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.
No posts were found matching that criteria.
As we have announced earlier, Jet 4.0 is out! In this blog post, we aim to give you the lower-level details needed for migrating from older versions. Jet 4.0 is a major version release. According to the semantic versioning, we apply, this means that in version 4.0 some of the API has changed in a […]
On Monday, Speedment and Hazelcast announced a partnership focused on accelerating application development when deploying an in-memory data grid alongside legacy databases. The following post was written by Speedment’s CTO, Per-Åke Minborg. What if you want to use a Hazelcast In-Memory Data Grid (IMDG) to speed up your database applications, but you have hundreds of […]
Misagh Moayyed recently published this blog post with the title, “Apereo CAS High-Availability with Hazelcast and Kubernetes“. In this post, Misagh discusses how to solve one of the primary concerns when deploying a highly available CAS server. When it comes to deploying a highly available CAS server, one of the chief concerns is to choose […]
Piotr Szybicki recently published this blog post with the title, “Hazelcast on GCP (google cloud platform) part 2“. In this post, Piotr discusses the process of deploying and securing a Hazelcast IMDG cluster in GCP (Google Cloud Platform). This is part of a multi-part series. Find part 1 here: Hazelcast on GCP (google cloud platform) […]
Piotr Szybicki recently published this blog post with the title, “Hazelcast on GCP (google cloud platform) part 1“. In this post, Piotr discusses the process of deploying and securing a Hazelcast IMDG cluster in GCP (Google Cloud Platform). In this article I am going to discuss the process of deploying, securing hazelcast cluster in to […]
*Rolando Santamaria Maso recently published a blog post entitled, In-Memory, Distributed Data Structures for the masses. * This article is about In-Memory Data-Structures. But this time, about the “magic” ones: Lists, Maps, Queues, Locks, Streams… that works distributed across multiple nodes and across different runtimes (Java, C#, C++, Node.js, Python, Go). Motivations I had the […]
Volkan Yazici recently published this blog post with the title, “Guice Integration in Hazelcast“. In this post, Volkan gives a short tutorial on integrating Guice with your Hazelcast IMDG project. For many occassions I find the distributed ExecutorService of Hazelcast (aka. IExecutorService) pretty convenient to turn a set of nodes into a tamed cluster waiting […]
Tomas Kloucek recently published a bitbucket post entitled, Cluster Leader Election with Spring Integration in Hazelcast. In the post, Tomas demonstrates a method for fine-grained control of Microservice and IMap interaction with Hazelcast and Spring. Recently when checking Spring Integration area I noticed of pretty nice integration with Hazelcast datagrid. Check this out at: https://github.com/spring-projects/spring-integration-extensions/tree/master/spring-integration-hazelcast […]
Marut Signh recently published a blog post entitled, “Vert.x Cluster”. In the post, Marut gives a short tutorial on embedding Vert.x into your Hazelcast IMDG project. Vert.x is an extremely simple event based, non blocking, library for distributed computing that can be easily embedded in any Java framework of your choice. For sometime now I […]
There are no more posts.