Scalability in distributed in-memory systems

День 1 /  / Зал 3  /  RU / For practicing engineers

Platforms for distributed in-memory computing such as Apache Ignite rely on horizontal scaling. The bigger the cluster is, the bigger profit you get. Does adding a second machine double the performance? Does adding ten more give you and order of magnitude change? Is it always this way? What is the responsibility of a framework, and what is responsilbility of a developer?

In this talk we'll examine the most important compromises and contradictions that arise while designing applications with the in-memory systems:

  • Pros and cons of different sharding techniques
  • Data model adaptation for effective work in a cluster
  • Problems of synchronization and coordination in distributed systems

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Vladimir Ozerov
GridGain Systems

Architect at GridGain. Committer and PMC member of OSS project Apache Ignite. Deals with distributed computing, caching and replication, .NET/C++ integration, development of modules for the Hadoop ecosystem.

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