Improving Platform Resiliency by Detecting Harmful Workloads presented by Chinmay Sagade, Principal BizOps Engineer at Mastercard and Srinivasa Gajula, Lead Engineer at Mastercard.
Big Data unlocks tremendous opportunities. The distributed platforms which enable this capability are dependent on optimized workloads to make efficient use of available resources. In this talk, we present an application monitoring system created at MasterCard, which detects harmful workloads and helps maintains the business goals on resiliency and latency.
Learn More About Unravel Data
Website: https://www.unraveldata.com/
Contact: https://www.unraveldata.com/contact-us/
Try Unravel for free: https://www.unraveldata.com/saas-free-trial/
LinkedIn: https://www.linkedin.com/company/unravel-data/
Download
0 formats
No download links available.
How Mastercard improves platform resiliency by automating DataOps | NatokHD