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Frictionless retail: A pandemic imperative for IT

Dynatrace

For most who work in the retail sector, the pandemic has been an unwelcome test of our ability to cope with disruption. In eight months, retailers offering curbside pickup increased from 7% to 44%, reflecting rapidly changing consumer preferences. Let’s illustrate a simple use case for a retail outlet. Dynatrace news.

Retail 133
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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 245
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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. By drilling down further on the workload level, you can gain valuable insights into the performance and potential problems of any containerized workload.

Retail 258
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. We also looked at a pizza chain example, connecting each customer order to the fulfillment process milestones that followed, including the handoff to the delivery agent.

Database 227
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Causal AI use cases for modern observability that can transform any business

Dynatrace

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. 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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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

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. Consequently, the company’s mean time to identify (MTTI) and mean time to resolve (MTTR) during peak retail seasons was too slow. A prominent U.S. Transparency.

Retail 237
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Extend business observability: Extract business events from online databases (Part 1)

Dynatrace

Dynatrace business events provide precise, real-time business metrics that support fine-grained business decisions and auditable business reporting. We also looked at a pizza chain example, connecting each customer order to the fulfillment process milestones that followed, including the handoff to the delivery agent.

Database 130