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Hazelcast Blog

Hazelcast IMDG 4.0 is Released

Greg Luck
by Greg Luck | Feb 04, 2020

I joined Hazelcast in January 2014 as employee number 12. At that time Hazelcast 3.1 was the current version. Since then, about every 7-8 months we have done a “minor” release, the latest of which is 3.12. Minor in the sense that they maintained binary compatibility. We added many features and improved many aspects of […]

An Easy Performance Improvement with EntryProcessor

Nicolas Frankel
by Nicolas Frankel | Feb 10, 2020

A lot of a developer’s work is about transforming and aggregating data: Increasing the quantity of a product in a shopping cart Applying VAT on the price of a product Computing the price of a shopping cart Etc… Sometimes, one needs the features of a full-fledged stream processing engine, such as Hazelcast Jet, sometimes not. […]

Persisting In-Memory Data for Later Usage

Nicolas Frankel
by Nicolas Frankel | Feb 06, 2020

Among the many capabilities of an in-memory data grid (IMDG), caching is one of the most well-known and used. However, as its name implies, data resides in memory. The memory is of finite capacity. In order not to put more data than memory can handle, we must decide how to curate it. Hazelcast comes with […]


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Hazelcast Delivers Ultra-Fast Cloud Application Performance in IBM Cloud Pak for Applications

Kelly Herrell
by Kelly Herrell | Nov 05, 2019

We are excited to announce that Hazelcast in-memory technologies are now available for sale from IBM with the IBM Cloud Pak™ for Applications. The Hazelcast in-memory computing platform is an ultra-fast processing architecture for mission-critical applications where microseconds matter. The world’s most data-centric companies complement their systems of record, such as databases, with in-memory solutions […]

Hazelcast IMDG 4.0 BETA is Released

Matko Medenjak
by Matko Medenjak | Nov 05, 2019

It is my pleasure to announce that after 6 years a new major version of Hazelcast has been released! This new release brings a breath of fresh air into Hazelcast while also being more robust than ever. We did try to keep enough familiarity to not surprise our users too much, but we also invested […]

In-Memory Computing for All (Ft. Intel Optane)

Dale Kim
by Dale Kim | Nov 05, 2019

If you had a choice of processing data in-memory versus not in-memory, all other things being equal, wouldn’t you always choose in-memory? You might not need the higher performance, but if it were available to you, you’d take it because faster is always better than slower, right? It would be wonderful if we lived in […]

Hazelcast Autoscaling with Horizontal Pod Autoscaler (HPA)

Mesut Celik
by Mesut Celik | Oct 30, 2019

Cloud technologies give you on-demand options so that you can create compute, disk, or network resources based on your requirements. When your demand changes, you update the infrastructure by releasing some resources or adding more. That is actually named “manual scaling” which is based on human intervention. Kubernetes is no different in this particular use […]

Hazelcast Jet 3.2 is Released

Can Gencer
by Can Gencer | Oct 23, 2019

We are excited to introduce Hazelcast Jet 3.2, the latest version of Hazelcast’s batch and stream processing platform. We’ve added a number of powerful capabilities that not only expands the addressable use cases, but also further simplifies your application development efforts. Stateful Mapping Operator Jet now has support for more general fault-tolerant, stateful operations that […]

How to Secure Your Hazelcast Cloud Deployments

Enes Akar
by Enes Akar | Oct 08, 2019

Securing your data is much more critical than ever before, as security breaches and cyber attacks continue to escalate. Security is a must, but generally, it requires tradeoffs in performance and user-friendliness. With Hazelcast Cloud, we provide you with several ways to secure your deployments without losing the performance and simplicity of Hazelcast.  Hazelcast Cloud […]

Hazelcast Jet Connectors Release Announcement

Emin Demirci
by Emin Demirci | Sep 18, 2019

Since the first release of Hazelcast Jet Extension Modules in July, we’ve been focused on enhancing the set of extension modules that we have to make the integration easy between Hazelcast Jet and third-party data providers.  Today, we are happy to announce the release of the following modules: MongoDB Connector MongoDB is a general-purpose, document-based, […]

Where Is My Cache? Architectural Patterns for Caching Microservices

Rafal Leszko
by Rafal Leszko | Sep 10, 2019

I’m sure you use caching somewhere in your system. This can be either to improve performance, reduce backend load, or to decrease downtime. Everybody uses caching. Caching is everywhere. However, in which part of your system should it be placed? If you look at the following diagram representing a simple microservice architecture, where would you […]

Redis Load Handling vs Data Integrity: Tradeoffs in Distributed Data Store Design

Greg Luck
by Greg Luck | Sep 04, 2019

Introduction We all know that selecting the right technology for your business-critical systems is hard. You first have to decide what characteristics are most important to you, and then you need to identify the technologies that fit that profile. The problem is that you typically only get a superficial view of how technologies work, and […]


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