SLI · burn
4 golden signalsMetrics that map to users
Golden signals and journey SLIs — not vanity CPU graphs nobody pages on.
We define SLIs per journey, then burn-rate policies that page before customers tweet.
Observability & on-call
See it before
your customers do.
We build monitoring, alerting, and on-call practice that cuts noise and surfaces real risk — metrics, logs, traces, and SLOs wired to the journeys that matter.
- SLO alerts
- OpenTelemetry
- On-call ready
Watched with
<5mMTTD targets for critical paths
SLOAlerts tied to user journeys
−60%Typical alert noise reduction
24/7Coverage models that match risk
Who it's for
Built for the people who carry the pager
- Error budgetsBurn-first pages
SRE / platform
Signal standards, burn alerts, and quieter pages that still catch real pain.
- Journey SLIsSelf-serve dig
Product engineering
Traces and dashboards that explain failures without a platform ticket queue.
- Human-safe pagingRunbook hit-rate
On-call leads
Schedules, escalations, and runbooks people actually open at 2am.
- Evidence trailsAudit-ready
Security / compliance
Retention, access, and incident timelines that survive an audit ask.
Observability
Four pillars — wired to real journeys
Select a pillar to see the signal type, metric focus, and how it connects to paging.
SLI · burn4 golden signalsSLO board
Error budgets that page on user pain
- SLI
- 99.9% success
- Burn
- 1h: 0.4×
- SLI
- 99.95% avail
- Burn
- 1h: 0.2×
- SLI
- < 400ms
- Burn
- 6h: 1.8×
- SLI
- 99.5% in 30s
- Burn
- 1h: 3.1×
Noise control
Fewer pages. Higher trust.
before
Symptom soup
142 / weekVanity pages train people to ignore the pager
- CPU pages with no user impact
- Duplicate alerts for one outage
- No owner → ignored forever
- Dashboards nobody trusts
after
Journey-first
~38 / weekFewer pages — each one earns attention
- Burn-rate on user SLIs
- Deduped & routed by service
- Every page has a runbook
- Delete list for vanity noise
Capabilities
Instrument → detect → respond → improve
- 01Instrument
Observability foundation
Collectors, exporters, and standards so new services inherit visibility by default.
- OpenTelemetry
- Service catalogs
- Env parity
- 02Detect
SLO-based alerting
Burn-rate alerts and multi-window policies that catch real user pain early.
- Error budgets
- Routing rules
- Silence hygiene
- 03Respond
Incident & on-call practice
Schedules, escalations, war-room norms, and post-incident learning that sticks.
- PagerDuty / Opsgenie
- Severity model
- Blameless reviews
- 04Improve
Continuous reliability
Game days, dependency maps, and toil reduction so ops gets healthier each quarter.
- Chaos lite
- Runbook tests
- Toil backlog
On-call
Coverage that matches risk — not theater
Stack
Real tools we wire for signal and response
- PrometheusMetrics
- GrafanaDashboards
- DatadogAPM
- New RelicObservability
- KubernetesWorkloads
- DockerRuntime
Results
Quieter nights. Faster diagnosis.
Prometheus · Grafana · PagerDuty−70% pages
From 400 noisy alerts to 12 that matter
Rewrote alerting around SLOs; on-call load dropped and MTTR improved the same month.
- Challenge
- On-call ignored pages because almost everything was noise.
- Outcome
- Journey burn alerts only; delete list cut 70% of pages in four weeks.
Deliverables
What you leave with — not just more graphs
- 01Audit
Signal inventory
What pages today, what is ignored, what is missing.
- 02Policy
SLO & alert pack
Journey SLIs, burn policies, and routing by ownership.
- 03Views
Dashboard set
Golden signals + critical path views operators trust.
- 04Playbook
Runbooks
First-five-minutes steps for every high-sev page.
- 05Roster
On-call model
Schedules, escalations, and severity definitions.
- 06Cleanup
Noise delete list
Alerts retired with rationale — not silently muted forever.
Anti-patterns
Patterns we help you retire
NOISE-01Page on every CPU blipInfrastructure vanity that trains people to ignore the pager.OWN-00No owner on the alertPages that land in a shared void and die unread.UI-DEADDashboards as decorationPretty graphs that never answer “what do I do now?”SPAN-MISSTraces nowhere usefulSampling that skips the path that is actually slow.
Industries
Where quiet, trusted paging pays off
SaaS platforms
Multi-tenant SLOs and noisy-neighbor detection.
Fintech
Payment journey burn rates and audit-friendly timelines.
E-commerce
Checkout and search paths watched through peak seasons.
Marketplaces
Seller and buyer journeys with shared dependency maps.
Why Zupitrix
Monitoring built for humans on call
Symptom-first culture
We alert on user-visible pain, then dig into causes — not the other way around.
Ops empathy
Designs that respect sleep, attention, and the humans who carry the pager.
Stack fluency
Open source or commercial — we optimize for clarity and ownership, not license dogma.
- 01Signal audit
What exists, what pages, what is ignored.
1–2 wks - 02SLO design
User journeys, budgets, and alert policies.
1–3 wks - 03Implement
Dashboards, collectors, routing, and runbooks.
2–6 wks - 04Drill & operate
Game days, tune noise, optional managed watch.
Ongoing
FAQ
Questions about 24/7 monitoring
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