saravanakumardb1
d8908093fa
fix(docker): add llmlab-dashboard to setup.sh, fix service count to 31, add CORS_ORIGIN + NODE_ENV
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- B1: Add llmlab-dashboard to WEB_SERVICES array (was missing, 30→31)
- B2: Add llmlab-dashboard to check-health.sh (port 3075)
- B3: Fix service count comments throughout (30→31)
- B6: Restore CWD after phase 3 git push loop
- G1: Add CORS_ORIGIN=* to phase6_env for remote browser access
- G2: Add NODE_ENV=production to phase6_env for all services
2026-03-28 00:40:25 -07:00
saravanakumardb1
fc12a8eaa2
feat(devops): add Local LLM Lab to ecosystem deployment
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- docker-compose.ecosystem.yml: add llmlab-dashboard service (port 3075)
- setup.sh: add learning_ai_local_llms as 12th repo
- README.md: update to 31 services, 11 products, add Docker vs K8s recommendation
- docker/README.md: update port map, phase descriptions
- prompt.md: update repo list and service counts
2026-03-27 00:10:40 -07:00
saravanakumardb1
70fdc6b279
feat(devops): add Gitea CI (act_runner) to Azure VM setup
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- Phase 2: install act_runner binary, register with Gitea, create systemd service
- Phase 3: push all 11 repos to VM Gitea after cloning from GitHub
- Expanded Gitea API token scopes (write:repository, write:user)
- Runner config: host mode, capacity 2, GITEA_NPM_TOKEN injected
- Enables CI on the VM for NETWORK!=corp usage
2026-03-26 23:19:37 -07:00
saravanakumardb1
7d0c469858
refactor(infra): reorganize single_azure_vm into docker/ and k8s/ subfolders
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- Move setup.sh, README.md, prompt.md into docker/ subfolder
- Create top-level README.md comparing both approaches
- Create k8s/README.md with full design doc: k3s architecture,
namespace strategy, manifest structure, ConfigMap/Secret design,
Cosmos emulator StatefulSet, Ollama host service, resource limits,
5-phase implementation plan, and kubectl cheat sheet
2026-03-24 14:11:50 -07:00
