ara
django-celery
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| ara | django-celery | |
|---|---|---|
| 82 | 3 | |
| 1,793 | 1,514 | |
| 1.2% | 0.0% | |
| 6.8 | 0.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ara
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With what should I use ansbile?
Look into AWX as an alternative to Tower. If you just want better reporting on runs, check out ARA or callback plugins.
- Show HN: ARA Records Ansible and makes it easier to understand and troubleshoot
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Ansible-Semaphore vs Ansible AWX
Also worth considering is ARA for playbook reporting, and then whatever you want for orchestration (Jenkins, Azure Devops, Rundeck, etc).
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Zabbix to monitor ansible
Why not use ara?
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How would I get a list of IP addresses of failed hosts and details?
For general recording of playbook activity with a web dashboard, ARA works really well.
- Planning on writing a callback plugin - is there a unique variable to identify a particular play being run?
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A way to log which user excuted a playbook
If you don’t want any UI / access control then you can also look at ARA - https://ara.recordsansible.org This works as a callback plugin to capture the job run data.
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Benchmarking ansible-core 2.11 vs 2.14 and python 3.9 vs 3.11 along with ara's database backends
I'm not sure how to interpret running 100 debug messages (https://github.com/ansible-community/ara/blob/master/tests/integration/benchmark_tasks.yaml) into real life performance. Mitogen's Benchmark used either 100 times a "hostname" command on the target machine (https://github.com/mitogen-hq/mitogen/blob/master/tests/ansible/bench/loop-100-items.yml) or running the DebOps project (https://github.com/debops/debops-playbooks/blob/master/playbooks/common.yml) for some sorta real-world module usage.
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The Bullhorn #92 (Ansible Newsletter)
Reach out on Mastodon or see this issue on GitHub.
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Best options for monitoring Ansible deployment times
There has been discussions about a prometheus exporter for monitoring, metrics and eventually fancy graphs in grafana but work on this has not started yet: https://github.com/ansible-community/ara/issues/177
django-celery
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3% of 666 Python codebases we checked had a silently failing unit test
https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
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Database character sets and collations explained – why utf8 is not UTF-8
> they would now need to store max 4N bytes, which (with a high N) can exceed internal limits such as maximum length of an index key.
Specifically, indexes are limited to 767 bytes (some say 768?), which means 191 utf8mb4 characters. So your otherwise-innocuous VARCHAR(255) primary key breaks. I’ve seen this multiple times, e.g. django-celery probably still has this: https://github.com/celery/django-celery/issues/259.
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Django API Text Processing?!?
For small projects you'll be fine just doing it in the view. For bigger projects you would want to use a task scheduler like Celery and with django-celery to distribute the workload in the background.
What are some alternatives?
awx - AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
semaphore - Modern UI for Ansible
celery-progress - Drop in, configurable, dependency-free progress bars for your Django/Celery applications.
CIS-Ubuntu-20.04-Ansible - Ansible Role to Automate CIS v1.1.0 Ubuntu Linux 18.04 LTS, 20.04 LTS Remediation
jasmin - Jasmin - Open source SMS gateway
elk-ansible - Using ELK to Build a Fact Search Engine and Inventory CMDB for Ansible Tower
django-silk - Silky smooth profiling for Django
foreman-ansible-modules - Ansible modules for interacting with the Foreman API and various plugin APIs such as Katello
flower - Real-time monitor and web admin for Celery distributed task queue
django-cms - The easy-to-use and developer-friendly enterprise CMS powered by Django