Bring the streaming reliability workflow you want to pressure-test.
Tell us the failure scenario, the signal that matters, the source or player evidence available, and the permission boundary we should respect. A human-led review can map the question to Detect → Investigate → Decide → Approve → Act → Verify → Learn when the scenario and evidence support it — no SLA, blanket coverage, or outcome promise.
Three kinds of teams send us the messages.
The form below is for a defined reliability question, not a secret or evidence exchange. A human reviewer will use the details to assess fit, permissions, and the next practical step.
Teams with a defined workflow
A scenario-specific reliability question with an owner and a bounded reference window.
Bring one agreed failure scenario, the person responsible for the workflow, and the evidence boundary you can authorize. Qualification is human-led and stays focused on what the current path can actually review.
Teams with an observable failure signal
A source, player, incident, or recovery signal worth comparing.
Source, player, incident, and recovery evidence can be reviewed only when the named path is configured and authorized. Viewer recovery remains conditional on downstream player or cohort evidence.
Teams ready for a limitations-aware next step
A customer-fit question that can be examined without turning the intake into a promise.
The review covers one agreed scenario, environment, and bounded reference window — not an SLA, universal capability, or customer outcome. We will identify the next human review step and call out what the evidence cannot establish.
Four kinds of messages land here.
If your question fits one of these, the form below is the right lane. Bring one agreed scenario, its evidence boundary, and the decision question a human review should answer.
Incident-response engagement
A human-led review of one agreed failure scenario.
Share the timeline, failure signal, affected viewer context, and approved evidence. When the named path is configured and authorized, source, player, incident, and recovery evidence can be reviewed together. Viewer recovery remains conditional on downstream player or cohort evidence; production action is outside this review.
Evidence paths and tooling
Which current sources, players, incident tools, or metrics could support the review?
Tell us what tooling and evidence path are already configured, and where permissions stop. We can discuss fit for the current path; the intake does not establish universal integration coverage, added tooling, or write access.
Benchmark program
The quarterly reliability benchmark — methodology, joining, contributing data.
For editors, analysts, and competitor owners: the framing of the quarterly report, the rules of engagement for contributed telemetry, and how to opt a title into the cohort. We share the methodology document and back-channel the underlying definitions before anything publishes.
Environment and evidence boundaries
Current environment, permissions, and the evidence boundary for one review.
Tell us whether the workflow runs in a managed, hybrid, or otherwise constrained environment; which sources are readable; and what remains customer-controlled. A human reviewer can discuss fit and limitations without promising residency, on-premises, air-gapped, or automated-action support.
A person reviews the context you share.
Tell us the streaming reliability scenario you want to review, the evidence sources or tooling involved, the permission boundary, the desired success signal, and what approved evidence is available. The public form is for qualification, not a secret or evidence exchange, and it does not promise a response time or customer outcome. For security questionnaires and disclosure, please use the public contact form below. For suspected vulnerabilities, use the private GitHub Security Advisory path documented for the player SDK. contact form directly so it lands in the right queue.
Three sibling lanes for the cases below.
The form above is for operator-grade inbound. If the question is lighter, the waitlist or the benchmark-subscribe form is the better entry — and reading the Detect → Investigate → Decide → Approve → Act → Verify → Learn lifecycle first is the fastest way to know whether Streamwake is even the right surface.