Solly Ross is a Staff Software Engineer with 14 years of experience building and hardening cloud-native systems, currently based in Mountain View and working at Fastly. He is a Kubernetes specialist who has contributed core components across the ecosystem—from controller-runtime and kubebuilder to the metrics and API repos—demonstrating deep expertise in controllers, API validation, and client tooling. His background spans production-facing engineering and DevOps work at Google and Red Hat, including notable contributions to OpenShift, Heapster, and the metrics-server that improved autoscaling and observability. Solly is an open-source enthusiast and language fanatic who routinely refactors for maintainability, migrates complex projects to modern Go tooling, and optimizes performance and testability. Beyond code, he has a knack for bridging API design with practical operator needs—having implemented caches, indexing, and conversion webhooks used by other maintainers.
14 years of coding experience
10 years of employment as a software developer
(Partial) Bachelor of Science (B.S.), Mathematics and Computer Science, Dean's List, (Partial) Bachelor of Science (B.S.), Mathematics and Computer Science, Dean's List at Worcester Polytechnic Institute
Tools to use with the controller-runtime libraries
Role in this project:
Back-end Developer
Contributions:9 releases, 25 reviews, 75 commits in 2 years 8 months
Contributions summary:Solly focused on refactoring and improving the object scaffolding logic within the `controller-tools` repository. They extracted KubeBuilder's object scaffolding logic into a separate command, enhancing the reusability of this non-opinionated task for various Kubernetes-related projects. Furthermore, they cleaned up vendor dependencies, removing dependencies on CR (Custom Resource).
An implementation of the custom.metrics.k8s.io API using Prometheus
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:5 releases, 107 commits, 53 PRs in 1 year 9 months
Contributions summary:Solly contributed to instrumenting Prometheus query times by endpoint, enhancing the observability of the Prometheus adapter. They also refactored the codebase by updating dependencies to the correct locations. Furthermore, the user added gofmt-related targets to the Makefile and formatted the codebase to ensure code style consistency. The user also introduced features to improve build and deployment, like automatically publishing new images, and enabling advanced configuration via a config file.
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