~/talks

Stephan Ewen

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titleconferencedate
Fixin the Hard Bits of Event Processing with Restate & KafkaBerlin Buzzwords 20242024-06-09
Claim: durable execution is the missing piece for transactional event-driven apps, playing the role stream processing plays for analytics. Uses Kafka as…
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Apache Flink in the Cloud-native EraFlink Forward Global 20212021-10-18
Apache Flink is moving toward cloud-native operations with concrete features: buffer debloating reduces in-flight data so checkpoints become snappier, aiming…
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Birds of a Feather Session - Stateful FunctionsFlink Forward Global 20212021-10-18
Stateful Functions announces a shipping JavaScript/TypeScript SDK, enables a new async non-blocking transport by default, and adds user-defined metrics; remote…
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Keynote | Flink Ahead: What Comes After Unified Batch & Streaming?Flink Forward Global Virtual 20202020-10-19
Flink claims unified batch/streaming now handles petabytes per day with SQL, and community releases cut TPC-DS (10 TB on 20 machines) runtimes by about 3x…
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Interview and AMA with the creators of Stateful FunctionsFlink Forward Global Virtual 20202020-10-19
Creators of Apache Flink’s Stateful Functions describe a runtime that exposes virtual actors with message passing and colocated durable state, using Flink…
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Stream Processing beyond Streaming DataITNEXT Summit 20192019-10-30
Apache Flink is presented as a unified runtime that runs streaming and batch workloads with stateful stream processing at scale — production deployments on…
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Stream Processing and Applications in the Modern AgeFlink Forward Europe 20192019-10-07
Flink reports a unified runtime push (notably Flink 1.9 with ~190 contributors and ~2,000 commits) and demonstrates a new project, Stateful Functions…
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Towards Flink 2.0: Rethinking the stack and APIs (...)Berlin Buzzwords 20192019-06-16
Explains why DataStream currently runs batch workloads much less efficiently than DataSet and lays out a concrete redesign: a new Flink stack with explicit…
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scale.bythebay.io: Stephan Ewen, Apache Flink and the Next Wave of Stream Processing ApplicationsScale By the Bay 20172017-11-16
Apache Flink is presented as a runtime for stateful stream computations that combines event-time watermarks, large in-process state and exactly-once guarantees…
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The State of Flink and how to adopt Stream ProcessingFlink Forward Berlin 20172017-09-11
Apache Flink powers large production pipelines and attendees report 2.1 trillion events/day processed by their Flink deployments; collaboration with Alibaba…
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Connecting Apache Flink and the Pravega Stream StoreFlink Forward Berlin 20172017-09-11
Pravega is a stream storage that stores unbounded streams by splitting them into mutable segments that can auto-scaling segments through split and merge and…
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Running Apache Flink everywhereFlink Forward Berlin 20162016-09-12
Claims a reworked process model called Flink Improvement Proposal 6 that splits Flink into resource manager, dispatcher, job manager, task manager so…
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KeynoteFlink Forward Berlin 20162016-09-12
Flink claims it eliminates trade-offs between volume, latency and accuracy and now runs at production scale: more than 200 contributors, an Alibaba deployment…
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Stream Processor as a Database: Building Online ApplicationsBerlin Buzzwords 20162016-06-05
Claims that serving live aggregates directly from the stream processor removes the KV-store bottleneck: prototype uses Apache Flink + Kafka with a Queryable…
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Apache Flink deep-dive #bbuzzBerlin Buzzwords 20152015-05-31
Apache Flink is a streaming dataflow engine that runs batch jobs as finite streams, implements barrier checkpoints (a Chandy‑Lamport variant) to get…
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