Streamwake + Amazon CloudWatch.
Don't replace Amazon CloudWatch — we pull its metrics and logs as incident evidence, correlate against viewer impact, and emit the remediation back as a CloudWatch metric.
Don't replace Amazon CloudWatch — we pull its metrics and logs as evidence during incident investigation (AWS/MediaLive ActiveAlerts, CloudWatch Logs FilterLogEvents on the channel-events log group, plus the AWS MediaLive + Amazon CloudFront pair the +AWS MediaLive + +CloudFront pages already name), correlate against viewer-impact signals on the same bus, and emit the recommended remediation back as a `streamwake.cloudwatch.remediation.applied` metric on the same CloudWatch account. Same dashboard panel, same alert policy, same AWS-native surface — bi-directional end to end.
Amazon CloudWatch aws-native metrics + logs — getmetricdata + filterlogevents + sts assumerole. Streamwake doesn't replace Amazon CloudWatch— we correlate its signals and drive remediation on the anomalies it already surfaces.
What Amazon CloudWatch owns. What Streamwake runs on top.
Honest framing of the surface the vendor owns and the surface Streamwake runs on top of it. Both layers run together in production — same signal bus, different obligations.
Metrics + Logs + Alarms + Dashboards
Cross-service signal + STS AssumeRole
Detect → Classify → Pull evidence + bi-directional sync
CloudwatchCorrelationsPanel on the incident detail
An incident closed
before your viewers notice.
Four steps from a Amazon CloudWatchanomaly to a closed incident with a typed postmortem. Read top to bottom — the loop is closed end to end.
- 1
Save the CloudWatch source
Per-user CloudwatchSource row holds the AWS region, the metric namespace + metric name (or log group + filter pattern), and the credentials posture — a static accessKeyId + secretAccessKey pair (the minimum IAM setup) OR an IAM roleArn the SigV4 helper assumes via sts:AssumeRole. The recommended posture is the role + no static secret on disk; the form accepts either.
- 2
Pull evidence during an incident
The CloudwatchCorrelationsPanel on /app/incidents/[id] calls `/api/v1/cloudwatch-evidence/collect` with the active incidentId; the route signs one GetMetricData call (or FilterLogEvents call) against `monitoring.<region>.amazonaws.com` (or `logs.<region>.amazonaws.com`) using the SigV4 helper, persists the matching CloudwatchEvidence row(s), and advances the source's lastVerifiedAt on 2xx.
- 3
Correlate + streaming-classify
The agent joins the captured CloudWatch evidence against the CDN, encoder, and DRM signals on the same bus, then ranks root cause with a typed confidence score (aws_medialive_active_alerts_vs_origin_classification vs cloudwatch_logs_filter_skew vs cloudfront_cache_miss_latency_fan_out_vs_classification vs cloudwatch_metric_vs_classification_skew) — so a CloudWatch-side signal is never collapsed with a streaming-side regression that started the same window into one symptom.
- 4
Run the fix + emit back to CloudWatch
The agent picks the smallest safe remediation — retune the AWS MediaLive encoder profile, retune the regional CloudFront PoP routing, re-anchor a CloudWatch Alarm threshold, re-issue a CloudWatch Logs FilterLogEvents filter, etc. — verifies recovery, AND emits the same remediation as `streamwake.cloudwatch.remediation.applied` on the same CloudWatch namespace so the same Dashboard panel the operator already renders re-renders the loop-closure metric the moment the fix lands.
Four failure modes Amazon CloudWatch alerts alone miss.
Each one is something the Amazon CloudWatchsignal exposes but the agent loop names and acts on — so a chart becomes a closed incident rather than a triage queue.
Aws Medialive Active Alerts Drift
AWS/MediaLive ActiveAlerts climbs above the per-channel baseline while the same window shows no CloudFront-side cache-miss latency fan-out — the origin-side regression is loud, but a CloudWatch-only reader pins it to the encoder alone. Streamwake catches the ActiveAlerts drift on the same bus AND the matching AWS MediaLive encoder-profile drift on the origin side, joins it against the CloudFront-edge-state-vs-origin-state signals, and classifies it as `aws_medialive_active_alerts_vs_origin_classification` with the typed confidence pinned to the underlying MediaLive encoder-profile regression — never collapsed into the CloudFront-side chart.
