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Hazelcast with Istio Service Mesh

Mesut Celik

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 […]

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Hazelcast Resilient to Kubernetes Zone Failures

Rafal Leszko

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 […]

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Stream Deduplication with Hazelcast Jet

Jaromir Hamala

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 […]

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

Kelly Herrell

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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Hazelcast IMDG 4.0 BETA is Released

Matko Medenjak

It is my pleasure to announce that after 6 years a new major version of Hazelcast has been released! This new release brings a breath of fresh air into Hazelcast while also being more robust than ever. We did try to keep enough familiarity to not surprise our users too much, but we also invested […]

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Announcing the First Release of Hazelcast Jet Extension Modules

Emin Demirci
by Emin Demirci | July 17, 2019

We are excited to announce the new repository for extension modules of Hazelcast Jet. This repository will be home for the Hazelcast Jet extension modules, including connectors (including both sources and sinks), custom aggregations, and context factories. All of these modules will help make the integration easier for 3rd-party products in your pipelines. The main […]

The Role of Streaming Technology in Retail Banking

Dan Ortega
by Dan Ortega | July 16, 2019

Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before […]

Hazelcast Jet 3.1 is Released

Can Gencer
by Can Gencer | June 27, 2019

After releasing Hazelcast Jet 3.0 in May, we are happy to announce its first update, Hazelcast Jet 3.1. Hazelcast Jet is now an Apache Beam Runner Apache Beam is a framework for building distributed batch and stream processing applications over a unified API. The API itself is decoupled from the underlying execution implementation, making it […]

The One Beam to Rule Them All

Greg Luck
by Greg Luck | June 26, 2019

Unbounded, unordered, global-scale datasets are increasingly common in day-to-day business – IoT sensor network data streams, mobile usage statistics, large scale monitoring, the list is endless. Numerous applications seek the ability to quickly react to dynamic streaming data, as it is either a mandatory requirement or a competitive advantage. API Churn As a consequence, lots […]

Rolling Upgrade Hazelcast IMDG on Kubernetes

Rafal Leszko
by Rafal Leszko | June 25, 2019

Hazelcast IMDG is tightly integrated into the Kubernetes ecosystem thanks to the Hazelcast Kubernetes plugin. In previous blog posts, we shared how to use auto-discovery for the embedded Hazelcast and steps for scaling it up and down using native kubectl commands. In this post, we’ll focus on another useful feature, Rolling Upgrade. You can apply […]

Accelerating the System of Now

Kelly Herrell
by Kelly Herrell | June 18, 2019

The megatrends that have been driving the adoption of Hazelcast by the world’s largest organizations are now strikingly clear: Enterprises are awash in data and must leverage it for business advantage New applications must process stored and streaming data Application latency is the new downtime. The money is in the microseconds To meet these needs […]

Testing the CP Subsystem with Jepsen

Ensar Basri Kahveci
by Ensar Basri Kahveci | June 03, 2019

At Hazelcast we take reliability very seriously. With the new CP Subsystem module, Hazelcast has become the first and only IMDG that offers a linearizable distributed implementation of the Java concurrency primitives backed by the Raft consensus algorithm. In addition to well-grounded designs and proven algorithms, reliability also requires a substantial amount of testing. We […]

Hazelcast Sidecar Container Pattern

Rafal Leszko
by Rafal Leszko | May 30, 2019

The sidecar pattern is a technique of attaching an additional container to the main parent container so that both would share the same lifecycle and the same resources. You may think of it as a perfect tool for decomposing your application into reusable modules, in which each part is written in a different technology or […]

Red Herring Recognizes Hazelcast as Top 100 Award Winner

Matt Wolpin
by Matt Wolpin | May 23, 2019

Last week, Hazelcast earned a coveted spot on the list of Red Herring’s Top 100 North America private technology companies. Make no mistake, there was nothing fishy or misleading about this honor. Ok, enough of the “red herring” puns. If you’re not familiar with Red Herring, it is a global media organization aimed at uniting […]

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