Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This guide is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service
is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
This is an example showing the use of YAML configuration, and populating a Hazelcast grid with data in JSON format that has been extracted from a traditional relational database. So the data goes from tables into “NoSQL” format. Hello YAML, Goodbye XML Hazelcast has many ways to be configured. Sensible defaults mean you don’t have […]
The CP Subsystem of Hazelcast IDMG 3.12 offers a new linearizable implementation of Hazelcast’s concurrency APIs on top of the Raft consensus algorithm. These implementations live alongside AP data structures in the same Hazelcast IMDG cluster (new BFFs, yay!). You can store large data sets on hundreds of Hazelcast members and coordinate your operations using […]
The past year has seen in-memory data grids (IMDG) continue to gain traction with the development community and large organisations alike. As you’ll see in the 2019 IMDG LinkedIn Survey results below, adoption of IMDG as a skill in LinkedIn profiles has risen by 43% YoY. Companies are turning to IMDGs as replacements for RDBMS […]
Knock-knock Your business is already under assault, whether you know it or not. It doesn’t matter whether you’re B2B or B2C; the same technology variables are driving pressure on your IT infrastructure. The growth of the global technology ecosystem has always been organic. While new technologies often layer on top of previous enablers (e.g. mobility […]
The data we continuously generate and use operates on an incredibly vast scale (think of Google, Amazon, Facebook, that level of data). Because of the breadth and depth of infrastructure required to stream incoming data and execute against it (and to avoid single points of failure), the ingestion and processing of data is distributed across […]
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One of the rewards of a career in technology is experiencing first hand the constant, pervasive, game changing nature of innovation. Every few years something really big comes along, and the entire world leaps forward at once. Recent examples include the rise of the Internet, followed by mobility, followed by the move to the Cloud, […]
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 […]
Learn how to use Hazelcast Helm Chart
Hazelcast just came off three very busy days at Oracle Code One, which was the developer focused sub-event from Oracle Open World. In spite of (or perhaps because of) Oracle’s pivot from Java-centric to a more polyglot developer focus the attendance was significant. The key takeaways for this year’s event were: Compared to previous years, […]
Upcoming Webinar: What’s New in Hazelcast 3.11, November 6th Register Now! We are pleased to announce the production-ready release of Hazelcast IMDG 3.11. A lot of effort has been put into making this release the most feature complete and the most stable release so far: 1,600+ commits merged 787 pull requests 301 issues closed 178 […]
In Hazelcast Jet 0.7 you have several options to enrich your data stream, varying in simplicity, flexibility and performance characteristics. This article shows you how to pick the right one. What is Data Enrichment The main purpose of Hazelcast Jet is to process infinite distributed streams of events. An almost universal first processing step is […]
We are happy to announce the release of Hazelcast Jet 0.7. This release brings lots of new features as well as the launch of our Jet Management Center product. Job Elasticity and Graceful Shutdown In previous versions of Jet, it was possible to automatically restart a job from where it left off using snapshots if […]
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) […]
An step-by-step example to running Hazelcast on Kubernetes, the classic “Hello World” style beginners introduction. The sample includes instructions and screenshots for running on Mac. The process is essentially the same for Windows or Linux, although for Windows you will need a version that supports the appropriate networking (Windows 10 Professional not Windows 10 Home, […]
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