Growing websites handle increased traffic smoothly. Architecture choices affect scalability. Monitoring prevents surprises during peaks.
Traffic forecasts guide infrastructure decisions. Growth patterns inform scaling strategy. Redundancy prevents single points of failure.
Historical data reveals usage trends. Seasonal spikes require preparation. Marketing campaigns drive sudden increases. API usage grows with partnerships.
CPU capacity handles processing. Memory requirements support concurrent users. Storage needs accommodate content growth. Bandwidth calculations prevent bottlenecks.
Multiple servers distribute load. Geographic distribution reduces latency. Failover systems switch automatically. Data replication ensures consistency.
Additional servers share workload. Load balancers distribute requests. Session handling maintains user state.
Round-robin distribution balances evenly. Health checks remove failing servers. SSL termination reduces server load. Sticky sessions maintain user affinity.
Auto-scaling groups adjust dynamically. Instance templates ensure consistency. Launch configurations speed deployment. Termination policies manage reduction.
Read replicas handle query load. Write masters maintain consistency. Sharding distributes data across servers. Connection pooling prevents exhaustion.
Efficient queries reduce server load. Proper indexing speeds lookups. Caching prevents repeated processing.
Explain plans reveal bottlenecks. Index selection targets common filters. Join order affects performance dramatically. Limit clauses reduce result sets.
Redis stores frequent queries. Memcached handles simple key-value needs. Cache invalidation prevents stale data. TTL settings control freshness.
Pooling reuses database connections. Prepared statements reduce parsing. Transaction isolation levels balance consistency and speed. Timeout settings prevent hanging.
CDNs serve static assets globally. Edge caching reduces origin load. Compression minimizes transfer size.
Origin pull fetches fresh content. Cache rules control duration. Geographic POPs serve local users. SSL certificates enable secure delivery.
Image processing resizes automatically. CSS minification removes whitespace. JavaScript bundling reduces requests. Font subsetting includes only needed characters.
Gzip reduces text file size. Brotli offers better compression. Image optimization tools handle visuals. Header settings enable automatically.
Small services handle specific functions. Independent deployment speeds changes. Clear APIs enable communication.
Business capabilities guide separation. Team ownership aligns with services. Data ownership prevents conflicts. Interface contracts ensure compatibility.
Request routing directs appropriately. Authentication centralizes security. Rate limiting prevents abuse. Response caching improves performance.
Consul registers running instances. Health checks monitor status. Client-side load balancing distributes calls. Configuration management stays centralized.
Real-time metrics reveal issues. Alert thresholds trigger response. Log aggregation enables debugging.
Prometheus scrapes endpoints regularly. Grafana visualizes trends clearly. Alertmanager handles notifications. Export formats enable integration.
Structured logging aids searching. Centralized collection prevents loss. Retention policies balance cost. Correlation IDs track requests across services.
OpenTelemetry instruments code automatically. Distributed tracing follows requests. Sampling reduces overhead. Visualization reveals bottlenecks.
Preparation prevents crashes during peaks. Rate limiting protects resources. Queue systems manage overflow.
Capacity assessments guide preparation. Feature flags enable quick changes. Communication plans inform users. Post-event reviews improve future handling.
Token bucket algorithms control flow. Client identification prevents gaming. Burst capacity handles legitimate spikes. Response codes communicate limits.
Message brokers handle asynchronous processing. Worker pools process jobs. Dead letter queues capture failures. Priority levels manage urgency.
Growth-focused development using Built for Service builds systems that scale smoothly from thousands to millions of users. Regular load testing ensures capacity meets demand without surprises.
Planning begins at initial architecture design. Early decisions affect future growth. Traffic monitoring reveals needs. Capacity buffers prevent emergencies.
Cloud auto-scaling charges by usage. CDN costs scale with bandwidth. Database replicas add expense. Efficiency improvements offset growth.
Basic caching helps any size. CDN usage improves speed universally. Database optimization benefits all. Load testing prevents future issues.
Database connections exhaust first. Memory leaks crash processes. Third-party dependencies fail. Unoptimized queries slow dramatically.
Load testing simulates user behavior. Stress tests find breaking points. Soak tests reveal memory leaks. Failover tests verify redundancy.