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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log monitoring? What is log analytics? Log monitoring vs log analytics. Dynatrace news. billion in 2020 to $4.1

Analytics 209
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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? Primary digital experience monitoring tools.

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Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

However, if you take a look at the current real user monitoring offerings on the market, you’ll find that while most solutions provide decent ways of detecting and analyzing JavaScript errors, only a few offer additional visibility into other error types. Fine tune what Davis AI considers for alerting. What’s next.

Analytics 222
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Actionable insights with our Adobe Analytics integration and new web properties (referrer, UTM…)

Dynatrace

While Dynatrace provides software intelligence to accelerate your company’s digital transformation, web analytics tools like Adobe Analytics help you deeply understand your user journeys, segmentation, behavior, and strategic business metrics such as revenue, orders, and conversion goals. Google Analytics.

Analytics 146
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Ensure unrivaled customer experience with Davis AI-powered HTTP and custom error analytics

Dynatrace

However, if you take a look at the current real user monitoring offerings on the market, you’ll find that while most solutions provide decent ways of detecting and analyzing JavaScript errors, only a few offer additional visibility into other error types. Fine tune what Davis AI considers for alerting. What’s next.

Analytics 162
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Despite its benefits, serverless computing introduces additional monitoring challenges for developers and IT Operations, particularly in understanding dependencies and identifying issues in the end-to-end traces that flow through a complex mix of dynamic and hybrid on-premise/cloud environments. Simplify error analytics. So stay tuned!

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Enable full observability for Linux on IBM Z mainframe now with logs

Dynatrace

The challenge for hybrid cloud deployments is maintaining critical observability, which must include the full set of monitoring signals: logs, metrics, and traces. You can push a filtering change to filter out all unwanted logs from your central Dynatrace environment and apply the change automatically to all your monitored platforms.