“Change is the only constant in life.” This is a quote often attributed to the Greek philosopher, Heraclitus. In the world of application performance monitoring, you know this to be true. Things are always changing. New technologies force you to come up with new ways and processes for doing things. And new challenges force you to develop new methods of solving old problems. Performance monitoring is an old problem.

A new MIT Technology Review report reveals how AIOps helps global leaders like FedEx drive innovation, reduce MTTR, and optimize business outcomes.

One of the joys of using the Ruby language is the many different ways that you can solve the same problem, it’s a very expressive language with a rich set of libraries. But how do we know which is the best, most efficient, use of the language? When we are talking about algorithms which are critical to the performance of your application, understanding the most efficient approach to take is essential.

The definition for APM (Application Performance Management) has evolved greatly over the past years. It has moved from specifically referring to the monitoring of an application’s experience, its code and the timing of its different building blocks, to a broader term that is used for anything related to the performance of the app. It also often includes all the related monitoring, log management and more.

We're delighted to announce that AppDynamics Serverless APM, which supports instrumenting AWS Lambda applications and microservices in Java, is now available to our SaaS customers through the AWS Marketplace.

Our growth on Amazon AWS, additional AWS Competency achievements and new Cloud Monitoring Pack fuel customer growth and success and solidify our position as the industry’s #1 APM vendor