Devtest Optimizerv1.0.0

Agency manages multiple client projects with separate dev/test environments in Azure. They run VMs 24/7 for developer access across time zones, leading to high costs. This skill helps identify non-production VMs for auto-shutdown and assess Dev/Test pricing eligibility to cut waste.

Large organization uses Azure for internal development and testing of applications. With dozens of VMs, they lack consistent tagging, causing production-like spending on dev resources. The skill analyzes VM tags and uptime to enforce schedules and policy-based classification.

Early-stage company runs dev/test environments for product development but has limited budget oversight. They need to optimize costs without manual monitoring. This skill calculates savings from auto-shutdown and provides runbooks for automated management.

University uses Azure for student labs and research projects, with VMs often left running outside class hours. The skill identifies these resources, recommends shutdown schedules, and checks for Dev/Test eligibility via Visual Studio subscriptions.

Firm deploys temporary Azure environments for client demos and testing, but forgets to deprovision them. This skill analyzes cost exports to flag ongoing waste and generates automation scripts for scheduled start/stop to align with project timelines.

Offer this skill as part of a monthly subscription service for Azure cost optimization. Charge users a fee (e.g., $29/mo) for access to analysis and automated recommendations, targeting SMBs with recurring revenue from ongoing monitoring.

Integrate the skill into consulting packages for Azure migration or optimization projects. Use it to provide data-driven insights to clients, upselling services like automation setup or policy enforcement for one-time or retainer-based income.

Provide basic analysis for free to attract users, then charge for advanced features like detailed runbooks, policy templates, or priority support. Monetize through premium tiers or enterprise licenses for larger organizations.