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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 176
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Software development. 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. Retailers can analyze how factors such as demand, competition, and market trends affect pricing.

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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

Rural lifestyle retail giant Tractor Supply Co. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., discussed the 85-year-old retailer’s cloud migration journey and the importance of multicloud observability at Dynatrace Perform 2023.

Cloud 168
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RSA Guide 2023: Cloud application security remains core challenge for organizations

Dynatrace

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 183
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

The rise of cloud-native microservice architectures further exacerbates this change. retail giant, initially tied to an ingest-centric pricing vendor, found itself manually curbing costs by limiting daily log ingestion to 3 TB and reducing retention periods. A prominent U.S. 1 million in savings. Ingest and process. Transparency.

Retail 233
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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. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.

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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. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.