Dear Apache Kafka Community,
I'd like to propose an exciting new extension to the Kafka ecosystem that I
believe will revolutionize how we think about stream processing:
KStreamsJS-PHP - a full PHP implementation of Kafka Streams with
browser-based AI capabilities.
Motivation
As we all know, PHP is the backbone of the web. Despite numerous obituaries
written for it since the early 2000s, PHP continues to power approximately
77.5% of all websites with a known server-side language. However, these
millions of PHP developers have been unjustly excluded from the Kafka
Streams ecosystem!
Technical Overview
KStreamsJS-PHP will be implemented as a PHP extension written primarily in
JavaScript (transpiled to PHP) with a Rust core for performance. Key
features include:
1. Full DSL API compatible with Kafka Streams but with PHP syntax:
<?php
$builder = new KStreamsBuilderJS();
$kstream = $builder->stream("input-topic");
$kstream
->filter(function($key, $value) { return $value->count > 1000; })
->map(function($key, $value) { return KeyValue::pair($key,
strtoupper($value->name)); })
->to("output-topic");
?>
2. Browser-based State Stores: All state will be managed through IndexedDB
in the user's browser. This dramatically simplifies operations as you no
longer need to manage RocksDB instances.
3. AI-powered Stream Processing: The extension will include a revolutionary
"AI Topology Builder" that watches as developers code and uses GPT-27 (not
yet released) to anticipate processing needs. The AI will automatically
generate and inject stream processing topologies into your code as you
think about implementing them!
4. WebWorker Threading: PHP, famously single-threaded, will leverage
browser WebWorkers to achieve parallelism through a patent-pending
technology we call "ClientThreading™️".
Deployment Model
The extension deploys PHP code to the browser via WebAssembly, with each
user's browser becoming a node in your Kafka Streams application. Scaling
is automatic - the more visitors to your website, the larger your
processing cluster becomes!
Project Timeline
- Phase 1 (April 2025): Initial implementation and documentation
- Phase 2 (June 2025): Integration with TikTok's short-form video API for
visual stream processing
- Phase 3 (September 2025): Launch of KafkaVerse - a metaverse environment
where developers can physically walk through their streaming topologies
Compatibility Guarantee
KStreamsJS-PHP will maintain strict compatibility with Internet Explorer 6
and Netscape Navigator.
Security Considerations
All stream processing happens client-side, so sensitive data never leaves
the user's browser! As a bonus feature, users' CPU and RAM will be
partially allocated to mining cryptocurrency to fund the project.
Call for Feedback
I'm seeking feedback from the community on this proposal, particularly
regarding our innovative approach to AI-driven stream processing in the
browser. We believe this project will cement Kafka's position in the "Web3
Streaming" space.
Please share your thoughts on this proposal. I'm particularly interested in
how we can leverage newer browser APIs like the Ambient Light Sensor to
adjust throughput based on the user's lighting conditions.
Best regards,
Elvis
