This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
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 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 […]
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 […]
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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. […]
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 […]
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 […]
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 […]
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 […]
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 […]
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