Category: In-Memory Data Grid

This category contains posts concerning the configuration, maintenance, and optimization of In-Memory Data Grids.

Jepsen Analysis on Hazelcast 3.8.3

Jepsen Analysis Kyle Kingsbury (aka @aphyr) has prepared an analysis of Hazelcast IMDG 3.8.3 using his Jepsen tool, as he has many other distributed systems over the last four years. We are the first In-Memory Data Grid (IMDG) to be…

Hazelcast IMDG 3.8 EA is Out

I am excited to introduce Hazelcast IMDG 3.8 Early Access. It is “Early Access”, we do not recommend using this in production because we have not tested it intensely yet. You can however use it in your development phase in…

Hazelcast Discovery SPI

Your Perception of the Network Service Discovery or Network Exploration Eureka, Zookeeper, Consul and others, Service Discovery is an integral part of almost all of the new elastically scaling software systems. Instances or nodes of the application space can come,…

Hazelcast: The Backbone of IOT (Internet of Things)

What is the Internet of Things? The Internet of Things (IoT) has evolved from the convergence of new mobility-enabling technologies such as the proliferation of public WiFi access, cellular devices, RFID technologies, and micro electromechanical systems, with the latest computing…

Introducing Hazelcast Striim Hot Cache

Today, we are thrilled to announce the availability of Hazelcast Striim Hot Cache. This joint solution with Hazelcast’s in-memory data grid uses Striim’s Change Data Capture to solve the cache consistency problem. With Hazelcast Striim Hot Cache, you can reduce…

Hazelcast Serialization Performance

Externalizer4J recently published a blog post entitled, “Hazelcast Serialization Performance“. In the post you’ll see how Externalizer4J can create DataSerializable implementations with the same performance as hand coded logic. A few years ago Peter Veentjer wrote an interesting post which…

Introduction to Hazelcast HD Memory

Background One of the most common problems that organizations face today is dealing with their ever evolving data (often to referred to as the problem of the 4 ‘V’s. See graphic below). This data is exploding at lightning speed and…