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

Dynatrace

This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation. To close these critical gaps, Dynatrace has defined a new class of events called business events.

Analytics 203
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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. See the following example with BurnRate formula for Failure rate event.

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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 271
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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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Dynatrace enhances Business Analytics with business events powered by Grail

Dynatrace

Business events powered by our new Grail™ data lakehouse and by other Dynatrace platform technologies ensures the real-time precision that business and IT teams need to make data-driven decisions and improve business outcomes. Business events deliver the industry’s broadest, deepest, and easiest access to your critical business data.

Analytics 232
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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023.

Analytics 282
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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 130