> ## Documentation Index
> Fetch the complete documentation index at: https://docs.maia.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Observability overview

export const maia_team = "Maia Team";

export const maia = "Maia";

Observability covers the tools you use to monitor, trace, and audit what happens in {maia}—from individual pipeline runs to the flow of data across your projects. Use these tools to answer questions like "did this pipeline succeed?", "where did this data come from?", and "who changed this setting?".

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## Stay informed about pipeline runs

[Notifications](/docs/guides/pipeline-notifications) alert you when a pipeline run completes or when its duration deviates from historical norms, so you don't need to watch a pipeline to know how it finished. [Billing notifications](/docs/guides/billing-notifications) work the same way for credit consumption, alerting you when usage crosses a threshold you've set.

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## Investigate pipeline runs

[Pipeline run history](/docs/guides/pipeline-run-history) gives you a searchable record of every pipeline execution—manual, scheduled, or API-triggered—so you can check statuses, inspect individual steps, and cancel runs in progress. If a run fails, [Impact stream](/docs/guides/impact-stream) shows you the downstream pipelines and datasets affected by that specific failure, and {maia_team} can help you [troubleshoot the cause](/docs/guides/troubleshoot-pipelines-with-maia-team).

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## Trace data through your pipelines

[Lineage](/docs/guides/data-lineage) gives you a visual map of how data flows through your pipelines—where it came from, how it changed, and where it ended up. Use it for impact analysis, debugging, and audit and compliance.

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## Audit account activity

The [audit service](/docs/guides/audit-service) records actions taken within {maia}, including who performed them and when, so you can review account-level activity for security and compliance purposes.
