pincompute: A Kubernetes Backed General Purpose Compute Platform for Pinterest

pincompute: A Kubernetes Backed General Purpose Compute Platform for Pinterest

摘要

Modern compute platforms are foundational to accelerating innovation and running applications more efficiently. At Pinterest, we are evolving our compute platform to provide an application-centric and fully managed compute API for the 90th percentile of use cases. This will accelerate innovation through platform agility, scalability, and a reduced cost of keeping systems up to date, and will improve efficiency by running our users’ applications on Kubernetes-based compute. We refer to this next generation compute platform as PinCompute, and our multi-year vision is for PinCompute to run the most mission critical applications and services at Pinterest.

PinCompute aligns with the Platform as a Service (PaaS) cloud computing model, in that it abstracts away the undifferentiated heavy lifting of managing infrastructure and Kubernetes and enables users to focus on the unique aspects of their applications. PinCompute evolves Pinterest architecture with cloud-native principles, including containers, microservices, and service mesh, reduces the cost of keeping systems up to date by providing and managing immutable infrastructure, operating system upgrades, and graviton instances, and delivers costs savings by applying enhanced scheduling capabilities to large multi-tenant Kubernetes clusters, including oversubscription, bin packing, resource tiering, and trough usage.

In this article, we discuss the PinCompute primitives, architecture, control plane and data plane capabilities, and showcase the value that PinCompute has delivered for innovation and efficiency at Pinterest.