Thursday Jan 31, 2013
By rob.misek on Jan 31, 2013
The SDTimes just published an article entitled "In-memory data grids see 2013 as a big year" predicting that the in-memory data grid market will hit the $1 billion mark by 2016. While the article includes a number of perspectives on reasons for such growth and the future direction of the market, this singular point hits home for me and puts the past twelve years in perspective.
As employee #1 at Tangosol, I have seen the Coherence product come into being, watched it define a new market, innovate and lead that new market. This market continues to mature, customers continue to find new ways to apply the technology, influence and define new markets such as NoSQL and BigData and the ecosystem around Coherence continues to grow at a rapid pace. I personally look forward to 2013 and beyond as Coherence continues to lead the market growth towards the $1 billion mark.
I would be remiss if I did not point out one final quote in this article:
"[Oracle Coherence is the] in-memory data grid cited as the most popular by [Massimo] Pezzini [vice president and fellow at Gartner Research]"
Monday Jan 28, 2013
By rob.misek on Jan 28, 2013
In this video Chris Neal, Systems Architect at Pegasus Solutions, Pegasus Solutions uses Oracle Coherence to increase availability and response time and reduce the cost of processing transactions. Chris also discusses the background on the need for an in-memory data grid solution, the process behind selecting Oracle Coherence and their various use cases including the use of Elastic Data.
Thursday Jan 17, 2013
By dxfelcey on Jan 17, 2013
Coherence cache listeners are a useful and popular feature that enable applications to react in real-time to events. Though easy to use they can also be misunderstood or abused. Here Alexey Ragozin explains how cache listeners work and provides some useful advice about how to avoid some pitfalls.
Essential reading for anyone thinking of using this feature.
Wednesday Jan 16, 2013
Focus On The Community: Avoiding Multiple Simultaneous Database Calls When Using the Cache Aside Pattern
By rob.misek on Jan 16, 2013
There are certain scenarios where you are not able to us Coherence's Read-Through capabilities. In such cases the Cache Aside pattern is most commonly used.
The "cache aside" pattern is perhaps the easiest way to introduce caching to an existing application. It usually requires the least disruption to code and can even be "injected" without code changes using AOP. Although it can seem trivial there are a few "gotchas". For example, when using the cache aside pattern, multiple simultaneous cache requests for the same piece of data across your environment will result in multiple database requests.
Friday Jan 04, 2013
By rob.misek on Jan 04, 2013
Mike Lehmann, Senior Director of Product Management at Oracle and Niyazi Fellahoglu Senior Expert, Application & Web Server Administrator at Turkcell discuss how Turkcell, Turkey's leading mobile phone operator is using Oracle WebLogic Server and Oracle Coherence throughout the organization.
- El Corte Inglés use Coherence to deliver up-to-date online inventory and delivery information
- NTT Communications Corporation process 1.4M packets p/s using Oracle Coherence
- New: VisualVM Plugin for Coherence - released through the Coherence Incubator
- Coming Up: Coherence Special Interest Group (SIG) Meetings across Europe
- Hadoop MapReduce and Coherence - A Perfect Match
- Coherence Community on Java.net
- Reminder: Free, Global, Virtual Developer Day November 5th
- Coherence on Exalogic: 6x Speeds on Half the Hardware is Possible
- Query optimization using composite indexes
- Coherence Virtual Developer Day: November 5th
- /Coherence Community
- /Coherence Special Interest Group
- /Customer Showcase
- /OpenWorld & JavaOne