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.
You want to build a Kubernetes Operator for your software. Which tool to choose from? Operator SDK with Helm, Ansible, or Go? Or maybe start from scratch with Python, Java, or any other programming language? In this blog post, I discuss different approaches to writing Kubernetes Operators and list each solution’s pros and cons. All […]
Hazelcast is built on open source foundations. It’s part of our DNA, and we strive to uphold open source values in our day-to-day work. This commitment allows external contributors to make Hazelcast better so that the whole community can benefit from a collective effort. No contribution is too small, but, indeed, some of our community […]
As you may already know, the Hazelcast In-Memory Data Grid (IMDG) ecosystem includes a variety of clients for different languages and runtimes, which includes Node.js client library as a part of that list. You can use Hazelcast clients in various cases, including, but not limited to the following: Building a multi-layer cache for your applications […]
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We are excited to announce the production-ready release of Hazelcast IMDG 4.1. Below, we highlight the most notable features and enhancements implemented in this release. You can find the list of changes in the release notes. Before we dive into the details, we want to share a few numbers: It took exactly 9 months since the […]
Hazelcast is pleased to announce the first of three Hazelcast professional credentials. The Developer Essentials credential is issued to engineers who have completed basic training on developing applications that incorporate the Hazelcast platform to perform stream processing, in-memory computing, and in-memory storage. Credential-holders have hands-on practice in creating distributed data structures, distributed computing jobs, and […]
Today we’re releasing Hazelcast Jet 4.3, our fourth release of 2020! We took part in Google Summer of Code that ended just a few weeks ago, and this release already brings a production-ready piece of work by our student, Mohamed Mandouh: distributed in-memory sorting. Mohamed’s primary focus was research into the feasibility of integrating RocksDB […]
Hazelcast Node.js client 4.0 is now available! Let’s see what are the main changes in this new release. Hazelcast Client Protocol 2.0 Node.js client now uses Hazelcast Open Binary Client Protocol 2.0, which has a number of enhancements and serialization improvements when compared with 1.x. For the end-user, it means that the client now supports […]
At Hazelcast, open source is not only a business model; it’s the foundation of our company. We believe in the right of users to access, read, and improve upon our work. Because we know that it’s not easy to get started in open source in general, especially within a specific project, we participated in this […]
From Wikipedia, Reactive Programming is “a declarative programming paradigm concerned with data streams and the propagation of change.” The programming model is complex to master. It requires a lot of experience to feel comfortable with it. However, there’s no denying that it fits the cloud ecosystem perfectly. Since on-premises infrastructure is oversized, running a program […]
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