dramatiq
ApacheKafka
dramatiq | ApacheKafka | |
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15 | 104 | |
4,079 | 28 | |
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7.7 | 0.0 | |
4 days ago | 5 months ago | |
Python | ||
GNU Lesser General Public License v3.0 or later | - |
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dramatiq
- Dramatiq: A fast and reliable distributed task processing library for Python
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Inngest raises $3M seed to build the reliable workflow platform for every dev
Using something like Dramatiq [1] with Redis, writing a background job takes minutes, and can be deployed alongside an existing Python web app. There are probably JS equivalents.
I think Inngest could be a useful service, but the comparison felt off for me - it made me feel like this wasn't solving a real problem.
[1] https://dramatiq.io/
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Arq vs Dramatiq vs Taskiq vs Repid
Dramatiq documentation
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Taskiq: async celery alternative
Hello everyone. We want to present you Taskiq: our new project that allows sending tasks using distributed queues. Conceptually it's similar to Celery or Dramatiq but with full asyncio and type hints support. Taskiq can send and execute async functions and has many integrations with different queue implementations.
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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
- Simple Task Queue system that works with Django 4 / Python 3.9?
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Writing a book about Django, what’s your suggestion for the theme?
I have been using dramatiq lately (celery alternative) and so far I'm happy with it.
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A new simple background job processing framework
this is a more robust solution. https://dramatiq.io/
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What is your favourite task queuing framework?
Dramatiq -> Just another celery?
- 5 background scheduling libraries in Python you must know
ApacheKafka
- PubNubとIFTTTによるSMS通知システム
- PubNub 및 IFTTT를 사용한 SMS 알림 시스템
- Système de notification par SMS avec PubNub et IFTTT
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Wie man Ereignisse von PubNub zu RabbitMQ streamt
Senden an Kafka (d. h. Senden der Daten an Apache Kafka)
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.
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How to Use Reductstore as a Data Sink for Kafka
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time.
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🦿🛴Smarcity garbage reporting automation w/ ollama
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput.
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
What are some alternatives?
celery - Distributed Task Queue (development branch)
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
huey - a little task queue for python
Jenkins - Jenkins automation server
Cython - The most widely used Python to C compiler
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Pyston - A faster and highly-compatible implementation of the Python programming language.
istio - Connect, secure, control, and observe services.
Stackless 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.
PyPy
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.