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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. Order processing workflow is triggered by customer orders.

Retail 198
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database.

Database 223
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. There are also many cases where business data—transactional, inventory, or financial—is at rest or in use , stored in a database.

Database 130
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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

Rural lifestyle retail giant Tractor Supply Co. Rural lifestyle retail giant Tractor Supply Co. discussed the 85-year-old retailer’s cloud migration journey and the importance of multicloud observability at Dynatrace Perform 2023. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 168
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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Java, Go, and Node.js

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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Traditional databases help users and machines find data with a quick search. Dynatrace news. What is log analytics? Peak performance analysis. Indexing overhead.

Analytics 211
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

2022 CISO Report: Retail sector – report Dive deep into the state of runtime vulnerability management in retail and how to protect your brand. Shifting left is the practice of moving testing, quality, and performance evaluation early in the development process, often before code is written.

Cloud 183