Full-stack observability to detect issues faster and improve reliability
Unify observability across your stack
IBM Concert® Observe unifies application, infrastructure and network observability into a shared operational view. By correlating telemetry and mapping dependencies across hybrid environments, it helps teams identify issues faster, reduce operational complexity and maintain resilient application performance.
Key capabilities
- Full-stack application observability
- Database observability
- AI/LLM observability
- Infrastructure observability
- Network observability
- Digital Experience Monitoring
- Synthetic monitoring
Full-stack observability
Automatically map application components in real time and trace requests across microservices, containers and cloud environments. With code-level visibility, teams can detect issues early, identify impact instantly and help reduce resolution time.
Database observability
End-to-end database performance monitoring identifies slow queries, bottlenecks and resource issues. A clear line between database activity and application performance helps teams diagnose issues and resolve problems fast.
AI agent/LLM observability
Gain visibility into generative AI and LLM applications, including prompts, responses, latency and dependencies. That full-context view helps detect anomalies, analyze model behavior and ensure reliable AI performance across complex environments.
Infrastructure observability
Monitor infrastructure across hosts, containers, Kubernetes and cloud environments. By correlating metrics, logs and traces, teams can get a full picture of system health, detect issues early and maintain performance at scale.
Network observability
Turn raw network data into real-time, actionable insights to prevent costly disruptions. Application-centric observability provides full view of network performance, enabling teams to prioritize critical services and optimize operational outcomes.
Digital experience monitoring
Capture real user interactions across web and mobile applications by collecting performance metrics and errors data. This helps analyze customer impact to prioritize improvements that enhance the digital experience.
Synthetic monitoring
Simulate real interactions across applications and networks to identify issues before they impact users. Continuously testing availability and performance from both application and networks perspectives helps ensure reliable, end-to-end experiences across environments.
