AIOPS SERVICES
Turn noisy alerts into actionable intelligence
Out.Cloud helps you correlate events, cut false positives and automate first-line fixes without ripping out your observability stack.
30-50%
↓ alert noise after pilot
Faster
MMTE with automation
Fewer
on-call escalations
Alert floods are killing on-call teams
As cloud estates scale, everything pages everything. On-call gets desensitised, real incidents hide in the noise, and burnout grows.
Too many alerts, no context
Different tools, duplicate events, unclear ownership. Engineers drown in noise while real issues go unnoticed.
Slow triage
Engineers waste time deciding if an alert matters. Manual correlation means longer MTTR and frustrated teams.
Manual fixes on repeat
Same remediation steps, still done by humans at 02:00. Automation opportunities missed due to alert chaos.
No closed-loop metrics
Hard to prove improvement to leadership. Without baseline data, you can’t show ROI on reliability investments.
AIOps Kick-Start (10-Week Pilot)
As cloud estates scale, everything pages everything. On-call gets desensitised, real incidents hide in the noise, and burnout grows.
Baseline & Data Audit
Integrate with your telemetry, map alert volume & categories, identify top noisy sources.
Signal Normalisation
De-dup rules, topology/context mapping, tag ownership (team/service/env).
Correlation Rules & ML
Group related events; test anomaly/threshold models where data density allows.
Automation Candidates
Identify 5-10 high-frequency, low-risk remediation actions for automation.
Reporting & Planning
Compare before/after metrics; build scale-out roadmap; define integration path.
Works with your existing tools
We plug into common monitoring and incident management stacks






Outcomes You Can Target
Alert Noise Reduction: 30-50% fewer duplicate / low-value alerts in 90 days
MTTR Improvement: Faster triage when high-severity incidents bundle correlated context
On-Call Load Relief: Fewer wake-ups via auto-suppress / auto-resolve of known issues
Better SLO Reporting: Baseline error budgets & reliability trends to support product trade-offs
Compliance Benefit: Evidence of monitoring coverage and incident response for ISO 27001 controls
WHAT OUR CLIENTS SAY
"We went from nightly alert storms to actionable signal. The Out.Cloud pilot surfaced 5 noisy integrations and automated 3 recurring fixes. On-call pain dropped fast."
Head of Platform, European SaaS Client
Extend Beyond the Pilot
Once the pilot shows value, scale in phases
Scale-Up
Expand noise policies
Broader coverage across all clusters/accounts, centralised governance
Automation
Integrate run-books
Connect with ticketing & ChatOps for faster remediation, less human toil
SLO Ops
Link to business metrics
Align reliability trade-offs with product using error budgets
Managed
Out.Cloud platform ops
Continuous improvement and tuning with monthly reports
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AIOps FAQs
Do we need data science to do AIOps?
No. Start with correlation + enrichment + suppressions. ML adds incremental value once data quality improves.
Will you replace our monitoring tools?
No. We extend them. We help standardise signals, then add intelligence & automation.
How much data history do we need?
More helps, but we can baseline from 30 days of alert history and evolve.
Is automation safe?
We start with “recommend / approve” flows, then move to auto-remediation for low-risk patterns once proven.
Can AIOps help compliance?
Yes. Automated evidence of monitoring, response and change traceability can support ISO 27001 controls and GDPR incident reporting.
aiops services
Ready to cut alert noise?
Out.Cloud helps you correlate events, cut false positives and automate first-line fixes without ripping out your observability stack.