fastkafka
redpanda
fastkafka | redpanda | |
---|---|---|
38 | 70 | |
33 | 8,868 | |
- | 2.0% | |
8.7 | 10.0 | |
5 months ago | about 2 hours ago | |
Jupyter Notebook | C++ | |
Apache License 2.0 | - |
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fastkafka
- FLaNK Stack Weekly 16 October 2023
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FastStream: Python's framework for Efficient Message Queue Handling
Our journey with FastStream started when we needed to integrate our machine learning models into a customer's Apache Kafka environment. To streamline this process, we created FastKafka using AIOKafka, AsyncAPI, and asyncio. It was our first step in making message queue management easier.
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How we deprecated two successful projects and joined forces to create an even more successful one
After a short discussion, we concluded we were just too spoiled to use low-level libraries that were nothing more than just tiny wrappers around C++ libs and that we could just build our own. So, we shamelessly made one by reusing beloved paradigms from FastAPI and we shamelessly named it FastKafka. The point was to set the expectations right - you get pretty much what you would expect: function decorators for consumers and producers with type hints specifying Pydantic classes for JSON encoding/decoding, automatic message routing to Kafka brokers and documentation generation.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
FastStream simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from FastKafka and Propan. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.
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FastStream: the easiest way to add Kafka and RabbitMQ support to FastAPI services
FastStream (https://github.com/airtai/faststream) is a new Python framework, born from Propan and FastKafka teams' collaboration (both are deprecated now). It extremely simplifies event-driven system development, handling all the parsing, networking, and documentation generation automatically. Now FastStream supports RabbitMQ and Kafka, but supported brokers are constantly growing (wait for NATS and Redis a bit). FastStream itself is a really great tool to build event-driven services. Also, it has a native FastAPI integration. Just create a StreamRouter (very close to APIRouter) and register event handlers the same with the regular HTTP-endpoints way:
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The new release of FastKafka supports Pydantic v2.0
Inspired by FastAPI, FastKafka uses the same paradigms for routing, validation, and documentation, making it easy to learn and integrate into your existing streaming data projects. Please check out the latest version adds supporting the newly released Pydantic v2.0, making it significantly faster. https://github.com/airtai/fastkafka
- Inspired by FastAPI, FastKafka uses the same paradigms for routing, validation, and documentation, making it easy to learn and integrate into your existing streaming data projects. The latest version adds support for newly released Pydantic v2.0, making it significantly faster.
- FastKafka – A Free Open-Source Python Library for Building Kafka-Based Services
redpanda
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Using Redpanda with OpenTelemetry and Grafana for real-time event monitoring
To learn more about Redpanda and stay up-to-date, see Redpanda's source codes available on GitHub and join the Redpanda Community on Slack with fellow developers and data engineers.
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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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The best WebAssembly runtime may be no runtime at all
Yeah it’s just the stack switching itself that is a handful of cycles, but there is not much more overhead for the full VM switch if you structure your embedding the right way. Code the code is source available if you want to peek at it!
https://github.com/redpanda-data/redpanda/blob/dev/src/v/was...
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redpanda VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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Kafka Is Dead, Long Live Kafka
that's a littlebit of a stretch. when you say "no shortage" - outside of redpanda what product exists that actually compete in all deployment modes?
it's a misconception that redpanda is simply a better kafka. the way to think about it is that is a new storage engine, from scratch, that speaks the kafka protocol. similar to all of the pgsql companies in a different space, i.e.: big table pgsql support is not a better postgres, fundamentally different tech. you can read the src and design here: https://github.com/redpanda-data/redpanda. or an electric car is not the same as a combustion engine, but only similar in that they are cars that take you from point a to point b.
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Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave
Redpanda with the MongoDB Debezium Connector installed. We use Redpanda as a Kafka broker.
- Redpanda
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Flink CDC / alternatives
And Kafka + Kafka Connect has https://www.confluent.io/ https://aiven.io/ https://upstash.com/ (and not quite Kafka, but protocol-compatible, https://redpanda.com/)
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The Redpanda Project
There exists a C++ project which was created after Rust the language was available. github.com/redpanda-data/redpanda/
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SOCKS Proxy Server Architecture for High Concurrency
I suggest you check out io_uring and thread per core architecture. Applications like scylladb and redpanda have thread per core architecture and use io_uring for async io.
What are some alternatives?
cookiecutter-faststream - Cookiecutter template for FastStream apps
Apache Kafka - Mirror of Apache Kafka
RealtimeTTS - Converts text to speech in realtime
Apache Pulsar - Apache Pulsar - distributed pub-sub messaging system
datagen - Generate authentic looking mock data based on a SQL, JSON or Avro schema and produce to Kafka in JSON or Avro format.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
aiokafka - asyncio client for kafka
jetstream - JetStream Utilities
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
pythagora - Generate automated tests for your Node.js app via LLMs without developers having to write a single line of code.
kafkacat - Generic command line non-JVM Apache Kafka producer and consumer [Moved to: https://github.com/edenhill/kcat]