Use Case

Application Performance Management


Application monitoring or application performance management, is the process of collecting log data to monitor application performance, report anomalies, and uncover bugs. It's an integral part of the full view of application performance, using analytics to uncover insights that directly affect user experience.

Risk Reduction

Identify and communicate application issues with automated dashboards

Bottom-Line Returns

Reduce investment required to monitor and communicate application performance

Customer Experience

Improve application performance and uncover insights on how to enhance product for customers


Business Problem

When the applications in your IT landscape don’t function correctly, performance suffers. Uncover poor-performing applications before they affect your users and customers by using application monitoring tools or application performance management (APM) to analyze logs and track anomalies. APM gives you insight into the queues, servers, databases, virtual machines, and other components that affect performance.

But as your IT environment becomes more diverse and the number of data sources grows, it becomes more difficult to spot trends and act on them in time. IT administrators want as much insight as possible in as few tools as possible. The more quickly they can identify servers that are likely to run out of resources and patterns that are emerging among log entries, the better they can keep users satisfied.

Analytics Solution

Fully integrated dashboards, powered by predictive analytics, monitor network components and help administrators pull together a complete overview of network status.

Analytics take the administrators a step beyond the past and the present of dashboards, alerts, and anomaly detection by providing insight into the future. Automated models for application monitoring help identify the precursors to costly outages. They extract historical examples, learn from them and identify predictive signals, then use machine learning models to look forward based on existing data. By identifying potential issues before they happen, companies can keep application performance problems from affecting the customer experience.

With Alteryx, you can:

  • Automatically track performance of applications or trigger upload to a log repository based on anomalies detected
  • Blend new data with previous data gathered to further enrich and update anomaly detection models
  • Power dashboards in Tableau or send out automated alerts to enable full visibility into application status

1 – Data Connection

Import logs automatically from applications, servers, virtual machines and other components

2 – Prep & Blend

Combine new data with historical data for full view of application performance history

3 – Automated Alerts

Send out automated alerts based on anomalies detected, or at regular intervals


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