celery
Sentry
celery | Sentry | |
---|---|---|
43 | 266 | |
23,498 | 36,957 | |
0.8% | 0.7% | |
9.5 | 10.0 | |
7 days ago | about 6 hours ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
celery
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Streaming responses to websockets with multiple LLMs, am I going about this wrong?
So this might be my understanding, but stuff like celery is more like an orchestrator that chunks up workloads (think Hadoop with multiple nodes).
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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FastAPI + Celery problem: Celery task is still getting exectued even though I'm raising an exception on task_prerun
I've been doing some research and there doesn't seem to be much information on this issue, aditionally there's this but without a fix yet or any workaround: https://github.com/celery/celery/issues/7792
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
[1]: https://github.com/celery/celery/issues/4426
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)
Sentry
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Building a Production-Ready Web App with T3 Stack
First, sign up for a free account at https://sentry.io. Create a new project and make note of your DSN (Data Source Name).
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How to Handle N+1 Queries for Optimal Database Performance in Django?
Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries.
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Next.js Error Monitoring with Sentry: Enhancing Your Application’s Reliability
However, ensuring the reliability and performance of your Next.js app is equally crucial. That’s where Sentry comes into play. Combined with Sentry, an industry-leading error monitoring platform, Next.js empowers developers to proactively identify and resolve issues that may arise in their applications. In this article, we’ll explore how to integrate Sentry into your Next.js project for effective error monitoring and performance optimization.
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4 facets of API monitoring you should implement
Sentry: Error monitoring for applications, including APIs. Also offers application performance monitoring (APM).
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It's 29 Delphi, I mean
Indeed, webapps are not immune to distribution problems. Wayward and invasive browser extensions are a clear threat, as are 3rd-party dependencies (and their dependencies) loaded at runtime. Which is why companies like https://sentry.io exist. I think the difference is that webapps are "distributable by default" and it takes real work to break this. Versus having local desktop apps which require work to distribute. A potent example of the power of defaults.
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We removed advertising cookies, here's what happened
Sentry produces nothing of value? You don't value an open source error tracking and performance monitoring platform? https://github.com/getsentry/sentry
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The Life and Death of Open Source Companies
> You invent something, and then immediately turn it into a cheap commodity by releasing it for free.
Exactly. A 71-line python script https://github.com/getsentry/sentry/commit/3c2e87573d3bd16f6... was groundbreaking when it came out and the fact that it springboarded into a startup is commendable.
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banner ads in spotify
sentry.io: 5
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Open Source alternatives to tools you Pay for
Sentry - Open Source Alternative For Error Tracking
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🤩 20 Awesome Tools For Your Web Dev Toolkit 🛠️
11. Sentry
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
Apache Kafka - Mirror of Apache Kafka
Loguru - Python logging made (stupidly) simple
huey - a little task queue for python
opentelemetry-specification - Specifications for OpenTelemetry
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
skywalking - APM, Application Performance Monitoring System
rq - Simple job queues for Python
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
kombu - Messaging library for Python.
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.