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FindCollabs Hackathon at App Academy on April 6, 2019

Uber’s infrastructure supports millions of riders and billions of dollars in transactions. Uber has high throughput and high availability requirements, because users depend on the service for their day-to-day transportation.

When Uber was going through hypergrowth in 2015, the number of services was growing rapidly, as was the load across those services. Using a cloud provider was a risky option, because the costs could potentially grow out of control. Uber made a decision early on to invest in physical hardware in order to keep costs at a reasonable level.

In the last 3 years, Uber’s infrastructure has stabilized. The platform engineering team has built systems for monitoring, deployment, and service proxying. Developing and maintaining microservices within Uber has become easier.

Prashant Varanasi and Akshay Shah are engineers who have been with Uber for more than three years. They work on Uber’s platform engineering team, and their current focus is on the service proxy layer, a sidecar that runs alongside Uber services providing features such as load balancing, service discovery, and rate limiting.

Prashant and Akshay join the show to talk about Uber infrastructure, microservices, and the architecture of a service proxy. We also talk in detail about the benefits of using Go for critical systems infrastructure, and some techniques for profiling and debugging in Go.

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