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Twitter Open Sources Stream Processing Engine Heron
InfoQ's Rags Srinivas caught up with Karthik Ramasamy, co-creator and engineering manager at Twitter, regarding the Open Sourcing of the Stream-Processing engine Heron, a successor for Apache Storm.
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Data Streaming Architecture with Apache Flink
Jamie Grier recently spoke at OSCON 2016 Conference about data streaming architecture using Apache Flink. He talked about the building blocks of data streaming applications and stateful stream processing with code examples of Flink applications and monitoring.
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Amazon Releases Kinesis Service Update
Amazon has recently announced an update to their Amazon Kinesis Service. In this update, three new features have been added to Amazon Kinesis Streams and Amazon Kinesis Firehose including support for Elasticsearch Service Integration, Shard-Level Metrics and Time-Based Iterators.
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Operational Data Stream and Batch Processing at Netflix with Mantis
Operational Data Stream and Batch Processing at Netflix with Mantis
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Yahoo! Benchmarks Apache Flink, Spark and Storm
Yahoo! has benchmarked three of the main stream processing frameworks: Apache Flink, Spark and Storm.
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Twitter Open-Sources its MapReduce Streaming Framework Summingbird
Twitter has open sourced their MapReduce streaming framework, called Summingbird. Available under the Apache 2 license, Summingbird is a large-scale data processing system enabling developers to uniformly execute code in either batch-mode (Hadoop/MapReduce-based) or stream-mode (Storm-based) or a combination thereof, called hybrid mode.