Streamwake + Datadog.
Don't replace Datadog — we read its monitor + metric + log signal and drive remediation, then push incidents back as Datadog events and metrics.
Don't replace Datadog — we read the monitor + metric + log signal Datadog already fans-in from the rest of the stack and turn it into ranked root causes with recommended fixes. Every incident Streamwake closes flows back into Datadog as typed events and metrics, so the loop is bi-directional end to end.
Datadog saas observability — metrics, logs, and traces with bi-directional sync. Streamwake doesn't replace Datadog— we correlate its signals and drive remediation on the anomalies it already surfaces.
What Datadog owns. What Streamwake runs on top.
Honest framing of the surface the vendor owns and the surface Streamwake runs on top of it. Both layers run together in production — same signal bus, different obligations.
Telemetry plane
Monitors + incident routing
Detect → Classify → Fix + bi-directional sync
Postmortems
An incident closed
before your viewers notice.
Four steps from a Datadoganomaly to a closed incident with a typed postmortem. Read top to bottom — the loop is closed end to end.
- 1
Ingest Datadog telemetry
Monitor transitions, custom metric series, log streams, APM span anomalies, SLO burn-rate windows, on-call page events, and downtime notices land on the Streamwake signal bus via a single REST POST. Bi-directional on day one — every closed incident lands back as a Datadog event.
- 2
Correlate and rank
The agent joins Datadog signals against CDN, encoder, DRM, and probe signals on the same bus, then ranks root cause with a typed confidence score (monitor_threshold_skew vs metric_log_fanout_lag vs multi_env_tag_drift vs paged_responder_skew).
- 3
Recommend or run a fix + sync back
The agent picks the smallest safe remediation — retune a monitor threshold, re-tag a mis-tagged service, fan the same log to a different index, escalate the right responder — verifies recovery, then publishes a typed event + a remediation metric back into Datadog so the same monitor the agent read is the monitor the agent updated.
- 4
Write the postmortem
A structured writeup — what happened, what was tried, what changed — lands in the team's inbox AND as a tagged Datadog event the moment the incident resolves. Both sides of the loop close end to end.
Four failure modes Datadog alerts alone miss.
Each one is something the Datadogsignal exposes but the agent loop names and acts on — so a chart becomes a closed incident rather than a triage queue.
Monitor Threshold Skew
A monitor's threshold drifted away from real burn-rate — the alarm trip that used to require sustained breach now fires on a single roll-up that the SLO math already screens out. Datadog alerts on the threshold; Streamwake catches the threshold-vs-burn-rate skew the moment two consecutive windows disagree and re-anchors the threshold to the SLO's burn-rate curve before the next brown-out trips the wrong alert.
Metric Log Fanout Lag
Custom metric and log fanout lag — a service is shipping metrics 60s ahead of the matching logs, so Datadog shows the chart and the log stream back-fills minutes later. Streamwake catches the metric-vs-log arrival skew on the same signal bus, surfaces the fanout-lag hypothesis, and either retunes the log shipper or staggers the metric emit so the two streams land in lockstep again.
Multi Env Tag Drift
A service mis-tagged across staging vs production — the env tag actually a region tag, the version tag actually a build hash, or one of the services still emitting under the legacy tag schema. Datadog surfaces the cross-env skew as a missing facet; Streamwake pins which emit site is mis-tagged, re-tags the offending service, and re-labels the historical stream so dashboards match.
Paged Responder Skew
An on-call rotation that pages the wrong responder — typically a secondary who has rotated off, a new responder with the same initials, or a PagerDuty / Opsgenie handoff that never landed in Datadog. Streamwake catches the page-vs-rotation skew the moment the wrong responder ack's the page, surfaces a typed next-action (re-route the rotation, update Datadog's paging target, file the swap), and prevents a repeat page on the next rotation flip.
Monitor your Datadog pipeline free.
Next to Datadog.
Paste your Datadog monitor or log-archive URL — /stream-check runs the same five checks (manifest, segments, bitrate ladder, CDN response, playback errors) in under a minute. No login. Pair it with the Book-a-demo block below for a guided walkthrough of the bi-directional sync lane.
Wire Streamwake into a Datadog deployment in one config + one webhook.
Datadog stays the source of truth — observability, dashboards, metrics retention, monitor authoring, on-call routing. Streamwake sits as the autonomous response layer on top of those exact signals and pushes the typed remediation back into Datadog as events + metrics. They sit in different layers, not against each other. The snippet below is the only thing to drop into your Datadog account to flip the loop on.
{
"name": "streamwake-into-datadog-bidir",
"type": "metric alert",
"query": "avg(datadog.streamwake.remediation.applied{env:prod}).as_count()",
"message": "{{#is_alert}}Streamwake closed an incident — see {{event.url}}{{/is_alert}}",
"tags": ["streamwake", "bi-directional", "env:prod"],
"notify": ["@streamwake.remediation.applied"],
"options": { "thresholds": { "critical": 0 } }
}Pair the monitor above with the Streamwake envelope below on the Streamwake side — one POST, one webhook. Tests live alongside the source; rollback is a single config delete.
POST https://api.streamwake.com/v1/telemetry-sources
{
"source": "datadog",
"env": "prod",
"bidirectional": {
"metric_prefix": "datadog.streamwake.remediation.applied",
"tag_strategy": "preserve",
"monitor_skew_probes": [
"monitor_threshold_skew",
"metric_log_fanout_lag",
"multi_env_tag_drift",
"paged_responder_skew"
],
"webhook_secret_ref": "POLSIA_INTEGRATION_SECRET"
}Monitor burn-rate overshoot caught between service tiers.
datadog.burn_rate_overshoot_window_seconds report surface drifted to 2,791 s vs 184 sbaseline — a 93% overshoot between the auth-tier and the player-tier monitors on a primetime stream, observed after an SLO burn-rate window promotion that put two services on the same monitor page without re-anchoring their thresholds.
The agent classified it as datadog_monitor_burn_rate_skew at 87% confidence, emitted a per-tier threshold re-anchor + a burn-rate window reorder, and closed the incident by pushing a typed remediation event back into Datadog as datadog.streamwake.remediation.applied — the multi-tier monitor skew cleared within 9 minutes.
Direct mapping to the Streamwake bi-directional sync lane — every Datadog signal that fired the monitor burn-rate skew hypothesis is the same signal a metric fanout lag / a cross-env tag skew / a paged-responder skew pushes onto the bus. The agent that closed the primetime incident is the same one that catches a metric/log fanout lag the moment the two streams stop landing in lockstep, re-tags a mis-tagged service before dashboards diverge, and re-routes an on-call rotation the second the wrong responder acks the page.
Book a 20-minute walkthrough on your Datadog monitor + log ingest + incident routing.
We're happy to walk through how the monitor-burn-rate-skew, metric/log-fanout-lag, multi-env-tag-drift, and paged-responder-skew probes map onto your existing Datadog setup. Drop your details below and we'll follow up within 1 business day.