deployment-validation-config-validate

Define a JSON Schema describing required properties, types, and formats, then validate config objects with a library like Ajv in TypeScript. Custom formats such as port ranges or HTTPS-only URLs can be registered to enforce domain-specific rules.

Scan config files with regex patterns matching keys like api_key, password, token, or secret, then flag values that look like real credentials rather than placeholders. Findings are reported with file path and severity for remediation.

Define a rule set per environment, such as disallowing debug mode and requiring HTTPS in production while permitting relaxed rules in development. Validate each config against the rules matching its target environment and report violations with severity levels.

Yes, a file watcher such as chokidar can monitor config files and re-run validation on every change. The runtime validator emits events for validation errors and config changes, and can block startup in non-development environments.

Encrypt sensitive fields with AES-256-GCM using a key derived from a master key via PBKDF2, storing the ciphertext, IV, and auth tag in the config. At load time, detect encrypted entries and decrypt them before the application consumes the config.

Use versioned migrations when your configuration schema evolves across releases and existing deployments must be upgraded safely. Each migration defines up and down transforms, and a migrator applies only the migrations between the current and target versions.