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Conducting log analysis with an observability platform and full data context

Dynatrace

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. Traditional log analysis evaluates logs and enables organizations to mitigate myriad risks and meet compliance regulations. Grail enables 100% precision insights into all stored data.

Analytics 187
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

For retail organizations, peak traffic can be a mixed blessing. For organizations running their own on-premises infrastructure, these costs can be prohibitive. With so many variables in modern application delivery, organizations need an always-on infrastructure to deliver continuous system availability, even under peak loads.

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Dynatrace Named a Leader and Positioned Furthest for Vision and Highest in Execution in the 2023 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability

Dynatrace

Dynatrace also named a Gartner Customers’ Choice Customers also named Dynatrace a Customers’ Choice in the latest Gartner® Peer Insights™ Voice of the Customer: Application Performance Monitoring report, from November 2022. Director of infrastructure, software sector “ Strong technology and stronger people.

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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. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations.

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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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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. Application observability also helps to improve end-user experiences when combined with Dynatrace Digital Experience monitoring.

Retail 258
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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. A prominent U.S. Slow reaction times, in turn, caused failed customer transactions.

Retail 237