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What CloudWatch tells you about a MediaLive channel
AWS Elemental MediaLive sends metric datapoints to CloudWatch every second. CloudWatch groups datapoints by statistic and period, so a metric’s graph depends on both how it is queried and which statistic is selected. This does not mean the CloudWatch console refreshes every second: AWS documents a minimum console refresh rate of 30 seconds for MediaLive metrics.
CloudWatch is the full-history view and the place to build dashboards and metric alarms. The MediaLive console’s Health tab displays a subset of metrics. AWS says that the Health tab is free to view for its supported metrics; CloudWatch console viewing and API retrieval may have charges, so check CloudWatch pricing for your usage.
Choose metric dimensions before building widgets
Dashboard widgets identify a metric by its namespace, name, and dimension pairs. Start with AWS/MediaLive, then select dimensions that identify the channel path you intend to monitor.
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ChannelID: identifies the channel.Pipeline: separates channel pipelines. A standard channel has two pipelines; a single-pipeline channel uses pipeline 0.ActiveInputFailoverLabel: use this when automatic input failover is configured and you want metrics for the active input. Some metrics otherwise reflect both inputs. Do not add this dimension to a channel without automatic input failover; it can leave the widget with no data.OutputGroupName: helps distinguish output-group or destination behavior.AudioDescriptionName: applies to metrics scoped to an audio description.
Dimension availability varies by metric. Match the dimension set to the metric’s documented scope, rather than adding every possible dimension to every widget. Label panels with the channel, pipeline, input or output group they represent so operators can identify the affected path during an incident.
Build a dashboard around operational questions
CloudWatch dashboards support metric widgets and text widgets in a JSON dashboard body. The following panel groupings are recommendations based on AWS’s metric definitions; adapt them to the channel configuration and the signals your team acts on.
1. Is input arriving consistently?
InputVideoFrameRate— Max: shows input frame rate. AWS recommends the Max statistic. A value of zero means input has been received at some point since channel start, but no frames arrived during the current period.ChannelInputErrorSeconds: consider this for applicable RTP Push, SRT, or MediaConnect inputs.NetworkIn: useful as traffic-rate context, not as a pure media-ingest bitrate. It includes traffic beyond media payload.
A zero frame rate and a missing graph are not interchangeable. No datapoints can mean that no input has been received since channel start, or that the selected dimensions do not apply—for example, an active-input failover dimension on a channel that does not use automatic failover. Check channel state, input type, and dimensions before treating an empty graph as evidence of an outage.
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2. Is MediaLive producing outputs?
ActiveOutputs— Minimum: counts outputs being produced and successfully written. Zero means none are being successfully written. Check whether pause-on-input-loss behavior makes that expected for the current state.NetworkOut— Average: offers output traffic context, but includes service traffic beyond media payload.
3. Are frames being replaced or destinations rejecting output?
FillMsec: tracks input frames dropped during the period and replaced with fill frames. A non-zero value can point to unhealthy input. Automatic input failover may keep this metric at zero even when one input has a problem.Output4xxErrorsandOutput5xxErrors— Sum: use these for HTTP output destinations to track destination 4xx and 5xx errors.
Read these signals together. For example, input trouble may show up in frame-rate or fill metrics, while output counts and HTTP error metrics help reveal whether MediaLive is successfully writing to a destination. No single metric establishes the cause of every delivery problem.
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Add relevant PipelinesLocked or active-alert metrics when they apply to the channel configuration and there is an operational response to the signal. Include a text widget or clear panel titles with the channel, pipeline, output group, and time range so responders know which part of the workflow each graph represents.
Select periods for incidents and trends
MediaLive metric data is available for up to 15 months, but the maximum query range depends on the period. AWS documents these ranges:
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| Metric period | Maximum historical range | Useful for |
|---|---|---|
| 1 second | 3 hours | Recent detail, where supported by the widget or query. |
| 5–60 seconds | 360 hours (15 days) | Near-term incident review. |
| 5 minutes | 1,512 hours (63 days) | Multi-week patterns. |
| 1 hour or longer | 455 days (15 months) | Long-range trends. |
Use short periods where recent detail matters and coarser periods for longer-range views. MediaLive supports CloudWatch statistics, but AWS lists metric-specific recommended statistics; use those recommendations where documented. A longer period can make a brief incident harder to see, while a short period limits how far back the graph can reach.
Create metric widgets and dashboard layout
- Open CloudWatch in the channel’s AWS Region. Choose the MediaLive namespace
AWS/MediaLiveand locate the metric you want to graph. - Select the applicable dimensions. Set the channel and pipeline, then add an active-input failover label or output-group name only when it applies to the metric and workflow.
