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.
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 […]
Many thanks to Tom O’Connell who co-authored this blog. Hazelcast can be deployed in two topologies – namely Embedded and Client-Server. In this blog, we lay out the differences between the two topologies. Embedded Architecture: Hazelcast is embedded in the application and runs in the same process. Client-Server Architecture: Item Embedded Client-Server Language […]
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We recently announced our Hazelcast Heroes program to recognize the efforts of the most engaged contributors in our community. Today, we are very excited to announce our newest Hero, Tomasz Gawęda from Poland! Tomasz became a Hero by having five of his Pull Requests merged. He was kind enough to answer our questions regarding his […]
If 2020 proved anything in business, it’s that the companies that were ahead of the game in executing digital transformation programs were best positioned to weather the turbulence and, in the case of our customers, thrive when users were forced to shift to an entirely online engagement model. For example, since early 2020 when the […]
When your application starts slowing down, the reason is probably a bottleneck somewhere in the execution chain. Sometimes, this bottleneck is due to a bug. Sometimes, somebody didn’t set up the optimal configuration. And sometimes, the process of fetching the data is the bottleneck. One option would be to change your whole architecture. Before moving […]
We are happy to announce that the Hazelcast Python Client 4.0 Beta is released! Before releasing the final version, we decided to release a beta version of the client to get feedback from the community. Don’t hesitate to play with the new version of the client and share your feedback with us through Slack, Google […]
We love Golang since it helps us to automate our SaaS business with a low resource cost. If we have a Golang project, we easily compile it into any kind of distribution as you can see here. Today, we are happy to announce the Hazelcast Cloud Golang SDK to automate your Hazelcast Cloud workloads and […]
We are happy to announce Hazelcast Cloud CLI (hzcloud) to provide full automation for your Hazelcast clusters and related operations. We all believe in the power of automation and if you already have Hazelcast within your pipeline, you can insert the missing piece by using hzcloud. To try examples here, you can create a Hazelcast […]
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