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REPAY Pays it Forward with Splunk Observability Cloud

REPAY is at the core $25 billion in card payment volume per year, serving over 21 vertical end markets, including finance, automotive, and the public sector. With its mission to be the best in payment processing for businesses and consumers, the company understands that every transaction it handles—whether it’s $200 or $2,500—must be fast, secure, and accurate.

That’s where Van Wolfe, REPAY’s VP of platform engineering, comes in. From managing the company’s availability and uptime to scalability and the computing platforms for its services, Wolfe ensures REPAY’s systems are truly resilient: Any slowed or dropped transaction could have widespread consequences. His IT team also works closely with REPAY’s security unit to meet and exceed HIPAA and PCI compliance specifications.

“My job is to ensure that all our services are available to customers and that their transactions are secure—meaning no fraud and five nines of availability,” says Wolfe. He also dons a finance hat. So when the cost of REPAY’s previous monitoring solution increased 3x its projected amount, Wolfe knew he needed to make a change. “With our prior tool, we had to rehydrate data manually, which meant we waited a long time for that data to become available again and paid for it twice since we had to reingest it,” he says. Not only did this significantly raise the cost of their data, it slowed incident resolution times to a crawl, putting the company’s customer experience at risk.

Wolfe also found that teams across the company had not fully adopted the solution. “Our teams were still using homegrown solutions because it didn’t serve multiple platforms,” he says. “What we needed was a singular tool.”

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