Is security included in the configurations?

Yes, the templates follow security best practices by utilizing Kubernetes Secrets, non-root Docker users, and environment-based credential management.

Does this skill support auto-scaling?

Yes, it includes configurations for Kubernetes Horizontal Pod Autoscaling (HPA) and multi-instance worker support for systemd and Docker Compose.

Can I use these templates for local development?

Absolutely. It provides specialized Docker Compose templates designed for local development, including hot-reloading and Redis/PostgreSQL sidecars.

How does it monitor Celery health?

The skill generates both Python-based health modules and shell scripts that verify broker connectivity, worker discovery, and queue depth thresholds.

Celery Deployment Configs

Name: Celery Deployment Configs
Author: vanman2024

byvanman2024

部署与 DevOps

Generates production-grade deployment configurations and orchestration scripts for Celery workers and beat schedulers.

关于

This skill provides comprehensive, production-ready infrastructure templates and orchestration logic for Celery-based applications. It streamlines the complex process of deploying background task workers by providing optimized Dockerfiles, Kubernetes manifests with Horizontal Pod Autoscaling (HPA), and systemd service units. Designed for reliability, it includes built-in health check modules, graceful shutdown handling, and environment-specific validation scripts to ensure your task queues remain stable across Docker Compose, K8s clusters, or traditional VPS environments.

主要功能

Advanced health check modules for broker, worker, and queue monitoring
Production-optimized Dockerfiles with multi-stage builds for small footprints
0 GitHub stars
Automated Kubernetes manifests including HPA, ConfigMaps, and Secrets
Multi-platform support for Kubernetes, Docker Compose, and systemd
End-to-end deployment orchestration and validation scripts

使用场景

Scaling worker pools in Kubernetes based on real-time queue depth and resource usage
Containerizing legacy Celery applications for modern cloud-native environments
Setting up resilient background task processing on bare-metal or VPS servers using systemd

关于

主要功能

Advanced health check modules for broker, worker, and queue monitoring
Production-optimized Dockerfiles with multi-stage builds for small footprints
0 GitHub stars
Automated Kubernetes manifests including HPA, ConfigMaps, and Secrets
Multi-platform support for Kubernetes, Docker Compose, and systemd
End-to-end deployment orchestration and validation scripts

使用场景

Scaling worker pools in Kubernetes based on real-time queue depth and resource usage
Containerizing legacy Celery applications for modern cloud-native environments
Setting up resilient background task processing on bare-metal or VPS servers using systemd