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Extract metrics from business events to increase the value of business analytics

Dynatrace

But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies.

Analytics 204
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Efficient SLO event integration powers successful AIOps

Dynatrace

The first part of this blog post briefly explores the integration of SLO events with AI. Consequently, the AI is founded upon the related events, and due to the detection parameters (threshold, period, analysis interval, frequent detection, etc), an issue arose. By analogy, envision an apple tree where an apple drops.

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Metric events: Set up anomaly detection based on your business needs

Dynatrace

Davis is the causational AI from Dynatrace that processes billions of events and dependencies and constantly analyzes your IT infrastructure. Customize monitoring for a specific area of your IT infrastructure. Dynatrace metric events offer the flexibility needed to customize your anomaly detection configuration.

Metrics 179
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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 272
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. However, in the real world, business-related data isn’t limited to metrics.

Database 228
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Business Flow: Why IT operations teams should monitor business processes

Dynatrace

Most business processes are not monitored. Business processes can be quite complex, often including conditional branches and loops; many business process monitoring initiatives are abandoned or simplified after attempting to map the process flow. First and foremost, it’s a data problem. Identify drops at each step.

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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

Effortlessly analyze IBM i Performance with the new Dynatrace extension Dynatrace has created a new version of its popular extension that is faster, offers better interactive pages, and includes more metrics, metadata, and analytics without having to install anything on your mainframe infrastructure. It’s all monitored remotely !