Hazelcast Blog

Hazelcast Blog


Hazelcast IMDG Achieves IBM’s Kubernetes Container Software Certification

Mesut Celik
by Mesut Celik | May 26, 2020

Building containerized software that runs on Kubernetes platforms like Red Hat OpenShift Cloud Platform is the hot trend in software development. Everyone is building containers, but the technology is new enough that best practices and certifications are still being developed. IBM specializes in providing software for enterprises. An example of this software is IBM Cloud […]

Getting Started with Hazelcast on Azure Kubernetes Service

Sharath Sahadevan
by Sharath Sahadevan | May 18, 2020

This blog shows you how you can install Hazelcast on Azure Kubernetes Service (AKS) and connect to the cluster using an Hazelcast client. Here are the steps to get Hazelcast up and running on AKS.         Set up AKS on your Azure account           Use the Azure portal […]

How Hazelcast Jet Compares to Apache Spark

Vladimir Schreiner
by Vladimir Schreiner | May 14, 2020

“How Jet compares to Spark” and “why should I choose Jet over Spark” are arguably the most frequent questions I’ve been asked during the talks and workshops. While it is hard to assess the product fit without focusing on a concrete use-case, I’d still like to compare concepts and architecture used under the hood of […]


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Hazelcast with Istio Service Mesh

Mesut Celik
by Mesut Celik | Dec 09, 2019

Istio is said to be the next thing if you follow the Kubernetes path, and service meshes are mentioned whenever you go to a cloud-native meetup or conference like KubeCon. However, you do not always leverage something for the sake of popularity. The Hazelcast-Istio support discussion was started by a user after a GitHub issue […]

Hazelcast Resilient to Kubernetes Zone Failures

Rafal Leszko
by Rafal Leszko | Dec 03, 2019

Data is valuable. Or I should write, some data is valuable. You may think that if the data is important to you, then you must store it in the persistent volume, like a database or filesystem. This sentence is obviously true. However, there are many use cases in which you don’t want to sacrifice the […]

Stream Deduplication with Hazelcast Jet

Jaromir Hamala
by Jaromir Hamala | Nov 12, 2019

Hazelcast Jet 3.2 introduces stateful map, filter, and flatmap operations, which are very strong primitives. In this blog, I am going to show you how to use stateful filter for detecting and removing duplicate elements in a stream. Why Deduplication? Deduplication is often used to achieve idempotency or effectively-once delivery semantics in messaging systems. Imagine […]

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 […]

Right-Sizing Your On-Demand Infrastructure for Payment Processing in Any Cloud

Dan Ortega
by Dan Ortega | Oct 17, 2019

In an ideal world, consumer-facing online businesses would deliver a consistent, efficient, and secure payment processing experience to their customers. Although there are lots of variables in running an e-commerce site, completing the sale is pretty much at the top of the list. When consumers go online to make purchases during a busy period such […]


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