Planned Outline
Why Teams Need a Shared Orchestration Platform
- The cost of every team maintaining bespoke orchestration infrastructure
- What "self-service" actually means for a workflow platform
Designing for Cross-Region Consistency
- Architecture decisions for DUB (Dublin), SEA (Seattle), SJO (San Jose), NYC (New York)
- Execution guarantees that hold across regions and time zones
- Handling region-specific constraints without sacrificing platform uniformity
SLA Definitions and Failure Handling
- Defining platform SLAs that teams can build on
- Failure modes in multi-region orchestration and how to handle them
- Observability standards for workflow execution
Making Workflow Platforms Self-Service
- Enabling team onboarding without platform-team intervention
- Reducing per-team orchestration overhead through standardization
- Balancing flexibility with guard rails
Supporting AI-Native Engineering
- How reliable multi-region execution infrastructure enables AI workloads
- The intersection of workflow orchestration and AI pipelines
Related
- How I Standardized Infrastructure Monitoring Across an Entire Fleet — infra monitoring at fleet scale
- Spec-Driven Development and the Folder Architecture That Makes It Work — spec-driven methodology for AI-assisted engineering workflows
This post is a stub. Full content to be written by Eric Caskey.