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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

Analytics 186
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. Optimize resource allocation, identify bottlenecks, and improve overall system performance.

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Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

Dynatrace

With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios.

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Everything you ever wanted to know about Dynatrace OS support policies

Dynatrace

Do you keep an eye on the support of distributions and versions of operating systems within your environment? With this information, you can find answers to questions such as: Which operating systems and versions does Dynatrace support? Which operating systems and versions does Dynatrace support?

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Different CPU Times: Unix/Linux ‘top’

DZone

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. User CPU Time and System CPU Time.

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How to overcome the cloud observability wall

Dynatrace

These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system. Just as the code is monolithic, so is the logging.

Cloud 225
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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.