Performance Tuner

What it does

The Performance Tuner skill enables AI agents to optimize Gravito applications for speed and efficiency, aiming for response times under 100ms. It focuses on identifying performance bottlenecks through profiling and then applying targeted optimizations such as database indexing, caching, and frontend asset optimization. The skill leverages adaptive algorithms from Gravito to automatically adjust resource allocation and configuration.

When to use it

• When experiencing slow application response times.
• After identifying bottlenecks in logs or using profiling tools.
• To improve the performance of Atlas databases through indexing strategies.
• For optimizing frontend asset loading, particularly when using Vue.js.
• To reduce query execution times and minimize data transfer overhead.

Key capabilities

• Database Indexing: Adds indexes to frequently queried columns in Atlas.
• Caching: Implements caching solutions using Redis or in-memory caches.
• Frontend Optimization: Optimizes asset loading and implements lazy-loading for Vue applications.
• N+1 Query Prevention: Utilizes preload() in Atlas to avoid N+1 query problems.
• Data Transfer Optimization: Recommends the use of Streams for large data transfers.
• Bundle Size Reduction: Suggests techniques like tree-shaking and vendor splitting to minimize bundle size.

Example prompts

• "Analyze this application log file and identify performance bottlenecks."
• "Suggest database indexing strategies for my Atlas queries."
• "How can I optimize asset loading in my Vue frontend?"

Tips & gotchas

• Requires access to application logs and profiling tools to accurately identify bottlenecks.
• The skill is specifically designed for Gravito applications and may not be applicable elsewhere.
• Familiarity with Atlas database concepts (e.g., preload()) will help in understanding the recommendations.