We evaluate application performance, infrastructure health, and end-user experience within a unified view. By correlating metrics, logs, and traces with business impact, we support the identification of issues before they affect users and accelerate root-cause analysis.
The source of application slowness and errors can be difficult to isolate across code, databases, infrastructure, and external services. We monitor application transactions and service dependencies down to code level, making response times, errors, and performance bottlenecks visible. By correlating transaction traces with application dependencies, we help teams reach the root cause faster and shorten resolution times.
We combine metrics, logs, and traces in a common context to make it easier to understand what is happening—and why—in distributed and microservices-based environments. This visibility supports capacity planning, incident analysis, and business-impact assessment. Enabling teams to work from the same data accelerates incident analysis, capacity planning, and performance improvement.
We use real-user and synthetic testing data to measure the experience of web, mobile, and enterprise applications across different locations. We make visible the user impact of latency originating from the network, application, or third-party services. Evaluating real-user and synthetic results together helps identify relationships with specific locations, devices, or connectivity conditions.
