Predict before it breaks
ScaleCloud's AIOps & predictive operations service uses AI and ML to predict incidents, detect anomalies, and auto-remediate — with predictive analytics, anomaly detection, and intelligent automation that prevent 60% of incidents before they happen.
ML models for prediction.
Detect anomalies before incidents.
AI-driven auto-remediation.
Prevent 60% of incidents.
Full-lifecycle AIOps & predictive operations expertise
From data to prevention — select a lifecycle stage to see the focus areas, deliverables, and tooling we bring.
Data
UnifiedCollect and unify telemetry data from all sources for AI models.
- Data
- Telemetry
- Unified
- Data pipeline
- Telemetry
- Unified data
Ten services across the AIOps lifecycle
A complete AIOps practice — select a service to explore the outcomes and where it fits.
Telemetry Data Unification
Collect and unify telemetry data from all sources for AI models.
UnifiedDepth across every AIOps domain
We deliver across the full AIOps portfolio — select a domain to see what it covers and where it fits best.
Data
6 servicesTelemetry data unification.
An AI-driven predictive operations architecture
Data, ML, anomaly, prediction, remediation, and correlation layers. Select a layer to explore its components and design principles.
ML Layer
95% accuracyModel training and management.
- Trained
- Validated
- Accurate
How we deliver AIOps
Select a track to explore our approach — model training, anomaly detection, and prevention.
Data & Training
95% accuracyCollect telemetry data and train ML models.
- Telemetry data pipeline
- Data unification
- Feature engineering
- Model selection
- Model training
- Validation and testing
- MLOps setup
- Model deployment
AIOps capability depth
Seven capability areas with detailed features — select an area to explore each component and what it delivers.
Data
Telemetry unification.
- MetricsMetric data
- LogsLog data
- TracesTrace data
- EventsEvent stream
- AlertsAlert data
- TopologyTopology data
- UnificationData unification
- ProcessingData processing
- StorageData storage
Start with a focused AIOps assessment
Three assessments that turn AIOps ambition into a predictive plan.
AIOps Readiness Assessment
Assess AIOps readiness, data maturity, and ML opportunities.
Duration: 2–3 weeksRequest AssessmentTelemetry Data Assessment
Assess telemetry data coverage, quality, and unification readiness.
Duration: 1–2 weeksRequest AssessmentPrediction Opportunity Assessment
Identify prediction and prevention opportunities from historical data.
Duration: 1 weekRequest AssessmentOutcomes our AIOps deliver
60% Incidents Prevented
Predictive analytics and early warning that prevent 60% of incidents before they happen — from reactive to proactive operations.
340 Auto-Fixed/Day
AI-driven auto-remediation that fixes 340 common issues per day without human intervention — 5-minute auto-MTTR.
340→1 Alert Correlation
AI alert correlation that reduces 340 alerts to 1 incident — cutting noise by 99% and identifying root cause automatically.
Continue across the AIOps ecosystem
Explore related managed services — select one to see its strengths and where it fits.
SRE & Observability
SLOs and observability for AIOps.
Insights from our AIOps engineers
Field-tested perspectives on prediction, anomaly detection, and auto-remediation — with author and read time.
Preventing 60% of Incidents with AI
How predictive analytics and early warning prevent 60% of incidents before they happen.
AI Auto-Remediation in Production
AI-driven auto-remediation that fixes 340 issues a day without humans.
From 340 Alerts to 1 Incident
AI alert correlation that reduces noise by 99% and identifies root cause.
Training ML Models for Operations
How we train, validate, and deploy ML models for anomaly detection at 95% accuracy.
Anomaly Detection That Works
ML-based anomaly detection with seasonal awareness for real operations.
Answers to common AIOps questions
AIOps Readiness Score
Your AIOps readiness at a glance
- Free 30-minute consultation
- 30-day first model
- NDA available on request
- No obligation, no pressure
Ready to predict before it breaks?
Book a consultation with our AIOps engineers and set up telemetry unification, ML models, anomaly detection, predictive analytics, and auto-remediation for 60% incident prevention.