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.
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Uniformity and balance are key principles for data grids. All grid members should hold the same amount of data, do the same amount of compute and have the same amount of resources (CPU, etc) available. At least approximately. It doesn’t have to be exactly even, but pretty close. A hot spot in the grid means […]
In a previous blog post, Designing an Evergreen Cache with Change Data Capture, Nicolas describes “one-way” change data capture (CDC). It is a one-way process. In Nicolas’ post, the database copy can change and CDC pushes the change to Hazelcast to align the two copies of the data. Let’s take this a stage further, with “two-way” […]
Among the many capabilities of an in-memory data grid (IMDG), caching is one of the most well-known and used. However, as its name implies, data resides in memory. The memory is of finite capacity. In order not to put more data than memory can handle, we must decide how to curate it. Hazelcast comes with […]
I’m sure you use caching somewhere in your system. This can be either to improve performance, reduce backend load, or to decrease downtime. Everybody uses caching. Caching is everywhere. However, in which part of your system should it be placed? If you look at the following diagram representing a simple microservice architecture, where would you […]