server-management

Monitoring strategy defines metrics, health checks, and alerting practices to ensure server reliability. Establish what to measure (CPU, memory, disk, application-specific metrics), how often to check, alert thresholds, and log aggregation approach for your production environment.

Process lifecycle management covers robust startup procedures, graceful shutdown sequences, and automatic recovery mechanisms. Define startup order, dependency checks, signal handling for clean shutdown, and restart policies to maintain availability during failures or deployments.

Scaling decisions depend on workload type, cost constraints, and infrastructure. Horizontal scaling adds servers for stateless services; vertical scaling increases resources on existing machines. Establish criteria based on bottleneck type, latency requirements, and whether your application supports distribution.

Capacity planning translates business growth into infrastructure requirements by forecasting load, measuring current resource utilization, and defining scaling thresholds. Consider environment differences: on-prem requires long lead times; cloud offers elasticity but incurs variable costs.

Server management anti-patterns include manual process restarts, reactive alerting without thresholds, over-provisioning without utilization review, and skipping graceful shutdown. Recognizing these helps avoid operational brittleness and unplanned downtime.