In-Memory Computing Planet Blogs and Events
This entry is reposted from the new cloud-focused blog at Oracle, "The Cloud Front."
Today we are excited to announce a major product innovation - Oracle Coherence is now available as a feature of the Java Cloud Service (JCS). Effective immediately, users of JCS can use our cloud tooling to optionally set up Coherence within JCS.
Flexibility is a key part of the solution. You can either select an initial capacity for the Coherence data tier:
Or use the "Advanced" option to have full control over the number of virtual machines you want for Coherence, the number of managed Coherence servers per virtual machine, and the heap size of each managed server:
A full agenda for the event and details about how to register are available on-line here. Some of the topics covered include:
- Strategic Direction and Roadmap for Coherence
- Coherence Data Management - from…
A full agenda for the event and details about how to register are available on-line here. Some of the topics that will be covered include:
- Scalable real-time…
The WebLogic scripting and management features available with Coherence 12c Managed Servers make it easy to create Coherence clusters and manage applications. Using the Weblogic Scripting Tool (WLST), the whole lifecycle of Managed Coherence Servers can be controlled, from creating and starting a Coherence cluster to deploying Coherence applications.
WLST scripts are written in Jython and can manipulate Weblogic JMX MBean's to manage Weblogic and Coherence. The flexibility and power they provide make it easy to create, configure and startup up a complete Coherence environment - in just a few minutes. This post will outline how to do just this, using some sample WLST scripts.
In a distributed environment, deploying a user-defined data structure as cluster wide service can provide access to all its operations, from anywhere in the grid. For example, you can have your own implementation of a distributed SecureMap, which auto-encrypts its values and is deployed as a service on all the cluster nodes.
In GridGain, you can implement your own custom data structures and deploy them as distributed services on the grid. You can also access them from clients via service proxies…
When storing data in a distributed cache, Map is the most obvious data structure. But, there are times when applications need to process data in the order it is received. GridGain In-Memory Data Fabric, in addition to providing standard key-value map-like storage, has an implementation of fast Distributed Blocking Queue.
Getting real-time notifications to users is a popular feature in social media these days. For example, notifications in Facebook that notifies users of any new likes or comments they receive on their posts or pictures. Or a leaderboard in an online game, that refreshes as a new leader emerges with a greater score.