FastStream brokers provide convenient function decorators @broker.subscriber and @broker.publisher to allow you to delegate the actual process of:
These decorators make it easy to specify the processing logic for your consumers and producers, allowing you to ... See more
- consuming and producing data to Event queues, and
- decoding and encoding JSON encoded messages
These decorators make it easy to specify the processing logic for your consumers and producers, allowing you to ... See more
airtai • GitHub - airtai/faststream: FastStream is a powerful and easy-to-use Python framework for building asynchronous services that interact with event streams such as Apache Kafka and RabbitMQ.
When we think about a world where everyone is connected, where everything is a node on the network, where every node can publish and subscribe, we can understand the need for the stream/filter/drain architecture.
JP Rangaswami • Filters: Part 2: Thinking about the network as filter
Programmable platform for data in motion
An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.
An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.
The programmable data streaming platform
Consumption driver: a feature that serves up ready-made content to the user (e.g. a newsfeed or digest email)Verbs: the core actions you want the reader to take when consuming content (e.g. like, upvote, downvote, share, retweet, comment, etc)Personalization: data infrastructure and product features that “push” new content to the user (Youtube, Ins... See more
Accelerating Your Content Flywheel
Clickstream data from the web may be a standard, easily handled data source in 10 years. Actively processing every e-mail, customer service chat, and social media comment may become a standard practice for most organizations. The tracking of hundreds of metrics per second from an engine may not make anyone break a sweat.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Streams are likely to become the salaries of Web3 because they have many of the same unique properties but provide a more digitally native and logical solution. These programmable cash flows can deliver payments block-by-block to contributors or other parties. For this reason, they are a great way to reward long term contributors and break the “mon... See more
Ben Perez • Incentive Design & Tooling for DAOs
In the stream metaphor you don’t experience the Stream by walking around it and looking at it, or following it to its end. You jump in and let it flow past. You feel the force of it hit you as things float by. It’s not that you are passive in the Stream. You can be active. But your actions in there — your blog posts, @ mentions, forum comments — ex... See more
Mike Caufield • The Garden and the Stream: A Technopastoral
- REST (Representational State Transfer) is the most used style that uses standard methods and HTTP protocols. It's based on principles like statelessness, client-server architecture, and cacheability. It's often used between front-end clients and back-end services.
- GraphQL is a query language for APIs. Unlike REST, which exposes a fixed set of endp