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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment.

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Dynatrace University: Over a decade redefining virtual learning for digital transformations

Dynatrace

But as team members come and go and the technology stack evolves, maintaining the skills necessary becomes a challenge. Over the last couple of years, the popularity of virtual learning has skyrocketed, and it is not just here at Dynatrace. Students can access guides and labs, interactive virtual servers, and more.

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The state of AI in 2024: Overcoming adoption challenges to unlock organizational success

Dynatrace

In fact, according to the recent Dynatrace survey , “The state of AI 2024,” the majority of technology leaders (83%) say AI has become mandatory. Alongside the numerous benefits, these organizations need to manage the increased risks the technology brings.

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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 180
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IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Dynatrace

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report. and/or its affiliates in the U.S.

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Why you need a unified, AI-powered log management solution

Dynatrace

In this type of environment, it’s difficult to apply traditional monitoring, virtually impossible to keep it consistently current, and it’s challenging to get the outputs you need to truly understand performance. They need to automate manual tasks, streamline processes, and invest in new technologies. during 2021–2026.

Analytics 143
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Complete Kubernetes observability with logs in topology context

Dynatrace

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. You can filter logs based on their content, source, or process technology. Service ownership details In addition, Dynatrace offers powerful log analytics in the Dynatrace Log Viewer.