Who it's for
Head of platform or SRE — multi-tenant ops narratives.
Platform SRE — reliability and change on one record
Platform incidents lack a single operational narrative. Connect PagerDuty and GitHub on the same fabric. Slack waits. Private evals on time-to-linked-PR and RCA completeness. Talk to us when ready.
The problem
Internal platform incidents and deploys sit in different tools; agents cannot reuse change and on-call context.
Outcome
Reliability and velocity pulses on one record — live deploy/incident heartbeats, short-term change context, compounding RCA with private evals.
Multi-horizon BI
Platform reliability and velocity pulses: deploy/PR heartbeats, short-term cycle-time context, long-term quality/recovery narratives.
Real-time
Deploy and incident heartbeats from ops connectors (GitHub, PagerDuty) on platform-owned dept.* products. Slack waits (parked).
Short-term
Recent change windows and on-call shift context for error-budget conversations—without treating raw PR volume as vanity DORA theater.
Long-term
Compounded reliability narratives and optional local MIT memory recall of prior platform RCA patterns across on-call cycles.
Engineering performance literature still centers change + recovery signals; agents need lineage, not dashboard vanity. Private evals only.
Workflow map (2026)
Platform incidents lack a single operational narrative. Connect PagerDuty and GitHub on the same fabric. Slack waits. A name in the directory isn't a live connection yet. Not a Datadog replacement.
Platform engSREDevOps manager
Build
PagerDuty and GitHub publish platform incident and deploy events. Slack waits (parked). Not a GA ops connector claim.
Steer
Health and incident tools for platform tenancy.
Compound
Reliability narratives improve each on-call cycle — private evals only.
Learning loop
Reliability narratives improve each on-call cycle — private evals only. Slack waits. A name in the directory isn't a live connection yet.
Questions agents answer
- What platform incidents affected tenant isolation this week?
- Which deploys correlate with elevated error budgets on the control plane?
- Summarize reliability narratives for the last on-call shift.
How it works on I/O Mesh
Step 1
Instrument platform ops
PagerDuty and GitHub publish platform incident and deploy events on the operational mesh. Slack waits (parked).
Step 2
Link enrich internal RCA
Incident → PR → war-room chains compound without blocking hot-path publish.
Step 3
MCP platform tools
Health and incident trace tools scoped to platform tenancy with audit.
Step 4
Private reliability evals
Measure time-to-linked-PR and similar-incident recall on platform needles.
Departments
- Engineering
- Ops
- Platform
Operational mesh
dept.* stream patterns
- dept.engineering.events.pagerduty
- dept.engineering.events.github
What ships today
- Ops connectors for on-call and change (PagerDuty, GitHub) — Slack waits
- Link enrich and private eval harness
- A name in the directory isn't a live connection yet
Governed MCP tools
- trace_incident
- summarize_health
- compose_operational_mesh
- Typical company stage
- enterprise
- Evaluation path
- Connect PagerDuty and GitHub on the same fabric. Slack waits. Private evals on time-to-linked-PR and RCA completeness. Zendesk optional later — not Stage 0 required. Talk to us when ready.
Recommended connectors
- PagerDuty
- GitHub
Each live connector bills as a usage meter — install from Integrations after signup.
Related solutions
B2B SaaS
Later recipe. Same record as Platform/SRE, not a first-ten hero. Engineering, product, sales, CS, and support stay department-scoped — not a company-wide vector dump.
Platform & SRE
Incident and change on one heartbeat. PagerDuty first, GitHub second, Slack waits. Agents cite the signed record — not another alert chat box.
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