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📝 WalkthroughWalkthroughA new Docker-based backend for the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant Metald
participant DockerBackend
participant DockerDaemon
User->>Metald: Request VM operation (create/start/stop/etc.)
Metald->>DockerBackend: Call Backend method (e.g., CreateVM)
DockerBackend->>DockerDaemon: Docker API call (e.g., create/start container)
DockerDaemon-->>DockerBackend: API response (container ID, status, etc.)
DockerBackend-->>Metald: Return VM/container info or status
Metald-->>User: Respond with operation result
sequenceDiagram
participant Metald
participant DockerBackend
participant MetricsCollector
participant DockerDaemon
Metald->>DockerBackend: Request VM metrics
DockerBackend->>MetricsCollector: CollectMetrics(containerID)
MetricsCollector->>DockerDaemon: Docker stats API call
DockerDaemon-->>MetricsCollector: Stats JSON
MetricsCollector-->>DockerBackend: VMMetrics
DockerBackend-->>Metald: VMMetrics
✨ Finishing Touches
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Actionable comments posted: 7
📜 Review details
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📒 Files selected for processing (4)
go/deploy/DOCKER_DEVELOPMENT_PLAN.md(1 hunks)go/deploy/metald/internal/backend/docker/client.go(1 hunks)go/deploy/metald/internal/backend/docker/metrics.go(1 hunks)go/deploy/metald/internal/backend/docker/types.go(1 hunks)
🧰 Additional context used
📓 Path-based instructions (3)
go/deploy/**/*.{go,js,ts,tsx,py,sh,md,txt,json,yaml,yml,ini,env,conf,rb,java,c,cpp,h,cs,rs,php,html,css,scss,xml}
Instructions used from:
Sources:
📄 CodeRabbit Inference Engine
- go/deploy/CLAUDE.md
go/deploy/**/*.{go,js,ts,tsx,py,sh,md,txt,json,yaml,yml,ini,rb,java,c,cpp,h,cs,rs,php,html,css,scss,xml}
Instructions used from:
Sources:
📄 CodeRabbit Inference Engine
- go/deploy/CLAUDE.md
go/deploy/{assetmanagerd,billaged,builderd,metald}/**/*.go
Instructions used from:
Sources:
📄 CodeRabbit Inference Engine
- go/deploy/CLAUDE.md
🧠 Learnings (1)
go/deploy/DOCKER_DEVELOPMENT_PLAN.md (4)
Learnt from: CR
PR: unkeyed/unkey#0
File: go/deploy/CLAUDE.md:0-0
Timestamp: 2025-07-09T08:42:29.316Z
Learning: Applies to go/deploy/**/*.{go,js,ts,tsx,py,sh,md,txt,json,yaml,yml,ini,rb,java,c,cpp,h,cs,rs,php,html,css,scss,xml} : Use `AIDEV-NOTE:`, `AIDEV-TODO:`, `AIDEV-BUSINESS_RULE:`, or `AIDEV-QUESTION:` (all-caps prefix) as anchor comments aimed at AI and developers.
Learnt from: CR
PR: unkeyed/unkey#0
File: go/deploy/CLAUDE.md:0-0
Timestamp: 2025-07-09T08:42:29.316Z
Learning: Applies to go/deploy/{assetmanagerd,billaged,builderd,metald}/**/*.go : When a service's `*.go` code changes significantly, increase the patch-level version number.
Learnt from: CR
PR: unkeyed/unkey#0
File: go/deploy/CLAUDE.md:0-0
Timestamp: 2025-07-09T08:42:29.316Z
Learning: Applies to go/deploy/**/*.{go,js,ts,tsx,py,sh,md,txt,json,yaml,yml,ini,rb,java,c,cpp,h,cs,rs,php,html,css,scss,xml} : Make sure to add relevant anchor comments whenever a file or piece of code is too complex, very important, confusing, or could have a bug.
Learnt from: CR
PR: unkeyed/unkey#0
File: go/deploy/CLAUDE.md:0-0
Timestamp: 2025-07-09T08:42:29.316Z
Learning: Applies to go/deploy/**/*.{go,js,ts,tsx,py,sh,md,txt,json,yaml,yml,ini,rb,java,c,cpp,h,cs,rs,php,html,css,scss,xml} : Do not remove `AIDEV-*`s without explicit human instruction.
🧬 Code Graph Analysis (1)
go/deploy/metald/internal/backend/docker/client.go (3)
go/deploy/metald/internal/backend/docker/types.go (4)
DockerBackendConfig(45-69)DefaultDockerBackendConfig(72-88)ContainerSpec(32-42)PortMapping(25-29)go/gen/proto/metal/vmprovisioner/v1/vmprovisioner.pb.go (4)
VmState_VM_STATE_CREATED(29-29)VmState_VM_STATE_RUNNING(30-30)VmState_VM_STATE_SHUTDOWN(32-32)VmState_VM_STATE_PAUSED(31-31)go/deploy/metald/internal/backend/types/backend.go (1)
Backend(12-45)
🪛 LanguageTool
go/deploy/DOCKER_DEVELOPMENT_PLAN.md
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Context: # Docker Development Environment Plan ## Overview This document outlines the plan to crea...
