Deployed at 11:42 PM.
Paged at 3:47 AM.
Three deploys shipped tonight. The error rate crossed threshold 14 minutes ago. SixDegree resolves your stack into one live graph, so the on-call knows what changed, who owns it, and which paying customers feel it, before the runbook opens.
Sound familiar?
Incidents get routed to the wrong team because ownership lives in tribal knowledge and a wiki nobody trusts.
The on-call spends the first twenty minutes reconstructing what changed instead of fixing it.
Nobody can say which customers an incident touches, so the renewal team finds out from the customer.
Architecture decisions get made without knowing what depends on what. Postmortems start with "we didn't realize."
Act 1 — the 3:47 AM page
Ask in plain language. Get the timeline.
| Change | Service | Author | Deployed | Risk |
|---|---|---|---|---|
| PR #4421 · Stripe webhook handler | payments-api | @sam | 11:42 PM | High |
| PR #4418 · retry backoff tuning | billing-worker | @priya | 10:15 PM | Low |
| PR #4415 · dependency bump | payments-api | @raj | 9:03 PM | Low |
SixDegree maps your engineering reality across every system you run.
An alert fires. The on-call engineer queries the graph. Every relevant fact, before they touch the runbook.
PagerDuty pages the on-call.
3:47 AM"payments-api error rate above threshold. 14 minutes."
PagerDutyThe on-call engineer opens SixDegree.
3:47 AMOne query, the service name. The graph returns everything connected to it.
SixDegreeThe engineer has service context.
3:47 AMpayments-api. Owned by @raj's team. 3 deploys in the last 24 hours. Most recent at 11:42 PM, PR #4421, touched the Stripe webhook handler. Reviewer @sam. Pulled from GitHub, Argo, and PagerDuty. Cross-referenced in the graph.
GitHub
ArgoPagerDutyThe engineer has dependency and customer context.
3:47 AMpayments-api is upstream of checkout-service and billing-worker. 14 customers active in the last 30 minutes, 3 on Premium tier. Linked to incident channel #inc-payments-api. Pulled from Kubernetes, Datadog, Salesforce, and Slack. Cross-referenced in the graph.
Kubernetes
Datadog
Salesforce
SlackThe engineer acts.
3:48 AMRolls back the deploy. Updates the incident channel. Pages the AE for the affected Premium customers. One minute from page to action. With every relevant fact in front of them.
ArgoSlackPagerDutyThe platform
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From the live engineering graph. Not a static service catalog. Not a stale wiki.
“Who owns the billing-worker service?”
@raj's team. Top contributors @raj, @sam, @priya. Most recent commits, on-call rotation, and recent incidents. @raj is OOO this week, @sam is the secondary.
“What breaks if we deprecate the v1 auth endpoint?”
14 services depend on it. 3 are critical-path. 4 customers have integrations against it. 2 partner integrations rely on it. Migration path mapped.
“What changed before the payment service went down?”
3 deploys in the 2 hours prior. One touched the Stripe webhook handler. PR #4421, no second reviewer, merged at 11:42 PM. Incident is still open.
“What does a new engineer need to know about the checkout service?”
Owned by @priya's team. Built in Go. Deployed via Argo. Depends on payments-api, fraud-service, and inventory-cache. On-call rotation, runbook, and recent incidents linked.
The metrics that move.
What engineering leaders measure when their team works with full operating context.
Page-to-rollback time
What changed, who owns it, roll it back. One minute, not twenty.
Customer-impact visibility
Every incident lands with the accounts and revenue on the affected path.
Ownership resolution accuracy
The right team, the right on-call, on the first page.
Architecture decision lead time
The blast-radius answer ready before the design doc.
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