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How to Integrate AppDynamics with Slack

Using AppDynamics with Slack, your IT and application teams will always be one step ahead of potential issues with your applications, business transactions, internal and external dependency services, and infrastructure running on-prem and in the cloud. Many of our customers using Slack want to be able to quickly alert a Slack channel when AppDynamics detects a customer-impacting performance issue with a critical application. If you’re one of those customers, we have great news for you: the integration is now available and easy to set up.

Nouveal e-santé Delivers Rapid Innovation to Take On COVID-19 Contact Monitoring

AppDynamics helps Nouveal e-santé and public health institutions to scale its Covidom app, allowing safe and accurate remote monitoring of patients with COVID-19. Covidom is an app that allows remote monitoring of patients carrying COVID-19 created specifically to simplify remote medical monitoring, improve service logistics for individuals in quarantine and enable contract tracing for people who had come in contact with or been recently diagnosed with COVID-19.

AppDynamics Micro Demo: Deep Code Insights

This demo shows how DCI enhances AppDynamics visibility to further reduce the time between issue identification and issue resolution. By extending AppDynamics’ existing code-level diagnostics, DCI provides a real-time, “read-only” view of the application so that you can collect critical debugging data to diagnose complex code issues without having to reproduce issues in development or test.

AppDynamics Micro Demo: Cloud Migration

Check out how AppDynamics Application Intelligence Platform provides real-time, automatic insight into application issues, resource dependencies and migration success, helping enterprises migrate confidently to the cloud. I.T Ops leaders and their teams use AppDynamics to detect end-user experience issues automatically, derisk migration with dependency visibility and report migration success immediately. Unlike other solutions, machine-learning means that important business and technical metrics are known, while Business iQ shows migration benefits immediately.