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Context: ... services (assetmanagerd, billaged, builderd, metald) for local development purpose...
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Context: ... metald to create containers instead of VMs. ## Goals 1. Production Parity: Mirror the product...
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Context: ...uction deployment process as closely as possible 2. Simplified Development: No Firec...
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Context: ...Development**: No Firecracker/KVM setup required 3. Container-Native: "VMs" are actu...
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Context: ...e actually Docker containers managed by metald 4. Easy Debugging: All services in ...
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Context: ... services in one container with unified logging 5. Fast Iteration: Instant containe...
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Context: ...nt container startup instead of VM boot times ## Architecture ### Base Container Design - Base Image...
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Context: ...es ## Architecture ### Base Container Design - Base Image: Fedora 42 (matches produc...
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Context: ...ion**: Use existing Makefiles and build process - Configuration: Modify existing sy...
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Context: ... existing systemd services with minimal changes ### Docker Backend for metald Replace Fire...
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Context: ...inimal changes ### Docker Backend for metald Replace Firecracker backend with Docker...
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Context: ...Replace Firecracker backend with Docker backend: VM Operations → Docker Container Operations ├── CreateVM → docker create ├── BootVM → docker start ├── DeleteVM → docker rm ├── ShutdownVM → docker stop ├── PauseVM → docker pause ├── ResumeVM → docker unpause ├── RebootVM → docker restart └── GetVMMetrics → docker stats ### Service Architecture ``` Single Contai...
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Context: ...Metrics → docker stats ### Service Architecture Single Container: ├── systemd (PID 1) ├── assetmanagerd.service (port 8083) ├── billaged.service (port 8081) ├── builderd.service (port 8082) ├── metald.service (port 8080) └── Docker socket (mounted from host) ``` ## Implementation Plan ### Phase 1: Docke...
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Context: ...unted from host) ``` ## Implementation Plan ### Phase 1: Docker Backend Implementation ...
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Context: ...ation Plan ### Phase 1: Docker Backend Implementation 1. Create Docker Backend (`go/deploy/met...
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Context: ...ocker/) - Implement types.Backend` interface - Use Docker API client for containe...
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Context: ... - Use Docker API client for container operations - Map VM configurations to Docker co...
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Context: ...p VM configurations to Docker container specs - Handle port mapping and networking...
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Context: ...iner specs - Handle port mapping and networking - Implement metrics collection via D...
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Context: ...ent metrics collection via Docker stats API 2. Asset Integration - Reuse existing...
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Context: ...se existing asset management for Docker images - Map VM rootfs assets to Docker ima...
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Context: ... - Integrate with builderd for image building 3. Configuration Updates - Add Docker...
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Context: ... - Add Docker backend option to metald configuration - Update backend factory to support ...
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Context: ...pdate backend factory to support Docker backend ### Phase 2: Container Environment Setup 1...
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Context: ...end ### Phase 2: Container Environment Setup 1. Fedora-based Dockerfile - Multi-st...
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Context: ...E.md - Install development tools and dependencies - Build all 4 services using existin...
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Context: ... - Install systemd and create service directories 2. systemd Service Configuration - Mo...
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Context: ...ing systemd service files for container environment - Disable TLS for all services (deve...
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Context: ...sable TLS for all services (development only) - Update service endpoints from HTTP...
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Context: ... Update service endpoints from HTTPS to HTTP - Create billaged user and set up di...
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Context: ...ndpoints from HTTPS to HTTP - Create billaged user and set up directories 3. **Docke...
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Context: ...TP - Create billaged user and set up directories 3. Docker Socket Integration - Mount ...
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Context: ...gration** - Mount Docker socket into container - Configure appropriate permissions ...
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Context: ...to container - Configure appropriate permissions - Test Docker API access from within...
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Context: ... - Test Docker API access from within container ### Phase 3: Service Integration 1. **Envi...
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Context: ... within container ### Phase 3: Service Integration 1. Environment Configuration ```bash ...
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Context: ...: Service Integration 1. Environment Configuration bash # Disable TLS for all services UNKEY_ASSETMANAGERD_TLS_MODE=disabled UNKEY_BILLAGED_TLS_MODE=disabled UNKEY_BUILDERD_TLS_MODE=disabled UNKEY_METALD_TLS_MODE=disabled # Configure Docker backend UNKEY_METALD_BACKEND=docker # Update service endpoints UNKEY_METALD_BILLING_ENDPOINT=http://localhost:8081 UNKEY_METALD_ASSETMANAGER_ENDPOINT=http://localhost:8083 UNKEY_ASSETMANAGERD_BUILDERD_ENDPOINT=http://localhost:8082 UNKEY_BUILDERD_ASSETMANAGER_ENDPOINT=http://localhost:8083 2. Service Dependencies - Configure s...
