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Full-Stack Observability for Hybrid IT Environments

Solarwinds
05/12/2026
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database, and user experience into a single, integrated, full-stack platform. This holistic approach helps you deliver insights, analytics, operational intelligence, and automation at a business service level. Collecting the necessary data is fast and intuitive. Observe everything from databases, hosts, and services to websites, network devices, and cloud infrastructure, all from the same dashboard. Each entity has a health score, which is calculated by combining the status of key metrics and anomalies. Our SaaS observability option makes it easy to group multiple entities together. This lets you track the overall health of your critical business services and all the entities associated with them. It provides multiple business level and technical health views through lists, dashboards, and dependency maps, so you can drill down into the granular details of each entity and pinpoint the root cause of performance issues. Topology maps are generated automatically and show the relationships and dependencies between entities. Get detailed analysis of logs, metrics, database queries, and distributed transaction traces, and leverage them to troubleshoot and resolve application, database, and infrastructure issues. SolarWinds Observability is designed to grow and scale to accommodate any type of environment you manage. It supports both open source frameworks and third-party integrations. Optimize performance, ensure availability, and reduce remediation time with SolarWinds Observability.

TL;DR

  • SolarWinds Observability SaaS unifies monitoring across network, infrastructure, applications, databases, and user experience into a single platform with business service-level insights.
  • The platform features automated health scoring for all entities, dynamic dependency maps showing infrastructure relationships, and comprehensive analysis of logs, metrics, and distributed traces.
  • Designed for hybrid environments, the solution supports open-source frameworks and third-party integrations while promising to reduce remediation time through unified visibility.

Summary

This product demonstration showcases SolarWinds Observability SaaS, a unified monitoring platform that consolidates network, infrastructure, application, database, and user experience monitoring into a single integrated solution. The platform emphasizes business service-level visibility through automated health scoring, dynamic dependency mapping, and comprehensive data collection across hybrid IT environments. Key capabilities include entity-based health tracking with anomaly detection, automated topology visualization showing relationships between infrastructure components, and detailed analysis tools for logs, metrics, database queries, and distributed traces. The solution is positioned as scalable and extensible, supporting open-source frameworks and third-party integrations while promising to reduce remediation time through its holistic approach to IT operations management. The demonstration highlights the platform's ability to provide both high-level business service views and granular technical details for root cause analysis.

Chapters

0:00 - Platform Overview
0:19 - Data Collection & Monitoring
0:48 - Health Views & Dependency Mapping
1:19 - Scalability & Integration

Key Quotes

0:10 "This holistic approach helps you deliver insights, analytics, operational intelligence, and automation at a business service level."
0:29 "Each entity has a health score, which is calculated by combining the status of key metrics and anomalies."
1:28 "It supports both open source frameworks and third-party integrations."

Categories:
  • » Cybersecurity » Network Security
  • » Cybersecurity » Cloud Security
  • » Data Protection
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Tags:
  • Cloud Security
  • Network Security
  • Security Operations
  • Demo
  • Technical Deep Dive
  • Full-stack observability
  • Hybrid IT monitoring
  • Business service management
  • Health scoring and anomaly detection
  • Dependency mapping
  • Log and metrics analysis
  • Distributed tracing
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