The AppDynamics and Cisco Edge in ML and AI
AppDynamics was an early pioneer for APM machine learning that delivers contextual insights about application and business health, predicts performance deviations, and alerts before impact. And now, together with Cisco, we are positioned to provide learnings from the richest, most expansive set of data in the industry, to help your business thrive in the digital-first world.
Baseline performance. Know normal.
Automatic, dynamically constructed performance baselines and alerts to code-level diagnostics.
Automatic discovery of what’s “normal” through dynamic performance baselining
Instant alerts only when thresholds are exceeded
Integrate with third party solutions like ServiceNow, PagerDuty, and Jira
Intuitive, event-driven data processing monitors escalate, determine, and remediate low-level incidents
Understand the root cause of any application performance issue
Troubleshoot quickly by automatic surfacing of metrics related to poor response time.
AppDynamics applies machine learning algorithms to automatically determine performance anomalies based on the average response time KPI for a node
Isolate metrics that contribute to poor performance and identify the likely degree of impact on the KPI for each metric
Get to the exact line of code, function, thread, or database call causing issues
Big and fast data
Ingest, process, and analyze millions of records per second as data arrives with millisecond precision.
Patented data model to correlate business events and metrics in the context of your business transactions
Process volumes of data as it arrives instead of at rest
Library of unsupervised machine learning algorithms and specialized domain knowledge & modeling
Analyze microservices deployed in elastic infrastructure
Correlate your application, container, and underlying host metrics across a time series.
Track microservice KPIs without worrying about the entire distributed business transaction that uses it
Visually patterns in performance outliers behavior over time for rapid diagnostics and resolution
Retain historical data about the microservice and infrastructure nodes and correlate it with past and future instances of the microservice
“With AppDynamics, our mean time to detection went from hours to less than 10 minutes, which is a huge win for us.”
Nemo Hajiyusuf, Software Engineering Manager, Alaska Airlines
See your applications like never before