Category: Hazelcast

Feed: Blog – Hazelcast. Author: Matt Wolpin. 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 the world of high-tech innovators, venture capital investors, and business makers. For more than two decades, the publication and Alex Vieux, its current CEO and Chairman, have covered the technology sector with the goal of impacting the global ... Read More

Feed: Blog – Hazelcast. Author: Dan Ortega. Artificial Intelligence (AI) as a concept has been around since the development of computational devices, as early as the creation of Turing machines during World War II. The term itself was first coined by University of Washington professor John McCarthy in 1956, and now, 60+ years later we see the actual commercialization of AI. Why now, and what has finally enabled this? AI is designed to process and interpret vast sums of data (aka Big Data), and while humanity has always generated a lot of data, the volumes in the last few years ... Read More

Feed: Blog – Hazelcast. Author: Hazelcast Community. On Monday, Speedment and Hazelcast announced a partnership focused on accelerating application development when deploying an in-memory data grid alongside legacy databases. The following post was written by Speedment’s CTO, Per-Åke Minborg. What if you want to use a Hazelcast In-Memory Data Grid (IMDG) to speed up your database applications, but you have hundreds of tables to handle? Manually coding all Java POJOs and serialization support would entail weeks of work and when done, maintaining that domain model by hand would soon turn into a nightmare. Now there is a graceful way to ... Read More

Feed: Blog – Hazelcast. Author: Neil Stevenson. This is an example showing one way you might connect to Hazelcast Cloud, and how you can harness its power for improved performance. As a problem, we’re going to calculate the spread of customer satisfaction, as the average doesn’t give enough insight. The example shows a custom domain model and server-side code execution. It shows both the junior and senior developer approach to cloud computing, with the latter being substantially more efficient. The problem For this example, we’re going to do a statistical calculation known as Standard Deviation. Don’t worry, the math here ... Read More

Feed: Blog – Hazelcast. Author: Greg Luck. Due to its underlying architecture and many years of optimization, Hazelcast is extremely fast and dramatically outperforms Redis Labs (and Redis open source), especially at scale. Last year, Redis Labs published a very misleading benchmark against Hazelcast. We have closely investigated Redis Labs’ test and discovered many misleading aspects of the benchmark. As a result, we have reproduced the test with these issues corrected. To be clear, Redis Labs is not the same thing as Redis, which is a popular open source project driven singularly by Salvatore Sanfilippo. By contrast, Redis Labs is ... Read More

Feed: Blog – Hazelcast. Author: Dan Ortega. Another massive, transformative technology wave is about to hit, and while this won’t be quite as overt as some of the other waves (e.g., mobility, social media), its effect will be much more pervasive and will hit every consumer, business and industry on multiple levels. The next generation of mobile infrastructure, 5G, is in the advanced planning/early rollout stages globally. Similar to other introductions of mobile technology, the deployment of 5G will be uneven at first, then it will lock in and fundamentally change our lives. The primary value-add for 5G is a ... Read More

Feed: Blog – Hazelcast. Author: Rafal Leszko. Hazelcast IMDG supports auto-discovery for many different environments. Since we introduced the generic discovery SPI, a lot of plugins were developed so you can use Hazelcast seamlessly on Kubernetes, AWS, Azure, GCP, and more. Should you need a custom plugin, you are also able to create your own. If your infrastructure is not based on any popular Cloud environment, but you still want to take advantage of the dynamic discovery rather than static IP configuration, you can set up your service registry. One of the more popular choices, especially in the JVM-based microservice ... Read More

Feed: Blog – Hazelcast. Author: Villiam Ďurina. Hazelcast Jet is known for its high-performance and this is partially due to it employing green threads. This approach avoids the need for operating system threads, which are expensive to switch. Instead, task switching is performed by the application code in a lightweight way. What are green threads? With “normal” threads, you ask the OS to spin one for you and execute your code. The OS takes care of switching them, giving each of the threads a chance to do work for a while. The OS can interrupt the thread’s execution at any ... Read More

Feed: Blog – Hazelcast. Author: Can Gencer. We are happy to announce the first General Availability release of Hazelcast Jet, two years after our first public release and three years after the project first started. We named this version 3.0 to match the current major version of Hazelcast IMDG, which is the underlying technology used in Jet. This version also includes several new exciting features. Pipeline API Backward Compatibility Over the last few versions of Jet, we have been evolving its pipeline API with new features in each version and some breaking changes. Going forward from 3.0, we are going ... Read More

Feed: Blog – Hazelcast. Author: David Brimley. We are pleased to announce the production-ready release of Hazelcast IMDG 3.12. We’ve crushed a lot of bugs, provided general performance improvements, plus we’ve added some great new features (more of which below). The release by numbers: 676 Issues 784 Pull Requests 47 Committers 168 Days Elapsed CP Subsystem The new CP Subsystem provides implementations of Hazelcast’s existing concurrency APIs (locks, atomics, semaphores, latches) using a system based on the Raft Consensus Algorithm. Correct operation of concurrent data structures is a must, especially during network failures. This new feature provides a level of ... Read More