adaptai / platform /dataops /dto /docs /MULTI_SERVER_WORKFLOW.md
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Multi-Server Agent Workflow

The Problem

Agents work across multiple servers (vast1, vast2, laptop, etc.) in their domain. How do we prevent branch chaos while enabling parallel development?

The Solution: Domain Branches + Host Overlays

1. Default: Domain-Scoped Branches

# One branch per logical change, regardless of where you work on it
git checkout -b dataops/redis-cluster-optimization

# Work from laptop
vim cache/redis_config.py
git commit -m "Optimize Redis connection pooling"

# Continue from vast1 (git worktree or fresh clone)
git checkout dataops/redis-cluster-optimization
vim cache/performance_tuning.py  
git commit -m "Add memory-mapped config loading"

# Push from anywhere
git push origin dataops/redis-cluster-optimization

2. Host-Specific Changes: Separate Overlay Branches

# If you need different config per server
git checkout -b env/host/vast1/redis-memory-limits
# Only touch: overlays/production/vast1/cache_config.yaml

git checkout -b env/host/vast2/redis-memory-limits  
# Only touch: overlays/production/vast2/cache_config.yaml

3. Coordinated Multi-Host Rollouts

# Create tracking issue first
gh issue create --title "DTO Cache Upgrade Rollout" --body "..."

# Stack small PRs per host
git checkout -b env/host/vast1/dto-cache-upgrade
git checkout -b env/host/vast2/dto-cache-upgrade
git checkout -b env/host/laptop/dto-cache-upgrade

# Merge queue ensures ordered deployment

Merge Queue Behavior

Class-A (Serialized): Host Overlays

env/host/* β†’ batch_size: 1, strict_order: true
deployment/environments/* β†’ batch_size: 1

Class-B/C (Parallel): Domain Logic

dataops/* β†’ batch_size: 3, if CI green
aiml/* β†’ batch_size: 3, if CI green
signalcore/* β†’ batch_size: 2, if CI green

Branch Lifecycle

1. Create Domain Branch

# Working on DTO lineage improvements
git checkout -b dataops/lineage-performance-v2

# Commit from laptop
git commit -m "Add caching layer to lineage queries"

# Continue from vast1
git worktree add ../dto-vast1 dataops/lineage-performance-v2
cd ../dto-vast1
git commit -m "Add production-scale test data"

2. Extract Host-Specific Needs

# Realize vast1 needs different memory limits
git checkout -b env/host/vast1/lineage-memory-boost
# Edit: overlays/production/vast1/lineage_config.yaml

# Keep domain branch clean of host specifics
git checkout dataops/lineage-performance-v2
# Continue with logic changes only

3. Coordinate PRs

# Domain change PR (can be parallel)
gh pr create --title "DTO Lineage Performance V2" \
  --head dataops/lineage-performance-v2

# Host overlay PR (will be serialized)  
gh pr create --title "Vast1: Lineage Memory Limits" \
  --head env/host/vast1/lineage-memory-boost \
  --label "class-a,overlay-change,host:vast1"

Labels Drive Behavior

Required Labels

# Domain changes
- domain:dataops
- scope:performance
- class-b

# Host changes  
- class-a
- overlay-change
- host:vast1
- needs-pause  # Until owner approves

CI Gate Rules

# Path-based routing
if path.startswith('overlays/') or path.startswith('deployment/environments/'):
    queue_class = 'A'  # Serialized
    require_labels = ['host:*', 'overlay-change']
    
if path.startswith('dataops/') and not overlay_path:
    queue_class = 'B'  # Can batch
    require_validation = ['dto-schema', 'port-conflicts']

Anti-Patterns to Avoid

❌ Server Names in Domain Branches

# DON'T DO THIS
vast1-dataops-fixes
laptop-testing-branch  
vast2-maybe-works

❌ Mixed Scope PRs

# DON'T: Domain logic + host config in one PR
dataops/cache-upgrade-plus-vast1-config

# DO: Split into separate PRs
dataops/cache-upgrade
env/host/vast1/cache-config-update

❌ Multi-Host Overlay PRs

# DON'T: Touch multiple hosts in one PR
env/host/all-hosts/memory-increase

# DO: One host per PR  
env/host/vast1/memory-increase
env/host/vast2/memory-increase

Real Example: Syncthing Bandwidth Limits

Scenario

You're on laptop, need to update Syncthing config across vast1 and vast2 with different bandwidth limits.

Execution

# 1. Create domain branch for the feature
git checkout -b dataops/syncthing-adaptive-bandwidth

# 2. Work on core logic (from laptop)
vim integrations/syncthing_client.py
git commit -m "Add adaptive bandwidth calculation"

# 3. Test on vast1 
git worktree add ../dto-vast1 dataops/syncthing-adaptive-bandwidth
cd ../dto-vast1
# Test, iterate, commit improvements

# 4. Create host-specific overlays
git checkout -b env/host/vast1/syncthing-bandwidth-100mb
vim overlays/production/vast1/syncthing_config.yaml
git commit -m "Set vast1 bandwidth limit to 100MB/s"

git checkout -b env/host/vast2/syncthing-bandwidth-50mb  
vim overlays/production/vast2/syncthing_config.yaml
git commit -m "Set vast2 bandwidth limit to 50MB/s"

# 5. Create coordinated PRs
gh pr create --head dataops/syncthing-adaptive-bandwidth \
  --title "Syncthing Adaptive Bandwidth Algorithm"

gh pr create --head env/host/vast1/syncthing-bandwidth-100mb \
  --title "Vast1: Syncthing 100MB/s limit" \
  --label "class-a,overlay-change,host:vast1"

gh pr create --head env/host/vast2/syncthing-bandwidth-50mb \
  --title "Vast2: Syncthing 50MB/s limit" \
  --label "class-a,overlay-change,host:vast2"

Merge Order

  1. Domain PR merges first (or in parallel with others)
  2. Host overlays merge one at a time via Class-A queue
  3. Deployment happens in controlled sequence

Tool Support

Git Worktree for Multi-Server

# Set up parallel workspaces
git worktree add ../dto-laptop main
git worktree add ../dto-vast1 main  
git worktree add ../dto-vast2 main

# Work on same branch from different servers
cd ../dto-vast1 && git checkout dataops/my-feature
cd ../dto-vast2 && git checkout dataops/my-feature

Branch Cleanup Automation

# Auto-delete merged branches
git config --global branch.autosetupmerge always
git config --global branch.autosetuprebase always

# Cleanup script
./scripts/cleanup-merged-branches.sh

Summary

  • Branch by domain/feature, not by server
  • Use overlays for host-specific configuration
  • Labels and paths drive merge queue behavior
  • One logical change = one branch, regardless of where you work
  • Host overlays get serialized; domain logic can be parallel
  • Git worktree lets you work the same branch from multiple servers

This keeps the history clean, enables parallel work, and ensures safe deployment across your infrastructure.


Generated by DTO Platform Team - Multi-Server Workflow Standards