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Major Release | Official Announcement of AutoMQ Version 1.0.0 GA
AutoMQ version 1.0.0 GA is officially released in the GitHub repository (https://github.com/AutoMQ/automq). We welcome everyone to follow and download it for use. We confidently believe that version 1.0.0 can serve as a GA version for production environments mainly based on the following facts:
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Stable long-term running using our self-developed Long Running automated testing framework, providing comprehensive, long-term verification of compatibility, stability, and performance for the GA version.
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Stable long-term running using our self-developed Long Running Chaos automated testing framework, allowing normal and timely recovery from various fault injection scenarios including network issues and disk hangs.
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Stable long-term E2E testing, covering all test cases of Apache Kafka (especially Kraft-related parts), totaling 387 test cases.
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Support for unified and complete metrics exposure, enabling comprehensive monitoring of AutoMQ and meeting production standards.
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Numerous optimizations and improvements in the kernel to ensure AutoMQ meets our GA standards in terms of functionality and performance. The performance whitepaper can be viewed in the official documentation.
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Refined and validated in real scenarios by multiple early users of AutoMQ.
- What is automq: Overview
- Difference with Apache Kafka
- Difference with WarpStream
- Difference with Tiered Storage
- Compatibility with Apache Kafka
- Licensing
- Deploy Locally
- Cluster Deployment on Linux
- Cluster Deployment on Kubernetes
- Example: Produce & Consume Message
- Example: Simple Benchmark
- Example: Partition Reassignment in Seconds
- Example: Self Balancing when Cluster Nodes Change
- Example: Continuous Data Self Balancing
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S3stream shared streaming storage
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Technical advantage
- Deployment: Overview
- Runs on Cloud
- Runs on CEPH
- Runs on CubeFS
- Runs on MinIO
- Runs on HDFS
- Configuration
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Data analysis
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Object storage
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Kafka ui
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Observability
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Data integration