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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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
In a world where billions of devices are constantly streaming data into your IT systems, Hazelcast In-Memory Computing Platform is the ideal solution for managing your IoT ecosystem.
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With billions of mobile users and potentially trillions of “things” generating data non-stop, there has never been a better time to deploy in-memory technology to support a wide range of high-speed streaming data sources, enabled by lightning-fast caching.
Trying to track billions of things at once? Speed definitely matters. Stream data in at high volumes from multiple sources with Hazelcast Jet, and process the data in-memory with Hazelcast IMDG, all with millisecond speed.
An internet that has evolved to enable billions of devices and events, often occurring at the same time, requires scalability on a new level. Hazelcast provides distributed capabilities for seamless scaling.
Massive bursts of traffic? Hazelcast has you covered. Our ability to quickly scale up and down in response to external events optimizes your use of resources while maintaining high levels of customer satisfaction.
Providing millisecond response times, billions of times per second, with no noticeable impact on performance is what Hazelcast delivers. Our In-Memory solutions provide an end-to-end solution for the most demanding customers.
Future Grid works with several Australian utility companies to automate the processing of sensor and smart meter data which crosses energy networks. Their customers are collecting approximately 3 billion data points per day. In terms of daily post processing, this equates to 20 billion records as each record has multiple, individual data points --a massive scaling challenge. To make the most of this information, utility organizations need a real-time data aggregation and processing solution which enables them to make complex real-time decisions.
When Future Grid first tried to solve this problem, it used traditional relational databases. However, it soon became apparent traditional databases couldn’t cope with huge volumes of data in real-time, main issue being that they can’t execute algorithms against incoming data fast enough. Future Grid then decided to build its own solution combining Hazelcast IMDG® with Apache Cassandra’s persistence data store capabilities.
This white paper walks through the business level variables that are driving how organizations can adapt and thrive in a world dominated by streaming data, covering not only the IT implications but operational use cases as well.
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.
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.