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Customer expectations for retail: Beyond digital experience

Dynatrace

This is typically the first thing that comes to mind for IT professionals working in the retail industry when evaluating holiday readiness. CEOs of hybrid retailers prioritize e-commerce growth over in-store shopping, investing heavily in their online storefronts. That lesson remains important. Multi-channel logistics.

Retail 208
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Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Monitoring business processes is one thing organizations can do to help improve the key business processes that enable them to provide great customer experiences.

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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

These environments are marked by continuous delivery of microservice updates into production, the abstractions inherent in Kubernetes environments, and challenges associated with applications distributed across multicloud environments—often with performance and security risks. Dynatrace was recognized as Compuware from 2010-2014.

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What is real user monitoring (RUM)?

Dynatrace

Real user monitoring can help you catch these issues before they impact the bottom line. What is real user monitoring? Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. How real user monitoring works.

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Black Friday traffic exposes gaps in observability strategies

Dynatrace

If the mantra in sales is “Always be closing,” the mantra for online retail storefronts is “Always be online.”. Peak loads can overload and crash retailer websites and derail customer interactions. Customer experience has become paramount for retailers, as visitors demand instant responses — especially during times of high volume.

Traffic 197
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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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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. Application observability also helps to improve end-user experiences when combined with Dynatrace Digital Experience monitoring. Data is integrated seamlessly with Kubernetes topology.

Retail 264