While APM offers useful monitoring, it wasn’t designed for today’s AI-driven, microservices-centric environments. Even worse, it comes with heavy deployment and spiraling costs. Embrace a modern, observability-based approach that:
Gain a single view into the health and performance of your applications, with automated data collection based on OpenTelemetry, out of the box dashboards and AI-driven root cause analysis.
App 360 surfaces production issues and accelerates troubleshooting with simplicity and cost efficiency, including:
Embrace an observability-based approach to applications monitoring and troubleshooting tailor made for today’s microservices, Kubernetes and ephemeral environments.
Use AI to surface production issues and accelerate troubleshooting, with a bird’s eye view into performance, detailed mapping and straightforward investigation paths that:
Enable engineering teams to continuously maintain the full view of system, applications and infrastructure performance needed to ensure optimal performance and uptime.
Powered by AI, App 360 reduces the time needed to isolate and understand service issues, then quickly drill into individual transactions to diagnose and troubleshoot problems by:
Improve code performance by gaining exhaustive visibility into the latency of every service and request, while correlating logs and metrics to better inform, speed and simplify response.