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.
Burak is a Product Manager at Hazelcast. Prior to that, he has worked as a Senior Java Developer at Turkcell and TAV IT / Istanbul Ataturk Airport. He has also worked as a Software Security Consultant at Symturk (InnoveraBT). Burak graduated from the Computer Science Department of Istanbul Bilgi University in 2006. Also, he holds an MSc degree in Computer Engineering from Bogazici University. In his free time, he is acting at OykuSahne / Kesmekes Dogaclama and IstanbulImpro.
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In the first blog post, I explained the Blue/Green Deployments feature of Hazelcast IMDG Enterprise in general. Now, it is time to go through the top 5 scenarios where you can benefit this feature from. When using these features, it may be necessary to copy data or synchronize data from one cluster to the other. […]
This is the first blog post for Hazelcast IMDG’s Blue/Green Deployments feature, which is the most recent member of the Enterprise edition. “Blue/Green deployment” refers to a software technique used to reduce or even eliminate system downtime and the associated business risk by deploying two mirrored production environments referred to as “Blue” and “Green”. In […]