Intelligent infrastructure with AIOps
Transform logs and metrics into real-time actions and performance gains.
Why infra lags persist
Too much data. Too little insight
Common blockers to performance:
How AIOps helps
Automate the why, not just the what
Calsoft’s AIOps solution includes:
Multi-source ingestion: logs, metrics, traces, events
Performance optimization suggestions
Real-time anomaly detection using ML models
Trigger-based orchestration (scale, re-route, pause, notify)
Automated RCA (Root Cause Analysis) with intent mapping
Integration with Grafana, ELK, Datadog, Prometheus, and AppDynamics
Tangible gains
From reactive to predictive Ops
| KPI | Before AIOps | After AIOps |
|---|---|---|
| MTTR | 45–90 min | <10 min |
| Alert noise | High | Reduced by 70% |
| RCA time | Manual | <1 min (AI-assisted) |
| Ops cost | High | ↓ by 30% |
| Downtime | Frequent | Rare |
What we automate
Smarter infra, layer by layer
AIOps-driven automations include:
Auto-scale infra based on usage prediction
Quarantine noisy neighbors in shared clusters
Intelligent task re-routing under high CPU/IO
Dynamic memory/network reallocation
App-level throttling or rate limiting under load
How to start
4 steps to AI-driven infra
Map Performance Gaps
Identify key services with lag, errors, or resource wastage.
Ingest & Normalize Observability Data
Integrate logs, traces, metrics into centralized pipeline.
Enable Detection Models
Train or fine-tune anomaly and impact prediction algorithms.
Define Actions & Integrate
Map issues to automated workflows in your infra environment.
