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.
Rafał is a passionate software engineer, trainer, conference speaker, and author of the book, Continuous Delivery with Docker and Jenkins. He specializes in Java development, cloud environments, and continuous delivery. Prior to joining Hazelcast, Rafał worked with a variety of companies and scientific organizations, including Google, CERN, and AGH University of Science and Technology.
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Hazelcast was always well integrated with all cloud environments thanks to discovery plugins like Hazelcast AWS Plugin or Hazelcast Kubernetes Plugin. With the IMDG 4.1 release, however, we went one step further in making Hazelcast as user friendly as possible. Hazelcast can now automatically discover the environment it is running in and find a suitable […]
You want to build a Kubernetes Operator for your software. Which tool to choose from? Operator SDK with Helm, Ansible, or Go? Or maybe start from scratch with Python, Java, or any other programming language? In this blog post, I discuss different approaches to writing Kubernetes Operators and list each solution’s pros and cons. All […]
NOTE: This is an updated version of a previous blog. This article contains updated information. You can use Hazelcast for HTTP session replication between multiple replicas of your Spring Boot application. For example, imagine that you have a classic example of an online shop with customer’s items stored in the session. Users start to add […]
NOTE: This is an updated version of a previous blog. This article contains current information. Spring Boot is very well integrated with Hazelcast. It’s enough to provide Hazelcast configuration on the classpath and it will be automatically used. In this blog post I’ll explain step-by-step how to enable Hazelcast as a cache manager for your […]
Hazelcast IMDG can be fairly simply configured to work on AWS ECS. This Blog Post presents this process step by step.
Learn how to set up a Hazelcast cluster on AWS Auto Scaling group.
Learn how to use Hazelcast Helm Chart
Cert-Manager became a standard way for issuing and rotating certificates in Kubernetes and OpenShift environments. Simple to install. Simple to use. Well integrated with Vault and other secret managers. No surprise it’s the way to go if you want to set up secure communication between your applications! In this blog post, I show how to […]
Hazelcast loves Kubernetes. Thanks to the dedicated Hazelcast Kubernetes plugin, you can use dynamic auto-discovery. Hazelcast on Kubernetes can also run in multiple topologies: embedded, client-server, or as a sidecar. What’s more, thanks to the Helm package manager and the dedicated Hazelcast Helm Chart, you can deploy a fully functional Hazelcast server in literary minutes. […]
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