Multi-tenant platforms on the Mux, Cloudflare, Akamai, or Fastly edge,
wrapped in the agent on top.
The Streamwake reliability loop applied to the four failure modes a multi-tenant streaming platform inherits on the edge it is already running on — per-tenant origin affinity drift when one tenant goes viral, cross-CDN failover brownouts on Mux origin / Cloudflare anycast / Akamai SureRoute / Fastly VCL, SLA-budget alarm fatigue when the NOC pages per paying tenant, and edge-config drift across providers. Streamwake is the reliability wrapper above the platform's edge infra, not a replacement for it.
Four failure modes
a multi-tenant platform inherits.
The same multi-tenant catalog that makes a streaming platform the highest-stakes delivery surface also concentrates failures on the edge that platform already pays Mux, Cloudflare, Akamai, or Fastly to run. Four of them show up on every paying-tenant cohort — and each one has a known playbook the Streamwake agent owns.
Detect. Classify. Fix. Verify. Report.
The same five-act loop the Streamwake reliability agent runs on every cohort, tuned for the four pain points above — and the multi-tenant catalog + paying-tenant cohort + edge-on-Mux-Cloudflare-Akamai-Fastly surface they all hit at the same minute.
Redistribute per-tenant egress separately the moment one viral tenant skews the other 300, orchestrate the cross-CDN failover with a next-best-edge prewarm the moment Mux / Cloudflare / Akamai / Fastly hot-fails-over, scope NOC alarms to the SLA-defending tenant cohort the moment the SLA-budget burn rate climbs, pin the cohort route to the known-good edge config the moment a property-manager / VCL / per-PoP / origin manifest drift surfaces — and write up the postmortem in Slack and Linear before the paying-tenant cohort notices.
How the loop runs on your multi-tenant cohort.
Each use case shows what the agent sees, how it ranks the hypotheses, what the fix branch looks like, how the recovery is verified, and where the write-up lands — followed by the postmortem that proves it ran in production on a multi-tenant streaming platform and the +X integration pages whose infra the agent is wrapping on top of.
What the agent does on a weekday afternoon when one tenant in a multi-tenant platform goes viral and the per-tenant origin / CDN affinity skews while the cohort on the remaining 300 tenants is silently degraded by the fan-out.
- DetectPer-tenant egress skew + per-tenant parse-stall
The per-tenant probe pattern joins QoE buffer events to per-tenant egress state across the catalog and reads a 10% parse-stall on the viral tenant while the cohort on the remaining 300 tenants shows a silent 4% degradation; the cohort median hides both until the per-tenant lane flag fires.
- Classifymulti_tenant_origin_affinity_skew at 91%
Top hypothesis: multi_tenant_origin_affinity_skew; the cross_cdn_failover_brownout and edge_config_drift_multi_provider lanes are ruled out from the per-tenant probe result, and the scope is the viral-tenant cohort, not the catalog cohort.
- FixRedistribute tenant egress separately + pin the viral tenant
Redistribute tenant egress separately on the affected origin so the viral tenant's skew does not bleed into the remaining 300 tenants; pin the viral-tenant cohort to a per-tenant recovery bucket and leave the cohort on the remaining 300 tenants on the catalog anchor.
- VerifyPer-tenant egress returns to baseline for affected cohort only
A re-read of the per-tenant egress probe confirms the affected viral-tenant cohort has snapped back to the per-tenant baseline; the remaining 300 tenants stay on the catalog anchor, no catalog-wide reset.
- ReportPostmortem in Slack + Linear
Structured write-up with the per-tenant egress skew chart, the origin affinity split, and the agentic-act split lands in the channel with the viral-tenant cohort flagged as the scope of the fix and the remaining catalog untouched.
What the agent does when Mux origin or Cloudflare anycast POP or Akamai SureRoute or Fastly VCL hot-fails-over and the cohort sees a 20–40s buffer cliff on the failover-warm-up edge before session-stable.
- DetectCross-CDN failover detection + buffer cliff signal
A cross-CDN probe pattern reads the failover signal on Mux origin / Cloudflare anycast / Akamai SureRoute / Fastly VCL at the same moment the cohort on the failover-warm-up edge climbs to a 28–40s buffer cliff; the warm-edge cohort is unaffected, so the failure scopes to the failover-warm-up edge only.
- Classifycross_cdn_failover_brownout at 90%
Top hypothesis: cross_cdn_failover_brownout; the multi_tenant_origin_affinity_skew and edge_config_drift_multi_provider lanes are ruled out from the cross-CDN probe result, and the scope is per-provider (i.e. which of Mux origin / Cloudflare anycast / Akamai SureRoute / Fastly VCL has the failover-warm-up edge).
- FixOrchestrate failover + prewarm next-best edge + pin cohort
Orchestrate the failover with a prewarm of the next-best edge (e.g. Fastly VCL warmup when Akamai SureRoute fails over) and pin the cohort to the failover-warm-up edge until session-stable; do not reset the warm edges.
