AIOps and Intelligent Observability
The Autonomous Brain of Your IT Operations
Move Beyond Reactive Monitoring to a Predictive and Self-Healing IT Environment
The Core Capabilities of Our AIOps Engine
Our scientific approach to intelligent service delivery is built on four foundational capabilities that work in concert to create autonomous operations.
Explore seamless integration and intelligent automation from your concept to your customer.
Stay ahead of issues by identifying subtle anomalies and forecasting system behavior.
Anomaly Detection & Forecasting
Our machine learning models analyze metrics from Dynatrace, Datadog, Splunk, and Elastic Stack to identify subtle deviations and forecast potential system degradations and capacity constraints before they impact users.
Business Transaction Analytics
We correlate application performance with business outcomes (like order processing throughput) to prioritize optimization efforts based on actual business impact.
User Experience Analytics
Monitor real user interactions to identify friction points in critical business workflows across ERP, CRM, and custom applications.
Context-Aware Correlation
We intelligently correlate low-fidelity events from applications, infrastructure, and networks to form high-fidelity, actionable incidents, providing context and root-cause pointers to engineers.
Intelligent Incident Triage
AI-powered analysis categorizes, prioritizes, and routes incidents in ServiceNow and Jira based on business impact and resolution complexity.
Natural Language Root Cause Analysis
Engineers can query the system in plain English (“Why was the payment service slow at 2 PM?”) and receive a synthesized summary from correlated logs, metrics, and traces.
Automated Runbook Execution
Deploy AI Agents that trigger pre-approved remediation scripts in tools like Ansible, Kubernetes, and Azure Automation for known failure patterns (e.g., restarting services, clearing caches).
Dynamic Resource Optimization
Agents autonomously right-size cloud resources via AWS Auto Scaling and Azure Scale Sets based on real-time load predictions, optimizing both cost and performance.
Self-Healing Infrastructure & Databases
Automate responses to common issues, from failed cloud instances and misconfigured security groups to database space management and blocking sessions.
Full-Stack Visibility
Implementing comprehensive observability across VMware, AWS, Azure, and OCI using Dynatrace and Datadog to correlate cloud performance with application and business metrics.
Cross-Domain Analytics
Deliver correlated insights across applications, infrastructure, and business metrics, breaking down operational silos.
Service Health Dashboards
Provide real-time visibility into the health, performance, and cost of your entire IT estate with Grafana and Elastic Stack.
For Operational Excellence
- Up to 50% reduction in Mean Time to Resolution (MTTR)
- 20-30% reduction in unplanned downtime
- 65% fewer incidents requiring manual intervention
For Workforce Productivity
- 10-40% increase in IT team productivity by automating routine tasks
- 72% faster resolution of critical issues
For Quality and Cost Improvement
- 40% cost reduction in operations through automation
- 15-25% reduction in cloud TCO through optimized resource utilization
Stop managing IT alerts and start cultivating a self-sustaining digital ecosystem. Partner with Actin to deploy the intelligent brain that guarantees your operational performance, resilience, and efficiency.