This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
“How much memory do I need for my data?“. — continued! In an earlier post, the space needed to store basic data, such as numbers, was examined. However, we deferred the discussion related to more complex data structures, like the example below: Person { String firstName; String lastName; int age; } At the time, we […]
It’s a pleasure to announce the general availability of Hazelcast IMDG 4.2! In this blog post, we highlight the most notable features and enhancements in this release. We resolved almost 150 GitHub issues and merged roughly 350 pull requests and you can find the complete list of changes in the release notes. Don’t hesitate to […]
Contract-first development is a methodology where we first create a design document (or interface definition) that formally describes the REST API we are going to implement, before writing any actual prototype. This methodology is useful for clearly communicating the structure and capabilities of the upcoming API before we implement it. Given a formal description of […]
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We are pleased to announce that Hazelcast Command Line 4.2020.12 is now available. It supports Hazelcast IMDG 4.1.1 and Hazelcast Management Center 4.2020.12. It took longer than anticipated to get a proper CLI for Hazelcast, however, we hope you will find it was worth the wait. In this blog post, we will go through what […]
“How much memory do I need for my data?” This is a pretty common question at the start of Hazelcast projects. Load it and measure it is one answer, which is accurate but not exactly popular. So, let’s take a quick look at why capacity planning isn’t as simple as it seems, by stepping through […]
Today we’re releasing Hazelcast Jet 4.4 and we have some exciting new features! Jet SQL Hazelcast Jet 4.4 brings you the first beta version of our SQL interface. You can now log into Jet from the command line and issue queries against the data sources you specify. They can be both data at rest (batch sources) […]
In the modern era of digital transformation, mainframe systems continue to stand out against the backdrop of the constantly changing ecosystem of global enterprise IT. More and more industries such as banking, retail, telecommunications, and healthcare rely on mainframe computing to manage processing of large volumes of data to serve thousands of users at any […]
Asynchronous C++ Client The latest release of the Hazelcast C++ client API features so many changes and there may be only a few APIs we didn’t touch. We kept the familiar structures and names as they were before, but we made numerous changes to take advantage of C++11 capabilities. Our new API fully supports asynchronous […]
I want to share an exciting new feature of Hazelcast C++ Client 4.0, the “Compile-time Non-Intrusive Serializer.” As you may already know, Hazelcast supports multiple ways of serialization. You can serialize an object into bytes and deserialize bytes into objects in one of the following ways using Hazelcast API: identified_serializer: This is by far one […]
Since we announced the nomination of Tomasz Gawęda, a new Hero has popped up. We are very happy to officially nominate Lenny Primak from the USA to be our latest Hero in the program. Lenny is a long-time contributor, but some of the Pull Requests he made couldn’t be merged by our teams in a […]
We are happy to announce that the Hazelcast Python Client 4.0 is released! You can install the latest version through PyPI by issuing the following command. pip install hazelcast-python-client Let’s dive into the highlights of this release! Hazelcast Client Protocol 2.0 Python client now uses Hazelcast Open Binary Protocol 2.0, which features numerous enhancements over […]
Hazelcast was always well integrated with all cloud environments thanks to discovery plugins like Hazelcast AWS Plugin or Hazelcast Kubernetes Plugin. With the IMDG 4.1 release, however, we went one step further in making Hazelcast as user friendly as possible. Hazelcast can now automatically discover the environment it is running in and find a suitable […]
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