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.
Hazelcast Cloud delivers enterprise-grade Hazelcast software in the cloud, deployed as a fully managed service. Leveraging over a decade of experience and best practices, Hazelcast Cloud delivers a high-throughput, low-latency service that scales to your needs while remaining simple to deploy. If you’re considering moving to the Cloud, or are looking for an easy ramp on deploying in-memory technology, this white paper on migrating in-memory to the cloud is an informative and helpful resource.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away. Join this webinar on April 11th at 8:00 am PT / 11:00 am ET / 4:00 pm GMT to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
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We had the chance to speak with Ben Evans, Java Champion, author for O’Reilly and InfoQ, as well as co-founder of JClarity, a startup which delivers performance tools and services to help development and ops teams. Together with his recent whitepaper on Hazelcast in combination with Spark, he also delivered a small application, BetLeopard, to […]
Your Perception of the Network Service Discovery or Network Exploration Eureka, Zookeeper, Consul and others, Service Discovery is an integral part of almost all of the new elastically scaling software systems. Instances or nodes of the application space can come, go or get restarted at any time and the system has to automatically adopt and […]
When Hazelcast started as a pure open source project in 2008, there was one guys, Talip Ozturk, with an amazing vision: A simple, powerful, scalable Distributed Map. Ever since Hazelcast went more powerful and added more features or data structures. Today almost all Java Collections and a lot of the
When I started snowcast back at end of 2014 I haven't thought that people will really be interested but most of the times it will work out differently from your imagination. A still fairly small group of interested people showed up and I got a lot of nice words and
snowcast In December I started a new project called snowcast. Arisen from the need in one of my own private projects I decided to open source this part of the work. snowcast is an auto-configuration, distributed, scalable ID generator on top of Hazelcast. Since snowcast is not an official Hazelcast
snowcast is an auto-configuration, distributed, scalable ID generator on top of Hazelcast. Since snowcast is not an official Hazelcast project, Hazelcast will not offer any kind of commercial support for it, it is one of my private spare time projects! Why this project? While working on a side project I
Today I want to show how you can use nginx to build your own stateless loadbalancer which just redirects your requests to random servers. It does neither support sticky sessions nor does it proxy your request. It will redirect (HTTP 302) your original request to the random location. This is
APRIL'S FOOL: Sorry that I have to admit it was just an April's Fool. The interesting fact btw is that when I first came up with the idea it sounded like totally implausible but while writing I realized "hey that should actually be possible". Maybe not yet for
This weekend I testwise activated Spdy for HTTPS connections. So if you access the page you should see a Spdy connection and needed resources should be automatically being pushed to your browser. If you want to know more about Spdy, HTTP 2.0 and how it can speed up the
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