A common theme in our data-intensive world is the expectation of increasingly faster system responsiveness, even as overall online traffic continues to grow. Everything seems to be more valuable with real-time speeds, but the complexities of transaction processing, especially in online payment systems, make the goal difficult to achieve.
Digital transactions start with recording data and tracking an exchange of goods. But in the process, there is a significant amount of computing power allocated to verification, fraud detection, reference data lookup, exception handling, etc. So businesses need a cost-effective way to add performance while controlling costs. This is where an elastic, cloud-native, in-memory computing platform can help.
In this webinar, we will discuss:
The technology and operational bottlenecks that transaction-based companies face
How a cloud-native, in-memory architecture solves these challenges
A demonstration of an example, high-performance deployment that can be easily integrated into your existing infrastructure
Please join @Ravikumar Ramachandra and @Mike Yawn in this on demand webinar, Real-Time Transaction Processing via Scalable, Cloud-Native Architecture.
Share any of your questions below and you can watch the on demand recording here.
Thanks,
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Jess Leitsch
IBM Community Manager
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