Cognition Engine extends AppDynamics’ leadership in machine learning and automation for APM, helping customers achieve the quickest route to remediation and optimization.

The future of performance monitoring could involve AIOps. Learn more about what the term means, how it impacts the enterprise, and read about use cases.

AppDynamics surveyed 6,000 global IT leaders about application performance monitoring and AIOps. Read on to discover the trends shaping the space.

As engineers, we are constantly bombarded with complex machine data. In order to better monitor and troubleshoot our environments, we must analyze and gain an accurate understanding of this data to best evaluate how our systems are performing and combat any issues that may occur. Yet, sifting through this data while managing the added intricacies of serverless architecture, microservices, containers, and other technologies make our jobs increasingly difficult to navigate.

Access Gartner’s exclusive research report to find out how AIOps—when used together with APM—plays a pivotal role in driving better business outcomes.

In a previous post, I talked about the potential of AIOps and why true AI (Artificial Intelligence) hasn’t had much impact in the monitoring space yet. However, I believe Algorithmic IT Operations can help and will share the path LogicMonitor is taking to get there in this post.

AIOps is the application of analytics and machine learning to automate some aspects of DevOps and IT operations management. Like all new technologies, it may take time to discover the best ways to get practical results. However, AIOps is already showing a lot of promise in three key uses cases.

MOUNTAIN VIEW, Calif. – May 16, 2018 - BigPanda Inc., provider of the first Autonomous Digital Operations solution, today introduced new capabilities to its cloud platform for IT Operations, including two major product components. First, BigPanda uniquely features Open Box Machine Learning, a core component of its platform that offers unrivaled transparency, trust and control to enterprise IT customers.

A wave of digital transformation is rolling in—a wave of universal connectivity, personalization, and adoption of intelligent technologies that many organizations have never navigated before. Adopting digital technologies often entails restructuring business verticals and scaling up data processing. One such vertical, IT operations (IT Ops), is finding it challenging to manually handle and process huge volumes of complex data.