Anomaly Detection and Root Cause Analysis with AppDynamics Cognition Engine

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 […]

ClusterOps Challenges and How AIOps Can Help

The container revolution may be only a few years old, but it shows no signs of slowing. Organizations are placing an ever-widening variety of workloads in containers, and managing them with resource managers like Mesos and container orchestrators like Kubernetes. Cluster operations, or ClusterOps, is a discipline that evolved from middleware engineering. It helps enterprises […]

AIOps—Luxury or Necessity?

Artificial intelligence (AI) and machine learning (ML) were first discussed by classical philosophers attempting to describe how the human brain works as a mechanical manipulation of symbols. Fast forward to the 1940s, and scientists began to explore AI and ML with mathematical reasoning and the introduction of the programmable digital computer. But even after the […]

Successfully Deploying AIOps, Part 3: The AIOps Apprenticeship

Part one of our series on deploying AIOPs identified how an anomaly breaks into two broad areas: problem time and solution time. Part two described the first deployment phase, which focuses on reducing problem time. With trust in the AIOps systems growing, we’re now ready for part three: taking on solution time by automating actions. […]

Successfully Deploying AIOps, Part 2: Automating Problem Time

In part one of our Successfully Deploying AIOps series, we identified how an anomaly breaks into two broad areas: problem time and solution time. The first phase in deploying AIOps focuses on reducing problem time, with some benefit in solution time as well. This simply requires turning on machine learning within an AIOps-powered APM solution. […]

Successfully Deploying AIOps, Part 1: Deconstructing MTTR

Somewhere between waking up today and reading this blog post, AI/ML has done something for you. Maybe Netflix suggested a show, or DuckDuckGo recommended a website. Perhaps it was your photos application asking you to confirm the tag of a specific friend in your latest photo. In short, AI/ML is already embedded into our lives. […]

Think 2019: Embracing the Cognitive Enterprise

Twenty years ago, companies were just beginning to leverage the internet to revolutionize the way they do business. Much has changed since then, of course, with a scrappy online bookseller emerging to become the world’s second largest e-commerce company and one of the biggest cloud providers—not to mention having one of the highest market caps […]

AppDynamics and Cisco To Host Virtual Event on AIOps and APM

To mark the two year anniversary of Cisco’s intent to acquire AppDynamics, the worldwide leader in IT, networking, and cybersecurity solutions will join AppDynamics for a one-of-a-kind virtual launch event on January 23, 2019. At AppDynamics Transform: AIOps and the Future of Performance Monitoring, David Wadhwani, CEO of AppDynamics, will share what’s next for the […]

Gartner Report Reveals Why Your APM Strategy Needs AIOps

Is application performance monitoring (APM) without artificial intelligence a waste of resources? It turns out, the answer may be yes. Gartner’s newly released report, Artificial Intelligence for IT Operations Delivers Improved Business Outcomes, reveals that using artificial intelligence for IT operations (AIOps) in tandem with APM might be the key to optimizing business performance. So […]

AWS re:Invent Recap: Freedom for Builders

AWS re:Invent continues to build momentum. Amazon’s annual user conference, now in its seventh year, took place last week in Las Vegas with more than 50,000 builders on hand to share stories of cloud successes and challenges. The atmosphere was exciting and fast-paced, with Amazon once again raising the bar in the public cloud space. […]