celery-cloudwatch | Uploads results of Celery tasks to AWS CloudWatch | Cloud Storage library

by SectorLabs Python Version: Current License: MIT

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

kandi X-RAY | celery-cloudwatch Summary

celery-cloudwatch is a Python library typically used in Storage, Cloud Storage, Amazon S3 applications. celery-cloudwatch 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 celery-cloudwatch' or download it from GitHub, PyPI.

Uploads results of Celery tasks to AWS CloudWatch.

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Quality

Security

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Support

celery-cloudwatch has a low active ecosystem.

It has 38 star(s) with 8 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 0 have been closed. On average issues are closed in 980 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of celery-cloudwatch is current.

Quality

celery-cloudwatch has 0 bugs and 0 code smells.

Security

celery-cloudwatch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

celery-cloudwatch code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

celery-cloudwatch is licensed under the MIT License. This license is Permissive.

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

Reuse

celery-cloudwatch 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.

celery-cloudwatch saves you 67 person hours of effort in developing the same functionality from scratch.

It has 175 lines of code, 11 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Monitor Celery events
Upload a log event
Get the sequence token associated with a log stream
Calculate the maximum number of bytes allocated to the virtual machine
Gets the timestamp in milliseconds
Run the monitor
Entry point for celery

Get all kandi verified functions for this library.

celery-cloudwatch Key Features

No Key Features are available at this moment for celery-cloudwatch.

celery-cloudwatch Examples and Code Snippets

No Code Snippets are available at this moment for celery-cloudwatch.

Community Discussions

Trending Discussions on celery-cloudwatch

Celery Redis backend- Make tasks in queue exist as items

QUESTION

Celery Redis backend- Make tasks in queue exist as items

Asked 2019-Mar-08 at 16:40

Current setup: celery running on docker containers (with our product's code) on an EC2 node, creating and processing tasks. Our backend/broker is Redis, running in AWS' elasticache.

Goal: being able to see the queue size at any given time (similar to flower's monitoring), hopefully through AWS CloudWatch, but not needed. The content of the tasks isn't pertinent, as I am familiar with making a backup of the redis instance, and can parse the backup using local tools to do any analysis needed. Short lived historical data is highly preferred (CloudWatch goes back 2 weeks, and has granularity of 1 min datapoints, this is quite nice).

Based on how I'm aware Flower works, Flower wouldn't be feasible to use due to the amount of security groups/restrictions that we currently have in place. Additionally flower is only monitoring while you're on the page, so there is no historical data saved.

Elasticache already has built in CloudWatch for number of items in redis. This seems to me the best route to achieve the goal. However currently the queue represents one item in redis (no matter how many tasks are in the queue). Here is a sample of the redis backup parsed to json:

...

ANSWER

Answered 2019-Feb-06 at 22:56

To see the queue length of a queue using a redis broker, just use llen in redis. e.g., llen celery.

Source https://stackoverflow.com/questions/54525396

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

Vulnerabilities

No vulnerabilities reported

Install celery-cloudwatch

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