By monitoring the end-to-end user experience, IT professionals gain keen insights into application performance from the customer's perspective.

Business innovators are embracing the Internet of Things (IoT) to reinvent and enhance the customer experience, improve operational efficiency, and develop new business models. But the IoT brings a host of new IT challenges.

For today's global businesses, data privacy is no longer just about compliance—it’s integral to maintaining competitiveness and customer satisfaction.

Here's how an agreement between Japan and the European Union will impact the safety of data transfer.

Cutting-edge serverless technologies and old-school mainframes have more in common than you'd think: Each can be a black box that blocks deep insights.

Gartner's 2019 Magic Quadrant highlights AppDynamics Business iQ as a robust differentiator in the application performance monitoring market.

By augmenting operations teams, AIOps enables organizations to preemptively ensure that applications, architectures and infrastructures are ready for rapid digital transformation.

Built-in AI/ML—such as in AppDynamics APM—delivers value by activating the cognitive engine of AIOps to address anomalies.

To connect every team in your organization, you need a 'wrapper' that ties the entire organization together, including the lines of business.

Quantifying the value of successful AIOps deployment requires tracking subsidiary metrics within the industry default of mean time to resolution (MTTR). This post breaks out the metrics that form MTTR and divides them into two categories: problem and solution.