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Context: ...encies** - Configure systemd service ordering - Add health checks and startup coor...
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Context: ...ring - Add health checks and startup coordination - Handle service failures gracefully...
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Context: ...ordination - Handle service failures gracefully 3. Docker Compose Integration - Add d...
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Context: ...tegration** - Add deploy services to existing deployment/docker-compose.yaml - Configure networking and volume mounts ...
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Context: ...l` - Configure networking and volume mounts - Set up development environment var...
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Context: ...nts - Set up development environment variables ### Phase 4: Testing and Validation 1. **U...
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Context: ...ent variables ### Phase 4: Testing and Validation 1. Unit Tests - Test Docker backend i...
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Context: ...Unit Tests - Test Docker backend implementation - Verify VM-to-container operation m...
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Context: ...n - Verify VM-to-container operation mapping - Test asset management integration ...
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Context: ...tion mapping - Test asset management integration 2. Integration Tests - Test complete ...
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Context: ...ts** - Test complete service startup sequence - Verify inter-service communication...
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Context: ...rtup sequence - Verify inter-service communication - Test "VM" (container) lifecycle op...
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Context: ...on - Test "VM" (container) lifecycle operations 3. End-to-End Tests - Deploy sample a...
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Context: ...ts** - Deploy sample applications as containers - Test port forwarding and networkin...
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Context: ...ontainers - Test port forwarding and networking - Verify metrics collection and bill...
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Context: ...king - Verify metrics collection and billing ## Directory Structure ``` go/deploy/ ├──...
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Context: ...cs collection and billing ## Directory Structure go/deploy/ ├── metald/internal/backend/docker/ │ ├── client.go # Docker backend implementation │ ├── types.go # Docker-specific types │ └── metrics.go # Docker metrics collection ├── Dockerfile.dev # Development container ├── docker-compose.dev.yml # Development compose file └── DOCKER_DEVELOPMENT_PLAN.md ## Key Implementation Details ### Docker ...
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Context: ...MENT_PLAN.md ``` ## Key Implementation Details ### Docker Backend Interface Mapping | Bac...
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Context: ...n Details ### Docker Backend Interface Mapping | Backend Method | Docker Operation | N...
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Context: ... stats` | Get resource usage statistics | ### Configuration Changes 1. **TLS Disable...
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Context: ...e usage statistics | ### Configuration Changes 1. TLS Disabled: All services use `TLS_M...
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Context: ...nges 1. TLS Disabled: All services use TLS_MODE=disabled 2. HTTP Endpoints: Change all inter-service U...
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Context: ...ge all inter-service URLs from HTTPS to HTTP 3. Docker Backend: Set `UNKEY_METALD_BACKEND=do...
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Context: ...om HTTPS to HTTP 3. Docker Backend: Set UNKEY_METALD_BACKEND=docker 4. Socket Mount: Mount `/var/run/docker.sock:/v...
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Context: ...LD_BACKEND=docker4. **Socket Mount**: Mount/var/run/docker.sock:/var/run/docker.sock` ### systemd Service Modifications - **ass...
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Context: ...r/run/docker.sock` ### systemd Service Modifications - assetmanagerd: Run as root, local sto...
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Context: ...metald: Run as root, Docker backend enabled ## Benefits 1. Production Parity: Uses exact same sy...
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Context: ...enefits 1. Production Parity: Uses exact same systemd services and installation proce...
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Context: ...evelopment**: Instant container startup vs VM boot times 5. Easy Migration: Ca...
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Context: ... Can switch back to separate containers easily ## Usage ### Development Workflow ```bash # Build d...
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Context: ...iners easily ## Usage ### Development Workflow bash # Build development container make docker-dev-build # Start all services make docker-dev-up # Create and boot a "VM" (actually a container) docker exec -it unkey-deploy-dev metald-cli create-and-boot # View logs docker logs -f unkey-deploy-dev journalctl -f # inside container # Stop services make docker-dev-down ### Integration with Existing Docker Compos...
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Context: ...` ### Integration with Existing Docker Compose The development container will integrat...
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Context: ...velopment environment alongside the web services. ## Timeline - Phase 1: Docker backend implementatio...
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Context: ...Phase 4*: Testing and validation (1-2 days) Total Estimated Time: 5-9 days ## Su...
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Context: ...-2 days) Total Estimated Time: 5-9 days ## Success Criteria 1. ✅ All 4 services s...
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Context: ... Estimated Time**: 5-9 days ## Success Criteria 1. ✅ All 4 services start successfully in ...
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Context: ...rvices communicate with each other over HTTP 3. ✅ metald can create, boot, and manag...
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Context: ..., boot, and manage Docker containers as "VMs" 4. ✅ Asset management works with Docke...
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Context: ...4. ✅ Asset management works with Docker images 5. ✅ Port forwarding and networking fun...
