9 Side notes JAX London 2016

Overview

Session: 12th Oct — 12:00 to 12:50 Four Distributed Systems Reference Architectures by Tim Berglund, DataStax

Notes

• Presentation slides.
• Distributed systems characteristics:
  • The computers operate concurrently
  • The computers fail independently
  • The computers do not share a global clock
• Sharding the architecture is ok, but sharding the DB is KO
• Bounded (batch) vs Unbounded (streaming)
  • Apache beam with Frances Perry: Unbounded data streaming architectures podcast.
• Streaming architectures:
  • Apache Beam: Apache Beam is an open source, a unified programming model that you can use to create a data processing pipeline.
  • Apache Flink: Flink’s core is a streaming data flow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
  • Apache Storm: Apache Storm is a free and open source distributed real-time computation system
  • The future of streaming architectures: FAAS. Function as a Service. Extreme microservices.
  • Serverless.com: Build applications comprised of microservices that run in response to events.
• And much more details into Academy Datastax

That was all for this session.

Many thanks for reading, please leave a comment if you have any quality hint.

Keep on testing, better!