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How digital experience monitoring helps deliver business observability

Dynatrace

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. What is digital experience monitoring? Primary digital experience monitoring tools.

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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 245
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Data is integrated seamlessly with Kubernetes topology. Signals are uniform, regardless of origin.

Retail 258
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. We also looked at a pizza chain example, connecting each customer order to the fulfillment process milestones that followed, including the handoff to the delivery agent.

Database 227
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The new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Monitoring with ?the We ’ve also been monitoring U. the Dynatrace®? Digital Experience Management?

Website 215
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Traditional monitoring provides correlations between events, but causal AI goes further by inferring the probabilistic causal relationships between them. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers.

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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

What stands out as an imperative now is the urgent need for vendors to shift their focus back to customers and resist the temptation to capitalize on the growing demand for extensive data management and monitoring in complex IT environments. For example, this includes the following: Click to query. A prominent U.S.

Retail 237