Kafka Summit San Francisco 2017
2017-08-28
San Francisco, United States
| title | author | length |
|---|---|---|
| PREVIEW: Running Kafka as a Service at Scale | Sriram Subramanian | 05m |
NOTE: This is a preview. All Kafka Summit videos available in full at https://confluent.io/kssf17 | In this talk, we will look at what Confluent has done along… | ||
| PREVIEW: Event-Driven Services with Stateful Streams | Ben Stopford | 05m |
Makes the concrete claim that you can build stateful, request‑response capable services on top of stream processing rather than separate databases, using Kafka… | ||
| PREVIEW: Kafka Connect Best Practices | Randall Hauch | 05m |
Overview of the Kafka Connect framework with concrete steps: how to deploy several data integration pipelines using source and sink connectors, how to… | ||
| PREVIEW: Running Kafka for Maximum Pain | Todd Palino | 04m |
Operational choices that accumulate technical debt and cause outages get named and quantified: LinkedIn runs about two trillion messages a day, a single… | ||
| PREVIEW: Multi-Tenant, Multi-Cluster, Hierarchical Messaging | Allen Wang | 05m |
Netflix runs a hierarchical, multi-cluster Kafka service that handles over a trillion messages per day by allocating topics to shared or dedicated clusters… | ||
| PREVIEW: Scaling Kafka Across Multiple Data Centers | Gwen Shapira | 04m |
Content focuses on real failure modes and concrete recovery steps for Kafka spanning data centers, not high-level theory: covers controller and replica… | ||
| PREVIEW: “Interactive Queries” in Kafka’s Streams API | Matthias Sax | 06m |
Preview demonstrates that Kafka Streams exposes Interactive Queries so applications directly query local state stores instead of an external database… | ||
| PREVIEW: Real-time Stream Processing at Scale | Amy Boyle | 06m |
New Relic describes switching to a streaming system built on Kafka to avoid a tenfold scaling nightmare, running 90 brokers across 600 topics and 4,000… | ||
| PREVIEW: Kafka Stream Processing for Everyone with KSQL | Nick Dearden | 08m |
KSQL claims to make stream processing accessible by exposing SQL-like operations built on Kafka Streams so users can do common tasks without Java. It… | ||
| PREVIEW: 1 Day, 1 Data Hub, 100 Billion Messages | Yuto Kawamura | 05m |
LINE feeds 100+ billion daily messages into Kafka for messaging, analytics and backups, with producers sending structured events, HTTP RPC payload logs and… | ||
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