Cloudwatch Logs Filter Skew
A CloudWatch Logs FilterLogEvents filter that mis-matches the routing-discipline contract — e.g. it picks up `AWS-API-Error` events but ignores the matching `ChannelStateChange` events, or the filter pattern is left empty after an LCS re-publish — so the matching log groups return a stale view of the channel-state stream. CloudWatch shows the LHS chart; Streamwake catches the filter-vs-channel-state-skew on the same bus, surfaces the FilterLogEvents-vs-routing-contract hypothesis, and rewrites the filter to the next-routing-contract revision before the second wave of channel-state skew hits.
Cloudfront Cache Miss Latency Fan Out
CloudFront `CacheMiss` latency p95 climbs on a regional edge PoP while the same window shows AWS/MediaLive channel-state noise on the origin — the viewer-side symptom looks CDN-side-only, but the same chart catches a paired AWS-side origin-shield miss. CloudWatch surfaces the per-region skew; Streamwake catches the CloudFront-side skew AND the AWS MediaLive channel-state-flip-vs-origin-shield-miss on the origin side, joins them as one typed classification, and routes the small safe remediation away from the affected PoP without collapsing the two charts into one symptom.
Metric-vs-classification Skew
A CloudWatch metric (or Logs event) that the agent classifies with too low or too high a confidence — too high and the operator pages on a chart that has not yet broken; too low and the same chart trips a different CloudWatch Alarm the operator has silenced. CloudWatch reads the metric; Streamwake catches the metric-vs-real-skew on the same bus and re-anchors the confidence curve to the current metric-vs-classification burn-rate so the next metric lands in lockstep with the Alarm the operator already wired and the same CloudWatch dashboard panel re-renders the classification the moment the fix lands as `streamwake.cloudwatch.remediation.applied`.
Monitor your AWS CloudWatch pipeline free.
Next to Amazon CloudWatch.
Paste your MediaLive output URL or CloudFront playback URL — /stream-check runs the same five checks (manifest, segments, bitrate ladder, CDN response, playback errors) in under a minute. No login. Pair it with the Book-a-demo block below for a guided walkthrough of the AWS-side + CloudFront-side evidence correlation probe lane on your CloudWatch account.
AWS/MediaLive ActiveAlerts correlated against CDN cache-miss latency.
aws.medialive.active_alerts drifted to 14 vs 0 baseline on iad-cmh — paired against Amazon CloudFront cloudfront.cache_miss_latency_p95_ms at 2,184 ms vs 812 ms baseline.
The agent classified the joint AWS-side + CloudFront-side symptom as encoder_alert_active_with_cdn_cache_miss_latency_fan_out at 91% confidence, emitted a paired AWS MediaLive retune + a CloudFront PoP reroute, and emitted the remediation back as streamwake.cloudwatch.remediation.applied on the same CloudWatch namespace — so the same dashboard panel that flagged the ActiveAlerts drift re-renders the loop-closure metric the moment the fix lands.
Direct mapping to the Streamwake detect → classify → fix loop on the CloudWatch signal bus — the same AWS/MediaLive ActiveAlerts drift AND the matching CloudFront cache-miss latency fan-out the page pins to are the signals the CloudwatchCorrelationsPanel renders under the ranked hypothesis list on /app/incidents/[id], and the typed remediation lands back in CloudWatch as a new metric the operator can immediately re-scrape or alert on.
Book a 20-minute walkthrough on your AWS CloudWatch account.
We're happy to walk through how the AWS/MediaLive ActiveAlerts drift, CloudFront cache-miss latency fan-out, CloudWatch Logs FilterLogEvents, and sts:AssumeRolecredential posture map onto your existing AWS account. Drop your details below and we'll follow up within 1 business day.