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Hello JSON, Hello YAML and Goodbye XML!

Neil Stevenson

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 […]

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Riding the CP Subsystem

Ensar Basri Kahveci

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 […]

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In-Memory Data Grids Popularity Trend Continues Upward

David Brimley

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 […]

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How Pairing In-Memory Streaming with IoT Will Fundamentally Change Your Business

Dan Ortega

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 […]

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What CAP Theorem Means to a Business Leader

Dan Ortega

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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Transformational Drivers and In-Memory Data Grids

Dan Ortega
by Dan Ortega | November 15, 2018

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, […]

Apereo CAS High-Availability with Hazelcast and Kubernetes

by Hazelcast Community | November 14, 2018

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 […]

Hazelcast Helm Chart

Rafal Leszko
by Rafal Leszko | November 05, 2018

Learn how to use Hazelcast Helm Chart

Hazelcast expands technical and business conversation at Oracle Code One

Dan Ortega
by Dan Ortega | October 30, 2018

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, […]

Hazelcast IMDG 3.11 is Released

by Matko Medenjak | October 23, 2018

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 […]

Ways to Enrich Your Event Stream with Hazelcast Jet

by Marko Topolnik | October 17, 2018

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 […]

Announcing Hazelcast Jet 0.7

by Can Gencer | October 10, 2018

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 […]

Hazelcast on GCP (google cloud platform) part 2

by Hazelcast Community | September 19, 2018

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) […]

Hazelcast On Kubernetes Made Fairly Easy

Neil Stevenson
by Neil Stevenson | September 17, 2018

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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