Homelab

Docker Compose keeps related workloads understandable and repeatable. Configuration conventions make it possible to reason about dependencies, updates, persistent data, and resource needs without relying on memory.

• Composed service groups with explicit dependencies and health checks
• Deliberate separation between configuration, secrets, and persistent data
• Repeatable update and rollback procedures for routine maintenance

Storage design accounts for durability, performance, growth, and backup cost. GPU-capable workloads are isolated so accelerated compute can be scheduled without making every service depend on it.

• Storage tiers organized around lifecycle and recovery requirements
• GPU workloads with explicit device and resource boundaries
• Capacity checks that surface pressure before it becomes an outage

Remote access remains inside a private trust boundary. Monitoring and alerting focus on actionable service health, host capacity, storage condition, and backup status instead of collecting telemetry without a response plan.

• Private remote access without publishing administrative surfaces
• Health monitoring and alerting tied to operational actions
• Centralized inspection paths for faster incident diagnosis

Automation handles repeatable work, while runbooks record the order and judgment needed for uncommon failures. Backups are considered useful only when their restore path is understood.

• Backup plans based on data value and acceptable recovery windows
• Recovery notes for host, storage, and application-level failures
• Routine automation that remains inspectable and reversible