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performance-optimization

Provides automated HIPAA impact assessments and security reports for proposed IT changes.

Updated Apr 19, 2026
Search Tags:#performance#serverless#optimization#backend#benchmarking#latency
One-click install
npx skills add https://github.com/dmarins/sdd --skill performance-optimization-dmarins
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-optimization
Source: https://github.com/dmarins/sdd/tree/main/skills/performance-optimization
Command: npx skills add https://github.com/dmarins/sdd --skill performance-optimization-dmarins

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses performance bottlenecks in serverless backend systems by replacing guesswork with systematic measurement, identification, and verification of latency and resource issues.

Core Features & Use Cases

  • Performance Profiling: Provides structured workflows for measuring p95/p99 latency, cold starts, and resource utilization using tools like pprof and k6.
  • Anti-Pattern Remediation: Offers specific guidance on fixing common issues like N+1 queries, inefficient Lambda initialization, and improper caching.
  • Use Case: Use this skill when your Go-based AWS Lambda functions experience high latency or throttling to identify the root cause and verify the effectiveness of your optimizations.

Quick Start

Use the performance-optimization skill to analyze the current latency bottlenecks in the orders-api service and suggest a remediation plan based on the provided metrics.

Frequently Asked Questions about performance-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I identify backend performance bottlenecks in AWS Lambda?▼

Backend performance bottlenecks in AWS Lambda are identified by establishing baselines and profiling p95/p99 latency, cold starts, and resource consumption using tools like pprof and k6 to pinpoint database query and API latency issues.

What is the best way to fix N+1 query issues causing high latency in serverless architectures?▼

Fixing N+1 query issues in serverless architectures involves applying anti-pattern remediation techniques guided by structured profiling workflows, verifying optimization effectiveness through rigorous benchmarking and regression prevention monitoring.

Can I use this performance optimization workflow for non-Go serverless environments?▼

This performance optimization workflow is specifically designed for Go-based AWS serverless environments, targeting SLO/SLA compliance and cost-efficient scaling requirements rather than general non-Go serverless platforms.

How do I measure cold starts and p99 latency to ensure SLO compliance?▼

Measure cold starts and p99 latency for SLO compliance by applying structured performance profiling workflows that establish resource utilization baselines and identify throttling root causes in your serverless backend.

Why does my Go AWS Lambda function experience throttling and high latency?▼

Go AWS Lambda functions experience throttling and high latency due to common bottlenecks like inefficient Lambda initialization, improper caching, and N+1 database queries, requiring systematic measurement to identify root causes.

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