What is Application Observability?

The term refers to the management of software application performance to ensure an expected level of service, as measured by performance metrics and user experience monitoring. APM solutions aim to detect and pinpoint application performance issues before real users are impacted.

Application Observability

Leverage best-in-class application performance monitoring (APM) to ensure optimal service performance and SLOs. Innovate faster, resolve issues instantly, and deliver more with less—all with telemetry in context.

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Keep applications running at peak performance

Prevent downtime, reduce MTTR, and maintain service quality across any environment.

AI-Powered Root Cause
Analysis

Cut through complexity to pinpoint and resolve issues at the source before users are impacted.
Complete Visibility Across Your Stack

Follow every request across services, clouds, and containers while automatically correlating traces, metrics, logs, and exceptions in context.
Real-time Performance Intelligence

Detect bottlenecks and optimize responsiveness at scale with intelligent baselines.

Built for cloud-native and enterprise stacks

Automatically unify traces, metrics, logs, exceptions, and security signals—whether from OneAgent or OpenTelemetry—into a single, AI-powered view.

Accenture achieved ~40% lower observability & log costs, a 90% faster MTTR, and boosted platform availability.

Leandro Araes Managing Director, Accenture

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Gain real-time insights into application behavior to optimize and resolve issues faster

Automate observability for cloud native workloads and microservices

Maintain reliability and meet performance goals across fast-changing environments with:

Real-time topology discovery of services, dependencies, and workload changes
Intelligent baselines for latency and error rates in serverless, containerized, and Kubernetes deployments
Health and availability tracking enriched with OpenTelemetry data
Early detection of risks in application components and supporting services

Explore Full Stack Observability

Improve team collaboration and eliminate war rooms

Break down silos with real time application insights and end to end performance analytics through:

AI-powered root cause and impact analysis across traces, logs, metrics, and events
Version and deployment analytics to track changes across your environment
Interactive exploratory analytics with advanced querying across massive data volumes
Complete contextual view combining telemetry from all sources for end-to-end observabilit

Explore End-to-End Distributed Tracing

Optimize database performance and application dependencies

Resolve database bottlenecks faster with full visibility into queries, health, and service relationships:

Health metrics and performance insights for every database instance
SQL statement execution analysis to identify slow queries
End-to-end dependency mapping from services to databases

Explore monitoring databases

Improve developer productivity

Identify the source of problems with seamless signal integration

Understand details in context across a unified dataset with:

Enterprise-scale end to end tracing
Powerful response time and error analysis
Logs in the context of traces
OpenTelemetry analytics powered by Grail

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Optimize application efficiency with code level insights

Reduce end user latency, sync, and locking issues with:

Continuous production profiling with thread, CPU, and memory allocation analysis
Deep code-level visibility down to individual methods for CPU usage and I/O bottlenecks
Memory insights to identify leaks, excessive allocations, and performance slowdowns
Real-time debugging data from production or any remote environment