Atlas operations

Use implementation-specific procedures from the selected release. This page defines the operational outcomes those procedures should verify.

Readiness review

Check the signal path as a service:

• expected source coverage for the defined scope;
• collection acceptance and rejection rates;
• end-to-end freshness and clock alignment;
• processing errors and version consistency;
• capacity headroom and back-pressure behavior;
• access and export health;
• alert evaluation and delivery-path health where configured; and
• retention, deletion, backup, and recovery job status where applicable.

Do not infer source health from the absence of errors at the access boundary.

Change preflight

Before changing a schema, source, processor, retention rule, alert condition, or access policy, identify affected consumers and decisions. Test the change against representative sanitized data, define compatibility behavior, confirm capacity, establish a safe stop before destructive deletion or migration, and prepare independent quality verification.

Alert lifecycle

Every operational alert needs an owner, purpose, source scope, observation window, severity meaning, routing decision, safe investigation path, closure condition, and review cadence. Test the end-to-end route without placing real customer or credential data in the test signal. An alert that cannot reach an authorized decision owner is not operationally ready.

Retention and recovery

Retention follows purpose, classification, legal or contractual needs, cost, and recovery objectives. A longer duration increases exposure and does not automatically improve observability. If observations are required for recovery or regulated evidence, test backup integrity, restoration, access control, and post-restore interpretation; otherwise document why regeneration or loss is acceptable in the private decision record.

Close changes with quality evidence

Verify source coverage, freshness, processing, access, and alert paths after a change. Retain the version identities and redacted quality result without publishing real labels, queries, thresholds, or topology.

See Troubleshooting when an observation is missing or misleading.