Eric Sammer is a seasoned technology leader and CEO with 17 years building and scaling distributed systems, data infrastructure, and production data pipelines from the hands-on level to executive leadership. He has led engineering and product strategy at companies including Decodable, Splunk, and Rocana and authored the industry reference "Hadoop Operations," reflecting deep operational expertise. An active open-source contributor, his work on projects like Apache Flume and the Kite SDK focuses on reliability, tailing sources, partitioned datasets and tooling that move large-scale log and dataset processing from prototype to production. Known for teaching and public speaking, he blends practical systems engineering with a knack for explaining complex operational patterns to engineers and operators. Based in San Francisco, he combines networking, systems, and data-management roots with a founder’s pragmatism for delivering resilient, observable platforms.
WE HAVE MOVED to Apache Incubator. https://cwiki.apache.org/FLUME/ . Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.
Role in this project:
Back-end Developer
Contributions:83 commits in 8 months
Contributions summary:Eric primarily worked on fixing bugs and implementing features related to the `TailSource` component of the Flume project. They addressed permission issues and race conditions within the tailing source, improving its reliability. The user also contributed to the logical node mapping functionality, ensuring duplicate assignments are handled correctly. Furthermore, they implemented shell commands and service interfaces for retrieving logical/physical mappings.
Contributions summary:Eric primarily focused on improving the codebase of the Kite SDK. Their commits involved fixing bugs, such as incorrect file parsing, and bumping library versions like Avro. They also added new features, such as the HDFSDatasetWriter, and test cases. The user refactored the dataset structure and implemented partition capabilities, demonstrating a focus on improving data handling and storage functionalities.
hadoopjavasdkkite
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