By unifying AIOps and application intelligence, AppDynamics Cognition Engine empowers enterprises to gain critical insights from trillions of metrics. Let's see it in action.

Come and learn the latest best-practices on artificial intelligence, cloud management, and the rise of the data-driven IT organization. Global public cloud spending worldwide has now topped $200 billion, according to Forrester Research. Organizations are moving to the cloud at a breakneck pace, looking for agility, flexibility, reliability and cost control.

AppDynamics recently announced its new Integration Partner Program, and BigPanda is proud to be an inaugural member. The ten select members of the program have all strategically integrated with AppDynamics in support of its AIOps-focused vision, based on Cisco’s Central Nervous System for IT. We’ve been partnering with AppDynamics for quite some time now, and our inclusion in the partner program is both a natural evolution and an endorsement of our leadership in IT Operations and AIOps.

May 2019 saw the announcement of our latest SaaS platform update - The OpsRamp Summer 2019 release which delivers several new AIOps innovations like OpsQ Observed mode, Topology context capabilities, out-of-the-box Kubernetes dashboards and an array of other features. We also launched our latest AIOps report - The State Of AIOps which gives deeper insights on how AIOps is being used by enterprises in IT today.

The OpsRamp Summer 2019 release delivers comprehensive features for modern infrastructure management with intelligent hybrid monitoring and contextual event correlation. The new release delivers AIOps innovations such as OpsQ Observed Mode and auto-alert suppression management along with enhanced network topology maps and new cloud native monitoring capabilities.

By 2021, IDC’s Worldwide CIO Agenda 2019 Predictions expects that 70% of CIOs will invest in machine learning and data science techniques for greater agility and innovation in IT operations management. In an AI-enabled future, enterprises will increasingly rely on advanced analytics to address a variety of IT operations use cases, including problem recognition, impact analysis, anomaly detection, root cause analysis, and incident resolution.