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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 189
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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.

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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. The extension runs remotely from your Dynatrace ActiveGates and connects to your IBM i system.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details.

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Ginseng: keeping secrets in registers when you distrust the operating system

The Morning Paper

Ginseng: keeping secrets in registers when you distrust the operating system Yun & Zhong et al., Suppose you did go to the extreme length of establishing an unconditional root of trust for your system, even then, unless every subsequent piece of code you load is also fully trusted (e.g., NDSS’19.

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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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Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

Recent improvements in OneAgent runtime-data handling. Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Customizable location of large runtime files. See details below. See details below.

Storage 150