Caleb Woodbine
Instructor at Letsboot.ch
Wellington, Wellington, New Zealand
Summary
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RockstarCaleb Woodbine is an experienced cloud and Kubernetes engineer with 11 years building and hardening production infrastructure, test automation, and learning platforms from New Zealand. He’s written Go e2e tests for the upstream kubernetes/kubernetes project, managed cluster and registry infrastructure across bare metal and public clouds, and instrumented BigQuery-based data pipelines for k8s project telemetry. As an instructor he designs hands-on Kubernetes and secure supply chain training environments, having built Talos Linux-powered staging clusters on Hetzner for labs. Caleb combines deep troubleshooting and automation skills with practical DevOps—replacing key-based cloud access with OIDC, migrating CI to GitHub Actions, and turning messy deployments into scalable Kubernetes services. An uncommon strength is shipping both low-level QA/test improvements in a high-profile open source repo and higher-level platform billing and data tooling for cloud governance.
11 years of coding experience
7 years of employment as a software developer
Github Skills (23)
kubernetes10
docker10
bigquery10
data-pipelines10
scripting10
testing10
test-framework10
bash10
dockers10
gcp10
script10
go10
kubernetes-pods10
sh10
shell10
Programming languages (30)
Github contributions (5)
kubernetes/kubernetes
Jul 2019 - Mar 2021
Production-Grade Container Scheduling and Management
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 review, 154 commits, 49 PRs in 1 year 8 months
Contributions summary:Caleb's contributions primarily involve modifying and creating end-to-end (e2e) tests within the Kubernetes codebase. They updated existing tests, specifically related to Deployment, ConfigMap, and Pod resources, to align with the v1.19 release, and implemented improved error handling and watch event checks. The work demonstrates a focus on ensuring the reliability and proper functioning of core Kubernetes components through automated testing. They also added new resource lifecycle tests.
containersschedulingdockergradeproduction-grade
kubernetes/k8s.io
Jan 2021 - Nov 2022
Code and configuration to manage Kubernetes project infrastructure, including various *.k8s.io sites
Role in this project:DevOps Engineer & Data Engineer
DevOps Engineer & Data EngineerContributions:59 reviews, 141 commits, 51 PRs in 1 year 10 months
Contributions summary:Caleb contributed significantly to the infrastructure and data pipeline components within the Kubernetes project. Their commits focused on building and configuring BigQuery datasets and loading data using shell scripts. The user also worked on data transformation, including the use of Python and the pyasn library for IP address and ASN processing. They also managed the k8s-infra-artifacts-gcslogs logs into the usage_all_raw dataset.
gcpkubernetes-deploymentveleroinfrastructuresites
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