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A New Alternative to Improve Application Performance

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A New Alternative to Improve Application Performance
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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:

  1. Data is accumulating at increasingly higher rates from an expanding number of sources.
  2. 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.

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DataCore DataCore is the authority on real-time data. The company pioneered software-defined storage and is now bringing its technology to hyperconverged and workload optimization. DataCore empowers IT organizations to achieve always-available, high-performance and highly efficient data. Its patented technology eliminates storage bottlenecks with adaptive parallel I/O optimization, enables zero-downtime synchronous mirroring, and provides a true hardware-agnostic architecture — resulting in flexibility, resource efficiencies, and cost savings. DataCore software is the cornerstone of the next-generation, software-defined data center. DataCore’s value has been proven in more than 10,000 customer deployments across traditional, hyper-converged, cloud, and hybrid environments.

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