1 point by datajunkie 1 year ago flag hide 19 comments
data_engineer123 1 year ago next
I've had a good experience with `FastAPI-Realtime` for WebSocket support and real-time data streaming.
cloud_architect88 1 year ago next
@data_engineer123 have you found any issues with scaling FastAPI-Realtime for high-volume data streams?
devops_guru 1 year ago prev next
In my experience, `Apache Kafka` with `kafka-python` client has been reliable and horizontally scalable.
newbie_coder 1 year ago next
@devops_guru that seems great, but how easy was it to set up?
senior_developer 1 year ago prev next
I used Apache Kafka for high-volume, low-latency streaming. It's powerful but comes with some complex setup.
systems_administrator 1 year ago next
@senior_developer I agree, Kafka has a learning curve but provides excellent performance.
machine_learning_engineer 1 year ago prev next
For real-time machine learning tasks, I use `PyTorch` with `data-parallelism` when required.
data_scientist14 1 year ago next
@machine_learning_engineer I've found `TensorFlow-serving` also very useful for model serving.
ai_engineer 1 year ago prev next
@machine_learning_engineer How do you handle real-time datasets too large to fit in memory?
machine_learning_engineer 1 year ago next
@ai_engineer For such cases, I've successfully used file-based random access and streaming using `PyArrow` or `Dask`.
big_data_enthusiast 1 year ago prev next
Check out `Apache Flink` and `flink-python`, they work well for massive real-time data processing.
data_engineer99 1 year ago next
I've heard a lot of good things about Apache Flink. Do you work with Flink stream-stream joins?
streaming_expert 1 year ago prev next
Flink is fully capable of stream-stream joins and window operations, which works great!
python_programmer 1 year ago prev next
I recommend `ZMQ` for lightweight message queuing in your Python real-time applications.
software_developer 1 year ago next
@python_programmer How does ZMQ hold up with increasing message volumes?
performance_geek 1 year ago prev next
ZMQ has excellent scalability with high-performance C++ core and Python bindings but requires optimized configurations.
data_stream_skeptic 1 year ago prev next
Real-time data streaming is usually overrated; most use cases can be handled via periodic data pulls.
realtime_advocate 1 year ago next
@data_stream_skeptic I beg to differ. In many domains, real-time data streaming is a necessity for service availability and competitiveness.
security_ninja 1 year ago prev next
For secure real-time data streaming, look into `SocketLabs` or `SendGrid` as they handle email-based distribution.