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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246
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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Dynatrace Grail  is a data lakehouse that provides context-rich analytics capabilities for observability, security, and business data. Therefore, we filtered them out with DQL.

Analytics 197
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A look at the GigaOm 2024 Radar for Cloud Observability

Dynatrace

With the Dynatrace platform, which report author Ron Williams describes as “an all-in-one observability, security, analytics, and automation platform for cloud-native, hybrid, and multicloud environments,” all your data is stored in one massively scalable data lakehouse. Both of these are critical as companies modernize to intelligence.

Cloud 237
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IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Dynatrace

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report.

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Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability

Dynatrace

AWS resource tags in Dynatrace unlock a common perspective: AWS resource tags are a popular method used for managing, identifying, and organizing AWS resources. Figure 2: Automatically imported AWS Resource tags on your AWS dashboard. Leverage the latest improvements today.

Lambda 299
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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. That’s where causal AI can help.

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Track Element Viewability With JavaScript Or Google Tag Manager

The Polyglot Developer

In this tutorial we’re going to take a look at tracking if users have seen a particular image or set of images using simple JavaScript as well as an alternative method that links directly with Google Analytics (GA) called Google Tag Manager (GTM).

Google 52