Dev Environment Cost Optimizer

Free v1.0.0

Reduce dev/staging cloud costs by 60-70% through intelligent scheduling. Get cloud-specific scripts and savings calculations for AWS, GCP, or Azure.

What You Get

Bootstrapped founders get ready-to-implement scheduling automation that cuts dev/staging environment costs by 60-70%, with specific dollar savings, cloud-native scripts, and safety protocols.

The Problem

Bootstrapped SaaS founders waste money on development and staging environments that run 24/7 despite being used only during work hours. Industry research shows 27% of cloud costs go to dev/testing environments, with 70% of resources idle during non-work hours. A founder paying $3,000/month could be wasting $600-900/month on non-production environments running overnight and weekends. This happens because founders spin up dev environments and forget to shut them down, fear losing data or breaking CI/CD pipelines, lack knowledge about scheduling options, and have no time to research and implement automation.

The Solution

This skill analyzes your dev/staging environment setup and generates cloud-specific automation scripts to stop/start resources based on your work schedule. It calculates precise savings based on idle hours (typically 60-70% for 9am-6pm Mon-Fri schedules), provides ready-to-run implementation scripts for AWS Instance Scheduler, GCP Cloud Scheduler, or Azure Automation, includes safety checklists to verify CI/CD compatibility, and delivers gradual rollout protocols with rollback procedures. Users get both the savings projection with transparent math and the complete implementation package with monitoring setup.

How It Works

  1. 1 Gather environment details: cloud provider, resource inventory, current costs, work hours, and CI/CD constraints
  2. 2 Calculate savings potential by analyzing current vs. optimized hours and estimating dollar savings
  3. 3 Generate cloud-specific implementation scripts (AWS EventBridge/Lambda, GCP Cloud Scheduler, Azure Automation)
  4. 4 Provide safety checklist including CI/CD verification, backup procedures, and testing protocols
  5. 5 Create audit guidance if user is unsure what to optimize, with commands to identify resources
  6. 6 Deliver monitoring setup to verify actual savings and catch failed starts

What You'll Need

  • Cloud provider account (AWS, GCP, or Azure) with CLI configured
  • Permissions to create/modify resources and scheduling automation
  • Knowledge of which resources are dev/staging vs. production
  • Team work hours and timezone information
  • Understanding of CI/CD pipeline timing and dependencies