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Going off-heap to improve latency and reduce AWS bill

Posted by Venkatt Guhesan on February 16, 2017

java_logo_2bGreat read – shows you the power of Java and Chronicle Map.

Describing how going off-heap with the help of Chronicle Map helped us to get rid of the latency hiccups and cut our Amazon AWS bill in half.

Source: Going off-heap to improve latency and reduce AWS bill – Plumbr

Caution: Before you go diving into using the open source version of Chronicle Map, there are some gotchas to be aware of from a features point-of-view.

Chronicle Map could be persisted to disk. Durability with Chronicle Map is provided by another level of architecture, for example all requests are sent to several nodes – master and hot standby. Clustering/distributed architecture is out of the scope of the Chronicle Map project, there are projects on top of Chronicle Map which address these questions, e. g. Chronicle Enterprise.

If your needs are to persist off-heap data on the local JVM to disk (and to have multiple processes interact with data within one physical machine) then you can use the open-source edition but if your needs are to talk across JVMs that are across IPs (physical/virtual machines) for synchronization/replication features then you are looking at the closed source (paid) version of their product stack as seen from this link. Your needs may vary.

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