SCALING — FROM 100 TO 100 MILLION USERS

ICP scales horizontally by adding subnets. Here is how to build for massive scale.

HORIZONTAL SCALING:

1. Multiple canisters for different functions

2. Geographic distribution of canisters

3. Load balancing across subnets

4. Automatic scaling through NNS

CANISTER ARCHITECTURE:

1. Microservices approach

2. Each function in its own canister

3. Inter-canister communication

4. Independent scaling per canister

DATA PARTITIONING:

1. Shard data across multiple canisters

2. Use stable memory for large datasets

3. Implement data pagination

4. Cache frequently accessed data

CACHING STRATEGIES:

1. Query calls are fast (no consensus)

2. Use composite queries for complex reads

3. Cache results in heap memory

4. Invalidate cache strategically

LOAD TESTING:

1. Simulate concurrent users

2. Measure response times under load

3. Identify bottlenecks

4. Optimize hot paths

MONITORING:

1. Track canister performance

2. Monitor subnet utilization

3. Set up alerts for degradation

4. Plan capacity ahead

PRODUCTION CHECKLIST:

1. Multiple canisters for redundancy

2. Geographic distribution

3. Automatic failover

4. Performance monitoring

5. Cost optimization

This is how ICP scales to support the next billion users.

Next: Part 29 — DeFi Infrastructure

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