A New Alternative to Improve Application Performance
In a recent DataCore webinar, Improving Performance with Parallelism in the I/O Stack, we spoke about two common phenomena that many IT professionals observe nowadays:
- Data is accumulating at increasingly higher rates from an expanding number of sources.
- The time required to process transactions and analyze data is rapidly shrinking, as enterprises must move to real-time data access and analysis to stay competitive.
Traditional approaches to address these issues and speed up applications include deploying new hardware and code refactoring. Many times, however, these approaches are not viable – particularly in the short term – due to implementation risks, cost, and timelines.
In the webinar, we’ve discussed alternatives to traditional approaches and talked about how parallelism in the I/O layer impacts performance, particularly in database servers, and a software-based alternative from DataCore to mitigating I/O problems.
We’ve asked our audience 3 questions throughout the webinar, and since we can draw some interesting conclusions from the responses we’ve got, I’d like to highlight them:
Read the entire article here, A New Alternative to Improve Application Performance
Via the fine folks at DataCore Software.