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.

Over the last five years, the Datadog platform has grown. We added Application Performance Monitoring to complement our core infrastructure monitoring product, Log Management, Synthetic and Real User Monitoring, and more. For an enterprise software platform to be successful, the whole has to be greater than the sum of its parts. In Datadog’s case, this means users must be able to connect different types of data, pivot seamlessly from one context to another, and follow the thread of an investigation wherever it might lead.

Learn how end-to-end monitoring and observability enable enterprises to break down team silos and deliver industry-leading experiences for their customers and achieve business benefits such as: Improved business resilience by identifying and resolving IT risks faster before they result in customer service outages Increased competitive standing with DevOps and shift-left best practices to accelerate software releases.

Datadog, the observability platform used by thousands of companies, runs on dozens of self-managed Kubernetes clusters in a multi-cloud environment, adding up to tens of thousands of nodes, or hundreds of thousands of pods. This infrastructure is used by a wide variety of engineering teams at Datadog, with different feature and capacity needs.