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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The in-memory speed you count on, with the convenience and scalability of cloud.
Drive resilience for Hazelcast IMDG by keeping multiple Hazelcast IMDG clusters in sync on multi-site and multi-cloud deployments worldwide.
Overview
Imagine you have different data centers in New York, London and Tokyo each running an independent Hazelcast cluster. Every cluster is operating at native speed in its own LAN (Local Area Network), but you also want some or all record sets in these clusters to be replicated to each other – updates in the Tokyo cluster should also replicate to London and New York, and updates in the New York cluster are to be synchronized to the Tokyo and London clusters.
Hazelcast WAN Replication allows you to keep multiple Hazelcast clusters in sync by replicating their state over WAN environments, such as the internet.
Architecture
Hazelcast WAN Replication supports data recovery in both Active-Passive or One-way mode, enables geographic locality in Active-Active or Two-way mode and provides ease of use for test / development environment set-up.
Hazelcast WAN Replication provides support for Hazelcast Map (IMap): PutIfAbsent, HigherHits, PassThrough, LatestUpdate, as well as Hazelcast JCache (ICache): HigherHits, and PassThrough.
Hazelcast WAN Replication delivers default synchronization, sending all data to a target cluster to align the state of the target with the source, as well as Delta Synchronization using Merkle Trees, which synchronize only the different entries, instead of sending all entries.
Hazelcast WAN Replication includes WanBatchReplication, which sends replication events to the target cluster after a pre-defined number of replication events or a pre-defined amount of time, as well as SolaceWanPublisher, allowing WAN Replication users to use Solace.
Resources
Payment processing systems require extremely high throughput rates as well as millisecond-level latencies. By leveraging the Hazelcast In-Memory Computing Platform, businesses gain a significant performance advantage to successfully process high volumes of transactions. Hazelcast also provides the scalability to easily grow and adapt to changing transaction volumes, which is especially important during heavy purchasing seasons and events with loads that spike well beyond typical levels.
In this white paper, Hazelcast reviews the current state of the US payments markets, including the primary business and technology drivers, and the overarching role that fraud detection plays in ensuring a safe and stable experience for consumers, business, and the network providers.
Part of deploying Jet is to determine a good estimate of the number of computing resources you need to optimally run your Jet application(s). This guide will walk you through specific environments as examples which can then be extrapolated for your own specific workloads.
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.