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Context: ...Port forwarding and networking function correctly 6. ✅ Metrics collection and billing ope...
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Context: ... Metrics collection and billing operate properly 7. ✅ Integration with existing docker-c...
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Context: ...aster than VM-based approach ## Future Enhancements 1. Hot Reload: Automatic service restart...
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🪛 markdownlint-cli2 (0.17.2)
go/deploy/DOCKER_DEVELOPMENT_PLAN.md
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42-42: Fenced code blocks should have a language specified
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94-94: Fenced code blocks should be surrounded by blank lines
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140-140: Fenced code blocks should have a language specified
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241-241: Files should end with a single newline character
(MD047, single-trailing-newline)
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🔇 Additional comments (4)
go/deploy/metald/internal/backend/docker/metrics.go (1)
17-324: Well-structured metrics collection implementation.The metrics collector provides comprehensive monitoring capabilities with proper error handling, OpenTelemetry instrumentation, and clear separation of concerns. The AIDEV-NOTE effectively documents the key features.
go/deploy/metald/internal/backend/docker/types.go (1)
1-144: Clean type definitions with good abstraction.The type structures provide a clean abstraction layer between VM concepts and Docker operations. The AIDEV-NOTE effectively explains the purpose of this abstraction.
go/deploy/metald/internal/backend/docker/client.go (2)
1-799: Increment service version number.According to the coding guidelines, when a service's Go code changes significantly (as with this new Docker backend), the patch-level version number should be increased.
Please ensure the metald service version is incremented in the appropriate location.
28-791: Comprehensive Docker backend implementation.The implementation provides a complete and well-structured Docker-based VM management system with excellent telemetry, error handling, and documentation. The AIDEV-NOTE effectively summarizes the key advantages.
| ``` | ||
| VM Operations → Docker Container Operations | ||
| ├── CreateVM → docker create | ||
| ├── BootVM → docker start | ||
| ├── DeleteVM → docker rm | ||
| ├── ShutdownVM → docker stop | ||
| ├── PauseVM → docker pause | ||
| ├── ResumeVM → docker unpause | ||
| ├── RebootVM → docker restart | ||
| └── GetVMMetrics → docker stats | ||
| ``` |
There was a problem hiding this comment.
🧹 Nitpick (assertive)
Specify language for fenced code blocks.
Add language identifiers to improve syntax highlighting and readability.
For the architecture diagrams, use:
-```
+```text
VM Operations → Docker Container OperationsFor the bash environment configuration:
-```bash
+```bash
# Disable TLS for all servicesFor the directory structure:
-```
+```text
go/deploy/
├── metald/internal/backend/docker/Also applies to: 42-50, 94-109, 140-149
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
28-28: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🤖 Prompt for AI Agents
In go/deploy/DOCKER_DEVELOPMENT_PLAN.md around lines 28 to 38 and also lines
42-50, 94-109, and 140-149, the fenced code blocks lack language identifiers.
Add appropriate language tags such as "text" for architecture diagrams and
directory structures, and "bash" for shell commands to improve syntax
highlighting and readability. For example, use ```text for diagrams and
directory listings, and ```bash for bash commands.
| ## Key Implementation Details | ||
|
|
||
| ### Docker Backend Interface Mapping | ||
|
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||
| | Backend Method | Docker Operation | Notes | | ||
| |---------------|------------------|-------| | ||
| | `CreateVM()` | `docker create` | Convert VM config to container spec | | ||
| | `BootVM()` | `docker start` | Start container and configure networking | | ||
| | `DeleteVM()` | `docker rm -f` | Force remove container | | ||
| | `ShutdownVM()` | `docker stop` | Graceful shutdown with timeout | | ||
| | `PauseVM()` | `docker pause` | Pause container execution | | ||
| | `ResumeVM()` | `docker unpause` | Resume paused container | | ||
| | `RebootVM()` | `docker restart` | Restart container | | ||
| | `GetVMInfo()` | `docker inspect` | Get container state and config | | ||
| | `GetVMMetrics()` | `docker stats` | Get resource usage statistics | | ||
|
|
There was a problem hiding this comment.
🧹 Nitpick (assertive)
Consider adding AIDEV-NOTE for implementation mapping.
This section contains critical implementation details that map VM operations to Docker commands. Consider adding an anchor comment to highlight this important reference.
## Key Implementation Details
+# AIDEV-NOTE: The following table defines the exact mapping between metald backend
+# interface methods and Docker operations. This is the authoritative reference for
+# how VM lifecycle operations translate to container commands.
### Docker Backend Interface Mapping🧰 Tools
🪛 LanguageTool
[grammar] ~151-~151: Use correct spacing
Context: ...MENT_PLAN.md ``` ## Key Implementation Details ### Docker Backend Interface Mapping | Bac...
(QB_NEW_EN_OTHER_ERROR_IDS_5)
[grammar] ~153-~153: Use correct spacing
Context: ...n Details ### Docker Backend Interface Mapping | Backend Method | Docker Operation | N...
