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 […]

In today’s digital economy, an application isn’t just part of a business — in most cases, it is a company’s business. That’s why performance problems create headaches for IT teams and significant obstacles to business growth and profitability. What’s more, outside of the enterprise, consumer expectations regarding application performance are changing. Today, people want flawless […]

Application performance monitoring (APM) tools have become essential to enterprises as their technologists deal with increasingly complex apps. Of course, as you might have experienced, dealing with a complex set of disparate tools across siloed teams doesn’t make things any easier. The answer: a one-stop solution containing everything you need — for complete visibility — […]

Today’s blog post is headed back to the basics. I’ve been using and talking about APM tools for so many years sometimes it’s hard to remember that feeling of not knowing the associated terms and concepts. So for anyone who is looking to learn the basics of what is APM, this blog is for you. […]

Boom! AppDynamics’ acclaimed Business iQ, which enables enterprises to see how their digital experience impacts customer behavior, revenue and business goals, has won the Best Data/Analytics Technology of the Year award at the Techies 2019 in London. Now in its fourth year, the Techies recognizes the best products, projects, teams and individuals in the UK […]

At AppDynamics, we are committed to making cloud performance data a first class part of our product. Below are some of the principles we use to guide our roadmap for cloud performance data. Connecting to Cloud Platforms Should Be Dead Simple Connecting to a cloud platform to ingest its performance data—whether it’s Amazon CloudWatch, Azure […]

Businesses are embracing the Internet of Things (IoT), which enables them to get closer to their users by delivering services right to the edge—think sensors on a remote oil pipeline, or the smartwatch or fitness band on your wrist—for a better customer experience. The number of IoT-connected devices worldwide is expected to nearly triple in […]

Initially introduced as a solution for enterprises looking to solve issues with industrial grade switches and gateways, the IoT is rapidly becoming a vast, global system of interrelated devices designed to address economic, environmental and societal challenges. From smart water solutions that leverage performance sensors to measure water use and quality, to devices that monitor […]

When we welcomed Perspica into the AppDynamics family in 2017, I knew we were going to change the application performance monitoring industry in a big way. And that’s why today is so important for us. Earlier this morning, we launched Cognition Engine – the next evolution of application performance monitoring that will give customers new […]