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. Watch this webinar 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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The in-memory speed you count on, with the convenience and scalability of cloud.
Store hundreds of gigabytes of data in-memory without garbage collection overhead, operating within consistent and predictable latencies.
Overview
Storing hundreds of gigabytes of data in-memory lowers cost by reducing the number of required CPUs and nodes. It also increases uptime through a reduction of garbage collection overhead, and accelerates application performance.
High-Density Memory Store
Store hundreds of gigabytes of data without garbage collection overhead.
Operate within consistent and predictable latencies.
Scale Up then Scale Out
Fully use the resources of your machine then scale out for redundancy and capacity.
Create a more stable and predictable cluster.
High-Density Architecture
Use separate on-heap memory store and high-density memory store.
Hold data in your Java virtual machine (JVM) process while avoiding garbage collection pauses.
Architecture
Hazelcast High-Density Memory Store solves garbage collection limitations so that applications can exploit hardware memory more efficiently.
Scale-up then scale-out by using a smaller number of large computers, creating a more stable and predictable cluster.
Hold data in your Java virtual machine (JVM) processes while avoiding garbage collection pauses.
Your entire data sets can now be held in cache for extreme in-memory performance, all with the simplicity of JCache or Map.
Learn how the UK’s largest Internet of Things network, British Gas, uses Hazelcast® in-memory data grid to serve over 200,000 homes with a system that allows users to remotely control their heating and hot water temperature from their mobile device or on the Web. British Gas uses Hazelcast IMDG® to store large amounts of data in memory for quick access and integrate that memory store with its current core back-end platform in order to linearly scale to the growing needs of its network.
Event stream processing continues to play an increasingly important role in today’s data architectures. This is no surprise, considering that companies are striving to respond faster to ongoing changes in their business environments. However, these companies are still not taking full advantage of the value of their data, typically because they have not planned for the right approaches and architectures for stream processing. Read this Gartner report to learn more.
Learn how Ellie Mae, a leading provider of innovative on-demand software solutions and services for the residential mortgage industry, found a solution in Hazelcast IMDG that enabled them to achieve horizontal scale while continuing to deliver on service level agreements (SLA), allowing them to effectively service larger and more demanding customers.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.