- VerifyCohort median on the warm edge matches the previous median
A cohort-aligned probe on the warm-edge side of the failover confirms the cohort median matches the previous median; the failover-warm-up edge buffer cliff rate has dropped to the warm-edge baseline before the next prime-time window opens.
- ReportPostmortem in Slack + Linear
Structured write-up with the cross-CDN failover envelope, the next-best-edge prewarm diff, and the agentic-act split lands in the channel with the affected provider (Mux / Cloudflare / Akamai / Fastly) flagged as the scope of the fix.
What the agent does when the platform's viewer-impact SLA — e.g. 99.9% successful starts over a trailing 4-hour window for paying tenants — starts burning and the NOC pages hundreds of times an hour on lanes that do not move the budget.
- DetectSLA-budget burn rate per paying tenant
A per-tenant SLA probe joins QoE start-failure events to the platform's SLA-budget-burn envelope and reads the burn rate climbing on a paying-tenant cohort at the same moment the NOC page lane floods on lanes that do not move the SLA budget.
- Classifysla_burn_alarm_fatigue at 89%
Top hypothesis: sla_burn_alarm_fatigue; the multi_tenant_origin_affinity_skew and cross_cdn_failover_brownout lanes are ruled out from the per-tenant SLA probe, and the scope is the SLA-defending tenant cohort + delivery surface.
- FixScope alarms to tenant cohort + delivery surface
Scope alarms to the SLA-defending tenant cohort + delivery surface (which bundle / ISP / device lane), deprioritize non-SLA tenants in the page lane, and surface only the alarms that actually bite the SLA budget; the noisy single-tenant lanes drop out of the NOC page stream.
- VerifySLA burn flattens and NOC pages drop on scope-fixed lane
A cohort-aligned probe on the SLA-defending tenant cohort confirms the SLA-budget burn rate has flattened; the NOC page count has dropped to the scope-fixed-lane baseline, no SLA-defending cohort reset.
- ReportPostmortem in Slack + Linear
Structured write-up with the SLA-budget burn envelope, the alarm-scope split, and the agentic-act split lands in the channel with the SLA-defending tenant cohort and delivery surface flagged as the scope of the fix.
What the agent does when a property-manager version skew on Akamai, a VCL drift on Fastly, a Cloudflare per-PoP analytics drift, or a Mux origin / encoder manifest drift surfaces on the multi-tenant cohort's edge.
- DetectPer-CDN config drift on the affected cohort's edge
A per-CDN config-drift probe pattern reads the affected cohort's edge (Akamai property-manager version skew OR Fastly VCL drift OR Cloudflare per-PoP analytics drift OR Mux origin manifest drift) while the cohort on the unaffected edges stays green; the failure scopes per-provider, not per-tenant.
- Classifyedge_config_drift_multi_provider at 88%
Top hypothesis: edge_config_drift_multi_provider; the multi_tenant_origin_affinity_skew and cross_cdn_failover_brownout lanes are ruled out from the per-CDN probe result, and the scope is the affected edge (e.g. Akamai property-manager skew on tenant-X's edge only).
- FixPin cohort route to known-good edge config + snapshot
Pin the affected cohort route to the known-good edge config (the prior Akamai property-manager revision OR the prior Fastly VCL OR the prior Cloudflare per-PoP analytics OR the prior Mux origin manifest) and snapshot the affected edge for a structured write-up; do not propagate the drift across the multi-tenant catalog.
- VerifyPer-CDN drift returns to baseline on known-good edge only
A per-CDN probe on the known-good edge side of the cohort confirms the config-drift envelope has returned to baseline on the affected edge only; the cohort on the unaffected edges keeps moving on the multi-tenant catalog anchor.
- ReportPostmortem in Slack + Linear
Structured write-up with the per-CDN config-drift diff (Akamai property-manager / Fastly VCL / Cloudflare / Mux), the edge-snapshot, and the agentic-act split lands in the channel with the affected provider edge flagged as the scope of the fix.
Medians across the current Streamwake cohort, refreshed on the quarterly streaming-reliability benchmark — the relationship to multi-tenant detection holds at the per-tenant-cohort scale operators see on Mux / Cloudflare / Akamai / Fastly, with the largest effects seen in fix-branch selection that pins scope to the affected tenant cohort + edge and leaves the rest of the catalog anchor untouched.
Fewer 3 a.m. pages.
A team that sleeps.
Streamwake is in early access for streaming platforms — multi-tenant video catalogs and agency / channel aggregators running on Mux, Cloudflare, Akamai, or Fastly. Run the Free Stream Check on any production tenant cohort, or pull up the ROI calculator to model your per-tenant-cohort incident load and MTTR curve — or bring Streamwake's field engineering team in for hands-on support scoping the wrapper above the platform's own edge.