haproxystats | A HAProxy statistics collection program | Analytics library

by unixsurfer Python Version: 0.5.1 License: Apache-2.0

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

kandi X-RAY | haproxystats Summary

haproxystats is a Python library typically used in Analytics applications. haproxystats 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 haproxystats' or download it from GitHub, PyPI.

A HAProxy statistics collection program

Support

Quality

Security

License

Reuse

Support

haproxystats has a low active ecosystem.

It has 97 star(s) with 23 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 8 have been closed. On average issues are closed in 69 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of haproxystats is 0.5.1

Quality

haproxystats has 0 bugs and 0 code smells.

Security

haproxystats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

haproxystats code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

haproxystats 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

haproxystats releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

supervisor
Connect to a socket
Pull the stats from the server
Close the TCP connection
Send data to graphite
Open the connection to the server
Create a new connection
Retry decorator
Run graphite
Calculates the percentage of the metric per column
Process files with HAProxyStats
Process the HAProxy daemon stats
Validate configuration
Check for configured servers
Decorator to signal wall clock time
Invokes a signal
Loop forever
Set the filepath to the local store
Process a CREATE event
Put item into queue
Validate the metrics section
Check for read and write access permissions
Process an incoming move event

Get all kandi verified functions for this library.

haproxystats Key Features

No Key Features are available at this moment for haproxystats.

haproxystats Examples and Code Snippets

No Code Snippets are available at this moment for haproxystats.

Community Discussions

Trending Discussions on haproxystats

Haproxy stats related clarifications

pfSense + HAProxy – Reverse Proxy with multiple Services on one internal IP

QUESTION

Haproxy stats related clarifications

Asked 2019-Aug-08 at 20:31

Attached my stats page screenshot haproxystats

Here are my question / clarifications needed:

Under "session rate" - Cur - 13 - Does it mean 13 webrequests are being processed?
If you see under "sessions" - Cur - 250 Max 250 Limit 250 - What does it means?

I observed most of the time "sessions" - Cur values keep more than 200.

Can someone please clarify about these?

Thank you.

...

ANSWER

Answered 2019-Aug-08 at 20:31

"Cur" means the current rate per second of incoming connections. Whether they're being processed yet is shown in the drilldown metrics when you hover over that metric.
This shows the current rate per second is at 250, the most that value has historically reached is 250, and you have a limit on it of 250. Are you using "rate-limit session"?

Here is more information about what happens when the limit is reached: https://cbonte.github.io/haproxy-dconv/2.0/configuration.html#rate-limit

Source https://stackoverflow.com/questions/57158548

QUESTION

pfSense + HAProxy – Reverse Proxy with multiple Services on one internal IP

Asked 2018-Oct-02 at 15:14

currently I am using pfSense on my server with the HAProxy package, because I can easily configure it via the GUI.

I configured HAProxy to act as a reverse proxy corresponding to this guide: https://blog.devita.co/pfsense-to-proxy-traffic-for-websites-using-pfsense/

SSL offloading works like a charm. The problem I have is when I have more than one service (open port) on the same internal IP it seems not to be working.

Example:

I configure service1.domain.com for Service1 with port 8000 (10.100.10.101:8000) and it works flawlessly.
Now I need another port on the same machine (e.g. 10.100.10.101:8082) with another service. If I configure another backend pointing to the same IP but with a different port I can only reach the second servce (service2.domain.com) even if I access service1.domain.com.

My use case is that I am trying to set up Seafile which is using port 8000 for the web GUI and port 8082 for the fileserver. Right now I am able to access the web GUI but I am not able to upload, download or share files.

My configuration:

...

ANSWER

Answered 2018-Oct-02 at 15:14

I was able to solve my problem with the help of one awesome user over on reddit.

The first problem was that I misconfigured my frontend and thus had 3 default_backends. That was the reason why every services pointed to the same virtual machine. To solve it I just had to add the if condition corresponding to my ACL name.

The second problem was that my Service2 was shown as DOWN on the HAProxy stats page. I had to change the health check method from HTTP to Basic and that finally resolved everything.

This is the working configuration:

Source https://stackoverflow.com/questions/52576325

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

Vulnerabilities

No vulnerabilities reported

Install haproxystats

You can install using 'pip install haproxystats' or download it from GitHub, PyPI.
You can use haproxystats 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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