Server Observability

Monitor and optimize server performance across on-premises, cloud, and hybrid environments.

Feature overview

Server Observability provides a unified platform to monitor, investigate, and fix server issues fast. Discover every host automatically, detect anomalies the moment they appear, and let our built-in AI engine analyze performance metrics and monitoring data to detect anomalies early and assist with faster root cause identification.

END-TO-END VISIBILITY

Monitor every layer of your server infrastructure from one console

Gain deep insights into your entire infrastructure with real-time tracking and comprehensive visualization.

Auto-discovery: Auto-discover every server and device on your network, then track availability, resource utilization, and performance in real time without switching between tools.
Hybrid Monitoring: Monitor events, resource trends, and service health across physical, virtual and cloud environments, catching issues before they impact users.
Topology Mapping: Troubleshoot faster with color-coded topology maps and NOC dashboards that instantly show what's failing and where.

End-to-End visibility across server infrastructure

PROCESS & SERVICE MONITORING

Know exactly what is running on every server at all times

Maintain uninterrupted service availability by keeping a close watch on critical applications and background processes.

Service Availability: Monitor critical application services and background processes to maintain uninterrupted service availability.
Resource Consumption: Gain visibility into process-level resource consumption to detect abnormal behavior quickly.
Automatic Detection: Automatically detect service failures, unexpected stoppages, or performance degradation and trigger alerts for rapid remediation.

Process and service monitoring dashboard

AI-BASED ALERTS & RCA

Identify issues quickly and determine their root cause

Leverage machine learning to stay ahead of potential outages and pinpoint the source of performance issues.

Anomaly Detection: AI-powered forecasting and anomaly detection flag deviations before they become outages, with intelligent thresholds that adapt to your environment's normal behavior.
Event Correlation: Leverage event correlation across performance metrics, logs, and events to pinpoint the root cause of server issues faster.
Contextual Insights: Accelerate troubleshooting with contextual insights that reduce mean time to resolution.

AUTOMATED REMEDIATION

Resolve issues faster with automated remediation

Reduce manual intervention and minimize downtime with powerful infrastructure automation.

Self-healing Actions: Automatically execute series of remediation actions such as restarting services or clearing temporary files when thresholds are breached.
Script Execution: Run scripts and automation workflows to resolve recurring infrastructure problems instantly.
Operational Efficiency: Automate repetitive operational tasks and reduce manual intervention.

FAQ

What is server observability?

Server observability is the ability to understand the internal state of your server infrastructure by analyzing metrics, logs, and events from a unified platform, enabling teams to detect, investigate, and resolve issues faster.

What is the difference between server monitoring and server observability?

Server monitoring tracks predefined metrics and alerts you when thresholds are breached. Server observability goes further by correlating metrics, logs, and events to give you full context into why an issue occurred, not just that it did.

Why is observability important for server performance?

Observability gives teams the visibility needed to detect anomalies early, identify root causes quickly, and prevent performance degradation from impacting end users, especially in complex, distributed infrastructure.

How does server observability help with root cause analysis?

By combining AI-powered forecasting with real-time syslog and event log analysis, server observability gives teams a complete picture of what happened, when, and why. Anomalies are flagged early, and correlated log data points directly to the source, cutting investigation time significantly.

How can observability help manage server infrastructure costs?

Observability helps manage server infrastructure costs by providing deep visibility into resource utilization and system behavior. This allows teams to identify underutilized resources, optimize workloads, and prevent costly downtime, leading to more efficient infrastructure management.

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