Use Cases
Common Use Cases
- Query result caching
- Session storage
- Rate limiting
- Real-time leaderboards
Before You Begin
Prerequisites
- Redis 6+ instance
- PostgreSQL database
- Understanding of caching patterns
Walkthrough
Step-by-Step Guide
1
Configure Both MCP Servers
Set up Redis and PostgreSQL MCP Servers with connection details.
2
Implement Cache-Aside Pattern
Check Redis first, fall back to PostgreSQL, then populate cache.
async function getUser(id) {
// Check cache first
const cached = await redis.get(`user:${id}`);
if (cached) return JSON.parse(cached);
// Cache miss - query database
const result = await postgres.query("SELECT * FROM users WHERE id=$1", [id]);
const user = result.rows[0];
// Populate cache with TTL
await redis.set(`user:${id}`, JSON.stringify(user), { EX: 300 });
return user;
}3
Handle Cache Invalidation
Invalidate cached data when the underlying database records change.
4
Monitor Cache Performance
Track hit rates, miss rates, and memory usage.
async function cacheStats() {
const info = await redis.info("stats");
const hits = parseInt(info.keyspace_hits);
const misses = parseInt(info.keyspace_misses);
return { hitRate: (hits / (hits + misses) * 100).toFixed(1) + "%", memoryUsed: info.used_memory_human };
}Examples
Code Examples
typescript
Cache Invalidation
async function updateUser(id, data) {
await postgres.query("UPDATE users SET name=$1, email=$2 WHERE id=$3", [data.name, data.email, id]);
await redis.del(`user:${id}`); // Invalidate cache
}Help
Troubleshooting
When should I NOT cache?+
How do I handle cache stampede?+
Quick Info
DifficultyIntermediate
Time Estimate1 hour
Tools
Redis MCP ServerPostgreSQL MCP Server