Lyft is in the midst of a transition from a legacy, mutate-in-place deployment stack to one based on immutable containers on top of Kubernetes. Our existing infrastructure makes heavy use of daemons to provide a consistent platform relied upon by over 500 engineers.
In a containerized environment, side-car containers allow you to compose these infrastructure dependencies with clean abstractions. However, traditional methods of side-car infrastructure deployments can leave wide variance in what is actually running in production with poor automation and controls. To combat this, we’re embracing disposable infrastructure to ensure we can perform updates to common infrastructure on hundreds of microservices in a safe and consistent manner.
Yann Ramin is the technical lead for the Deploys team at Lyft, where he leads efforts in all things continuous delivery, providing tools and services to enable Lyft engineers to build world class systems. Yann has a background in massively distributed sensor networks, which carried over to leading the efforts on extremely large scale time-series databases and processing systems at Twitter and Lyft.
Garrett Heel is an engineer at Lyft focused on reliability of production systems. His work includes the implementation of a simulation platform to drive load testing and determine system health, and his current dedication to risk-free deployments. Throughout his career, Garrett has spent his time working across all parts of the stack attempting to build outstanding developer tools.
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