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

Dynatrace

This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. The majority of costs are associated with data querying. A prominent U.S.

Retail 237
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Causal AI use cases for modern observability that can transform any business

Dynatrace

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Retailers can analyze how factors such as demand, competition, and market trends affect pricing.

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Happy 15th Birthday Amazon S3 -- the service that started it all

All Things Distributed

15 years is a long time in the world of technology. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business. and we needed the low cost with high reliability that wasn’t readily available in storage solutions.

Ecommerce 216
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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring is the practice of using tools and technologies to gather and evaluate metrics as a customer navigates an application to determine the quality of a user’s interaction with its digital touchpoints. What is digital experience monitoring? Endpoint monitoring (EM).

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

Dynatrace

This gives you all the benefits of a metric storage system, including exploring and charting metrics, building dashboards, and alerting on anomalies. Let’s take the example of a globally distributed retailer that collects revenue measurements every minute for all its shops worldwide.

Metrics 245
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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Consider a retail chain of stores or restaurants with tens of thousands of outlets. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. Walgreens has more than 9,000, and McDonald’s has more than 14,000 in the U.S.