# Monitors

- [Monitors](https://docs.datadoghq.com/monitors.md): Create monitors, configure notifications and automations, and manage your monitors using the alerting platform
- [Configure Monitors](https://docs.datadoghq.com/monitors/configuration.md): Learn how to configure and customize monitors using the monitor creation page in Datadog.
- [Downtimes](https://docs.datadoghq.com/monitors/downtimes.md): Schedule downtimes for your Datadog monitors to prevent alerts during specific time periods
- [Draft Monitors](https://docs.datadoghq.com/monitors/draft.md): Create, test, and refine monitor alerts safely without triggering notifications using Draft Monitors.
- [Monitor List](https://docs.datadoghq.com/monitors/manage.md): Send notifications to your teams when monitors trigger alerts
- [Notifications](https://docs.datadoghq.com/monitors/notify.md): Send notifications to your teams when monitors trigger alerts
- [Monitor Quality](https://docs.datadoghq.com/monitors/quality.md): Identify and fix common monitor misconfigurations including high alert volumes, missing recipients, and stuck alert states.
- [Monitor Settings](https://docs.datadoghq.com/monitors/settings.md): Configure organization settings, tag policies, notification rules, and manage deleted monitors through the Monitor Settings page.
- [Monitor Status](https://docs.datadoghq.com/monitors/status.md): Monitor status page overview providing insights into individual monitor evaluations and current states.
- [Monitor Templates](https://docs.datadoghq.com/monitors/templates.md): Use pre-configured monitor templates from Datadog and integration partners to quickly set up comprehensive monitoring coverage.
- [Monitor Types](https://docs.datadoghq.com/monitors/types.md): Monitor Types

## Downtimes

- [Examples](https://docs.datadoghq.com/monitors/downtimes/examples.md): Learn how to configure Datadog downtimes for common use cases including weekend schedules, business hours, and advanced maintenance using RRULE patterns.