(QB_NEW_EN_OTHER_ERROR_IDS_5)
[grammar] ~165-~165: Use correct spacing
Context: ... stats` | Get resource usage statistics | ### Configuration Changes 1. **TLS Disable...
(QB_NEW_EN_OTHER_ERROR_IDS_5)
🤖 Prompt for AI Agents
In go/deploy/DOCKER_DEVELOPMENT_PLAN.md around lines 151 to 166, add an
AIDEV-NOTE or anchor comment above the "Docker Backend Interface Mapping"
section to clearly highlight this critical mapping of VM operations to Docker
commands as an important reference for developers. This will improve visibility
and emphasize the significance of this implementation detail.
| 2. **Debug Mode**: Enhanced logging and debugging capabilities | ||
| 3. **Performance Monitoring**: Built-in observability stack | ||
| 4. **Multi-tenancy**: Support for multiple development environments | ||
| 5. **CI/CD Integration**: Automated testing and deployment No newline at end of file |
There was a problem hiding this comment.
Add newline at end of file.
Files must end with a single newline character according to the coding guidelines.
-5. **CI/CD Integration**: Automated testing and deployment
+5. **CI/CD Integration**: Automated testing and deployment
+📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| 5. **CI/CD Integration**: Automated testing and deployment | |
| 5. **CI/CD Integration**: Automated testing and deployment | |
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)
241-241: Files should end with a single newline character
(MD047, single-trailing-newline)
🤖 Prompt for AI Agents
In go/deploy/DOCKER_DEVELOPMENT_PLAN.md at line 241, the file is missing a
newline character at the end. Add a single newline character at the end of the
file to comply with coding guidelines.
| cpuDelta := float64(current.CPUStats.CPUUsage.TotalUsage - previous.CPUStats.CPUUsage.TotalUsage) | ||
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||
| // Calculate system CPU delta | ||
| systemDelta := float64(current.CPUStats.SystemUsage - previous.CPUStats.SystemUsage) | ||
|
|
There was a problem hiding this comment.
🧹 Nitpick (assertive)
Remove trailing whitespace.
Lines 188 and 191 have trailing whitespace that should be removed.
// Calculate CPU delta
cpuDelta := float64(current.CPUStats.CPUUsage.TotalUsage - previous.CPUStats.CPUUsage.TotalUsage)
-
+
// Calculate system CPU delta
systemDelta := float64(current.CPUStats.SystemUsage - previous.CPUStats.SystemUsage)
-
+📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| cpuDelta := float64(current.CPUStats.CPUUsage.TotalUsage - previous.CPUStats.CPUUsage.TotalUsage) | |
| // Calculate system CPU delta | |
| systemDelta := float64(current.CPUStats.SystemUsage - previous.CPUStats.SystemUsage) | |
| // Calculate CPU delta | |
| cpuDelta := float64(current.CPUStats.CPUUsage.TotalUsage - previous.CPUStats.CPUUsage.TotalUsage) | |
| // Calculate system CPU delta | |
| systemDelta := float64(current.CPUStats.SystemUsage - previous.CPUStats.SystemUsage) |
🤖 Prompt for AI Agents
In go/deploy/metald/internal/backend/docker/metrics.go around lines 187 to 191,
remove the trailing whitespace characters at the end of lines 188 and 191 to
clean up the code formatting.
| func (dm *DockerMetrics) ToVMMetrics() *types.VMMetrics { | ||
| return &types.VMMetrics{ | ||
| Timestamp: dm.Timestamp, | ||
| CpuTimeNanos: int64(dm.CPUUsagePercent * 1e9), // Convert percentage to nanoseconds approximation | ||
| MemoryUsageBytes: dm.MemoryUsageBytes, | ||
| DiskReadBytes: dm.BlockReadBytes, | ||
| DiskWriteBytes: dm.BlockWriteBytes, | ||
| NetworkRxBytes: dm.NetworkRxBytes, | ||
| NetworkTxBytes: dm.NetworkTxBytes, | ||
| } | ||
| } |
There was a problem hiding this comment.
Fix incorrect CPU metrics conversion.
Converting CPU usage percentage to nanoseconds is conceptually incorrect. CPU percentage represents utilization (0-100%), while CpuTimeNanos represents cumulative CPU time consumed. These are fundamentally different metrics.
