collector-fluentd | A large-scale system metric collecting tool for fluentd
kandi X-RAY | collector-fluentd Summary
kandi X-RAY | collector-fluentd Summary
collector-fluentd is a Python library. collector-fluentd has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However collector-fluentd build file is not available. You can download it from GitHub.
A distributed metric collection framework using fluentd protocol.
A distributed metric collection framework using fluentd protocol.
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Quality
Security
License
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Support
collector-fluentd has a low active ecosystem.
It has 8 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
collector-fluentd has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of collector-fluentd is 1.5.2
Quality
collector-fluentd has no bugs reported.
Security
collector-fluentd has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
collector-fluentd 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.
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collector-fluentd releases are available to install and integrate.
collector-fluentd has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed collector-fluentd and discovered the below as its top functions. This is intended to give you an instant insight into collector-fluentd implemented functionality, and help decide if they suit your requirements.
- Format the usage string
- Format the arguments for the given action
- Returns a formatter function for the given action
- Add an argument to the parser
- Add an action to the actions list
- Check if options conflict with this action
- Add all actions to a container
- Adds a mutually exclusive group
- Adds an argument group
- Run a shell command
- Close the socket
- Call a command
- Split command
- Called when a job is started
- Collect stats from the socket
- Returns a list of arguments matching the given pattern
- Return the number of arguments that match the given action
- Logs finished job
- Deprecated
- Format text
- Parse arguments
- Sends all cached messages to a remote server
- Add subparsers
- Generate feedback
- Execute all plugins
- Find memcached port
Get all kandi verified functions for this library.
collector-fluentd Key Features
No Key Features are available at this moment for collector-fluentd.
collector-fluentd Examples and Code Snippets
No Code Snippets are available at this moment for collector-fluentd.
Community Discussions
Trending Discussions on collector-fluentd
QUESTION
Why fluentd grep exlude filter doesn't work?
Asked 2017-May-05 at 07:34
Why isn't this filtering?
...ANSWER
Answered 2017-May-05 at 07:34Unfortunately, the fluentd grep filter does not currently support nested value.
This is known issue. See: https://github.com/fluent/fluentd/issues/902
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install collector-fluentd
You can download it from GitHub.
You can use collector-fluentd 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.
You can use collector-fluentd 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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