## Monitor Guides

- [Add a Minimum Request Threshold for Error Rate Alerts](https://docs.datadoghq.com/monitors/guide/add-a-minimum-request-threshold-for-error-rate-alerts.md): Learn to set minimum request thresholds for error rate monitors using Boolean functions to reduce false alarms during low-traffic periods.
- [Adjusting No Data alerts for metric Monitors](https://docs.datadoghq.com/monitors/guide/adjusting-no-data-alerts-for-metric-monitors.md): Configure No Data alerts properly for metrics with irregular reporting patterns, delays, or backfilled data from cloud integrations.
- [Alert aggregation](https://docs.datadoghq.com/monitors/guide/alert_aggregation.md): Learn about simple and multi alert aggregation strategies to manage alert noise and ensure actionable notifications for your monitoring system.
- [Alert on No Change in value](https://docs.datadoghq.com/monitors/guide/alert-on-no-change-in-value.md): Configure metric monitors to trigger alerts when values remain unchanged over time using diff() and abs() functions.
- [Anomaly Monitors](https://docs.datadoghq.com/monitors/guide/anomaly-monitor.md): Frequently asked questions about anomaly detection monitors including algorithms, historical data, and troubleshooting common issues.
- [as_count() in Monitor Evaluations](https://docs.datadoghq.com/monitors/guide/as-count-in-monitor-evaluations.md): Understanding how as_count() and as_rate() modifiers affect monitor evaluations and the order of operations in different evaluation paths.
- [Best Practices for Live Process Monitoring](https://docs.datadoghq.com/monitors/guide/best-practices-for-live-process-monitoring.md): Best practices for creating reliable live process monitors including proper scoping, time frame selection, and avoiding false positives.
- [Clean up monitor clutter](https://docs.datadoghq.com/monitors/guide/clean_up_monitor_clutter.md): Learn how to identify and clean up monitor clutter by analyzing monitor usage patterns, identifying unused or redundant monitors, and implementing best practices for monitor management to improve alert quality and reduce noise.
- [Composite Monitor Use Cases](https://docs.datadoghq.com/monitors/guide/composite_use_cases.md): Common use cases for composite monitors including error rates, frequent metrics monitoring, step monitoring, and notification delays.
- [Create cluster alerts to notify when a percentage of groups are in critical state](https://docs.datadoghq.com/monitors/guide/create-cluster-alert.md): Learn to create cluster alerts that notify when a percentage of groups meet conditions, like alerting when 40% of hosts have high CPU usage.
- [Customize monitor evaluation frequencies](https://docs.datadoghq.com/monitors/guide/custom_schedules.md): Configure custom monitor schedules with daily, weekly, or monthly intervals for critical jobs using RRULE patterns for advanced scheduling.
- [Export Monitor Alerts to CSV](https://docs.datadoghq.com/monitors/guide/export-monitor-alerts-to-csv.md): Download monitor alert history as CSV files through hourly monitor data for the past 6 months (Datadog US site only).
- [Gating your GitHub Actions Deployments with Datadog Monitors](https://docs.datadoghq.com/monitors/guide/github_gating.md): Learn how to use Datadog monitors to perform quality checks prior to deploying your GitHub applications.
- [Monitor History and Evaluation Graphs](https://docs.datadoghq.com/monitors/guide/history_and_evaluation_graphs.md): Understand the difference between History and Evaluation graphs on monitor status pages and how to troubleshoot evaluation values.
- [How to set up RBAC for Monitors](https://docs.datadoghq.com/monitors/guide/how-to-set-up-rbac-for-monitors.md): Configure Role-Based Access Control (RBAC) for monitors to restrict editing permissions to specific roles and prevent unauthorized changes.
- [How to update an anomaly detection monitor to account for local time zone](https://docs.datadoghq.com/monitors/guide/how-to-update-anomaly-monitor-timezone.md): Configure anomaly detection monitors to account for local time zones and daylight saving time to prevent false alerts from local activity patterns.
- [Integrating Monitors With Statuspage](https://docs.datadoghq.com/monitors/guide/integrate-monitors-with-statuspage.md): Learn how to integrate Datadog monitors with Atlassian Statuspage.
- [Monitor aggregators](https://docs.datadoghq.com/monitors/guide/monitor_aggregators.md): Learn how monitor aggregation methods (average, maximum, minimum, sum) affect alert behavior with examples and visual comparisons.
