A new cost-savings case study from a company building a protocol for quickly creating decentralized applications on #Ethereum and IPFS. Get insights into the cost of running Fluvio vs. Apache #Kafka: hubs.ly/Q01p3Tph0

Unlock real-time data streaming like never before with @InfinyOn – the unified platform for building modern data pipelines with speed, scale, and simplicity. Powered by Rust, designed for edge-to-cloud. Explore the future of data: infinyon.com #DataStreaming #RustLang

Just discovered @InfinyOn — simple, fast, powerful real-time data streaming. Built with Rust 🦀 for speed and safety. Ideal for event-driven architecture or escaping Kafka issues. Worth checking out. #DevTools #RustLang #StreamingData #InfinyOn

Excited to explore @InfinyOn #Fluvio – an open-source, cloud-native event streaming platform built with Rust for ultra-fast, scalable, and reliable real-time data processing. A game changer for modern data architectures! #DataStreaming #CloudNative #OpenSource #Innovation

Been reading up on @InfinyOn’s Fluvio for HACKHAZARDS, and I’m starting to get how Stateful DataFlow processes live data. I might use it for a real-time tracking feature in my project. Excited to learn more: github.com/infinyon/fluvio

We can't wait to see what you'll build with this game-changing technology. Check out our Founders interview with @Fluvio: youtu.be/cbwHbAPznTE?si=I9rc… Share, Like, and Comment to show your support on the video.

400 millisecond. Tens of thousands of transactions. Coming from the Solana blocks and other chains. How could we process them to make the information become insight for average investors. Blockchain devs need access to updated transactions and information backed by serverless RPC to intuitively access the views that they need to build continuous analytics on. In this vide @wedtm shares with @deb_data_pm how @trustlesseng is building it with @InfinyOn.

100% pure Rust server-side WASM plugins.

The same or better! We feed srpc with a custom geyser plugin that ships directly to fluvio, from there *you* the customer can upload custom WASM modules (or even just YAML configuration) in your request and the streaming response events will only include the events that match your aggregate/filter/map code. With Stateful Data Flows, you will be able to replicate the functionality of zkCompression (or any L1 rollup really) for a fraction of the cost of running your own photon instance.

@InfinyOn and @fluvio_io will give you a decent platform to implement. :)

If you're into RPC's, pivot to serverless. It's faster, cheaper, and tuned to your specific business use-cases.

RT @trustlesseng: Checkout this discussion between our CEO @wedtm and our friends at @InfinyOn about our Serverless RPC service and how it…

Reality of Unified Composable Data Architecture. Unification. Composability. Shift left. Are things that you must have heard. What it means and how it applies to you could be skewed based on your context. There is an excellent VLDB paper on the topic published in 2023, not many implementations yet. Here is how we look at unified, composable data stack at InfinyOn. It must be: 1. Decoupled but integrated. 2. It needs to reduce system hops and impedance mismatch. 3. It needs to offer control, flexibility, and developer ergonomics. If you’re a resourceful innovator and builder, now's the time to get hands-on! Clone the public repository "Stateful DataFlows Examples" on InfinyOn GitHub and follow the instructions in the readme. [Link In Comments] You can have it all running in 7-10 minutes!

Beyond the $1.5B Red Panda Acquisition Rumors. Everyone's buzzing about what this means: Snowflake entering streaming? What's Databricks' move? $1.5B for $20M ARR (that 75x multiple! 👀 allegedly) Thanks to @kozlovski for the awesome take. And @JohnKutay for the raw humour. And Paul Dudley for calling out the BYOC pattern. And Daniel Palma for the "AI Data Cloud" reference. But here's what nobody's mentioned yet... So here I go: If you think Red Panda is the only high-performance alternative to Kafka, you're wrong. If you think Kafka wire compatibility is the end all be all, let's ask what happens to the data after Kafka? Let me explain: Consolidation in the data world has been a long time coming - ask @SeattleDataGuy But the puck does not stop there. There is fundamentally better technology on the horizon. Here's the reality: Market share matters, but... Kafka & Red Panda solved real problems. They deserve a lot of respect for blazing the trails. But.. massive funding & marketing ≠ technical superiority. The revolution in streaming isn't just about capital or consolidation. RedPanda will certainly get much stronger distribution with Snowflake. But account based marketing needs to be coupled with a outstanding product experience. There is an architectural upgrade coming. Core: Rust WebAssembly = bare-metal performance Interface: SQL Python = developer productivity Result: Single-digit milliseconds without the infra overhead The data platform market needs platforms that deliver: 1. True performance without resource waste 2. Developer ergonomics without compromise 3. Cost-effectiveness at scale 4. Edge-to-cloud flexibility Sounds like it's super simple. Simple but not easy.

Since we have started discussing the very public "rumours" about the Snowflake <> RedPanda story. I am compelled to record a video to share some observations. Maybe, debunk some myths circulating about the rest of the market. Hold my coffee! ☕

So hard to precisely articulate a focused proposition of what a platform can do! Got the video down to 40 seconds. Could probably shrink the initial login and the end CTA to get it down to 30 seconds. @InfinyOn is an end to end streaming analytics platform for software engineers who deeply understand data and data engineers who deeply understand software. Is it clear? concise? confusing? confounding? What does your gut say? 😬

Not sure how this works on X, but let's see... Happy Saturday to data platforms and pipelines builders near Waterloo! Announcing a series of in person events on data platforms and pipelines in Waterloo. The first event on 21st Jan 2025 at the Startup Barn a.k.a. Builders Club. It's a really cool space that I have enjoyed being at for the past few months. Grateful for the support from Fractalpoint Technologies, @databeatsnow, and @InfinyOn as well. Will announce the agenda over the coming days and outline a cadence over the first few weeks. If you are into data pipelines, platforms, products, infra and you are within a reasonable distance from Waterloo - consider joining us.

Process and Query streams of events from the Helsinki real time vehicle position api with @InfinyOn @fluvio_io and Stateful Dataflow Experience Fluvio and Stateful Dataflow for streaming processing and querying. Connect to the Helsinki's transit system via MQTT, process the data to remove incomplete events, and calculate the average speed of vehicles in real-time. The flow involves using a connector, cleaning data, applying transformations, and utilizing SQL queries to interact with the streaming data. All within a matter of minutes! Git Repo: github.com/infinyon/stateful… References: InfinyOn Website: infinyon.com/ InfinyOn Community Docs: fluvio.io/ Fluvio GitHub Repo: github.com/infinyon/fluvio Lucid Streaming Newsletter: lucidstreaming.substack.com/ Background Audio: Lofi Learning With Books (Instrumental) By Kamil Guszczynski

Want data and insights of Solana blocks transactions and instructions? Here you go!

Follow @prism_tec for data and insights on Solana blocks. We are excited to make data and insights of all the Solana blocks transactions and instructions accessible - In collaboration with @trustlesseng powered by @fluvio_io Stateful DataFlows.

RT @trustlesseng: Trustless Engineering Co. has partnered with @infinyon to provide infinitely scalable, realtime, stateful data flows of a…