The ToVMMetrics method should either:
- Return actual CPU time in nanoseconds if available from Docker stats
- Set CpuTimeNanos to a sentinel value (e.g., -1) to indicate it's not available
- Add a separate field for CPU percentage in the VMMetrics type
Consider this approach:
func (dm *DockerMetrics) ToVMMetrics() *types.VMMetrics {
return &types.VMMetrics{
Timestamp: dm.Timestamp,
- CpuTimeNanos: int64(dm.CPUUsagePercent * 1e9), // Convert percentage to nanoseconds approximation
+ CpuTimeNanos: -1, // CPU percentage cannot be converted to CPU time
MemoryUsageBytes: dm.MemoryUsageBytes,
DiskReadBytes: dm.BlockReadBytes,
DiskWriteBytes: dm.BlockWriteBytes,
NetworkRxBytes: dm.NetworkRxBytes,
NetworkTxBytes: dm.NetworkTxBytes,
}
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| func (dm *DockerMetrics) ToVMMetrics() *types.VMMetrics { | |
| return &types.VMMetrics{ | |
| Timestamp: dm.Timestamp, | |
| CpuTimeNanos: int64(dm.CPUUsagePercent * 1e9), // Convert percentage to nanoseconds approximation | |
| MemoryUsageBytes: dm.MemoryUsageBytes, | |
| DiskReadBytes: dm.BlockReadBytes, | |
| DiskWriteBytes: dm.BlockWriteBytes, | |
| NetworkRxBytes: dm.NetworkRxBytes, | |
| NetworkTxBytes: dm.NetworkTxBytes, | |
| } | |
| } | |
| func (dm *DockerMetrics) ToVMMetrics() *types.VMMetrics { | |
| return &types.VMMetrics{ | |
| Timestamp: dm.Timestamp, | |
| CpuTimeNanos: -1, // CPU percentage cannot be converted to CPU time | |
| MemoryUsageBytes: dm.MemoryUsageBytes, | |
| DiskReadBytes: dm.BlockReadBytes, | |
| DiskWriteBytes: dm.BlockWriteBytes, | |
| NetworkRxBytes: dm.NetworkRxBytes, | |
| NetworkTxBytes: dm.NetworkTxBytes, | |
| } | |
| } |
🤖 Prompt for AI Agents
In go/deploy/metald/internal/backend/docker/types.go lines 104 to 114, the
ToVMMetrics method incorrectly converts CPU usage percentage to CpuTimeNanos,
which is conceptually wrong. Fix this by either retrieving and returning the
actual CPU time in nanoseconds if available, or set CpuTimeNanos to a sentinel
value like -1 to indicate unavailability. Alternatively, add a separate field in
VMMetrics for CPU percentage and assign dm.CPUUsagePercent to it, removing the
incorrect conversion.
| func (d *DockerBackend) GetVMMetrics(ctx context.Context, vmID string) (*backendtypes.VMMetrics, error) { | ||
| ctx, span := d.tracer.Start(ctx, "metald.docker.get_vm_metrics", | ||
| trace.WithAttributes(attribute.String("vm_id", vmID)), | ||
| ) | ||
| defer span.End() | ||
|
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||
| d.mutex.RLock() | ||
| vm, exists := d.vmRegistry[vmID] | ||
| d.mutex.RUnlock() | ||
|
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||
| if !exists { | ||
| err := fmt.Errorf("vm %s not found", vmID) | ||
| span.RecordError(err) | ||
| return nil, err | ||
| } | ||
|
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||
| // Get container stats | ||
| stats, err := d.dockerClient.ContainerStats(ctx, vm.ContainerID, false) | ||
| if err != nil { | ||
| span.RecordError(err) | ||
| return nil, fmt.Errorf("failed to get container stats: %w", err) | ||
| } | ||
| defer stats.Body.Close() | ||
|
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||
| // Parse stats | ||
| var dockerStats types.StatsJSON | ||
| if err := json.NewDecoder(stats.Body).Decode(&dockerStats); err != nil { | ||
| span.RecordError(err) | ||
| return nil, fmt.Errorf("failed to decode container stats: %w", err) | ||
| } | ||
|
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||
| // Convert to VM metrics | ||
| metrics := &backendtypes.VMMetrics{ | ||
| Timestamp: time.Now(), | ||
| CpuTimeNanos: int64(dockerStats.CPUStats.CPUUsage.TotalUsage), | ||
| MemoryUsageBytes: int64(dockerStats.MemoryStats.Usage), | ||
| DiskReadBytes: 0, // TODO: Calculate from BlkioStats | ||
| DiskWriteBytes: 0, // TODO: Calculate from BlkioStats | ||
| NetworkRxBytes: 0, // TODO: Calculate from NetworkStats | ||
| NetworkTxBytes: 0, // TODO: Calculate from NetworkStats | ||
| } | ||
|
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||
| // Calculate disk I/O | ||
| for _, blkio := range dockerStats.BlkioStats.IoServiceBytesRecursive { | ||
| if blkio.Op == "Read" { | ||
| metrics.DiskReadBytes += int64(blkio.Value) | ||
| } else if blkio.Op == "Write" { | ||
| metrics.DiskWriteBytes += int64(blkio.Value) | ||
| } | ||
| } | ||
|
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||
| // Calculate network I/O | ||
| if dockerStats.Networks != nil { | ||
| for _, netStats := range dockerStats.Networks { | ||
| metrics.NetworkRxBytes += int64(netStats.RxBytes) | ||
| metrics.NetworkTxBytes += int64(netStats.TxBytes) | ||
| } | ||
| } | ||
|
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||
| return metrics, nil | ||
| } |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove outdated TODOs and use MetricsCollector to avoid duplication.
