8. Scaling & Operations
Performance, Capacity & Database Optimization
Measure bottlenecks and connect latency to queries, network calls, resources and capacity.
Lesson overview
Performance work starts with measurement. Use latency percentiles, traces, query plans and resource metrics to locate bottlenecks before changing code or infrastructure.
Learning path
Theory → Example → Code → Practice → Quiz → Challenge → Completion
Step 1
Theory
Performance work starts with measurement. Use latency percentiles, traces, query plans and resource metrics to locate bottlenecks before changing code or infrastructure.
Step 2
Example
A slow dashboard query may need pagination, an index or an aggregate instead of another application server.
Step 3
Code
sql
explain analyze
select id, total
from orders
where customer_id = 'customer_123'
order by created_at desc
limit 20;
Step 4
Practice
Review your current application and apply Performance, Capacity & Database Optimization. Document the current behavior, one production risk, the change you would make, and how you would verify it.
Step 5
Quiz
1. What is the central production concern in "Performance, Capacity & Database Optimization"?
Step 6
Challenge
Design a production-ready implementation for Performance, Capacity & Database Optimization. Include failure handling, security considerations, observability, testing and a rollback or recovery path where applicable.
Complete every stage
Work through every step in order, then the lesson will be marked complete.
Each chapter and subtopic has its own public URL under /full-stack-to-production.