Intelligent Monitoring & Observability
See everything. Alert on what matters. Fix it before users notice.
Full-stack observability — APM, infrastructure monitoring, synthetic + RUM, and AIOps-driven intelligent alerting.
Monitoring that generates noise is almost as dangerous as monitoring that misses incidents entirely. We design observability frameworks that correlate metrics, logs, and traces end-to-end — then apply AI to detect anomalies, predict breaches, and suppress alert fatigue.
From unified monitoring setup across multi-cloud and hybrid estates, through code-level APM diagnostics and real-user monitoring, to self-healing workflows triggered automatically — we cover the full observability lifecycle.
For teams that need always-on coverage, our 24×7 managed monitoring service keeps watch so yours can rest.
Tools we use
Dynatrace · AppDynamics · Datadog · Prometheus · Grafana · OpenTelemetry · CloudWatch · Azure Monitor · New Relic · Splunk
- alert noise via intelligent correlation
- -80%
- alert noise via intelligent correlation
- mean time to detect anomalies
- <5 min
- mean time to detect anomalies
- and faster fixes
- Fewer false alerts
- and faster fixes
What we ensure
- Centralized metrics, logs, and traces built on OpenTelemetry standards
- Dashboards in Grafana, Kibana, and cloud-native tooling
- Code-level diagnostics — SQL, API, JVM, .NET, Node.js
- Synthetic transaction monitoring and RUM across global locations
- AI-powered anomaly detection, root-cause analysis, and breach prediction
- Self-healing workflows integrated with ServiceNow, PagerDuty, Slack
Capabilities under this practice
- 01
Unified Monitoring Frameworks
One place for infrastructure, application, API, and database signals, correlated to OpenTelemetry and shown in Grafana, Kibana, or Splunk.
- 02
Application Performance Monitoring
Transaction tracing and code-level diagnostics on Dynatrace, AppDynamics, Datadog, and New Relic, with SLA-breach prediction.
- 03
Infrastructure & Cloud Monitoring
Server, VM, Kubernetes, and cloud workload health, including Prometheus, CloudWatch, Azure Monitor, and capacity signals.
- 04
End-User & Synthetic Monitoring
Synthetic journeys and real-user monitoring, including Core Web Vitals, with LoadRunner TruClient, Dynatrace, and Lighthouse.
- 05
AIOps & Intelligent Alerting
Anomaly detection, alert suppression, and self-healing workflows into ServiceNow, PagerDuty, Opsgenie, and Slack.
Talk to us about Observability.
Tell us about your landscape. We reply within one business day with an honest assessment.