Distributed In Memory Processing And Streaming With Hazelcast


September 14th, 2020

44 mins 7 secs

Your Host

About this Episode


In memory computing provides significant performance benefits, but brings along challenges for managing failures and scaling up. Hazelcast is a platform for managing stateful in-memory storage and computation across a distributed cluster of commodity hardware. On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems.


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  • Your host is Tobias Macey and today I’m interviewing Dale Kim about Hazelcast, a distributed in-memory computing platform for data intensive applications


  • Introduction
  • How did you get involved in the area of data management?
  • Can you start by describing what Hazelcast is and its origins?
  • What are the benefits and tradeoffs of in-memory computation for data-intensive workloads?
  • What are some of the common use cases for the Hazelcast in memory grid?
  • How is Hazelcast implemented?
    • How has the architecture evolved since it was first created?
  • How is the Jet streaming framework architected?
    • What was the motivation for building it?
    • How do the capabilities of Jet compare to systems such as Flink or Spark Streaming?
  • How has the introduction of hardware capabilities such as NVMe drives influenced the market for in-memory systems?
  • How is the governance of the open source grid and Jet projects handled?
    • What is the guiding heuristic for which capabilities or features to include in the open source projects vs. the commercial offerings?
  • What is involved in building an application or workflow on top of Hazelcast?
  • What are the common patterns for engineers who are building on top of Hazelcast?
  • What is involved in deploying and maintaining an installation of the Hazelcast grid or Jet streaming?
  • What are the scaling factors for Hazelcast?
    • What are the edge cases that users should be aware of?
  • What are some of the most interesting, innovative, or unexpected ways that you have seen Hazelcast used?
  • When is Hazelcast Grid or Jet the wrong choice?
  • What is in store for the future of Hazelcast?

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Parting Question

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The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

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