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.
Hüseyin BABAL is currently the development team lead of Hazelcast Cloud. He mainly focused on building SaaS on multi-cloud platforms based on Kubernetes and talking about those topics in public events. Prior to joining Hazelcast, he worked as Software Architect in eBay and Sony for their devops and microservices transition process.
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Today, we are happy to announce Hazelcast Cloud Public API support via GraphQL to provide more flexibility to automate Hazelcast Cloud clusters. If you have a Hazelcast Cloud account, you can go to GraphQL Explorer to try queries and mutations. Hands-on Examples Create Cluster In order to create a cluster in Hazelcast Cloud, you need […]
On August 6, we detected and fixed a production issue that showed the wrong cluster status in Hazelcast Cloud Console. When you click the Stop Cluster button, it stays in Stopping state even after your cluster is shutdown. I was a bit confused since this system is already running for almost 2 years, but why […]