Mastercard is leaning on Unravel to reduce the time it takes to fix IT issues and root out “toxic workloads.”
Complex IT systems require increased visibility: Observability platforms can help teams understand their tech stacks, troubleshoot and optimize data workloads, and keep costs under control.
Mastercard’s back-end infrastructure is incredibly complicated and inter-connected. “Big data means that even a small problem can cause a large impact,” Mastercard principal engineer Chinmay Sagade said in a presentation last year, with issues ranging from system slowdowns or crashes to resource bottlenecks.
Unravel’s tools have made its platforms more resilient, reliable, and efficient: By integrating Unravel into its software development lifecycle, Mastercard was able to identify issues in minutes that would previously have taken days (or more) to find, including by flagging “toxic workloads” likely to create cascading problems.
Operational effectiveness improved without additional infrastructure costs, and workers could reallocate time to value-add work versus battling fire-drills. “We saw an immediate impact on the platform,” Sagade said.
Unravel just raised a $50 million Series D and also counts DBS and Deutsche Bank among its clients.