Boutique](https://bigdataboutique.com/blog/kfc-architecture-blueprint-kafka-flink-and-clickhouse).
- [Episode #147 - RabbitMQ, Kafka et les messages brokers @ Code Garage :fr:](https://code-garage.com/podcast/classic/episode-147).]]>
            </summary>
            <updated>2026-03-19T07:15:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2103</id>
            <title type="text"><![CDATA[Broccoli]]></title>
            <link rel="alternate" href="https://github.com/densumesh/broccoli" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2103"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A robust message queue system for Rust applications, designed as a Rust alternative to Celery. 

Currently Redis-backed, with planned support for RabbitMQ, Kafka, and other message brokers. This is by no means a finished product, but we&amp;#039;re actively working on it and would love your feedback and contributions!]]>
            </summary>
            <updated>2025-08-28T21:46:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2868</id>
            <title type="text"><![CDATA[Bufstream]]></title>
            <link rel="alternate" href="https://buf.build/product/bufstream" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2868"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The best way of working with Protocol Buffers.  Elastic, self-hosted Kafka with Advanced Semantic Intelligence
Guarantee streaming data quality and slash cloud costs 10x with Bufstream, a drop-in replacement for Apache Kafka®.

Bufstream is a Kafka-compatible streaming system which stores records directly in an object storage service like S3.

- [Buf @ GitHub](https://github.com/bufbuild/buf).
- [Bufstream 0.1.0 @ Jebsen](https://jepsen.io/analyses/bufstream-0.1.0).]]>
            </summary>
            <updated>2025-08-28T23:54:30+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3046</id>
            <title type="text"><![CDATA[FastStream]]></title>
            <link rel="alternate" href="https://faststream.airt.ai/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3046"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source framework for building asynchronous web services that interact with event streams.

 FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis. 

- [FastStream @ GitHub](https://github.com/airtai/faststream).]]>
            </summary>
            <updated>2025-08-29T00:24:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3062</id>
            <title type="text"><![CDATA[Trench]]></title>
            <link rel="alternate" href="https://www.trench.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3062"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open source analytics infrastructure. Fast and scalable. No bloat. GDPR compliant.

A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events, users, page views, and interactions. 

- [Trench @ GitHub](https://github.com/FrigadeHQ/trench).]]>
            </summary>
            <updated>2025-08-29T00:28:23+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3487</id>
            <title type="text"><![CDATA[AutoMQ]]></title>
            <link rel="alternate" href="https://www.automq.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3487"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Source Available Reinvented Kafka. 10x Cost Efficiency.

AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency. 

 AutoMQ is a stateless Kafka on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability. 

- [AutoMQ @ GitHub](https://github.com/AutoMQ/automq).

Related contents:

- [What If We Could Rebuild Kafka From Scratch? @ Gunnar Morling](https://www.morling.dev/blog/what-if-we-could-rebuild-kafka-from-scratch/).]]>
            </summary>
            <updated>2025-08-29T01:37:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4806</id>
            <title type="text"><![CDATA[Gravitee.io]]></title>
            <link rel="alternate" href="https://www.gravitee.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4806"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[API Management Platform. Govern, Secure &amp;amp; Manage APIs and Event Streams.

Try the first-ever event-native API Management solution that natively supports synchronous REST APIs, asynchronous APIs, and event brokers like Kafka and MQTT.

- [Gravitee.io @ GitHub](https://github.com/gravitee-io).]]>
            </summary>
            <updated>2025-08-29T05:19:01+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6333</id>
            <title type="text"><![CDATA[Akvorado]]></title>
            <link rel="alternate" href="https://github.com/akvorado/akvorado" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6333"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Flow collector, enricher and visualizer.
This program receives flows (currently Netflow/IPFIX and sFlow), enrice them with interface names (using SNMP), geo information (using MaxMind), and exports them to Kafka, then ClickHouse. It also exposes a web interface to browse the collected data.]]>
            </summary>
            <updated>2025-08-29T09:33:15+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6687</id>
            <title type="text"><![CDATA[Strimzi]]></title>
            <link rel="alternate" href="https://strimzi.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6687"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Apache Kafka on Kubernetes in a few minutes. Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations.

[Strimzi @ GitHub](https://github.com/strimzi).]]>
            </summary>
            <updated>2025-08-29T10:31:44+00:00</updated>
        </entry>
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