Skip to main content

Backend.AI AppProxy Worker

Project description

Backend.AI App Proxy Worker

Purpose

The App Proxy Worker is a high-performance reverse proxy that routes user traffic to compute session services (Jupyter, SSH, TensorBoard, etc.) running on agents. It receives routing information from the Coordinator and handles SSL/TLS termination, load balancing, and traffic forwarding.

Key Responsibilities

1. Traffic Proxying

  • Proxy HTTP/HTTPS requests to session services
  • Proxy WebSocket connections for interactive services
  • Handle SSL/TLS termination
  • Stream responses efficiently

2. Route Resolution

  • Receive routing tables from Coordinator
  • Resolve session services from URLs
  • Cache routing information locally
  • Update routes dynamically

3. Health Checking

  • Monitor backend service health
  • Detect failed services
  • Report health status to Coordinator
  • Handle service failover

Architecture

1. Traffic Proxy (Main)

Framework: aiohttp + custom reverse proxy

Port: 5050 (default, HTTPS)

Protocol: HTTP/HTTPS, WebSocket

Key Features:

HTTP/HTTPS Proxy

  • Route user requests to session services
  • URL Pattern: https://<worker-domain>/<session-id>/<service-name>/...

WebSocket Proxy

  • Interactive service communication (Jupyter Kernel, SSH, etc.)
  • Real-time log streaming

Key Characteristics:

  • SSL/TLS termination (Let's Encrypt auto-certificate)
  • High-performance async proxy
  • Connection pooling and reuse
  • Streaming support (large file downloads)
  • Sticky session support
  • Auto-retry and failover

Processing Flow:

HTTP Proxy Flow

User → HTTPS Request → Worker (SSL termination)
                           ↓
                       Parse URL (extract session_id, service_name)
                           ↓
                       Lookup route from local cache
                           ↓
                       Resolve backend address (agent:port)
                           ↓
                       Proxy request to agent
                           ↓
                       Stream response back to user

WebSocket Proxy Flow

User → WS Upgrade Request → Worker
                               ↓
                           Establish WS connection to agent
                               ↓
                           Bidirectional message forwarding

2. REST API (Management)

Framework: aiohttp (async HTTP server)

Port: 6040 (default, separate management port)

Key Features:

  • Communication with Coordinator
  • Health check endpoints
  • Metrics exposure (Prometheus)
  • Internal management (no external access)

Component Interaction

Traffic Proxy Flow:

User (Browser) → Worker (Port 5050) → Kernel (on Agent)
                    │
                    ├─ SSL/TLS termination
                    ├─ Route resolution
                    └─ Traffic proxying

Management Flow:

Coordinator → Worker REST API (Port 6040) → Route updates

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

backend_ai_appproxy_worker-26.2.0rc1.tar.gz (55.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

backend_ai_appproxy_worker-26.2.0rc1-py3-none-any.whl (74.9 kB view details)

Uploaded Python 3

File details

Details for the file backend_ai_appproxy_worker-26.2.0rc1.tar.gz.

File metadata

File hashes

Hashes for backend_ai_appproxy_worker-26.2.0rc1.tar.gz
Algorithm Hash digest
SHA256 2eb12badf9e8f783c3030c654ffbac868e29e76f65e0955621c9ce611656e52e
MD5 649656f25e8be2f6c26f76298734298d
BLAKE2b-256 fec953a90947bb2a1e57d495e6e88d4569ea81aa49d367fe93860812795be41a

See more details on using hashes here.

File details

Details for the file backend_ai_appproxy_worker-26.2.0rc1-py3-none-any.whl.

File metadata

File hashes

Hashes for backend_ai_appproxy_worker-26.2.0rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 e7e8a982fbf752cea883ff013b14a8cacf5a5df74f4e58fd9d92ccac075ecbd2
MD5 03c527557610253468c7e8b9198ccdcc
BLAKE2b-256 ea8237ea5aa0bd3f2207725e3ab534ae43b98c46af0709fb779424b9a1ac1b62

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page