Architecture
Scaling Guide
Architecture patterns and best practices for scaling your JustKalm integration from thousands to millions of requests per second.
10M+
Requests/day
<50ms
P99 latency
99.99%
Uptime SLA
∞
Auto-scale
Scaling Patterns
Horizontal Scaling
Add more instances to distribute load
- Linear capacity increase
- No single point of failure
- Cost-effective scaling
Use load balancers with health checks. Ensure stateless applications.
Connection Pooling
Reuse database connections efficiently
- Reduced connection overhead
- Better resource utilization
- Lower latency
Configure pool size based on cores × 2 + 1. Use PgBouncer for PostgreSQL.
Edge Caching
Cache responses at the edge network
- Sub-10ms response times
- Reduced origin load
- Global performance
Use CDN with cache-control headers. Invalidate on data changes.
Read Replicas
Distribute read queries across replicas
- 10x read throughput
- Geographic distribution
- Failover capability
Route reads to replicas, writes to primary. Monitor replication lag.
Connection Pooling
# Python: Configure connection pooling with SQLAlchemy
from sqlalchemy import create_engine
from sqlalchemy.pool import QueuePool
engine = create_engine(
"postgresql://user:pass@host/db",
poolclass=QueuePool,
pool_size=10, # Base pool size
max_overflow=20, # Additional connections when busy
pool_timeout=30, # Wait time for available connection
pool_recycle=1800, # Recycle connections after 30 min
pool_pre_ping=True, # Verify connections before use
)
# Recommended formula: pool_size = (2 × cores) + spindles
# For 4 cores with SSD: pool_size = 10Bottleneck Troubleshooting
Database Connection Exhaustion
Connection timeout errorsIncreasing latencyThread pool blocking
Implement connection pooling, add read replicas, optimize slow queries.
Memory Pressure
OOM killsGC pausesSwap usage
Profile memory usage, fix leaks, implement request-level caching limits.
CPU Saturation
High CPU utilizationRequest queueingSlow response times
Scale horizontally, optimize algorithms, offload to async workers.
Network Bottleneck
High bandwidth usagePacket lossConnection resets
Compress responses, use CDN, implement pagination.
Need Help Scaling?
Our solutions architects can help design your high-performance integration.
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