


PnR: Configuration-Intention Driven Container Orchestration with Gos Platform Abstraction
Have you ever wished container orchestration could be more flexible than static dependency chains but simpler than Kubernetes? Meet PnR (Prompt and Response) - a configuration-driven approach that leverages Go's powerful platform abstraction capabilities to orchestrate containers based on actual readiness states rather than simple dependencies.
The Power of Go's Platform Abstraction
Before diving into PnR, let's understand why Go is particularly well-suited for cross-platform container orchestration:
-
Unified Docker API Interface: Go's Docker client library provides a consistent interface across Windows, Linux, and macOS through platform-specific socket connections:
- Unix systems use /var/run/docker.sock
- Windows uses named pipes
- The client.NewClientWithOpts() function automatically handles these differences
-
Native Concurrency Support: Go's goroutines and channels enable efficient container monitoring:
- Each container's health check runs concurrently
- The intention loop coordinates multiple containers without blocking
- Mutex-protected state updates prevent race conditions
-
Cross-Platform Network Handling: Go's net package abstracts platform-specific network details:
- TCP health checks work identically across operating systems
- HTTP clients handle platform-specific DNS resolution
- Port binding uses consistent syntax regardless of platform
The Core Concept: Configuration over Code
PnR orchestrates containers through three key components:
- Domain configuration (JSON)
- Platform-agnostic health checks
- Runtime state management
Let's see this in action with a typical web stack: MongoDB, API Server, and Web Client.
Domain Configuration Structure
{ "name": "dev_stack", "cpuxs": { "stack_startup": { "design_chunks": [ { "name": "mongodb", "gatekeeper": { "system_ready": { "prompt": "Is system ready?", "response": ["yes"], "tv": "Y" } }, "flowout": { "mongodb_ready": { "prompt": "Is MongoDB ready?", "response": ["yes"], "tv": "Y" } }, "health_check": { "type": "tcp", "port_key": "27017", "timeout_seconds": 2, "status_mapping": { "success": { "key": "mongodb_ready", "response": ["yes"], "tv": "Y" }, "failure": { "key": "mongodb_ready", "response": ["no"], "tv": "N" } } }, "container": { "name": "pnr_mongodb", "image": "mongo:latest", "ports": { "27017": "27017" } } } ] } } }
Platform-Agnostic Container Management
The heart of PnR is its platform-agnostic container management. Here's how it works:
func (il *ContainerIntentionLoop) Execute() error { // Create platform-specific network _, err := il.dockerClient.NetworkCreate(il.ctx, "pnr_network", types.NetworkCreate{}) if err != nil { return fmt.Errorf("failed to create network: %v", err) } for { // Update runtime state if err := il.updateRTStateFromRuntime(); err != nil { return err } allCompleted := true anyExecuting := false // Process each container for i := range il.cpux.DesignChunks { chunk := &il.cpux.DesignChunks[i] // Container state machine switch chunk.Status { case "completed": continue case "executing": anyExecuting = true allCompleted = false if il.checkChunkCompletion(chunk) { chunk.Status = "completed" } case "", "ready": allCompleted = false if il.checkGatekeeper(chunk) { if err := il.startContainer(chunk); err != nil { return err } chunk.Status = "executing" anyExecuting = true } } } // Check termination conditions if allCompleted { return nil } if !anyExecuting && !allCompleted { return fmt.Errorf("no progress possible - execution stalled") } time.Sleep(5 * time.Second) } }
Cross-Platform Health Checks
PnR implements platform-independent health checks using Go's standard libraries:
{ "name": "dev_stack", "cpuxs": { "stack_startup": { "design_chunks": [ { "name": "mongodb", "gatekeeper": { "system_ready": { "prompt": "Is system ready?", "response": ["yes"], "tv": "Y" } }, "flowout": { "mongodb_ready": { "prompt": "Is MongoDB ready?", "response": ["yes"], "tv": "Y" } }, "health_check": { "type": "tcp", "port_key": "27017", "timeout_seconds": 2, "status_mapping": { "success": { "key": "mongodb_ready", "response": ["yes"], "tv": "Y" }, "failure": { "key": "mongodb_ready", "response": ["no"], "tv": "N" } } }, "container": { "name": "pnr_mongodb", "image": "mongo:latest", "ports": { "27017": "27017" } } } ] } } }
Key Benefits
- True Cross-Platform Support: Works identically on Windows, Linux, and macOS
