Category: Hazelcast

Feed: Blog – Hazelcast. Author: Huseyin Babal. 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 to know: Cloud Provider Region Cluster Type Memory Hazelcast Version You can create a cluster based on the above parameters in GraphQL with the following mutation: mutation { createStarterCluster( input:{ name:"my-cluster", cloudProvider:"aws", region:"us-west-2", clusterType:SMALL, totalMemory:2, hazelcastVersion:VERSION_4_0 } ){ ... Read More

Feed: Blog – Hazelcast. Author: Enes Ozcan. 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 distributed ecosystem? Now, we are introducing Hazelcast Guides to help you get started! The guides are step-by-step, experiment focused, always up-to-date, and bite-sized samples where you can spend 10-15 minutes to gain experience with Hazelcast and various technologies ... Read More

Feed: Blog – Hazelcast. Author: Jiri Holusa. We are proud to announce the release of Hazelcast IMDG 4.1-BETA-1. It is a step toward the first minor release in the Hazelcast IMDG 4.x product line. Being a beta release, it provides a preview of the features coming in future releases and is not intended for production usage. Below, we highlight the most notable features and enhancements coming in this release. You can find the whole list of changes in the release notes. If you just can’t wait, download it immediately and get started. We’re very interested in your feedback, so don’t ... Read More

Feed: Blog – Hazelcast. Author: Bence Eros. From version 4.2020.08 of Hazelcast Management Center, it is possible to monitor Hazelcast clusters using Prometheus. This opens up a variety of monitoring and alerting capabilities. In this blog, we’ll go through some examples of configuring the Prometheus integration of Management Center and setting up graphs and alerts in Prometheus based on the Hazelcast metrics. The demo application that we want to monitor is a computation-focused IMDG application which receives integers (from a fake caller, for the sake of example), calculates the prime factors of the integer (the actual computation is off-loaded to ... Read More

Feed: Blog – Hazelcast. Author: Grzegorz Piwowarek. Today, we’re happy to announce the new version of our hazelcast-hibernate53 integration providing the second-level cache provider implementation for Hibernate 5.4. Besides various bug fixes and performance improvements, we introduced a few highly-requested features. New Features Asynchronous Client Reconnect with Fallback In order to increase resiliency, whenever a connection between a client and a server is lost, the second-level cache is bypassed until the connection gets established again. At the same time, the client tries to reconnect asynchronously to a cluster which can be configured using multiple parameters. If you want to switch back ... Read More

Feed: Blog – Hazelcast. Author: Andrey Goncharov. Large scale equals distributed. Distributed equals inevitable complexity. Complexity at runtime equals extensive monitoring. At Hazelcast, doing distributed systems well is our bread and butter. It means we have no choice but to be huge fans of collecting all kinds of metrics to stay on guard of the data our users trust us with. In Management Center 4.2020.08, we drastically changed the model of how we transfer the metric data from the cluster members to the Management Center, how we store it, and how we display it. In this post, we are going ... Read More

Feed: Blog – Hazelcast. Author: Huseyin Babal. On August 6, we detected and fixed a production issue that showed the wrong cluster status in Hazelcast Cloud Console. When you click the Stop Cluster button, it stays in Stopping state even after your cluster is shutdown. I was a bit confused since this system is already running for almost 2 years, but why did it happen recently?  In this article, I talk about how we are using Prometheus then provide more detail about the root cause of the issue and how we fixed it. Alert Management Architecture Hazelcast Cloud is based ... Read More

Feed: Blog – Hazelcast. Author: Mike Yawn. Note: An AWS-specific version of this blog post was previously posted here; in this version we’ve updated the content to cover deployments on Microsoft Azure as well as new features.  Hazelcast Cloud Enterprise is the new cloud-native managed service that allows you to quickly set up a cluster of Hazelcast IMDG nodes in a public cloud (Amazon Web Services or Microsoft Azure today, with Google GCP coming later this year), and have that cluster fully managed for you by Hazelcast. Setting up the cluster requires just a few steps, and we will take ... Read More

Feed: Blog – Hazelcast. Author: Emre Aydin. Management Center 4.2020.08 is released! Let’s see what this new release brings. Jet Support Previously, Management Center supported management and monitoring of only Hazelcast IMDG clusters and any Jet-specific tasks, such as job monitoring and snapshots, had to be managed via a separate dedicated Jet Management Center application. With this release, the two Management Centers have been unified into one application, offering a single, integrated monitoring and management tool for all the Hazelcast Cluster types. Jet users will now be able to take advantage of the security and operational features of Management Center, ... Read More

Feed: Blog – Hazelcast. Author: Neil Stevenson. 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 products to their chart and suddenly one of your application service replica crashes. As a result, users lose all their charts and get angry. That is not the outcome one expects from highly available services. That is why ... Read More