In this Cisco Cloud Observability demo, follow along as Doug Lindee uses the relationship view with correlated metrics to troubleshoot recurring health violations that identify the root cause.

Cisco AppDynamics Smart Agent will transform how you manage your agent lifecycle. It orchestrates your agent lifecycle tasks through an enhanced UI, or through an advanced CLI. Learn about the recently released Smart Agent and Agent Management for Cisco AppDynamics in the video below. It includes an overview and short demonstration of the primary use case: identifying agents that must be updated, and how to perform agent updates in bulk.

Unlock business and performance insights... See how Smart Agent dramatically simplifies application instrumentation through intelligent agent automation and lifecycle management — saving you time, accessing new capabilities and gaining business context. Simplify your agent management in a few clicks... Save time and effort installing and managing agents at scale with a centralized agent management console. AppDynamics provides a complete agent inventory, managed by Smart Agent, to quickly flag and upgrade out-of-date agents to support better version compliance and reporting.

Switzerland's leading telecom provider, Swisscom, managed to break through their internal silos and gain end- to-end application performance visibility. This led to on-track performance in reaching their goal of delivering 100% service quality to their customers. Understand how they did it, and which Cisco AppDynamics products they implemented to eliminate the barriers and obstacles blocking success.

In line with enterprise applications transitioning to the cloud, the need for simplified and efficient observability solutions is growing. AppDynamics’ cloud native response is an innovative platform designed to effortlessly onboard customer cloud environments, automate monitoring of ephemeral environments, and streamline MELT (Metrics, Events, Logs, and Traces) data correlation. By leveraging the power of data science—including machine learning and AI—it provides comprehensive solutions to challenges arising from applications, Kubernetes, infrastructure, or other cloud-native aspects in a multi-cloud world.