Gustav Westling is a Staff Software Engineer in Stockholm with 12 years of experience building reliable, production-grade backends and developer tooling. He combines deep systems and DevOps expertise—Go, Kubernetes, Terraform—with hands-on product engineering from multiple startups, including co-founding a YC-backed version-control startup and later leading engineering at Polar and Sana. A pragmatic problem-solver, Gustav has reinforced robustness in large projects like InfluxDB and the Go stdlib, and improved Kubernetes safety through notable contributions to kube-score. He also contributes to home-automation tooling (zigbee-herdsman-converters), demonstrating curiosity across domains from infra to embedded device integrations. Colleagues know him for shipping durable systems, improving observability and error handling, and turning subtle edge cases into reliable behavior.
Kubernetes object analysis with recommendations for improved reliability and security. kube-score actively prevents downtime and bugs in your Kubernetes YAML and Charts. Static code analysis for Kubernetes.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:37 releases, 74 reviews, 305 commits in 4 years 4 months
Contributions summary:Gustav primarily focused on implementing new scoring features for Kubernetes objects, specifically for StatefulSets, image tag and image pull policy. They added tests for these features and also implemented a new check related to network policies. Furthermore, the user contributed to improvements in the CLI tool's output, including support for different output formats (human, CI, and JSON) and enabling the disabling of tests via annotations.
Contributions:6 PRs, 28 comments, 6 issues in 4 years 6 months
Contributions summary:Gustav primarily contributed to the `encoding/base32` package, implementing features related to custom and disabled padding. They added support for handling NoPadding in the `NewDecoder` and `Close` methods, as well as addressing edge cases related to buffered decoding and error handling. The contributions demonstrate a focus on improving the robustness and feature set of the base32 encoding/decoding implementation.
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