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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

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The top four log analytics and log management best practices

Dynatrace

GartnerĀ® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

billion by 2026 according to numerous market research reports. This includes troubleshooting issues with software, services, and applications, and any infrastructure they interact with, such as multicloud platforms, container environments, and data repositories. In fact, the global log management market is expected to grow from 1.9

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