The TODO comments on lines 555-558 are misleading as the implementation exists below (lines 562-576). Additionally, this duplicates the metrics collection logic from metrics.go.
Refactor to use the MetricsCollector:
func (d *DockerBackend) GetVMMetrics(ctx context.Context, vmID string) (*backendtypes.VMMetrics, error) {
ctx, span := d.tracer.Start(ctx, "metald.docker.get_vm_metrics",
trace.WithAttributes(attribute.String("vm_id", vmID)),
)
defer span.End()
d.mutex.RLock()
vm, exists := d.vmRegistry[vmID]
d.mutex.RUnlock()
if !exists {
err := fmt.Errorf("vm %s not found", vmID)
span.RecordError(err)
return nil, err
}
- // Get container stats
- stats, err := d.dockerClient.ContainerStats(ctx, vm.ContainerID, false)
- if err != nil {
- span.RecordError(err)
- return nil, fmt.Errorf("failed to get container stats: %w", err)
- }
- defer stats.Body.Close()
-
- // Parse stats
- var dockerStats types.StatsJSON
- if err := json.NewDecoder(stats.Body).Decode(&dockerStats); err != nil {
- span.RecordError(err)
- return nil, fmt.Errorf("failed to decode container stats: %w", err)
- }
-
- // Convert to VM metrics
- metrics := &backendtypes.VMMetrics{
- Timestamp: time.Now(),
- CpuTimeNanos: int64(dockerStats.CPUStats.CPUUsage.TotalUsage),
- MemoryUsageBytes: int64(dockerStats.MemoryStats.Usage),
- DiskReadBytes: 0, // TODO: Calculate from BlkioStats
- DiskWriteBytes: 0, // TODO: Calculate from BlkioStats
- NetworkRxBytes: 0, // TODO: Calculate from NetworkStats
- NetworkTxBytes: 0, // TODO: Calculate from NetworkStats
- }
-
- // Calculate disk I/O
- for _, blkio := range dockerStats.BlkioStats.IoServiceBytesRecursive {
- if blkio.Op == "Read" {
- metrics.DiskReadBytes += int64(blkio.Value)
- } else if blkio.Op == "Write" {
- metrics.DiskWriteBytes += int64(blkio.Value)
- }
- }
-
- // Calculate network I/O
- if dockerStats.Networks != nil {
- for _, netStats := range dockerStats.Networks {
- metrics.NetworkRxBytes += int64(netStats.RxBytes)
- metrics.NetworkTxBytes += int64(netStats.TxBytes)
- }
- }
-
- return metrics, nil
+ // Use the MetricsCollector to avoid code duplication
+ collector := NewMetricsCollector(d.logger, d.dockerClient, d.tracer)
+ return collector.CollectMetrics(ctx, vm.ContainerID)
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| func (d *DockerBackend) GetVMMetrics(ctx context.Context, vmID string) (*backendtypes.VMMetrics, error) { | |
| ctx, span := d.tracer.Start(ctx, "metald.docker.get_vm_metrics", | |
| trace.WithAttributes(attribute.String("vm_id", vmID)), | |
| ) | |
| defer span.End() | |
| d.mutex.RLock() | |
| vm, exists := d.vmRegistry[vmID] | |
| d.mutex.RUnlock() | |
| if !exists { | |
| err := fmt.Errorf("vm %s not found", vmID) | |
| span.RecordError(err) | |
| return nil, err | |
| } | |
| // Get container stats | |
| stats, err := d.dockerClient.ContainerStats(ctx, vm.ContainerID, false) | |
| if err != nil { | |
| span.RecordError(err) | |
| return nil, fmt.Errorf("failed to get container stats: %w", err) | |
| } | |
| defer stats.Body.Close() | |
| // Parse stats | |
| var dockerStats types.StatsJSON | |
| if err := json.NewDecoder(stats.Body).Decode(&dockerStats); err != nil { | |
| span.RecordError(err) | |
| return nil, fmt.Errorf("failed to decode container stats: %w", err) | |
| } | |
| // Convert to VM metrics | |
| metrics := &backendtypes.VMMetrics{ | |
| Timestamp: time.Now(), | |
| CpuTimeNanos: int64(dockerStats.CPUStats.CPUUsage.TotalUsage), | |
| MemoryUsageBytes: int64(dockerStats.MemoryStats.Usage), | |
| DiskReadBytes: 0, // TODO: Calculate from BlkioStats | |
| DiskWriteBytes: 0, // TODO: Calculate from BlkioStats | |
| NetworkRxBytes: 0, // TODO: Calculate from NetworkStats | |
| NetworkTxBytes: 0, // TODO: Calculate from NetworkStats | |
| } | |
| // Calculate disk I/O | |
| for _, blkio := range dockerStats.BlkioStats.IoServiceBytesRecursive { | |
| if blkio.Op == "Read" { | |
| metrics.DiskReadBytes += int64(blkio.Value) | |
| } else if blkio.Op == "Write" { | |
| metrics.DiskWriteBytes += int64(blkio.Value) | |
| } | |
| } | |
| // Calculate network I/O | |
| if dockerStats.Networks != nil { | |
| for _, netStats := range dockerStats.Networks { | |
| metrics.NetworkRxBytes += int64(netStats.RxBytes) | |