- [Monitor API Options](https://docs.datadoghq.com/monitors/guide/monitor_api_options.md): Comprehensive reference for monitor API configuration options including common settings, permissions, anomaly alerts, and metric alerts.
- [Monitor Best Practices](https://docs.datadoghq.com/monitors/guide/monitor_best_practices.md): Learn best practices for creating effective monitors including clear titles, multi-alerts, context, and using Monitor Quality for optimization.
- [Monitor Arithmetic and Sparse Metrics](https://docs.datadoghq.com/monitors/guide/monitor-arithmetic-and-sparse-metrics.md): Handle arithmetic operations and sparse metrics in monitors using fill() functions and evaluation adjustments to prevent skipped evaluations.
- [Monitor ephemeral servers for reboots](https://docs.datadoghq.com/monitors/guide/monitor-ephemeral-servers-for-reboots.md): Monitor ephemeral servers for reboots using the system.uptime metric with the diff() function to distinguish new hosts from rebooted hosts.
- [Monitoring Ranges](https://docs.datadoghq.com/monitors/guide/monitor-for-value-within-a-range.md): Create monitors that alert when metric values fall inside or outside a specified range using mathematical formulas with absolute values.
- [Monitoring Available Disk Space](https://docs.datadoghq.com/monitors/guide/monitoring-available-disk-space.md): Step-by-step guide to create monitors for available disk space that alert when free disk space falls below a specified percentage threshold.
- [Monitoring Sparse Metrics](https://docs.datadoghq.com/monitors/guide/monitoring-sparse-metrics.md): Configure monitors for sparse or infrequent metrics using interpolation, evaluation delays, and appropriate settings to avoid unexpected results.
- [How to monitor non-static thresholds](https://docs.datadoghq.com/monitors/guide/non_static_thresholds.md): Monitor variable thresholds using seasonal patterns, reference metrics, and composite monitors for dynamic alerting scenarios.
- [Notification Message Best Practices](https://docs.datadoghq.com/monitors/guide/notification-message-best-practices.md): Best practices for writing clear, actionable monitor notification messages with variables, conditional logic, and structured templates.
- [Migrating to On Missing Data Configuration](https://docs.datadoghq.com/monitors/guide/on_missing_data.md): Migrate from legacy No Data configurations to On Missing Data options for better handling of missing data in metric monitors.
- [Prevent alerts from Monitors that were in downtime](https://docs.datadoghq.com/monitors/guide/prevent-alerts-from-monitors-that-were-in-downtime.md): Understand monitor behavior during downtimes and how to prevent recovery notifications when downtime ends or is cancelled.
- [Recovery thresholds](https://docs.datadoghq.com/monitors/guide/recovery-thresholds.md): Configure recovery thresholds to add conditions for monitor recovery from alert states and reduce alert flapping noise.
- [Reduce alert flapping](https://docs.datadoghq.com/monitors/guide/reduce-alert-flapping.md): Strategies to reduce alert flapping using threshold adjustments, functions, composite monitors, and anomaly/outlier detection.
- [Scoping Downtime](https://docs.datadoghq.com/monitors/guide/scoping_downtimes.md): Learn how to properly scope downtimes to target specific monitors and groups using monitor tags, group scopes, and granular filtering.
- [Set up an alert for when a specific tag stops reporting](https://docs.datadoghq.com/monitors/guide/set-up-an-alert-for-when-a-specific-tag-stops-reporting.md): Create monitors that alert when specific tags disappear from your systems using impossible thresholds and missing data notifications.
- [Template Variable Evaluation](https://docs.datadoghq.com/monitors/guide/template-variable-evaluation.md): Modify template variable output in monitor notifications using mathematical operations, functions, and string manipulation with eval syntax.
- [Troubleshooting Monitor Alerts](https://docs.datadoghq.com/monitors/guide/troubleshooting-monitor-alerts.md): Troubleshoot common monitor alerting issues including state mismatches, data verification, alert conditions, and notification problems.
- [Troubleshooting No Data in Monitors](https://docs.datadoghq.com/monitors/guide/troubleshooting-no-data.md): Learn how to diagnose and resolve No Data issues in monitor evaluations
- [Monitor settings changes not taking effect](https://docs.datadoghq.com/monitors/guide/why-did-my-monitor-settings-change-not-take-effect.md): Understand why monitor group changes may not take immediate effect due to group persistence and aging behavior.

