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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. billion by 2026 according to numerous market research reports. What is log analytics? Log monitoring vs log analytics. Dynatrace news.

Analytics 264
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Privacy Spotlight: Easily comply with data subject rights in Dynatrace

Dynatrace

“By 2026, fines due to mismanagement of subject rights will have increased tenfold from 2022 to total over $1 billion.” What’s next We’re working on making privacy rights handling even easier by making log deletion in Grail available in the Privacy Rights app. and/or its affiliates in the U.S.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

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

Dynatrace

The discipline shows promise: According to Gartner, 80% of software engineering organizations “will establish platform teams as internal providers of reusable services, components, and tools for application delivery” by 2026. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

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Software Testing Trends 2021 – What can we expect?

Testsigma

And is projected to rise by more than 6 percent at CAGR(Compound Annual Growth Rate) between 2020 and 2026? Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring.