This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
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.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Hello Go Programmers! We have just added the Go Language to the stable of clients that work directly with Hazelcast IMDG®, joining Java, .NET, C++, Python, Scala and Node.js.
In this webinar, we’ll look at the in-memory data grid (IMDG) from the perspective of the Go programmer. What is an IMDG? How do you connect to one? And of course, the most important, what you can do with it.
We’ll start with the basics, how to put data into the grid and how to get it back out again. Then we’ll take a look at what we can do with it while it’s there; direct retrieval, query search, and updates in situ.
Then we’ll turn it up a notch, showing how the grid can scale, and self-heal should an part of the grid be taken offline, providing a resilient service.
As a closing point, we’ll then show Go inter-operating with data from other clients, so the Go client can be a service or micro-service as part of a wider architecture.
By the end, you should have an understanding of how you can introduce Hazelcast into your project and what benefits this can bring.
With over 30 years of industry experience, Neil has designed, developed, debugged, and supported software systems for numerous customers large and small. Initially, a C and assembler programmer, most of the last 20 years have been Java-based, with a focus on distributed systems, data grids, and stream processing.
Neil is an occasional committer to the Hazelcast code base, with special interest on GoLang.