Infrastructure observability

From visibility to intelligent, automated action, optimize performance and scale with confidence

Infrastructure Observability Dashboard

Feature overview

Infrastructure observability unifies metrics, logs, and events to provide real-time visibility across environments. AI-driven analytics enable early anomaly detection and faster root cause analysis, improving operational resilience and service reliability at scale. This reduces MTTR, enables cost optimization, and strengthens business continuity while accelerating digital transformation initiatives.

See also
HYBRID VISIBILITY

Unify visibility across every layer of your IT infrastructure

Monitor your entire infrastructure from servers and networks to databases, cloud resources, and containers in a single unified view.

  • Dependency Mapping: Visualize infrastructure dependencies with dynamic topology maps and real-time dashboards.
  • Centralized View: Get a unified view of system health across on-premises, hybrid, and cloud environments.
  • MSP Support: Support MSP environments with multi-tenant monitoring, role-based access control, and centralized visibility across multiple client infrastructures.
Unified visibility across hybrid infrastructure
AI-POWERED ANOMALY DETECTION

Proactively detect infrastructure anomalies before business impact

Identify unusual behavior across your IT environment using advanced AI-driven analytics and adaptive intelligence.

  • Behavioral Analytics: Detect unusual behavior across infrastructure metrics using AI-driven analytics.
  • Adaptive Thresholds: Identify performance deviations early with intelligent baselines and adaptive thresholds.
  • Reduced Alert Fatigue: Reduce alert fatigue by surfacing only meaningful anomalies, lowering incident volume and giving teams time to protect SLO adherence.
AI-powered anomaly detection interface
LOG & EVENT CORRELATION

Correlate events and logs to surface root cause faster

Bridge the gap between infrastructure metrics and log data to understand exactly what is happening across your environment.

  • Unified Context: Correlate logs, events, and infrastructure metrics to understand what’s happening across your environment.
  • Real-time Syslog Analysis: Analyze syslogs and system events in real time to detect operational issues early before they escalate into service disruptions.
  • Ecosystem Integration: Seamlessly integrate with ITSM tools, cloud platforms, and DevOps ecosystems to unify data and workflows.
Log and event correlation visualization
AUTOMATED RCA & REMEDIATION

Pinpoint root cause and resolve incidents without manual effort

Accelerate your troubleshooting process with contextual insights and automated workflows.

  • Signal Correlation: Correlate infrastructure signals to pinpoint the root cause of issues.
  • Contextual Insights: Accelerate troubleshooting with contextual insights across infrastructure components.
  • Workflow Automation: Trigger automated remediation workflows to resolve incidents faster and reduce manual effort.
Automated RCA and remediation workflows
CAPACITY PLANNING & FORECASTING

Anticipate infrastructure demand and stay ahead of capacity constraints

Use historical data and predictive analytics to ensure your infrastructure scales alongside your business needs.

  • Trend Analysis: Analyze historical infrastructure trends to predict future capacity requirements.
  • Bottleneck Prevention: Spot underutilized resources and forecast resource demand to prevent performance bottlenecks and unexpected outages.
  • Performance Reporting: Generate detailed reports on infrastructure performance, availability, and utilization to track trends and continuously improve MTTR.
Capacity planning and forecasting reports

FAQ

1. What is infrastructure observability?

Infrastructure observability provides deep visibility into the health and performance of your entire infrastructure including servers, networks, containers, and cloud resources by analyzing telemetry data such as metrics, logs, and events in a unified platform.

2. What infrastructure components can be observed?

Infrastructure observability covers multiple layers of your IT environment, including servers, network devices, storage systems, virtualization platforms, containers, and cloud resources. Monitoring these layers together helps teams understand how infrastructure components interact.

3. Can infrastructure observability help with capacity planning?

Yes. Infrastructure observability analyzes historical performance data and resource utilization trends to forecast capacity requirements. This helps teams optimize infrastructure resources and prevent performance bottlenecks.

4. How does infrastructure observability support hybrid and cloud environments?

Infrastructure observability collects telemetry from on-premises hosts, VMs, containers, and cloud services through APIs, agents, and integrations. By analyzing resource metrics, system logs, and infrastructure events across these layers, teams can track workload performance, monitor resource utilization, and troubleshoot issues across distributed hybrid and cloud environments from a centralized platform.

5. How does infrastructure observability reduce IT costs?

Observability reduces IT costs by eliminating the need for multiple disconnected monitoring tools, automating routine operational tasks, and catching issues early before they escalate into costly outages. Less downtime, less manual effort, and fewer emergency fixes add up to measurable savings across your IT operations.

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