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While most Linux system monitoring tools monitor only a single aspect of the system, there are a few tools with a broader scope. To get an overview and find out which part of the system to examine further, use these tools first.
hyptop provides a dynamic real-time view of a IBM Z hypervisor environment, using the kernel infrastructure via debugfs. It works with either the z/VM or the LPAR hypervisor. Depending on the available data it, for example, shows CPU and memory consumption of active LPARs or z/VM guests. It provides a curses based user interface similar to the top command. hyptop provides two windows:
ip is a powerful tool to set up and control network interfaces. You can also use it to quickly view basic statistics about network interfaces of the system. For example, whether the interface is up or how many errors, dropped packets, or packet collisions there are.
System control parameters are used to modify the Linux kernel parameters at runtime. They reside in /proc/sys/ and can be viewed and modified with the sysctl command. To list all parameters, run sysctl -a. A single parameter can be listed with sysctl PARAMETER_NAME.
The following is a simple example of basic RRDtool usage. It illustrates all three important phases of the usual RRDtool workflow: creating a database, updating measured values, and viewing the output.
Suppose we want to collect and view information about the memory usage in the Linux system as it changes in time. To make the example more vivid, we measure the currently free memory over a period of 40 seconds in 4-second intervals. Three applications that usually consume a lot of system memory are started and closed: the Firefox Web browser, the Evolution e-mail client, and the Eclipse development framework.
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Follow-up prompts were broad, affirming, and asked for deeper contextualized information. For instance, participants were asked to provide examples, as well as to discuss their thoughts, feelings, and actions in response to current socio-political events. Although no interview questions asked directly about politics, the election, or election stress, if participants mentioned politics, interviewers followed up via informal prompts.
Seventeen participants (89.5%) mentioned politics at least once during the course of their interview. From their responses, a total of 17 unique codes were generated, grouped into three broad themes. Broad themes were political fears and anxiety (five subthemes), beliefs about the future (eight subthemes), and strategies for coping (four subthemes). Each subtheme in this section is supplemented by illustrative quotes.
Participants in this study expressed a number of anxieties and concerns over the 2020 election and the political climate. The fact that almost all of our participants expressed concerns despite not being asked specifically about politics during their interview speaks to the significance of the election as a source of stress. In line with the minority stress model (Brooks, 1981; Meyers, 2003), participants feared loss of rights, legislative and procedural disenfranchisement from the election process, and increased militarization of the police, all of which were anticipated if then-President Trump was re-elected.
The authors thank John W Davis for assistance with references and review of the manuscript, and the Departments of Family Medicine and Preventive Medicine and Population Health at the University of Texas Medical Branch for support of this project.
SCW was responsible for the conception and design of the study. BNV obtained the data and conducted all analyses. SCW wrote the manuscript and both authors reviewed/edited the manuscript. Both authors are responsible for content and are guarantors. 041b061a72