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.
Business software must be efficient, adaptable, and easy to use. When you need to process complex events that integrate to back-end infrastructure, support geographically distributed teams, microservices architecture can deliver the optimal solution.
Looking for DEVELOPER specific use cases?
Jet.Hazelcast.org | Jet Open Source
Leveraging Hazelcast for your microservices platform enables you to focus on solving business issues, rather than the infrastructure and development of your network communication. Hazelcast’s active development and user support make it a go-to platform for network distribution and in-memory data storage.
The advantages offered by microservices architecture include:
Migrating a complex system into a series of smaller, isolated and more manageable pieces allows the individual services to be deployed or replaced in isolation at a rapid pace.
This works particularly well in complex environments with technologies that were not originally designed to work together.
A platform of small interoperating services is always more resilient in the face of unexpected events, such as network outages.
The ability to replace specific components, rather than the entire application speeds up support, reduces downtime and ultimately results in happier end users.
Appropriate technology stacks can be used for each microservice to enable the best solution.
Microservices architectures are all about finding best-of-breed technology to produce an efficient and adaptable composite solution.
Microservices-deployed client server with a shared Hazelcast cluster provides a simple and easy transitional path to deploying microservices infrastructure.
If you need to keep your microservices contained to a specific process or application, Hazelcast can isolate it by embedding in specific, isolated clusters.
Hazelcast Microservices architecture can also be deployed in a client-server model with an isolated Hazelcast cluster per service.
Fixed IP addresses, Multicast, Apache jclouds, AWS, Azure, Consul, etcd, Eureka, Kubernetes, Zookeeper. Additionally, Hazelcast has clients for several programming languages, such as Java, C#/.Net, C/C++, Python, Node.js and Scala.
Hazelcast Jet is the leading in-memory computing solution for managing streaming data across your organization. It is an application-embeddable, distributed computing solution for building high-speed streaming applications, such as IoT and real-time analytics. Hazelcast Jet is
built on the foundation of Hazelcast IMDG, the leading in-memory data grid and one of the top data stores for microservices deployments.
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.
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.
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.