system-health

Backend health monitoring is achieved by running automated checks that query the database with Prisma and gather OS metrics to evaluate CPU, disk, and memory status. This produces a single health view to detect anomalies across environments.

A quick health endpoint exposes real-time system status for load balancers and automation. It executes database and OS-level checks, returning a consolidated health report that load balancers can query to route traffic.

Prisma queries are used to verify database health during deployments and incidents. The system runs these queries alongside OS-level checks to continuously verify services remain healthy and report any detected anomalies.

System health diagnostics reduce MTTR by providing continuous visibility into backend services, memory, and disk usage. Early issue detection through automated checks and logged metrics enables faster incident response and auditing.

Health monitoring applies across development, staging, and production environments. It uses platform-specific commands and Prisma queries to evaluate database, memory, disk, and CPU health regardless of the deployment stage.

OS metrics monitoring uses platform-specific commands because disk, memory, and CPU reporting mechanisms vary by operating system. This ensures accurate health diagnostics and system health checks across different infrastructure setups.