- Choose the statistic and period. Use the metric-specific AWS recommendation where provided—for example, Max for
InputVideoFrameRate, Minimum forActiveOutputs, and Sum for HTTP output error counts. - Add the metric to a dashboard widget. Group widgets by input, output, and pipeline/workflow condition. Give each panel a title that identifies the monitored path.
- Add a text widget for operational context. Record the channel or pipeline identifiers and what the team considers an actionable change. This helps responders interpret a graph without guessing which workflow it belongs to.
- Review the dashboard against expected operating states. Confirm that it shows data for the selected channel and dimensions, and account for initialization, paused states, input loss, and automatic failover.
Metric math can create derived time series for dashboard display. Combine or divide signals only when their dimensions, periods, and missing-data behavior make the resulting quantity meaningful; otherwise the derived series may mislead.
Set alarms without creating noisy alerts
CloudWatch alarms can monitor metric thresholds and send notifications or take actions. MediaLive also emits state-change and alert events through CloudWatch Events, now commonly surfaced through Amazon EventBridge. AWS describes event delivery as best-effort, so use events as a complement to an operational alarm strategy, not as its only signal.
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Choose a threshold from the channel’s baseline
AWS documents metric meanings but does not set universal limits such as a single frame-rate floor or error-count ceiling for every channel. Choose alarm thresholds using the configured input and output expectations, historical normal behavior, the incident duration your operation can tolerate, and the escalation process.
Decide how missing data should behave
Before enabling an alarm, choose how it should treat missing datapoints. A channel that is initializing, paused, stopped, or waiting for input may have an expected transition or no applicable data. Configure the alarm’s missing-data treatment to match those states, or routine changes can generate noisy alerts—or a real failure can be obscured.
Use Workflow Monitor alarm templates when appropriate
MediaLive Workflow Monitor can associate alarm template groups with signal maps. Alarm templates use an existing CloudWatch metric and specify a statistic, comparison operator, threshold, period, and number of datapoints. AWS offers recommended templates as an option, but verify that each template applies to the actual resources and response objectives in your workflow.
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Check metrics in the MediaLive console
The MediaLive console’s Health tab displays some metrics for time ranges from the last hour through the last week. AWS says CloudWatch exposes all MediaLive metrics and historical data, and metrics can also be retrieved through the CLI, REST API, or an SDK. The Health tab is useful for a quick supported-metric view; use CloudWatch for the broader dashboard and history.
A metric namespace card appears in a selected Region only when a channel has been started within the last 15 months. The CloudWatch console’s documented minimum refresh rate for MediaLive metrics is 30 seconds, even though MediaLive sends datapoints every second.
Troubleshoot missing, flat, or alarming graphs
- A widget has no datapoints: check whether the channel has started, whether input has been received since start, whether the metric applies to that input or output, and whether the selected Region and dimensions are correct. Remove
ActiveInputFailoverLabelif automatic input failover is not configured. InputVideoFrameRateis zero: this indicates input was received at some point since channel start but no frames arrived during the current period. Check the input and current channel state rather than interpreting zero as equivalent to missing data.ActiveOutputsis zero: no outputs are currently being produced and successfully written. Check output state and destination, while confirming whether pause-on-input-loss behavior is expected.FillMsecis non-zero: investigate input health and dropped frames. If automatic failover is configured, a healthy active input can mask a failing input in this metric.- HTTP output error counts rise: inspect the destination response and output path. These metrics count HTTP 4xx or 5xx errors; they do not by themselves identify the downstream cause.
NetworkInorNetworkOutdiffers from expected media bitrate: these metrics include other service traffic, so do not treat them as media-only measurements.- An alarm fires during a normal transition: review the alarm’s threshold, period, datapoints, and missing-data treatment against initialization, pause, stop, and wait-for-input behavior.
Cost and operational considerations
AWS states there is no charge to view supported metrics on the MediaLive Health tab. CloudWatch console viewing and API retrieval are addressed separately in CloudWatch pricing; costs depend on the account’s usage pattern, so check the current CloudWatch pricing documentation before expanding dashboard or API use.
For a separate use case—keeping prerecorded video live on a YouTube channel—StreamNeo is a cloud service that loops uploaded videos. It is not a MediaLive monitoring or broadcast-workflow dashboard, and it streams to YouTube only. For AWS monitoring, use the CloudWatch metrics and alarms described above.
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