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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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LockSupport.parkNanos() Under the Hood and the Curious Case of Parking, Part II: Windows

Jaromir Hamala
by Jaromir Hamala | February 18, 2019

In the previous post we have seen how LockSupport.parkNanos() is implemented on Linux, what behavior to expect and how we can tune it. The post was well-received and a few people asked how parkNanos() behaves on Windows. I’ve used Linux as a daily driver for over a decade and I didn’t feel like exploring Windows. […]

How to Use Embedded Hazelcast on Kubernetes

Rafal Leszko
by Rafal Leszko | February 06, 2019

Hazelcast IMDG is a perfect fit for your (micro)services running on Kubernetes since it can be used in the embedded mode and therefore scale in and out together with your service replicas. This blog post presents a step-by-step description of how to embed Hazelcast into a Spring Boot application and deploy it in the Kubernetes […]

The Data Processing Challenge for Continuous Intelligence

Kelly Herrell
by Kelly Herrell | February 04, 2019

The fundamental lesson from Charles Darwin’s theory of natural selection is that adaptation is the root of continuity of a species’ existence. The digital age has presented businesses the same challenge: Today’s businesses will survive or gradually die out based on whether or not they adapt to the new reality. Adaptation is a large concept. […]

Executing Machine Learning at Scale and Speed

Dan Ortega
by Dan Ortega | January 30, 2019

One of the current hot topics driving the in-memory domain is the potential associated with the application of Machine Learning technology. Like most marketing-level buzzwords, Machine Learning is something that has high awareness and low understanding, so we’ll walk through the framework of Machine Learning in this blog to add some context on what the […]

Hazelcast Maven Repository URL Change

Jiri Holusa
by Jiri Holusa | January 28, 2019

We are announcing a change to Hazelcast’s Maven repository URL from repository-hazelcast-l337.forge.cloudbees.com (old) to repository.hazelcast.com (new). This change is due to the end-of-life of our current infrastructure effective 31st January 2019. After that, the old Maven repository becomes unavailable. Who is affected? The change affects only customers of Hazelcast Enterprise downloading the builds via Maven […]

LockSupport.parkNanos() Under the Hood and the Curious Case of Parking

Jaromir Hamala
by Jaromir Hamala | January 27, 2019

When a colleague of mine was running some experiments, he noticed `LockSupport.parkNanos()` would either return almost immediately or in roughly 50 microseconds steps. In other words: Calling `LockSupport.parkNanos(10000)` would not return after 10 microseconds, but roughly after 50 μs. `LockSupport.parkNanos(55000)` would not return after 55 μs, but roughly after 100 μs, etc. The 50 μs […]

How Streaming Microservices Can Advance Your Entire IT Environment

Dan Ortega
by Dan Ortega | January 17, 2019

Streaming microservices. Sounds pretty cool, right? And like a lot of new technologies, it actually is, and it can have a huge effect on how your business operates. Before we get into the importance of streaming microservices, let’s make sure we’re clear on what we’re talking about. Streaming refers to data entering a system at […]

Introducing the Hazelcast Training Center

Justin Pease
by Justin Pease | January 15, 2019

Hazelcast has been delivering the power of in-memory technology in a way that is easy to develop, deploy, and scale. In line with that overarching theme, we are happy to announce the release of a new online self-paced learning site, the Hazelcast Training Center. We’re seeing Hazelcast as a requirement on more job listings than […]

5 Must-Read Articles on 2019 Predictions, IBM Cloud Private and Digital Transformation

Matt Wolpin
by Matt Wolpin | January 11, 2019

Each month the Hazelcast team writes and curates articles to help executives, architects and developers stay up-to-date on the latest news and information. With that in mind, here are five “must-reads” as determined by their popularity on social media.   What’s Up with 2019? Big Data Predictions Datanami’s Alex Woodie spoke with a number of […]

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