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Real-time Stream Computing & Analytics @Uber
Sudhir Tonse discusses using stream processing at Uber: indexing and querying of geospatial data, aggregation and computing of streaming data, extracting patterns, TimeSeries analyses and predictions.
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Open Source Swift Under the Hood
Alex Blewitt talks about Swift and looks at the open source project, how applications and libraries can be built, the differences between the different builds and how Swift works under the hood.
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Stream Processing with Apache Flink
Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.
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The Case for Bringing Swift to the Server
Patrick Bohrer and Chris Bailey present a preview of IBM latest cloud deployment configurations, Swift package-based cloud services, tools integration, and their plan to bring Swift to the server.
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Flying Faster with Heron
Karthik Ramasamy presents the design and implementation of Heron, the new de facto stream data processing engine at Twitter. Ramasamy shares Twitter’s experience of running Heron in production.
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Rethinking Streaming Analytics for Scale
Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.
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Connecting Stream Processors to Databases
Gian Merlino discusses stream processors and a common use case - keeping databases up to date-, the challenges they present, with examples from Kafka, Storm, Samza, Druid, and others.
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Broken Performance Tools
Brendan Gregg focuses on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive. He advises on how to approach new performance tools.
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Microservices Chaos Testing at Jet
Rachel Reese talks about Jet.com's chaos testing methods and code in depth, but also lays out a path to implementation that everyone can use.
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Spring Framework 5 - Preview & Roadmap
Juergen Hoeller talks about the key themes in Spring 5, support for Java 8, comprehensive support for JDK 9, a strong focus on HTTP/2, and first-class support for Spring-style reactive architectures.
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The Quest for Low-latency with Concurrent Java
Martin Thompson focuses on algorithms which provide very high throughput while keeping latency low and predictable, discussing the concurrency theory and implementing these algorithms in Java 8.
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Engineering You
Martin Thompson talks about the characteristics of a good software engineer and explores the individual practices and techniques that can help bring out the engineer in everybody.
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