AppDynamics, a Cisco company, unveiled Cognition Engine, the company's next generation of application performance monitoring.
Cognition Engine builds on AppDynamics’ baseline, transaction snapshots and business analytics to deliver application performance diagnostics and automated root-cause analysis that has the ability to reduce resolution times from minutes to seconds. Cognition Engine extends AIOps to the application, introducing new levels of insight that empower modern businesses with a competitive edge in the digital economy.
“Cognition Engine turns traditional APM on its head. Rather than chasing symptoms, the top suspects for root cause are automatically surfaced. That level of insight completely changes the game for IT, freeing them of tedious tasks and empowering them to focus on creating business impact,” said JF Huard, CTO Data Science at AppDynamics. “Cognition Engine ultimately empowers enterprises to embrace an AIOps mindset – valuing proaction over reaction, answers over investigation and, most importantly, never losing focus on customer experience or business performance.”
At Cognition Engine’s core is AppDynamics’ Business Transaction and machine learning expertise from Perspica, which joined the AppDynamics team in 2017. The integration of these technologies is the foundation of AppDynamics Cognition Engine:
- Anomaly Detection: Cognition Engine constantly evolves, training and evaluating data in real-time as it enters the system using streaming analytics technology. It ingests, processes, and analyzes millions of records per second automatically understanding how metrics correlate and instantly knowing when there’s a break in correlation among datasets. Because it automatically evaluates healthy behavior, there is minimal need for user configuration out of the box. Problems can be detected in minutes, even hours before systems that rely on traditional thresholding, giving IT a head start on the fixing the problem before its customers notice.
- Automated Root Cause Analysis: To alleviate hours of tedious manual analysis spent on curated data, Cognition Engine automatically isolates metrics that deviate from normal behavior, as determined by machine-learned correlation, to present the top suspects of root cause for any application issue. By clearly showing the impact of those deviating metrics on the poor performance for mission critical Business Transactions, it drastically reduces resources spent on identifying root causes and the need for experience in performance monitoring.
Cognition Engine is available to SaaS customers at no additional cost.
The Latest
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...
An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...
Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...
In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...
Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...
As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...