Daniel Thomson is a software engineer with a decade of experience building cloud-native deployment and delivery systems from the Bay Area. He’s contributed substantially to Argo CD and led development on Argo Rollouts, a prominent Kubernetes progressive delivery project, and has spoken multiple times at KubeCon about those tools. At Intuit he maintained GitOps and continuous deployment workflows and now applies that backend and DevOps expertise at Stytch. His contributions span backend, API, and some full-stack work—adding traffic-control logic, rollout specs, and UI controls to visualize deployments. Comfortable with both hands-on engineering and community leadership, he has a track record of shipping production-grade Kubernetes tooling and running community meetings. An early swim instructor turned engineer, he brings patience and clear communication to complex distributed-systems problems.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS) Computer Science Informations, Bachelor of Science (BS) Computer Science Informations at Stanford University
Contributions:24 releases, 401 commits, 468 PRs in 1 year 9 months
Contributions summary:Daniel primarily contributed to the backend logic of the project. Their commits reveal efforts to flush out the Rollout specification and related boilerplate, adding and managing ReplicaSets, and enhancing blue-green service selector management. The contributions are centered around managing traffic and deployments within the context of Kubernetes.
Contributions:34 commits, 2 PRs, 30 pushes in 8 months
Contributions summary:Daniel primarily focused on front-end development within the `rollouts-demo` repository, implementing features related to controlling application behavior with service mesh rollouts. They added user interface elements to control error responses (502, 404), along with logic in JavaScript (`app.js`) to visualize the application's behavior with animations. Furthermore, the user modified the Go backend code (`main.go`) to honor the user input for the error conditions and added logic to add a delay in the application requests.
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