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Observability & Analytics

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Gain insight. Optimize operations.

Data-driven analysis for modern IT architectures

1

IT systems become visible and manageable

With i-Vertix Observability, teams gain deeper insight into the internal state of IT systems, networks, and applications. The goal is to identify problems early, analyze root causes, and operate systems reliably.
2

End-to-End Transparency

i-Vertix provides a holistic view of infrastructure, applications, and services. Dependencies and correlations should become visible in order to assess the impact of changes on the overall system in a well-founded manner.
3

Logs, Metrics & Traces

We plan to centrally correlate telemetry data from logs, metrics, and traces in order to understand correlations and system states more quickly.
4

Early Anomaly Detection

The goal is to detect unusual patterns and deviations early so that potential problems are ideally identified before outages occur.
5

Data-Driven Decisions

Central dashboards and analytics should provide clear insights into system behavior and performance – as a foundation for well-informed decisions in operations and for the further development of IT.
6

Optimized Performance and Stability

Continuous analysis of system and application data makes bottlenecks visible early and strengthens performance, availability, and stability.

Full Observability: From Server to Cloud

  • Comprehensive monitoring: Covers 700+ devices, systems, and applications and over 5,000 sensor profiles.
  • Network devices: Real-time monitoring of your network infrastructure.
  • Server monitoring: Optimizes server performance and availability.
  • Operating systems: Ensures smooth operations across all platforms.
  • Applications: Continuous checking for errors and bottlenecks.
  • Cloud systems: Monitors cloud services for security and availability.
  • Virtualization: Maximizes performance of virtual environments.
  • Databases & Storage: Stable monitoring of databases and storage.

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Centralized Analysis of Logs, Metrics, and Traces

  • Log Analytics: Centralized collection, indexing, and analysis of log data from infrastructure, systems, and applications.
  • Metrics Monitoring: Real-time capture and evaluation of infrastructure and performance metrics.
  • Anomaly Detection: Automatic detection of deviations and unusual system patterns.
  • Root Cause Analysis: Correlation of telemetry data for rapid identification of causes.
  • Application Performance Monitoring: Detailed insights into performance, latencies, and errors in applications.
  • Container & Kubernetes: Transparency across container workloads, cluster states, and service dependencies.
  • Security Analytics: Analysis of security events and threats based on centralized telemetry data.
  • Dashboards & Visualization: Interactive dashboards for real-time analysis and system overview.

Try free for 30 days

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