## Monitor List

- [Check Summary](https://docs.datadoghq.com/monitors/manage/check_summary.md): See the list of all your checks reporting to Datadog.
- [Search Monitors](https://docs.datadoghq.com/monitors/manage/search.md): Filter the monitor list by using the faceted search

## Monitor Status

- [Status Events](https://docs.datadoghq.com/monitors/status/events.md): View and manage monitor events on the status page including quick actions, event details, and troubleshooting tools.
- [Status Graphs](https://docs.datadoghq.com/monitors/status/graphs.md): Understand monitor status page graphs including evaluated data, source data, and transitions to analyze monitor behavior.
- [Monitor Status Page (Legacy)](https://docs.datadoghq.com/monitors/status/status_legacy.md): Get an overview of your monitor status over time
- [Monitor Status Page](https://docs.datadoghq.com/monitors/status/status_page.md): Get an overview of your monitor status over time

## Monitor Types

- [Analysis Monitor](https://docs.datadoghq.com/monitors/types/analysis.md): Alert on advanced log analysis with Analysis monitors that support querying multiple data sources, chaining data transformations, and running complex SQL queries.
- [Anomaly Monitor](https://docs.datadoghq.com/monitors/types/anomaly.md): Detects anomalous behavior for a metric based on historical data
- [APM Monitor](https://docs.datadoghq.com/monitors/types/apm.md): Compare an APM metric to a user defined threshold
- [Audit Trail Monitor](https://docs.datadoghq.com/monitors/types/audit_trail.md): Alert when a specified type of audit trail event is detected or exceeds a threshold.
- [Change Alert Monitor](https://docs.datadoghq.com/monitors/types/change-alert.md): Create change alert monitors to detect significant changes in metrics over time using absolute or percentage change thresholds.
- [CI/CD & Test Monitor](https://docs.datadoghq.com/monitors/types/ci.md): Monitor CI pipelines, tests, and CD deployments with alerts on failures, performance regressions, and code coverage metrics.
- [Cloud Cost Monitor](https://docs.datadoghq.com/monitors/types/cloud_cost.md): Monitor cost changes, thresholds, forecasts, and anomalies in your cloud costs.
- [Cloud Networking Monitor](https://docs.datadoghq.com/monitors/types/cloud_network_monitoring.md): Monitor network traffic and performance between services using Cloud Network Monitoring with alerts on throughput, latency, and failures.
- [Composite Monitor](https://docs.datadoghq.com/monitors/types/composite.md): Alert on an expression combining multiple monitors
- [Service Check Monitor](https://docs.datadoghq.com/monitors/types/custom_check.md): Monitor status of arbitrary service checks.
- [Data Observability Monitor](https://docs.datadoghq.com/monitors/types/data_observability.md): Monitor freshness, row count, column-level metrics, and custom SQL queries across your data warehouses.
- [Database Monitoring Monitor](https://docs.datadoghq.com/monitors/types/database_monitoring.md): Create Database Monitoring monitors to alert on query performance, waiting queries, and significant changes in explain-plan cost.
- [Error Tracking Monitor](https://docs.datadoghq.com/monitors/types/error_tracking.md): Learn about the Error Tracking monitor type.
- [Event Monitor](https://docs.datadoghq.com/monitors/types/event.md): Monitor events gathered by Datadog
- [Forecasts Monitor](https://docs.datadoghq.com/monitors/types/forecasts.md): Predict future metric trends using linear and seasonal algorithms to alert before issues occur, such as disk space running out.
- [Host Monitor](https://docs.datadoghq.com/monitors/types/host.md): Check if one or more hosts are reporting to Datadog
- [Integration Monitor](https://docs.datadoghq.com/monitors/types/integration.md): Monitor metric values or health status from a specific integration
- [Log Monitor](https://docs.datadoghq.com/monitors/types/log.md): Monitor indexed logs to detect security threats, troubleshoot issues, and alert when log patterns exceed defined thresholds.
- [Metric Monitor](https://docs.datadoghq.com/monitors/types/metric.md): Compare values of a metric with a user defined threshold
- [NetFlow Monitor](https://docs.datadoghq.com/monitors/types/netflow.md): Monitor network traffic flows on routers, switches, and firewalls to alert on throughput and congestion using NetFlow data.
- [Network Path Monitor](https://docs.datadoghq.com/monitors/types/network_path.md): Monitor network traffic flow to a destination and alert on round trip time, packet loss, and jitter using Network Path data.
- [Network Monitor](https://docs.datadoghq.com/monitors/types/network.md): Check the status of TCP/HTTP endpoints.
- [Outlier Monitor](https://docs.datadoghq.com/monitors/types/outlier.md): Alert on members of a group behaving differently than the others
- [Process Check Monitor](https://docs.datadoghq.com/monitors/types/process_check.md): Check if a process is running on a host
- [Live Process Monitor](https://docs.datadoghq.com/monitors/types/process.md): Check if a process is running on a host
- [Real User Monitoring Monitor](https://docs.datadoghq.com/monitors/types/real_user_monitoring.md): Monitor real user performance and errors across web and mobile applications using RUM data to improve customer experience.
- [Service Check Monitor](https://docs.datadoghq.com/monitors/types/service_check.md): Monitor status of arbitrary service checks.
- [SLO Alerts](https://docs.datadoghq.com/monitors/types/slo.md): Create SLO alerts to monitor error budget consumption and burn rates, ensuring service reliability targets are maintained.
- [Synthetic Monitors](https://docs.datadoghq.com/monitors/types/synthetic_monitoring.md): Create and manage monitors for Synthetic tests to receive notifications when web and API tests fail or perform poorly.
- [Watchdog Monitor](https://docs.datadoghq.com/monitors/types/watchdog.md): Algorithmically detects application and infrastructure issues.

## Notifications

- [Notification Rules](https://docs.datadoghq.com/monitors/notify/notification_rules.md): Automate monitor alert routing using predefined notification rules based on tags and conditions to streamline team notifications.
- [Variables](https://docs.datadoghq.com/monitors/notify/variables.md): Use variables to customize your monitor notifications