Cloudflare Stream ships the global anycast edge.
Streamwake ships the loop that closes the brown-out.
Streamwake vs. Cloudflare Stream.
Different layers, not different scores.
Cloudflare Stream ships the global anycast edge; Streamwake ships the agent loop that catches what Cloudflare Stream's signal bus already surfaces.
Cloudflare Stream managed video pipeline (ingest, transcode, storage, delivery) on the global anycast edge. Streamwake doesn't replace Cloudflare Stream — we add the detection → classification → remediation → postmortem loop on top of the signals it already produces.
Two different layers, end to end.
Honest framing of what the other tool does well, and where Streamwake compounds on top. Both layers run together in production.
Six rows,
same loop, different layer.
Read top to bottom — the left column is what a traditional monitoring / analytics platform does today; the right column is what happens when Streamwake is sitting on top of it.
Monitor
→ Monitor
Both watch the same signals — QoE, encoder health, CDN egress, DRM handshake latencies.
Same signals, same event bus. Nothing changes here on day one.
Alert
→ Detect
Threshold trips fire alerts and a human triages them. Anomalies arrive as a flat list.
Every anomaly is prioritized by class — encoding regression, manifest drift, edge brown-out, DRM handshake — so the noise is structured before it ever reaches a human.
Dashboard
→ Correlate
Charts group events by source for an operator to read between the lines.
The agent joins the signal across encode, edge, and DRM into a single incident — so the chart and the cause tell the same story.
Engineer investigates
→ Agent classifies
A human investigates the chart, names the failure, and decides what to do.
The agent names the failure mode itself, checks whether it is safe to act, and returns a typed next-action rather than a partial chart.
Engineer remediates
→ Agent can remediate
A human writes the playbook, runs it, and watches the recovery by eye.
The agent picks the smallest safe remediation — reroute egress, roll a flag, re-package the title, quarantine a node — and verifies recovery before closing out.
Engineer writes postmortem
→ Automatic postmortem
A human hand-writes the post-incident writeup when the dust settles.
A structured postmortem — what happened, what was tried, what changed — lands in Slack, Linear, or PagerDuty the moment the incident closes.
Same signals.
Different obligation.
Cloudflare Stream does monitoring and analytics well. Streamwake doesn't replace that — it adds the detection → classification → remediation → postmortem loop on top of the same signal bus.
The left column ends with a chart and an alert. The right column ends with the incident closed and a writeup in the team's inbox. That's the whole difference — and it doesn't ask you to throw away anything you already run.
Telemetry + analytics
Detect · classify · fix · write it up
Incident closed, not a chart
Questions teams ask
before adding another layer.
Anything specific to your Cloudflare Stream + Streamwake rollout — write to us.
Run Streamwake on top of
Cloudflare Stream.
Streamwake joins the Cloudflare Stream signal bus on the read side — a single REST POST surfaces the live webhook, the per-PoP analytics, the request / storage quota counters, and the signed-token recency, and the agents run the loop on top. Cloudflare Stream's ingest / transcode / player surface stays untouched; we close the incident that lives in the signals it already emits.