Fastly ships the global edge.
Streamwake ships the loop that closes the multi-CDN incident.
Streamwake vs. Fastly.
Different layers, not different scores.
Fastly ships the edge; Streamwake ships the agent that closes the multi-CDN incident on top of the signal bus Fastly already surfaces.
Fastly cdn + compute@edge + edge security (vcl, instant purge, rt logs). Streamwake doesn't replace Fastly — 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.
Edge delivery / cache
→ Class-prioritized detect on the same surface
Fastly: VCL-driven edge programming, instant purge, and the anycast PoP fabric deliver and cache content at the edge at category-leading speed.
Streamwake reads the RT log + instant-purge lag and classifies a Fastly PoP brown-out as a typed incident before viewer QoE crosses threshold.
Edge compute
→ Stale-bundle detection at the source
Fastly: Compute@Edge (Wasm + JS) bundles run inside the same PoP fabric with low-latency request customization and lifecycle hooks.
Streamwake catches a Compute@Edge bundle pinned to an old version after a publish — typed, ranked, surfaced on the same incident bus as the rest.
Edge security
→ Classified false-positive + DTIM misconfig catch
Fastly: DDoS, WAF, edge auth, and rate-limit on the Fastly backbone keep attack traffic above the cache.
Streamwake classifies a WAF-rule false-positive burst and the DTIM misconfig that ate legitimate traffic — and feeds that read back to the loop.
Multi-CDN brown-out detection
→ Vendor-neutral correlation across the bus
Fastly: knows only its own edge. A multi-CDN topology where Fastly + CloudFront + Akamai absorb one another is invisible by design.
Streamwake vendors across Fastly + CloudFront + Akamai + Limelight on the same signal bus and joins them into one typed, ranked incident.
Surface the signal
→ Governed remediation, blast-radius scoped
Fastly: surfaces the signals — RT logs, Compute@Edge bundle lifecycle, instant-purge telemetry — and the team runs the playbook.
Streamwake closes the loop with the smallest safe remediation (reroute egress, re-issue VCL bundle + instant purge, quarantine a node) — auditable, dry-run-capable, scope-limited.
Cache status goes green
→ Provable viewer-level recovery verification
Fastly: the cache status code goes green. That tells you the edge returned a hit, not that the viewer recovered.
Streamwake: incident closes only when viewer QoE recovers end-to-end across every CDN in the topology, citing the Fastly signal that fired it.
Same signals.
Different obligation.
Fastly 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 Fastly + Streamwake rollout — write to us.
Prove multi-CDN recovery —
with Streamwake on the Fastly signal bus.
Streamwake joins the Fastly RT log stream + Compute@Edge bundle lifecycle + VCL compilation skew + instant-purge telemetry on the read side. When a Fastly PoP browns out or a Compute@Edge bundle pins to an old version after publish, the agent catches it, classifies it, picks the smallest safe remediation, and verifies recovery at the viewer before the incident closes. Different layer, same Fastly edge + Compute@Edge.