Peter Veentjer

Peter Veentjer

Introducing Pipelining in Hazelcast IMDG 3.12

by Peter Veentjer — Feb 27, 2019

Hazelcast IMDG 3.12 contains a new performance optimization called pipelining. If you have a client/server with a 1ms round trip...

Introducing Ringbuffer

by Peter Veentjer — Aug 12, 2015

Hazelcast Ringbuffer is a new data-structure added to Hazelcast 3.5 that in some cases can be a more practical alternative...

HZ 3.5 Performance: Selector Imbalance

by Peter Veentjer — Jul 16, 2015

Performance, especially predictable performance, becomes a higher priority with every Hazelcast release. One of the performance issues in releases prior...

Simulator 0.4 released!

by Peter Veentjer — Apr 15, 2015

Internally the Performance/QA team is using a tool called the Simulator to simulate load on a Hazelcast cluster and see...

HZ 3.3 Client Performance Almost Doubled

by Peter Veentjer — Aug 26, 2014

In Hazelcast 3.2 client/member performance is not the same as member/member performance. For example, if we get String values from...

Performance Top 5 #2 Serialization options

by Peter Veentjer — Jun 14, 2014

This is the second of five blogposts how to improve performance in Hazelcast applications. When accessing data in Hazelcast, e.g....

Performance Top 5 #1 Map.put vs Map.set

by Peter Veentjer — Apr 8, 2014

This is the first in a series of 5 blogposts about how to speed up Hazelcast applications. Some modifications are...

AtomicReference and function methods

by Peter Veentjer — Mar 14, 2014

One of the new features in Hazelcast 3.2, which is going to be released in January, is the IAtomicReference. The IAtomicReference is the distributed version of the Java AtomicReference and can be created like this: This will create/load the IAtomicReference with the name ‘foo’. We already had the IAtomicLong, but the IAtomicReference is more versatile […]

Kryo Serializer

by Peter Veentjer — Oct 16, 2013

A week ago I was called in to help a large online webshop with a problem. They are using Hazelcast as a large cache, since with Hazelcast the data can be distributed over multiple machines and with a database this is a lot more complicated. The problem was that they could not keep enough products […]

In-Memory Format

by Peter Veentjer — Sep 21, 2013

When a value is stored in a normal HashMap, the actual instance is stored. This works fine because the HashMap is not a distributed data-structure and therefor everything can be done in the same memory space. The Hazelcast IMap is distributed data-structure, so storing a value created one one machine and reading it on a […]

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