ddev lab: environment setup automation design#23682
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Design for `ddev lab` — an agentic framework that provisions Datadog integration environments on remote EC2/GCP with a single command. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…opology - Replace Terraform/cloud-inventory with Pulumi Automation API for multi-cloud (AWS + GCP) provisioning embedded directly in ddev - Add tests/lab/RESEARCH.md as human-readable narrative; remove inline YAML comments from lab.yaml (machine-readable only) - Extend cluster runtime schema with node roles, counts, instance types, and network.lnet_port for services like Lustre - Add two-phase Lustre cluster provisioning: Pulumi emits IP map, then Ansible stages MGS → MDS → OSS → client with LNET NIDs from actual IPs Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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What does this PR do?
Adds a WIP design spec for
ddev lab— an agentic framework for provisioning Datadog integration environments on remote infrastructure with a single command.Motivation
Setting up environments for complex integrations (Oracle, IBM MQ, Kafka, Lustre) is one of the highest-friction steps in integration development. This design explores automating that entirely: an AI research phase reads vendor documentation and generates all provisioning artifacts, which a deterministic CLI then executes to spin up a fully seeded, load-generating environment with a configured Datadog Agent.
Design doc:
docs/superpowers/specs/2026-05-05-environment-setup-automation-design.mdStatus: Design in progress — open questions remain on Pulumi vs. Terraform, cloud-inventory placement, and Lustre cluster networking.
Review checklist
qa/skip-qa