- Configuration-Driven: All orchestration logic in domain.json
- Container Agnostic: No PnR-specific container modifications needed
- Flexible Health Checks: TCP, HTTP, and extensible to other protocols
- State Visibility: Clear status updates through runtime files
- Concurrent Execution: Efficient parallel container management
Getting Started
Full code is available here : Github
Prerequisites
Install Go (1.19 or later):
Install Docker
Project Structure
func (il *ContainerIntentionLoop) Execute() error { // Create platform-specific network _, err := il.dockerClient.NetworkCreate(il.ctx, "pnr_network", types.NetworkCreate{}) if err != nil { return fmt.Errorf("failed to create network: %v", err) } for { // Update runtime state if err := il.updateRTStateFromRuntime(); err != nil { return err } allCompleted := true anyExecuting := false // Process each container for i := range il.cpux.DesignChunks { chunk := &il.cpux.DesignChunks[i] // Container state machine switch chunk.Status { case "completed": continue case "executing": anyExecuting = true allCompleted = false if il.checkChunkCompletion(chunk) { chunk.Status = "completed" } case "", "ready": allCompleted = false if il.checkGatekeeper(chunk) { if err := il.startContainer(chunk); err != nil { return err } chunk.Status = "executing" anyExecuting = true } } } // Check termination conditions if allCompleted { return nil } if !anyExecuting && !allCompleted { return fmt.Errorf("no progress possible - execution stalled") } time.Sleep(5 * time.Second) } }
Installation
func (il *ContainerIntentionLoop) checkChunkCompletion(chunk *DesignChunk) bool { // Platform-agnostic container status check isRunning, err := il.isContainerRunning(chunk.Container.Name) if !isRunning { il.updateChunkStatus(chunk, false) return false } // Health check based on configuration status := false switch chunk.HealthCheck.Type { case "tcp": addr := fmt.Sprintf("localhost:%s", chunk.Container.Ports[chunk.HealthCheck.PortKey]) conn, err := net.DialTimeout("tcp", addr, timeout) if err == nil { conn.Close() status = true } case "http": url := fmt.Sprintf("http://localhost:%s%s", chunk.Container.Ports[chunk.HealthCheck.PortKey], chunk.HealthCheck.Path) resp, err := client.Get(url) if err == nil { status = (resp.StatusCode == chunk.HealthCheck.ExpectedCode) } } il.updateChunkStatus(chunk, status) return status }
Building and Running
pnr-orchestrator/ ├── main.go ├── containers.go ├── config/ │ └── domain.json └── runtime/ # Created automatically
Beyond Simple Dependencies
Traditional Docker Compose:
# Create project directory mkdir pnr-orchestrator cd pnr-orchestrator # Initialize Go module go mod init pnr-orchestrator # Install dependencies go get github.com/docker/docker/client go get github.com/docker/docker/api/types go get github.com/docker/go-connections/nat
PnR's intelligent orchestration:
# Option 1: Direct run go run main.go containers.go # Option 2: Build and run separately go build ./pnr-orchestrator # Unix/Linux/Mac pnr-orchestrator.exe # Windows
The key difference? PnR ensures actual service readiness across any platform, not just container startup.
Next Steps
- Explore more complex orchestration patterns
- Add custom health check types
- Implement graceful shutdown and cleanup
- Create platform-specific optimization hints
PnR demonstrates how Go's strong platform abstraction capabilities can create robust, cross-platform container orchestration tools without sacrificing simplicity or power.
Let me know in the comments if you'd like to see more examples or have questions about platform-specific implementations!
The above is the detailed content of PnR: Configuration-Intention Driven Container Orchestration with Gos Platform Abstraction. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...

Under the BeegoORM framework, how to specify the database associated with the model? Many Beego projects require multiple databases to be operated simultaneously. When using Beego...

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

The problem of using RedisStream to implement message queues in Go language is using Go language and Redis...

What should I do if the custom structure labels in GoLand are not displayed? When using GoLand for Go language development, many developers will encounter custom structure tags...

The difference between string printing in Go language: The difference in the effect of using Println and string() functions is in Go...
