Case study 1
[MULTI-CLOUD GOVERNANCE CASE STUDY TITLE]
[One sentence on the problem, one on what you did, one on the result.]
Platform engineering leader
I build the platforms teams run on, and the tools that keep them honest.
Former infrastructure and cloud executive with 20+ years in platform engineering. Kubernetes, AWS, multi-cloud governance, and now AI infrastructure.
Featured project
EOL Radar
A live, public tracker of end-of-support dates for the cloud services platform teams actually run. Every page lists standard and extended support dates, the extended-support fee, and the official source for each date.
Covered services
- Amazon EKS
- Azure AKS
- Google GKE
- AWS Lambda
- Cloud SQL
- Aurora PostgreSQL
Next up: upgrade-readiness guides with walkthrough videos.
Planned: a client-side scanner and an open-source CLI.
Case studies
Platform problems I've solved
Case study 2
[KUBERNETES AT SCALE CASE STUDY TITLE]
[One sentence on the problem, one on what you did, one on the result.]
Case study 3
[PLATFORM TEAM OR COST CASE STUDY TITLE]
[One sentence on the problem, one on what you did, one on the result.]
Writing
Notes from the field
- [POST TITLE: running Kubernetes at scale]Planned
- [POST TITLE: why I built EOL Radar]Planned
- [POST TITLE: multi-cloud governance]Planned
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Working on AI infrastructure?
I'd like to hear about it. Reach out about platform leadership, neocloud, or GPU-scale operations.