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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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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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. […]
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 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. […]
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 […]
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 […]
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 […]
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 […]
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 […]
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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