Thursday Sep 05, 2013

From Mainframe to Coherence: Is it worth it?

OP-Pohjola Group is the leading financial services group in Finland. It is made up of some 200 member cooperative banks and OP-Pohjola Group Central Cooperative which they own, including its subsidiaries and closely related companies. OP-Pohjola Group has more than four million customers -- joint banking and non-life insurance customers total over one million. With over 530 branches, the Group boasts the broadest customer base and the most extensive branch network in Finland.

OP-Pohjola architecture is based on innovative Java EE technology running on Oracle WebLogic Server. A vital part of their architecture is Oracle Coherence distributed cache which has enabled remarkable cost savings in mainframe request volumes and improved performance in most critical and popular eBanking services. Oracle Coherence has had a critical role in enabling mobile eBanking solution as a cost effective platform to build new services with exponential usage growth. Efficient caching technology has enabled both service efficiency and remarkable savings in mainframe costs with mainframe request volumes dropping by 40%. This mainframe optimization has resulted in both financial cost savings while simultaneously enabling growth of eBanking service volumes. Come join OP-Pohjola in this session to hear about how this customer leverages Oracle technologies such as WebLogic and Coherence to achieve such fantastic results. In addition, while at OpenWorld don’t miss other Cloud Application Foundation Innovator. You can join the session whether you are an OpenWorld attendee or not.

Thursday Jan 17, 2013

Focus On The Community: Best practice when using Coherence Cache Listeners

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.

Asynchronous Cache Listener

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

There are certain scenarios where you are not able to us Coherence's Read-Through capabilitiesIn 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.

Here you can find a great article by Andrew Wilson from RBS explaining how this pattern has been implemented in a "real-world" solution and how to avoid these potential problems. 

Cache Aside Pattern

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