Caching Patterns for SaaS Architecture
Learn the core caching patterns that make SaaS systems fast and scalable, including cache-aside, write-through, TTLs, and tenant-aware cache keys.
Why Caching Matters
A cache stores frequently accessed data in fast storage so you avoid expensive recomputation or database hits.
For SaaS, caching reduces latency, lowers database load, and cuts cost as you scale to thousands of tenants.
Cache-Aside Pattern
The most common pattern is cache-aside (lazy loading): the application checks the cache first, and on a miss loads from the database and populates the cache.
function getUser(id) {
let user = cache.get('user:' + id);
if (!user) {
user = db.query('SELECT * FROM users WHERE id=?', id);
cache.set('user:' + id, user, 300); // 5 min TTL
}
return user;
}All lessons in this course
- Multi-tenancy Models Explained
- Data Storage Strategies for SaaS
- Designing Robust SaaS APIs
- Caching Patterns for SaaS Architecture