glances | htop alternative for GNU/Linux , BSD , Mac OS
kandi X-RAY | glances Summary
kandi X-RAY | glances Summary
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
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Top functions reviewed by kandi - BETA
- Parse command line arguments
- Enable a class
- Disable a class
- Get the value of a boolean option
- Return a message to be sent to the console
- Compute the global message of the tree
- Return whether two numbers are equal
- Creates a curse entry
- Load AMP configuration
- Update the views
- Update stats
- Decompress the given function
- Return a dict of install extras
- Return pid_max
- Update the details of the plugin
- Update the AMP process
- Load configuration from Glances configuration file
- Load all AMP scripts
- Execute a single action
- Load the server list from the configuration file
- Update the curses interface
- Generate view data
- Load the ports list from the configuration file
- Update the stats
- Start the Glances
- Load the web list from the configuration file
glances Key Features
glances Examples and Code Snippets
Lines of Code : 0License : Weak Copyleft (LGPL-3.0)
Copy[load]
critical=5.0
critical_action=python /path/to/foo.py
[fs]
warning=70
warning_action=echo {{mnt_point}} {{used}}/{{size}} > /tmp/fs.alert
[fs]
critical=90
critical_action_repeat=echo {{device_name}} {{percent}} > /tmp/fs.alert && p [amp_python]
enable=true
regex=.*python.*
refresh=3
[amp_python]
enable=true
regex=.*python.*
refresh=3
countmin=1
countmax=2
[amp_conntrack]
enable=false
refresh=30
one_line=false
command=sysctl net.netfilter.nf_conntrack_count;sysctl net.netfilter. [amp_dropbox]
# Use the default AMP (no dedicated AMP Python script)
enable=true
regex=.*dropbox.*
refresh=3
one_line=false
command=dropbox status
countmin=1 Community Discussions
Trending Discussions on glances
QUESTION
I have been having an inconvenience for several days in very specific points. For example, we send certain information to Google, some files are generated according to a script. but this one previously worked without problem, now the problem is that it finished, it creates the table, but it never finishes. ie the table is created and filled with data but it never ends.
This the query https://www.mycompiler.io/view/9HIJyGPY0Pq
NOTE: I put the link because the question is very long and stackoverflow does not allow more.
But also analyzing the server side and the resources that I have are the following
- OS: UBUNTU SERVER
- RAM: 50GB
- STORAGE: 1TB
- CPU: 16 CORES
and I´m monitoring with Glances but this send a message alert
...ANSWER
Answered 2022-Mar-20 at 01:38The plan is using img_products_unicas as the driving table and the engine is reading it whole; that's bound to be slow.
My guess is that using products could be better, since it has two filtering predicates. If you agree, there are a couple of tricks you can use:
Make sure the following indexes exist:
- products (status, price)
- files (product_id, main)
- img_products_unicas (product_id)
- categories (category_id) -- I would guess this one exists
If the query is still choosing
img_products_unicasas the driving table, try changing the join predicate (by adding+ 0 * f.product_id) to:
QUESTION
Hi im trying to parse out a screenplay and trying to capture (NAME) : (Dialogue) with regex. So far on regex 101 I have re.complie('(\w+)\n(.*)') but as you'll see in the image it falls flat for certain lines containing special characters. Any help is appreciated. (added text format to help reproducibility)
ANSWER
Answered 2021-Mar-05 at 20:55Some issues I see right away:
- You are not leveraging the fact that the character name is all caps. Use
[A-Z]+instead of\w+in your regex for that. - You are not using the
SingleLineregex option, so that's preventing the.from matching multiple lines.
QUESTION
I'm creating a Python script to send alerts when a remote server's metrics are high. The server is using the Glances library running in webserver mode and my local machine is sending requests to the server's endpoints.
My requests get a response from the endpoint /api/3/cpu/total but when I output the content of this response it's in bytes, which when converted to a string, isn't the response I get when curling.
I've looked at previous answers relating to my situation but the ones I found are either from a long time ago or aren't relevant to a text output.
My Function
...ANSWER
Answered 2021-Feb-11 at 12:39I added the header:
QUESTION
I have some clusters of virtual machines running on the OpenStack cloud. I want to be able to get each machine's resource usage metrics. I am looking for an effective way to do this, especially through an API.
I have used Glances (a cross-platform monitoring tool), however as far as I know it doesn't fit my requirement because virtual machines will be created on the fly, so there is no way to include the IP address of a new virtual machine to glances config (I am open to ideas on doing that if anyone knows how I can do it).
