docker-stress | Simple docker stress test and monitoring tools | Testing library

by spotify Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | docker-stress Summary

docker-stress is a Python library typically used in Testing, Docker applications. docker-stress has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Simple Docker (stress testing and monitoring tools.

Support

Quality

Security

License

Reuse

Support

docker-stress has a low active ecosystem.

It has 122 star(s) with 20 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

docker-stress has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of docker-stress is current.

Quality

docker-stress has 0 bugs and 15 code smells.

Security

docker-stress has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

docker-stress code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

docker-stress is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

docker-stress releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

docker-stress saves you 114 person hours of effort in developing the same functionality from scratch.

It has 288 lines of code, 32 functions and 10 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed docker-stress and discovered the below as its top functions. This is intended to give you an instant insight into docker-stress implemented functionality, and help decide if they suit your requirements.

Start a new image
Execute a docker command
Check Docker CLI status
Escape a word
List all containers
Inspect a container
Destroy a container
Kill a container
Stop a container
Start a container

Get all kandi verified functions for this library.

docker-stress Key Features

No Key Features are available at this moment for docker-stress.

docker-stress Examples and Code Snippets

No Code Snippets are available at this moment for docker-stress.

Community Discussions

Trending Discussions on docker-stress

kubectl describe node does not report proper pod usage

pod.containers.spec.resources doesn't work (limits and requests) Kubernetes

QUESTION

kubectl describe node does not report proper pod usage

Asked 2018-Jun-28 at 12:20

I have a k8s v1.10.2, 3x3, cluster which I was trying to stress. I put together the command:

...

ANSWER

Answered 2018-Jun-28 at 12:20

kubctl describe is used to show your current node configuration.

For example:

Source https://stackoverflow.com/questions/51072449

QUESTION

pod.containers.spec.resources doesn't work (limits and requests) Kubernetes

Asked 2018-Jun-20 at 12:50

I'm trying to use resources limits and requests in the definition of my pod but It's like if the scheduler doesn't want to apply my specifications :

...

ANSWER

Answered 2018-Jun-20 at 12:50

I think it's just duplication issues of same parameters.

Source https://stackoverflow.com/questions/50944985

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install docker-stress

You can download it from GitHub.
You can use docker-stress like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: