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This blog post provides an overview of how Apache Flink and Pravega Connector works under the hood to provide end-to-end exactly-once semantics for streaming data pipelines. Overview Pravega [4] is a storage system that exposes Stream as storage primitive for continuous and unbounded data. A Pravega stream is a durable, elastic, append-only, unbounded sequence of […]

The Pravega Segment Store Service is a subsystem that lies at the heart of the entire Pravega deployment. It is the main access point for managing Stream Segments, providing the ability to modify and read their contents. The Pravega Client communicates with the Pravega Stream Controller to identify which Segments need to be used (for […]

Pravega allows the state to be shared in a consistent fashion across multiple cooperating processes distributed in a cluster using a State Synchronizer. This blog details how to use State Synchronizer [1] to build and maintain consistency in a distributed application. State Synchronizer In distributed systems, frequently state needs to be shared across multiple instances […]

Several of the difficulties with tailing a data stream boil down to the dynamics of the source and of the stream processor. For example, if the source increases its production rate in an unplanned manner, then the ingestion system must be able to accommodate such a change. The same happens in the case a processor […]

Introduction Reading and writing is the most basic functionality that Pravega offers. Applications ingest data by writing to one or more Pravega streams and consume data by reading data from one or more streams. To implement applications correctly with Pravega, however, it is crucial that the developer is aware of some additional functionality that complements […]

Stream On with Pravega On stage: Pravega Stream processing is at the spotlight in the space of data analytics, and the reason is rather evident: there is high value in producing insights over continuously generated data shortly rather than wait for it to accumulate and process in a batch. Low latency from ingestion to result […]