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.
Lightweight, embeddable, powerful.
Looking for DEVELOPER specific content? Jet.Hazelcast.org | Jet Open Source
Overview
In today’s digital era, new systems are required that can deliver information with the time-sensitivity to meet rising business and consumer expectations. Hazelcast has already redefined high-performance processing for data at rest. Now, we are bringing that same level of performance to data in-motion, enabling a new breed of ultra-high-performance applications based on streaming data that allows you to process information faster, enable actions within shorter durations, and engage new data at the speed with which it is arriving.
Hazelcast Jet is built on the foundation of Hazelcast IMDG, the industry’s fastest in-memory data grid.
Hazelcast Jet is an application embeddable, distributed computing platform for fast processing of big data sets. The Hazelcast Jet architecture is high performance and low-latency-driven, based on a parallel, streaming core engine that enables data-intensive applications to operate at near real-time speeds.
Architecture & Features
Built on a distributed computing platform, Hazelcast Jet offers a parallel, low-latency core engine for data-intensive applications to operate at real-time speeds, while cooperative multi-threading architecture enables operation of thousands of jobs simultaneously.
Hazelcast Jet operates as shared application infrastructure or embedded directly in applications. It is ideal for microservices with a lightweight footprint, making data manipulation easy for developers and DevOps. Cloud and container ready.
One solution provides stream, batch, and RPC processing, with a variety of connectors to enable easy integration into data processing pipelines. Scaling, failure handling and recovery are all automated for ease of operational management.
Embed Hazelcast IMDG as an operational storage for enterprise-grade reliability and resilience, with high-performance integration that eliminates network transit latency and integration issues between processing and storage.
Big data processing at millisecond speed
Highly available and fault tolerant
Distributed, in-memory computation
Supports common data sources (Kafka, HDFS, Sockets, JMS, JDBC etc.)
Enables easy creation of custom sources
Contains scalable data storage with the clients Java, .NET, C++, Python, Node.js and Go
Embeddable for isolated and fully self-contained data-centric services
Elasticity for fault-tolerance and automatic scaling
Supports network discovery
Supports in-memory messaging
Enables low-latency analytics and decision making
Saves bandwidth and enhances privacy by processing data locally
Fully embeddable for simple packaging
Turnkey solution for using trained models in a production environment
Low-latency model execution environment
Apply real-time analytics to high-volume event data to make faster and better decisions
Integrate multiple applications to support multiple business functions
Build continuous analytics processing for enhanced revenue generation, smart resource allocation, improved customer service and other metrics
Use Cases
Hazelcast Jet reads a stream of telemetry data from ADS-B on all commercial aircraft flying anywhere in the world, typically 5,000 to 6,000 aircraft at any point in time. This data is filtered and aggregated, and then certain features are enriched and displayed in Grafana.
Hazelcast Jet uploads a stream of stock market pricing data from a Kafka topic into an IMDG map. Data is analyzed as part of the upload process, calculating the moving averages to detect buy/sell indicators.
The world's most advanced streaming core engine.
Learn
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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. Can’t attend the live times? You should still register! We’ll be sending out the recording after the webinar to all registrants.
The goal of streaming systems is to process big data volumes and provide useful insights into the data prior to saving it to long-term storage. The traditional approach to processing data at scale is batching; the premise of which is that all the data is available in the system of record before the processing starts. In the case of failures the whole job can be simply restarted. While quite simple and robust, the batching approach clearly introduces a large latency between gathering the data and being ready to act upon it. The goal of stream processing is to overcome this latency. It processes the live, raw data immediately as it arrives and meets the challenges of incremental processing, scalability and fault tolerance.
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.
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.
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