rapidpro
Sentry
rapidpro | Sentry | |
---|---|---|
1 | 269 | |
37 | 37,070 | |
- | 1.2% | |
0.0 | 10.0 | |
1 day ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
rapidpro
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Django Styleguide
Maybe you need to turn this into an article because over the last decade of working with Django, we've learnt the same lessons, sometimes the hard way. Learning to never import real models into data migrations was a big one.
I recently wanted to move a model between apps and ended up going the route of create new table, copy all rows over, delete old table. It was annoying, but the only way to make it work with regular migrations.
We ended up writing our own script[1] to squash migrations, and I'd love to know if there's a better way. We needed something that works for clean installs or existing installs that already have the current migrations installed - so it generates empty migrations which get applied on existing installs, and then they get replaced with real initial migrations on clean installs starting from a new release.
1. https://github.com/nyaruka/rapidpro/blob/main/tools/squash_m...
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?
spinach - Modern Redis task queue for Python 3
jaeger - CNCF Jaeger, a Distributed Tracing Platform
django-readers - A lightweight function-oriented toolkit for better organisation of business logic and efficient selection and projection of data in Django projects.
Loguru - Python logging made (stupidly) simple
django-api-domains - A pragmatic styleguide for Django API Projects
opentelemetry-specification - Specifications for OpenTelemetry
dramatiq - A fast and reliable background task processing library for Python 3.
skywalking - APM, Application Performance Monitoring System
django-db-queue - Simple database-backed job queue
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
Django-Styleguide - Django styleguide used in HackSoft projects
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.