Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This paper is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
Microservices, as an architectural approach, has shown a great deal of benefit over the legacy style of monolithic single applications. Nevertheless, microservices are not without their drawbacks. The purpose of this white paper is to show first steps for using Spring Boot and Hazelcast IMDG® contribute to the microservices landscape, enhancing the benefits and alleviating some of the common downsides.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
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Table of Contents
Overall RadarGun configuration
Zing reduces full GC pauses.
So we would expect this to reflect in average latencies and, because larger full GCs are avoided,
much more so in the largest max latencies. And this is what we found.
The average was reduced by 40%. The 99.99th percentile max latency was only 8ms for Zing
but 55ms for HotSpot.
We conclude that Hazelcast® with Azul Zing JVM has lower latency and much lower variability
for more predictable latencies. This in turn allows Hazelcast to fit into tighter response time SLAs.
These results are applicable to small heap sizes where Hazelcast is storing small amounts of data of 500MB to 1.5Gb
per node and are relevant to Hazelcast and Hazelcast Enterprise.
Note that in Hazelcast Enterprise HD, we store data off heap and only run with a small heap.
So a similar benefit to one in these tests with 1 to 2GB heaps would be realized.
See below for summaries of results for 1GB and 2GB heap cases and the extensive test results further down.
Average response time for Get of 0.8ms versus for Get of .5ms for Zing
Max response for 99th percentile for Get of 2ms compared to 2ms for Zing
Max response for 99.99th percentile for Get of 40ms compared to 8ms for Zing
Max response for 99.99th percentile for Get of 55ms compared to 8ms for Zing