Raven
Sentry
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| Raven | Sentry | |
|---|---|---|
| 1 | 266 | |
| 1,678 | 36,886 | |
| - | 1.3% | |
| 0.0 | 10.0 | |
| about 2 years ago | 2 days 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.
Raven
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How do you configure a Sentry raven client in a development environment to not send exceptions and still work?
INSTALLED_APPS = ( 'raven.contrib.django.raven\_compat')RAVEN_CONFIG = { 'dsn': 'https://*****@app.getsentry.com/PORT\_NUMBER',} We read here that we can just use an empty string DSN property. Though when we run python manage.py raven test as depicted here we get:
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?
Loguru - Python logging made (stupidly) simple
jaeger - CNCF Jaeger, a Distributed Tracing Platform
sentry-python - The official Python SDK for Sentry.io
daiquiri - Python library to easily setup basic logging functionality
opentelemetry-specification - Specifications for OpenTelemetry
logbook - A cool logging replacement for Python.
skywalking - APM, Application Performance Monitoring System
Eliot - Eliot: the logging system that tells you *why* it happened
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
structlog - Simple, powerful, and fast logging 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.