Spotto Autopilot for Azure

Get intelligent recommendations and actionable insights for your Azure environment directly in the Azure Portal.

Cloud recommendations shouldn't live in a separate dashboard you'll never check. Spotto Autopilot for Azure reveals cost, security, and performance insights directly inside the Azure Portal - right where you work. When you open a Virtual Machine or App Service, the data shows up instantly. You see estimated costs alongside actionable observations for optimization. No context-switching. No digging through billing CSVs. What you get: - In-context cost insights: See spend data while viewing the resource, not buried in a separate billing tab. - Security & reliability findings: Best practices surfaced immediately, helping you catch configuration drift early. - Performance context: Recommendations tailored to your specific setup and usage patterns. - Non-intrusive workflow: The extension sits quietly in the sidebar and only activates when you view a supported resource. Works across your Azure environment Whether you're reviewing Virtual Machines, Storage Accounts, or SQL Databases, Spotto analyzes metadata to suggest relevant improvements. It integrates natively with the Azure Portal interface, acting as a knowledgeable peer rather than a noisy notification system. For Cloud Engineers and FinOps If your role involves balancing Azure costs with performance and security, Spotto brings the data to your decision point. It suggests moves that can lower spend or harden security without requiring you to leave the portal. Getting Started: 1. Register your Azure account at spotto.ai 2. Install the Spotto Autopilot extension 3. Browse your Azure resources as usual 4. See recommendations appear in the sidebar Privacy Note: The extension connects to your Spotto account to retrieve specific recommendations. We analyze metadata and configuration patterns - never your application data or customer workloads. Fewer tabs. Less firefighting. Better decisions. Spotto Autopilot helps you optimize your cloud environment without breaking your flow.