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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The in-memory speed you count on, with the convenience and scalability of cloud.
In this webinar, we will present the tools that Hazelcast Jet brings to the table when it comes to operating long-running streaming applications in the cloud.
Hazelcast Jet® is a 3rd generation stream processing engine that adds advanced data processing capabilities to Hazelcast IMDG®. Jet makes it simple to build distributed, fault-tolerant data processing pipelines on top of Hazelcast IMDG and provides 500% performance increase over similar processing done with Apache Spark. Just like Hazelcast®, it can be embedded into your application or run as standalone.
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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.
The streaming benchmark is intended to measure the latency overhead for a streaming system under different conditions such as message rate and window size. It compares Hazelcast Jet, Apache Flink, and Apache Spark Streaming. Summary of Findings Jet is the only system with a latency below one second across all benchmarks. Spark’s max latency exceeds […]
Microservices, as an architectural approach, has shown a great deal of benefit over the legacy style of monolithic single applications. Nevertheless, microservices are not without their drawbacks. The purpose of this white paper is to show the first steps for using Spring Boot and Hazelcast IMDG® and how they contribute to the microservices landscape, enhancing the benefits and alleviating some of the common downsides.
This white paper provides a general overview of different strategies for application caching. It explains the advantages and disadvantages, as well as when to apply the appropriate strategy. Additionally, the paper gives a short introduction to JCache, the standard Java Caching API, as well as insight into the characteristics of the Hazelcast IMDG® JCache implementation and how it helps integrate different caching strategies into your application landscape.
Can’t attend the live webinar? Register anyway and we will send you the recording! Hazelcast Auto Database Integration (Auto DBI) is a highly efficient time-saving tool for working with databases. It streamlines the development of Hazelcast applications by generating a Java domain model representation (POJOs and more) of the database, allowing companies to be productive with Hazelcast in no time
Can’t attend the live webinar? Register anyway and we will send you the recording! Performant, elastically scalable and resilient, Hazelcast Jet has been used extensively in Financial services for a wide range of real-time use cases. In this webinar Hazelcast Jet product manager, Vladimir Schreiner will provide an overview of Hazelcast Jet, and how it is used at some of the world’s leading banks and credit card providers.
Watch this one minute demo on how to streamline the development of Hazelcast applications. Learn how you can automatically generate the Java domain model from the database and save a lot of time.
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.
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.
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