Imagine you’re an IT executive tasked to optimize enterprise data management 24/7. You must find the best way to do it that makes sense for the business. When you make changes, it’s only after careful consideration that you’ll realize a positive return on your expenditures.
Your business relies on a mainframe that handles thousands of transactions per second, supports thousands of users and application programs, and manages terabytes of information. The mainframe performs admirably, proving its worth as a major investment.
But what if you could realize more benefits from the mainframe and cut costs at the same time?
That’s where caching comes in (and Adaptive Integration Fabric, but that’s another story). A cache stores a predefined subset of data, so that queries can utilize the cache, reducing latency and lightening the load on back-end databases, servers, or other systems of record. Put simply, caching:
- Improves application performance
- Reduces database costs
The biggest drawback: Cached data could be out of date.
Better caching, better outcomes
Fortunately, some solutions can augment caching performance and data accuracy.
For example, our Intelligent Caching Engine provides an intuitive interface that allows users to define cacheable and non-cacheable data so that the system can pull data from the cache and combine it with live data to fulfill an API request. In other words, users can define data elements not in need of updating to increase both efficiency and accuracy.
This granular control of cacheable data boosts API response times by as much as 50X for transaction calls.
The Intelligent Caching Engine takes management a step further by facilitating pre-loading of highly cacheable data during periods when mainframe demand is relatively low.
Improving performance while saving on costs? That’s a win. Learn more here.