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.
Hazelcast Management Center enables monitoring and management of nodes running Hazelcast IMDG or Jet. This includes monitoring the overall state of clusters, as well as detailed analysis and browsing of data structures in real time, updating map configurations, and taking thread dumps from nodes.
During development, Management Center provides deep insights. In production, it can be directly used by IT operations or integrated with enterprise monitoring tools using REST and JMX. It can also provide dedicated controls for WAN Replication for monitoring replication.
The home page of the Management Center provides a dashboard-style overview. For each node, it displays at-a-glance statistics to quickly gauge the status and health of each member, as well as the cluster as a whole.
Insights into the usage and status of distributed data structures is provided by the Caches, Maps, Queues, Topics, MultiMaps, and Executors pages, which provide a drill-down view into the operational statistics of individual data structures.
Centralized monitoring and management of each cluster member is available on the member's page. Each member’s CPU and memory utilization, runtime properties, partition count and configuration is available at a glance.
Hazelcast nodes expose a JMX management interface with statistics on distributed data structures and the state of node internals. The Management Center provides JMX and REST APIs to view and control cluster aspects from a single endpoint. The Enterprise Management Center provides JMX and REST APIs to view and control cluster aspects from a single endpoint.
For decades, a sharp divide was drawn between information technology (IT) and operational technology (OT). The former is concerned with enabling data-driven business decisions, and the latter is concerned with monitoring and controlling physical processes, from factory floors to ATM machines, to connected vehicles. Only recently has there emerged a data-centric approach to IoT applications […]
The talk explains the basic principles of time-series data processing and how they affected the design of our TS storage. In this (very) practical talk we are going to discuss technical challenges and design decisions made during the process.
This video walks you through the process of getting started with Hazelcast Cloud Enterprise, the managed service for Hazelcast IMDG.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.