From Monolith to Microservices

To tackle this monolith, we initially began exploring how the codebase was built. It had a high level of complexity with too many features baked into the all-in-one code, as well as thousands of unit tests. Without consistent APIs, many nonstandard integrations, or one-offs, had been deployed. Tight coupling of integrations existed at every level, […]

Using Machine Learning to Ensure the Capacity Safety of Individual Microservices

Reliability engineering teams at Uber build the tools, libraries, and infrastructure that enable engineers to operate our thousands of microservices reliably at scale. At its essence, reliability engineering boils down to actively preventing outages that affect the mean time between failures (MTBF). As Uber’s global mobility platform grows, our global scale and complex network of […]