Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
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.
Enable clients connected to Hazelcast® Enterprise IMDG clusters to automatically failover to a Disaster Recovery Cluster during an unplanned outage of the primary production cluster.
Network or system failures are not normally a high-level priority for IT teams who are focused on enabling the enterprise in high-demand, high-volume environments, yet when your systems do go down unexpectedly, the results can range from inconvenient to catastrophic. While this is an unfortunate side effect of the complexities and interdependencies of today IT ecosystem, the need for a disaster recovery solution has never been more mission critical.
Unplanned outages become a thing of the past with Hazelcast Automatic Disaster Recovery Failover. Whether its a production or test system, Hazelcast delivers a smooth, seamless, rapid and fully automated experience to your end users, with zero disruption to system resources.
Client behavior after the disconnection is configurable via reconnect-mode:
Connection order for clusters in a disaster recovery scenario is decided by order of the cluster declarations provided in client configuration, including configurations for round-robin and delay.
Using CNAME, change the hostname resolutions, and use them dynamically.
When your customers and business processes demand real-time interactions and high-speed data streaming from a broad range of sources, the Hazelcast in-memory computing platform (IMCP) can deliver a comprehensive and integrated solution that is relied on by the most demanding companies in the world.
The Hazelcast IMDG® Deployment and Operations Guide provides an introduction to the most important aspects of deploying and operating a successful Hazelcast® installation. This edition is current with Hazelcast IMDG version 3.11.
In this guide, you’ll learn about different approaches to topologies, advantages and disadvantage of various types of architecture and how to configure Hazelcast for optimal success. You’ll learn how to plan for lifecycle events to ensure high uptime and smooth operation. This guide also covers Hazelcast-specific optimization considerations to keep in mind when preparing for a new Hazelcast deployment. You’ll learn how to determine cluster size and how to authenticate cluster members and clients, as well as how to deploy and scale a Hazelcast cluster while ensuring failure detection and recovery. Moreover, you’ll learn about license management and how to report issues to Hazelcast. Download the guide to get started now.
The Hazelcast IMDG® 3.12 release provides major new enhancements for Open Source users, it’s no exaggeration to say this is the biggest release we’ve ever made to the Open Source community. Hazelcast IMDG® 3.12 now provides a new level of consistency with the inclusion of our CP Subsystem based on the RAFT protocol. There is […]