Hazelcast Blog

Hazelcast Blog


Announcing Hazelcast Cloud GraphQL Explorer

Huseyin Babal
by Huseyin Babal | Sep 21, 2020

Today, we are happy to announce Hazelcast Cloud Public API support via GraphQL to provide more flexibility to automate Hazelcast Cloud clusters. If you have a Hazelcast Cloud account, you can go to GraphQL Explorer to try queries and mutations. Hands-on Examples Create Cluster In order to create a cluster in Hazelcast Cloud, you need […]

Non-Stop Client with Near Cache

Ayberk Sorgun
by Ayberk Sorgun | Sep 17, 2020

Imagine a client-server system that involves reading values from a data store. In the event of a connection failure with the server, the system will not be reading values. The consequences of such an event might be quite significant, including potentially costing money for a financial institution or time for a time-critical operation. If a […]

Hazelcast Guides are Live!

Enes Ozcan
by Enes Ozcan | Sep 15, 2020

Hazelcast is a swiss-knife for distributed computing. You can use it as cache, distributed lock, key-value store, pub/sub, computing platform, and many more. Hazelcast also has a rich array of integrations that allow you to deploy it in cloud environments, inside microservices, or connect with your Java EE applications. How to find yourself in this […]


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Spring Boot: Hazelcast for Session Replication

Rafal Leszko
by Rafal Leszko | Jul 24, 2020

NOTE: This is an updated version of a previous blog. This article contains updated information. You can use Hazelcast for HTTP session replication between multiple replicas of your Spring Boot application. For example, imagine that you have a classic example of an online shop with customer’s items stored in the session. Users start to add […]

Designing an Evergreen Cache with Change Data Capture

Nicolas Frankel
by Nicolas Frankel | Jul 20, 2020

It has been said that there are two things hard in software development, naming things and cache invalidation (while some add off-by-one errors to the mix). I believe that keeping the cache in sync with the source of truth might count as a third one. In this post, I’d like to tackle this issue, describe […]

Jet 4.2 is Released!

Can Gencer
by Can Gencer | Jul 14, 2020

Jet 4.2 is finally here! Here’s an overview of what’s new: Change Data Capture Support for MySQL and PostgreSQL Previously, Jet has had support for Debezium as a contrib package. We’re happy to announce that we’ve made several improvements to this package and decided to make this a part of our main release. Debezium was developed initially […]

How to set up Hazelcast on AWS ECS

Rafal Leszko
by Rafal Leszko | Jul 13, 2020

Hazelcast IMDG can be fairly simply configured to work on AWS ECS. This Blog Post presents this process step by step.

AWS Auto Scaling with Hazelcast

Rafal Leszko
by Rafal Leszko | Jul 01, 2020

Learn how to set up a Hazelcast cluster on AWS Auto Scaling group.

Announcing Quarkus Hazelcast Client Integration

Grzegorz Piwowarek
by Grzegorz Piwowarek | Jun 29, 2020

Today, we’re happy to announce the preview version of quarkus-hazelcast-client is publicly available and accessible via quarkus-platform and code.quarkus.io. Quarkus is a modern Kubernetes-native application framework leveraging Docker and GraalVM which allows it to achieve impressive performance and resource utilization while maintaining portability. Quarkus Hazelcast Client extension makes it convenient to configure Hazelcast Client and […]

Where Are My Keys ?

Neil Stevenson
by Neil Stevenson | Jun 25, 2020

It’s useful to understand how, why and where Hazelcast stores your data in the grid. What happens is what you really need, but it won’t necessarily be what you first think you want. We’ll explore this in this blog by putting some number keys in a map, a common starting point and source of confusion. […]

Hazelcast Helm Chart

Rafal Leszko
by Rafal Leszko | Jun 24, 2020

Learn how to use Hazelcast Helm Chart

Distributed Systems Covering Edge-to-Cloud (Part 2)

Lucas Beeler
by Lucas Beeler | Jun 16, 2020

Note: This post is part 2 of 2 on edge-to-cloud. You can read part 1 here.  Inside the Gateway: Edge-to-Cloud Stage 1 The edge-to-cloud pipeline begins inside the gateway, where two key tasks have to be performed: Data from sensors and devices must be captured in its raw form Sensor and device data must be […]


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