Intelligent automation pipelines
From signals to action—automate across edge, cloud, and hybrid.
Why telemetry matters
Raw logs ≠ insight
Common telemetry gaps:
- 01
High data volume, low signal clarity
- 02
Disconnected from orchestration triggers
- 03
Reactive thresholds without intent awareness
- 04
No real-time feedback to scheduling systems
The closed-loop approach
Detect. Decide. Deploy.
Calsoft integrates:
Real-time metric ingestion (Prometheus, Open Telemetry, Fluentd, Datadog)
Event-driven orchestration (Airflow, Step Functions, Argo, AIOps engines)
Feedback logging and KPI recalibration
ML-based anomaly detection and threshold tuning
Response mapping (scale, heal, throttle, reboot, re-route)
Reduce MTTR by 40% via telemetry.
What gets automated
Precision at every layer
We automate:
Business impact
No more wake-up calls
Here’s how we get started
KPI
Before
After
MTTR (mean time to recovery)
45–60 mins
<5 mins
False alarms
Frequent
Reduced by 70%
Manual interventions
Daily
<2/week
SLA breaches
Common
↓ by 80%
Infra over provisioning
High
Optimized by 35%
How to start
4 steps to closed-loop infra
Capture telemetry right
Standardize ingestion from infra, apps, user, and business KPIs.
Label and learn
Train AI/ML models on normal vs anomaly behavior across tiers.
Define decision
Map signals to actions with fallbacks and confidence thresholds.
Deploy smart orchestration
Connect to orchestrators, monitor feedback, auto-tune rules.
