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As DoorDash experienced rapid growth over the last few years, we began to see the limits of our traditional methods of monitoring. Metrics, logs, and traces provide vital information about our service ecosystem. But these signals almost entirely rely on application-level instrumentation, which can leave gaps or conflicting semantics across different systems. We decided to seek potential solutions
Blog Migrating From Python to Kotlin for Our Backend Services When DoorDash approached the limits of what our Django-based monolithic codebase could support, we needed to design a new stack that would provide a strong foundation for our logistics services. This new platform would need to support our future growth and enable our team to build using better patterns going forward. Under our legacy sy
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