Discover the CloudFabrix Advantage
Driving AI and ML driven automated IT operational decisions at scale across all domains of IT, to reduce tickets, resolve faster, predict outages, improve productivity and cut costs.
Why AIOps
Modern day IT environments are becoming dynamic, interconnected and complex. Data explosion, siloed tools and manual IT operational decisions might be holding you back.
Data Explosion
(10X sensor data, 50X Human Data)
Not able to handle and process fast growing data
Lack of Full-Stack Intelligence
(SLA/outcomes vs Metrics)
Customers care about outcomes & SLAs (aggregated intelligence) instead of individual metrics
Multitude of discrete operational tools
(10+ tools on average)
Usage of functional specific tools led to tool sprawl and management overhead
Spending too much time on diagnostics
(Need better RCA, Predictive Analytics)
Lack of automated incident diagnostics and contextual insights causing long resolution times
Rising resource costs due to growing alert volume
(100K’s of alerts to <100’s)
Customers have to deal with growing alerts by adding more people.
Risk due to technology obsoletion, non-compliance
(10+ tools on average)
Aging infrastructure, out-of-support assets, under or over utilized, non-compliant assets increase risk
Why CloudFabrix AIOps
Perform AI & ML-Driven Operations at Scale with Proactive & Predictive Full-Stack IT Operations Platform
Automated data preparation and onboarding, native asset topology intelligence, AI/ML event correlations and predictions, single pane Incident triaging are some of the key innovations that deliver a whole new intelligent and upgrade to your IT
Other Vendors
CloudFabrix
Benefit
Data Acquisition & Integration
- PS Overhead
- Data Gaps
Multiple algorithmic methods to automate data discovery & gap analysis
Faster Time To Value
Context Enrichment
- Topology - 3rd Party
- Tagging, cookbooks ...
Built in full stack discovery & mappings for automated alert enrichment
Less Maintenance
Event / Alert Correlation
- Rule based correlations
- Longer time to learn
ML driven symptom and stack based correlations provides very targeted & faster noise reduction
Increased Productivity
Incident Triaging & Root Cause
- No Metrics & logs
- Cross launch of Tools
Provides single pane of triaging based on on-demand metrics, logs, changes & anomalies
Reduced MTTR
Predictive Insights
- Limited Predictive ML
- Closed ML
Built in ML pipelines to do anomalies & predictive analytics
Better Forecasting
Explore More with these Resources

Observability in a Box | Unified Observability lens to your Full-Stack, Hybrid-Cloud environment

Predictive Digital IT Operations with AIOps | CloudFabrix Digital IT Operations