| metrics.NetworkTxBytes += int64(netStats.TxBytes) | |
| } | |
| } | |
| return metrics, nil | |
| } | |
| func (d *DockerBackend) GetVMMetrics(ctx context.Context, vmID string) (*backendtypes.VMMetrics, error) { | |
| ctx, span := d.tracer.Start(ctx, "metald.docker.get_vm_metrics", | |
| trace.WithAttributes(attribute.String("vm_id", vmID)), | |
| ) | |
| defer span.End() | |
| d.mutex.RLock() | |
| vm, exists := d.vmRegistry[vmID] | |
| d.mutex.RUnlock() | |
| if !exists { | |
| err := fmt.Errorf("vm %s not found", vmID) | |
| span.RecordError(err) | |
| return nil, err | |
| } | |
| // Use the MetricsCollector to avoid code duplication | |
| collector := NewMetricsCollector(d.logger, d.dockerClient, d.tracer) | |
| return collector.CollectMetrics(ctx, vm.ContainerID) | |
| } |
🤖 Prompt for AI Agents
In go/deploy/metald/internal/backend/docker/client.go between lines 519 and 579,
remove the outdated TODO comments about calculating disk and network metrics
since the actual calculation is implemented below. Refactor the method to use
the existing MetricsCollector from metrics.go instead of duplicating the logic
for disk and network I/O metrics collection. This involves replacing the manual
aggregation of BlkioStats and NetworkStats with calls to MetricsCollector
methods to gather these metrics, ensuring consistency and avoiding code
duplication.
| // generateVMID generates a unique VM ID | ||
| func (d *DockerBackend) generateVMID() string { | ||
| return fmt.Sprintf("vm-%d", time.Now().UnixNano()) | ||
| } |
There was a problem hiding this comment.
🧹 Nitpick (assertive)
Improve VM ID generation to avoid potential collisions.
Using timestamp alone for ID generation could theoretically result in collisions if multiple VMs are created in the same nanosecond.
Consider using a more robust ID generation:
+import (
+ "crypto/rand"
+ "encoding/hex"
+)
func (d *DockerBackend) generateVMID() string {
- return fmt.Sprintf("vm-%d", time.Now().UnixNano())
+ // Generate random bytes for uniqueness
+ bytes := make([]byte, 8)
+ if _, err := rand.Read(bytes); err != nil {
+ // Fallback to timestamp if random generation fails
+ return fmt.Sprintf("vm-%d", time.Now().UnixNano())
+ }
+ return fmt.Sprintf("vm-%s", hex.EncodeToString(bytes))
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| // generateVMID generates a unique VM ID | |
| func (d *DockerBackend) generateVMID() string { | |
| return fmt.Sprintf("vm-%d", time.Now().UnixNano()) | |
| } | |
| // Don’t forget to add these imports alongside your existing ones: | |
| // "crypto/rand" | |
| // "encoding/hex" | |
| // generateVMID generates a unique VM ID | |
| func (d *DockerBackend) generateVMID() string { | |
| // Generate random bytes for uniqueness | |
| bytes := make([]byte, 8) | |
| if _, err := rand.Read(bytes); err != nil { | |
| // Fallback to timestamp if random generation fails | |
| return fmt.Sprintf("vm-%d", time.Now().UnixNano()) | |
| } | |
| return fmt.Sprintf("vm-%s", hex.EncodeToString(bytes)) | |
| } |
🤖 Prompt for AI Agents
In go/deploy/metald/internal/backend/docker/client.go around lines 599 to 602,
the generateVMID function currently creates VM IDs using only the current
timestamp in nanoseconds, which can lead to collisions if multiple VMs are
created simultaneously. To fix this, update the function to generate VM IDs
using a more robust method such as incorporating a UUID or a random component
alongside the timestamp to ensure uniqueness and avoid potential collisions.
1 participant
What does this PR do?
This PR adds a Docker-based development environment plan for Unkey deploy services. It introduces a detailed implementation plan for creating a single Docker container that runs all four deploy services (assetmanagerd, billaged, builderd, metald) for local development. The implementation includes a Docker backend for metald that creates containers instead of VMs, providing a simplified development experience without requiring Firecracker/KVM setup.
The PR adds:
Fixes #(issue)
Type of change
How should this be tested?
It should still build.. that was the only requirement here
Checklist
Required
pnpm buildpnpm fmtconsole.logsgit pull origin mainAppreciated
Summary by CodeRabbit
New Features
Documentation