So I am thinking of creating an API that can run regularly, then send a "GET" request to get metrics at a regular interval. The challenge with this is, I do not know what the content of the API should be. really, I would love an already existing API that I can just deploy into the machines. I am using C# for programming.
...ANSWER
Answered 2020-Sep-08 at 09:00Ceilometer and Gnocchi are what you are looking for:
The Ceilometer project is a data collection service that provides the ability to normalise and transform data across all current OpenStack core components with work underway to support future OpenStack components.
Ceilometer is a component of the Telemetry project. Its data can be used to provide customer billing, resource tracking, and alarming capabilities across all OpenStack core components.
Gnocchi is the project name of a TDBaaS (Time Series Database as a Service) project started under the Ceilometer programme umbrella.
Both Ceilometer and Gnocchi actually offer APIs for the retrieval of metrics. Please take a look in the following links:
- https://docs.openstack.org/ceilometer/pike/webapi/v2.html#resources
- https://gnocchi.xyz/stable_3.0/rest.html
I hope this addresses your question properly.
QUESTION
I have a standard environment NodeJS application deployed on Google Cloud App Engine. The app was first deployed in Nov 2019. I'm now trying to update the code, but I'm no longer able to deploy via $ gcloud app deploy
- I've tried using the online console at https://console.cloud.google.com/appengine/quotadetails?cloudshell=true as well as the stand alone downloaded console tooling. Both fail.
- The application works fine on localhost. It communicates with the online data storage just fine.
- I've tried using
$ gcloud app deploy --verbosity=debugIt's not much help. - I've verified the login's and accounting information, thru the Google Cloud console in the browser. At first three glances everything seems whole.
Current Error messages:
ERROR: (gcloud.app.deploy) Error Response: [9] Cloud build f3780207-1c95-4b88-8ae0-574fc6ad515b status: FAILURE Build error details: {"error":{"errorType":"BuildError","canonicalCode":"INVALID_ARGUMENT","errorId":"51A062A0","errorMessage":"INFO FTL version node-v0.17.0\nINFO Beginning FTL build for node\nINFO FTL arg passed: exposed_ports None\nINFO ... lots of info removed here...
Two errors on the build log:
...ANSWER
Answered 2020-Aug-07 at 07:43So it turns out the billing account tied to this project was closed even thought the credit card on record was still valid. The error messages for $ gcloud app deploy when there is a billing account problem don't remotely direct the user to the actual issue.
I'd much prefer to see an error message like Oops, the account appears to be closed. Please check billing details... . Keep it simple, make it accurate. And I can't believe I'm the first person to be here.
I did pull a bug report at Google Issue Tracker. Lets see where that goes?
QUESTION
Trying to debug extremely high frontend page generation times on a WordPress 5.3.2 site.
Here is sample data from the debug bar for a frontend page:
...ANSWER
Answered 2020-Mar-14 at 19:44Per the suggestion of @user1597430, I checked the child theme files and found requests to a remote MySQL server in one of them. That code was added a long time ago, and the MySQL server is no longer active. Hence the delay and eventual timeout.
QUESTION
Why is it standard in Python to have the main() function and the if __name__ == '__main__' check at the end of the block of code? It also seems standard for the abstraction of the functions to follow the same pattern upwards. What I mean is that the definition of the function to be executed by main() is above the main() and the definition of the functions inside that are above and so on..
That seems odd because when one opens the module to read the code, it ends up starting with low-level code and moves up to higher level functions. Isn't it hard to grasp what the module is doing that way?
Why not do the alternative? Have the if __name__ check at the top followed by the main() function, and so on. This way, one quickly glances at what the main() function does and understands what the code is about.
ANSWER
Answered 2020-Feb-10 at 09:02The purpose of an if __name__ == '__main__': guard is to prevent a module from having side-effects when it's imported.
The fact that it is a module rather than a script implies that it will normally be used by other code importing the definitions from it, not executed directly. So given that, it makes sense that the functions, classes and constants appear first in the source code, since those are what users of the module will be importing (and hence, what they might want to see the source of).
So even if the code guarded by if __name__ == '__main__': doesn't rely on the definitions in the module already having been evaluated (which would be unusual), this part of the code is usually the least important to the users of the module, so it doesn't belong at the start of the file.
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Install glances
You can use glances 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.
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