Paging on raw infrastructure metrics without service context creates alert storms unrelated to customer impact.
Splunk Observability Cloud
Make Splunk Observability Cloud alerts worth responding to
Observability tools often page on thresholds that made sense during setup but not in production. Teams mute channels, stack dashboards, and still lose time separating symptom from cause during incidents.
Alert rationalisation SLO-oriented paging Noise reduction On-call friendly
Why this matters
Why this matters
Alert quality directly affects MTTR and on-call burnout — tuning observability signals is operational work, not a licensing conversation.
SLO burn alerts only help when error budgets and ownership are agreed with product teams.
Duplicate alerts across Observability Cloud and Platform searches double fatigue without improving triage.
What you get
Clear outputs you can use
Focused signal optimisation in Splunk Observability Cloud: noise reduction, detector and alert review, SLO-oriented alerting patterns, and a prioritised backlog SRE teams can own.
- ✓ Alert and detector findings for agreed scopes with before/after evidence where changes are made
- ✓ SLO-oriented alerting recommendations and exemplar rules for priority services
- ✓ Prioritised backlog for dashboards, ownership, and further instrumentation work
Why teams talk to GKC
Calm, practical, and grounded in the environment you already have
Works in your Observability Cloud tenant — not a generic alerting best-practices deck
Complements general observability-health-check when tool-agnostic view helps stakeholders
Bounded engagement — does not replace full APM rollout (scoped separately)
What happens next
A straightforward first step
We keep the first step straightforward so you can understand fit, scope, and likely value before deciding what to do next.
1
Review on-call reality
We analyse alert volume, mute patterns, and incident transcripts for agreed services and environments.
2
Tune detectors and SLOs
Targeted changes to detectors, muting, and SLO burn policies are tested with SRE and service owner input.
3
Hand over sustainment guidance
You receive standards and a backlog so teams can keep alert quality after the engagement ends.
Questions teams often have
Common questions
Is this the same as detection tuning on /services?
Detection tuning is for security detections. This work is Observability Cloud alerting and SLOs for operations — different signals, different owners.
Can you eliminate all alerts?
No. The goal is useful paging aligned to service impact — not silence that hides outages.
We only need more dashboards. Is that enough?
Dashboards support triage but do not fix bad paging. We focus on what wakes people up at night.
Related services
If this is close, these may be relevant too
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APM & Distributed Tracing Implementation
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Splunk Observability Cloud
Observability Cloud Readiness Assessment
A bounded Observability Cloud readiness assessment: maturity against your goals, signal and instrumentation gaps, agent and auto-instrumentation posture, and prioritised actions for SRE and platform owners.
Value and Cost Clarity
Observability Health Check
The Observability Health Check is a focused review of how your current setup is performing, where value is being lost, and what to improve first.
Value and Cost Clarity
Observability Cost Visibility
Observability Cost Visibility gives teams a clearer view of what is driving cost, where patterns are changing, and which areas deserve attention first.
Next step
Start with a practical conversation
We can talk through the environment, what is making this feel urgent or uncertain, and whether this service is the right fit. If another starting point makes more sense, we will say so.