article thumbnail

Business Flow: Why IT operations teams should monitor business processes

Dynatrace

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

article thumbnail

Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Practical business process monitoring for real-time business observability

Dynatrace

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. The Business Flow app Business Flow, built with AppEngine, simplifies the configuration, monitoring, and analysis of business processes.

article thumbnail

What is application security monitoring?

Dynatrace

With the pace of digital transformation continuing to accelerate, organizations are realizing the growing imperative to have a robust application security monitoring process in place. What are the goals of continuous application security monitoring and why is it important?

article thumbnail

Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. AI observability and data observability The importance of effective AI data analysis to organizational success places a burden on leaders to better ensure that the data on which algorithms are based is accurate, timely, and unbiased.

article thumbnail

Ensure application resilience with AI-driven application health analysis

Dynatrace

Even in higher education, IT staff depend on key visibility into their complex ecosystems of applications and infrastructure to monitor and manage application health. They also explored how Dynatrace is advancing visibility and health monitoring with new AI-driven health view features. ” One major gap was application health.

Education 214
article thumbnail

Dynatrace expands root cause analysis to Kubernetes with Davis AI

Dynatrace

Triage and diagnosis become a long process of hunting for clues. With the release of Dynatrace version 1.249, the Davis® AI Causation Engine provides broader support to subsequent Kubernetes issues and their impact on business continuity like: Automated Kubernetes root cause analysis. Incidents are harder to solve.

Storage 299