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.

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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Nelson Ratinho
Nelson RatinhoCEO @Outcloud
AIOps isn't magic AI. It's a data-driven operating model: collect the right signals → correlate → prioritise → automate. We focus on measurable impact fast, not multi-year "platform" projects.

AIOps FAQs

Do we need data science to do AIOps?

No. Start with correlation + enrichment + suppressions. ML adds incremental value once data quality improves.

No. We extend them. We help standardise signals, then add intelligence & automation.

More helps, but we can baseline from 30 days of alert history and evolve.

We start with “recommend / approve” flows, then move to auto-remediation for low-risk patterns once proven.

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.