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Announcing Hazelcast Cloud Enterprise GA on AWS

by Seb Benmbarek | Mar 31, 2020

Today, we’re happy to announce the general availability of Hazelcast Cloud Enterprise on AWS. This much-anticipated release will make it even easier for solution architects and developers with a need for extra-low latency to leverage the power of Hazelcast IMDG within their cloud technology stack. What is Hazelcast Cloud Enterprise? Even though we already offer […]

Getting Started with Hazelcast Cloud Enterprise

Mike Yawn
by Mike Yawn | Mar 31, 2020

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 cloud (Amazon Web Services today, with Google GCP and Microsoft Azure coming later this year), and have that cluster fully managed for you by Hazelcast. Setting up the cluster requires […]

Transactional Connectors in Hazelcast Jet

by Villiam Ďurina | Mar 27, 2020

Hazelcast Jet is a distributed stream processing engine that supports exactly-once semantics even in the presence of cluster member failures. This is achieved by snapshotting the internal state of the processors at regular intervals into reliable storage and then, in case of a failure, using the latest snapshot to restore the state and continue. However, […]

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Persisting In-Memory Data for Later Usage

Nicolas Frankel
by Nicolas Frankel | Feb 06, 2020

Among the many capabilities of an in-memory data grid (IMDG), caching is one of the most well-known and used. However, as its name implies, data resides in memory. The memory is of finite capacity. In order not to put more data than memory can handle, we must decide how to curate it. Hazelcast comes with […]

Hazelcast IMDG 4.0 is Released

Greg Luck
by Greg Luck | Feb 04, 2020

I joined Hazelcast in January 2014 as employee number 12. At that time Hazelcast 3.1 was the current version. Since then, about every 7-8 months we have done a “minor” release, the latest of which is 3.12. Minor in the sense that they maintained binary compatibility. We added many features and improved many aspects of […]

Announcing the Hazelcast Community License

Greg Luck
by Greg Luck | Jan 30, 2020

Today, Hazelcast is moving to a three-license software licensing model:  Apache 2.0 for the core of our systems, consistent with our history A new source-available Hazelcast Community License A proprietary license for selected Enterprise operational features, consistent with our history The license model change will have no impact on users and is only intended to […]

How to Set Up Your Own On-Premises Hazelcast on Kubernetes

Rafal Leszko
by Rafal Leszko | Jan 27, 2020

Hazelcast loves Kubernetes. Thanks to the dedicated Hazelcast Kubernetes plugin, you can use dynamic auto-discovery. Hazelcast on Kubernetes can also run in multiple topologies: embedded, client-server, or as a sidecar. What’s more, thanks to the Helm package manager and the dedicated Hazelcast Helm Chart, you can deploy a fully functional Hazelcast server in literary minutes. […]

Bitcoin’s Death Cross

Neil Stevenson
by Neil Stevenson | Jan 06, 2020

Let’s start off the New Year with a fun code example! This example shows how Jet is used to spot the dramatically-named Death Cross for the price of Bitcoin, which is an indication to sell, Sell, SELL!. The idea here is that we could automatically analyze stock market prices and use this information to guide […]

Hazelcast with Istio Service Mesh

Mesut Celik
by Mesut Celik | Dec 09, 2019

Istio is said to be the next thing if you follow the Kubernetes path, and service meshes are mentioned whenever you go to a cloud-native meetup or conference like KubeCon. However, you do not always leverage something for the sake of popularity. The Hazelcast-Istio support discussion was started by a user after a GitHub issue […]

Hazelcast Resilient to Kubernetes Zone Failures

Rafal Leszko
by Rafal Leszko | Dec 03, 2019

Data is valuable. Or I should write, some data is valuable. You may think that if the data is important to you, then you must store it in the persistent volume, like a database or filesystem. This sentence is obviously true. However, there are many use cases in which you don’t want to sacrifice the […]

Stream Deduplication with Hazelcast Jet

Jaromir Hamala
by Jaromir Hamala | Nov 12, 2019

Hazelcast Jet 3.2 introduces stateful map, filter, and flatmap operations, which are very strong primitives. In this blog, I am going to show you how to use stateful filter for detecting and removing duplicate elements in a stream. Why Deduplication? Deduplication is often used to achieve idempotency or effectively-once delivery semantics in messaging systems. Imagine […]

Hazelcast Delivers Ultra-Fast Cloud Application Performance in IBM Cloud Pak for Applications

Kelly Herrell
by Kelly Herrell | Nov 05, 2019

We are excited to announce that Hazelcast in-memory technologies are now available for sale from IBM with the IBM Cloud Pak™ for Applications. The Hazelcast in-memory computing platform is an ultra-fast processing architecture for mission-critical applications where microseconds matter. The world’s most data-centric companies complement their systems of record, such as databases, with in-memory solutions […]

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