Break the stream.
Watch it fix itself.
Pick a streaming incident most ops teams dread — CDN outage, encoder failure, DRM cold start, manifest corruption, regional congestion, device-specific playback bug — and click Inject. Streamwake agents run a scripted detect, classify, and remediate pass in front of you. Eleven seconds. No signup, no API key.
Inject failure · seven-stage recovery
The timeline at right plays the same beat for every incident — the labels are shared, only the per-stage detail changes. Use the picker to switch mid-experiment: the previous run resets cleanly.
An edge PoP drops mid-rush; rerouting kicks in before viewers notice.
- 01+0.0sPendingIncident introduced
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- 02+1.2sPendingAnomaly detected
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- 03+2.4sPendingQoE + CDN correlated
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- 04+3.6sPendingRoot cause classified
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- 05+4.6sPendingRemediation initiated
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- 06+6.8sPendingQoE recovered
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- 07+9.0sPendingPostmortem generated
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Pick the failure mode your stack tolerates.
Each class runs a different first-failure probe, a different fallback ladder, and a different remediation playbook — but the seven-stage frame is identical so a buyer can compare apples to apples.
CDN outage
Routing agent shifts new + resumable sessions to healthy PoPs.
Encoder failure
Cutover to a backup encoder; ladder fallback in 90 seconds.
DRM failure
Shed the token-replay burst; warm additional license shards.
Manifest corruption
Manifest agent rewrites + pins a one-cycle hotfix on the affected channel.
Regional congestion
ABR agent shifts the affected cohort to a -2 rung ladder for that ASN.
Device-specific playback failure
Codec-aware rewrite + transcoder push; QA assertion raised in CI.
Seven beats, same loop every time.
Whether the failure mode is a CDN PoP, a license cold start, or a regional last-mile event, the pipeline reads it through the same seven beats. That is the loop Streamwake ships — not seven point-products bolted together.
- 01Incident introduced
A real failure mode publishes into the telemetry fan-in within the first 200 ms.
- 02Anomaly detected
Reliability agents see the first QoE divergence in <1.2 s of the publish.
- 03QoE + CDN correlated
Rebuffer ratio, segment-fetch latency, decoder clock-drift, and CDN RTT are joined into one timeline.
- 04Root cause classified
Hypotheses are ranked with confidence; the failure mode is labeled before 3.6 s.
- 05Remediation initiated
The agent picks the cheapest fix that resolves the ranked root cause and starts the act.
- 06QoE recovered
Mean rebuffer ratio returns under the 2% target within ~7 s of detection.
- 07Postmortem generated
A self-written postmortem (with the agentic-act split) is filed before 9 s.
Could your current stack
do this automatically?
One channel, $49 — the same recovery playbook your team just watched runs against a live cohort. No demo call required. If we don't beat your current MTTR within 30 days, the next month is free.