Case Study: Pitney Bowes Develops Software with Machine Data Analytics | Sumo Logic
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Case Study: Pitney Bowes Develops Software with Machine Data Analytics

Sumo Logic has become a critical ingredient for Pitney Bowes in the software development and support process, providing deep, immediate insights into the organization’s more than 70 applications. Its widespread developer adoption contributes to Pitney Bowes’ ability to deliver new products, solutions and capabilities faster and more efficiently.

Pitney Bowes also capitalizes on the knowledge gained from Sumo Logic for a variety of other use cases, beyond merely monitoring application health. This is especially relevant for the challenging – and time-consuming – job of overseeing applications composed of copious independent, distinct software services.

Download this case study to learn more about how Sumo Logic has helped Pitney Bowes strengthened the software development process with real-time insights gained through machine data analytics.

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“Sumo Logic brings everything together into one interface where we can quickly scan across 1,000 servers and gigabytes of logs and quickly identify problems. It’s awesome software and awesome support.”

Jon Dokuli,
VP of Engineering

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