We have seen tremendous demand for our cloud expertise and end-to-end application performance monitoring solution for AWS that uniquely provides holistic visibility into the entire application architecture. In addition to driving sales in new regions across Europe and Asia, our AWS Marketplace business achieved over 300 percent growth with eight times more transactions this year over […]

Serverless computing burst onto the cloud scene with the promise of transforming cloud operating models, taking the pay-as-you-go economics of the cloud to their logical extreme with consumption-based billing. Simply put, if your code doesn’t run, you don’t pay. AWS Lambda, Amazon’s serverless compute offering, has seen explosive growth since its launch in 2014. The […]

AppDynamics monitoring for Pivotal Cloud Foundry (PCF) provides a simplified view into PCF infrastructure, enabling operators to proactively address issues that impact the performance of the platform and the apps running on it. The Risk of Information Overload Knowing what to monitor in a PCF deployment can be a challenge. PCF leverages a number of […]

It’s very challenging for companies today to undergo digital transformation without interrupting the daily flow of business. And yet the adoption of new digital technologies is required to keep pace with new, more nimble competitors in every marketplace. Like it or not, the modern consumer expects digital interactions. And if these interactions are not seamless, […]

AppDynamics Cognition Engine uses sophisticated machine learning to automate anomaly detection and significantly reduce MTTR for fast root-cause analysis. In this post, we answer some of your most frequently asked questions about it.   Is Cognition Engine available for SaaS and on-premises environments?   Currently it’s available for SaaS only, but we’re working hard to […]

When we talk about AppDynamics’ powerful Cognition Engine, we’re talking about the automatic detection of anomalies in business transactions. Cognition Engine enables you to pinpoint deviating application performance, isolate resource problems, and respond with automated actions. By leveraging a variety of specialized machine learning (ML) models, AppDynamics can detect anomalies in real time and at […]

Infrastructure failures can expose gaps in system monitoring and inspire a chaos engineering approach—essentially tossing the proverbial monkey wrench into a system to proactively find and fix problems before they lead to outages. If you’re running a Pivotal Cloud Foundry (PCF) environment on Amazon AWS, for example, you may get notification of failures via an […]

Stateless apps are easy, stateful are not. How about those apps in between? Those that cache things for performance reasons but can tolerate data loss. Those apps that can reobtain the data from some other highly available entity—the uptime of which is someone else’s headache. Let’s consider the AppDynamics ClusterAgent, a monitoring solution for various […]

To keep pace with dynamic scaling needs in the enterprise, AppDynamics has released its next-generation controller architecture. This new release allows users to rapidly on-board distributed applications into a single, scalable monitoring platform. Most importantly, these applications can constitute a large number of nodes, containers, serverless functions and other service components. Cloud Adoption Doesn’t Happen […]

Today, thanks to companies like Uber — which recently had the biggest IPO of 2019 — along with the likes of Amazon, Airbnb, and more, consumers can order a ride, buy groceries, transfer money, or book a place to stay — all in just a few clicks within an app. In this new world, how brands […]