Apache Flink® - Stateful Computations over Data Streams



All streaming use cases
  • Event-driven Applications
  • Stream & Batch Analytics
  • Data Pipelines & ETL
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Guaranteed correctness
  • Exactly-once state consistency
  • Event-time processing
  • Sophisticated late data handling
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Layered APIs
  • SQL on Stream & Batch Data
  • DataStream API & DataSet API
  • ProcessFunction (Time & State)
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Operational Focus
  • Flexible deployment
  • High-availability setup
  • Savepoints
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Scales to any use case
  • Scale-out architecture
  • Support for very large state
  • Incremental checkpointing
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Excellent Performance
  • Low latency
  • High throughput
  • In-Memory computing
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Apache Flink's Application to Season of Docs

The Apache Flink community is happy to announce its application to the first edition of Season of Docs by Google. The program is bringing together Open Source projects and technical writers to raise awareness for and improve documentation of Open Source projects. While the community is continuously looking for new contributors to collaborate on our documentation, we would like to take this chance to work with one or two technical writers to extend and restructure parts of our documentation (details below).

Apache Flink 1.8.0 Release Announcement

The Apache Flink community is pleased to announce Apache Flink 1.8.0. The latest release includes more than 420 resolved issues and some exciting additions to Flink that we describe in the following sections of this post. Please check the complete changelog for more details.

Flink and Prometheus: Cloud-native monitoring of streaming applications
This blog post describes how developers can leverage Apache Flink's built-in metrics system together with Prometheus to observe and monitor streaming applications in an effective way.
What to expect from Flink Forward San Francisco 2019
The third annual Flink Forward conference in San Francisco is just a few weeks away. Let's see what Flink Forward SF 2019 has in store for the Apache Flink and stream processing communities. This post covers some of its highlights!
Monitoring Apache Flink Applications 101
The monitoring of business-critical applications is a crucial aspect of a production deployment. It ensures that any degradation or downtime is immediately identified and can be resolved as quickly as possible. In this post, we discuss the most important metrics that indicate healthy Flink applications.