nagios-mesos | Nagios checks for Mesos clusters | Job Orchestrator library

by opentable Python Version: 0.2.6 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | nagios-mesos Summary

nagios-mesos is a Python library typically used in Data Processing, Job Orchestrator applications. nagios-mesos has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nagios-mesos' or download it from GitHub, PyPI.

Nagios checks for Mesos clusters

Support

Quality

Security

License

Reuse

Support

nagios-mesos has a low active ecosystem.

It has 16 star(s) with 10 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1439 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nagios-mesos is 0.2.6

Quality

nagios-mesos has 0 bugs and 0 code smells.

Security

nagios-mesos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nagios-mesos code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nagios-mesos 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

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

Deployable package is available in PyPI.

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

nagios-mesos saves you 43 person hours of effort in developing the same functionality from scratch.

It has 115 lines of code, 5 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Tries to probe the server
Run the Mesos plugin .
Build a redirect URL .
Initialize the connection .
Parse a requirements file .

Get all kandi verified functions for this library.

nagios-mesos Key Features

No Key Features are available at this moment for nagios-mesos.

nagios-mesos Examples and Code Snippets

No Code Snippets are available at this moment for nagios-mesos.

Community Discussions

Trending Discussions on Job Orchestrator

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

QUESTION

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

Asked 2020-May-24 at 13:58

im trying to follow those tutorials:

https://sandervandevelde.wordpress.com/2018/11/06/getting-started-with-opc-ua-on-azure-iot-edge/ and https://docs.microsoft.com/en-us/azure/iot-accelerators/howto-opc-publisher-run

to bring data from an opc-ua server to the azure cloud.

I have already successfully played through the https://docs.microsoft.com/en-us/azure/iot-edge/quickstart tutorial.

I think maybe the OPCPublisher does not find the configuration file?!

I set up the configuration file under C:\iiotedge\pn.json (with changed ip):

...

ANSWER

Answered 2020-May-24 at 13:58

Was facing the same issue. It looks like the container is not running in appdata but in app. I've changed the createOptions to:

Source https://stackoverflow.com/questions/61938039

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

Vulnerabilities

No vulnerabilities reported

Install nagios-mesos

You can install using 'pip install nagios-mesos' or download it from GitHub, PyPI.
You can use nagios-mesos 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 .

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