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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

Analytics 289
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Site-Speed Topography

CSS Wizardry

When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. Google Analytics can show us individual slow pages, but doesn’t necessarily help us build a bigger picture of the site as a whole. Higher variance means a less stable metric across pages.

Speed 337
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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

With Dynatrace, customers can utilize the full set of Azure capabilities, including metrics and data from the Azure platform, and automatically identify workflow optimization opportunities. By prioritizing observability, organizations can ensure the availability, performance, and security of business-critical applications.

Cloud 263
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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. Next, let’s use the Kubernetes app to investigate more metrics.

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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.

IoT 264
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Helping customers unlock the Power of Possible

Dynatrace

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. What’s behind it all? The result?

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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.