Michael Dresser is a Staff Autonomy Engineer with a decade of experience building cloud-native infrastructure and scalable backend systems, currently applying his expertise at Skydio. He has driven significant product and architectural improvements at Kubecost—overhauling backend architecture to enable new markets, scaling container-sizing recommendations to 250k+ containers, and designing a custom filtering language with lexer/parser work. A pragmatic polyglot, Michael ships production Go services, CI/CD pipelines, and spot-node cost-saving features while shortening developer feedback loops through tooling and workflow improvements. His open-source contributions include meaningful test-infra and deployer work for Kubernetes (kubetest2 GCE deployer) and core cost-model refactors for Kubecost/OpenCost, showing deep familiarity with GCP, Prometheus queries, and large-scale test systems. Colleagues rely on him to translate business goals into technical plans and to deliver backwards-compatible, data-safe migrations—an engineer who balances systems thinking with hands-on implementation.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree/Master's Degree, Computer Science, Bachelor’s Degree/Master's Degree, Computer Science at University of Colorado Boulder
Cost monitoring for Kubernetes workloads and cloud costs
Role in this project:
Back-end Developer
Contributions:5 releases, 665 reviews, 306 commits in 2 years
Contributions summary:Michael's commits primarily involve modifying and refactoring core cost model functionality within the opencost/opencost repository. The changes include adding provider IDs to active minute queries, refactoring cluster node code, and incorporating logic to use provider IDs. The code changes suggest involvement in Prometheus queries. The user also implemented unit tests to ensure the correctness of the refactored code.
Contributions:44 commits, 24 PRs, 126 comments in 2 months
Contributions summary:Michael's commits primarily involve the implementation and modification of the kubetest2 GCE deployer within the Kubernetes test infrastructure. Contributions include adding support for building, deploying, and tearing down Kubernetes clusters on Google Cloud Platform (GCP) using `kube-up.sh` and `kube-down.sh`. Key features include enabling the Compute API, acquiring GCP projects from Boskos, and integrating with the kubernetes/cloud-provider-gcp repository. Additional changes focus on log collection and structuring with kubectl.
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Michael Dresser - Staff Autonomy Engineer at Skydio