How FinTech Innovator Razorpay Uses Open-Source Tracing and Observability to Manage Fast-Changing APIs

Oct 19, 2021 · 38m 38s
How FinTech Innovator Razorpay Uses Open-Source Tracing and Observability to Manage Fast-Changing APIs
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The speed and complexity of microservices-intense applications often leave their developers in the dark. The creators too often struggle to track and visualize the actual underlying architecture of their distributed...

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The speed and complexity of microservices-intense applications often leave their developers in the dark. The creators too often struggle to track and visualize the actual underlying architecture of their distributed services.

The designers, builders, and testers of modern API-driven apps, therefore, need an ongoing and instant visibility capability into the rapidly changing data flows, integration points, and assemblages of internal and third-party services.

Thankfully, an open-source project to advance the sophisticated distributed tracing and observability platform called Hypertrace is helping.

Stay with us here as BriefingsDirect explores the evolution and capabilities of Hypertrace and how an early adopter in the online payment suite business, Razorpay, has gained new insights and deeper understanding of their overall services components.

To learn how Hypertrace discovers, monitors, visualizes, and optimizes increasingly complex services architectures, please welcome Venkat Vaidhyanathan, Architect at Razorpay in Bangalore, India, and Jayesh Ahire, Founding Engineer at Traceable AI and Product Manager for Hypertrace. The discussion is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions. [Sponsor: Traceable AI.]
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Author Dana Gardner
Organization Dana Gardner
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