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Quix is a telemetry analytics platform for high frequency sensor data. ⭐️ https://teapaw.org/t.co/qBZLGwufAg 🏘️ https://teapaw.org/t.co/4fmY0jflCV

Worldwide
Joined April 2021
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This open-source agent is sick! Klaus Kode is an open-source, console-based workflow for building data integrations using the Claude Code SDK. Find the link to the repo in the post below. I've been building software for 30 years, and building connectors to other systems to move data in and out is as painful as it gets. It's challenging to get it right, particularly when building applications that scale and maintain high throughput. That's precisely what this project solves: 1. It will guide you step by step to understand your requirements 2. It will write the integration code 3. It will automatically test the integration 4. It will help you deploy everything This will get you to a working connector 10x faster than you would by asking a chatbot to write everything for you.
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Still transferring test data via flash drives? F1 teams stream 1,000+ sensor points/second to the cloud. Local ingestion mistakes = data lost forever Cloud processing mistakes = rerun the pipeline Your prototype validation work deserves better than the USB graveyard.
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Test facilities are stuck in 2010: • Laptop connected to test rig • Proprietary desktop app • Data dumped locally • Flash drive transfer to "wherever seems logical" #F1 teams are streaming data at scale with fault-tolerant pipelines. Time to modernize your R&D infra.
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🚀 QuixStreams 3.15.0: Time-aware joins for industrial data. Perfect for predictive maintenance, smart grids, and asset tracking. Now with enhanced reliability. pip install --upgrade quixstreams quix.io/blog/quix-streams-re… #IndustrialData
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🚀 Webinar: Build industrial data pipelines with AI & MCP servers. See how to deploy apps and manage topics using natural language. Bonus: Learn to build your own MCP server from API docs. 🔗Register: quix.io/events/build-an-indu… #DataEngineering #AIDevelopment #IndustrialData #MCP
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Join our webinar to discover how we architected and built a system to ingest and process vast amounts of data for one of our energy sector customers. More and Register: quix.io/events/building-reli… #iot #industry4 #customer #python
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Private Container Registries, Bug Fixes and UX Improvements. The latest Quix Cloud release is packed with stuff our users have asked for. Full release note here: quix.io/blog/quix-cloud-priv… #productrelease #iot #industry4
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Flexible Windowed [data] Aggregations Quix Streams 3.13.0 has a bunch of awesome new features including more flexibility for windowed aggregations and a new data sink. Check out the full list here: quix.io/blog/quix-streams-re…
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Big news! Quix has achieved Google Cloud Ready - BigQuery designation! Empowering manufacturers & energy companies to process high-frequency sensor data: quix.io/blog/quix-achieves-g… #BigQuery #GoogleCloud #RealTimeData #IndustrialIoT
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✔ Stop conditions for App.run() – Finally, a way to stop infinite loops. ✔ Breaking change in Sink.flush() – We tweaked it. Your pipeline might have opinions! 🔗 Details: quix.io/blog/quix-streams-re… #QuixStreams #Kafka #Python #DataStreaming
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🔥Quix Cloud is now Multi-Cluster capable! ☑️Deploy different environments to different clusters ☑️Improved control, isolation, flexibility and compliance ☑️Reduce risk by utilizing different clusters Check it out: quix.io/blog/quix-cloud-mult… #QuixCloud #Kubernetes #StreamingData
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Model based development can save costs, but managing data manually adds ‌them back. Discover best practices for: -Managing test data -Versioning configs -Using modern databases & streaming tools. Read this to get your MBD data strategy right from day 1 quix.io/blog/model-based-dev…
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🚀 Quix Streams 3.10.0 is out! 🚀 - Window closures that actually obey you - Connector callbacks so you’re not debugging blind - Fewer bugs, more stability - Docs that don’t make you rage-quit Get the details: quix.io/blog/quix-streams-re… #QuixStreams #Python #DataNerdsUnite
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Are IIoT data volumes outpacing your systems? More sensors & real-time streams mean scaling issues, latency & bandwidth bottlenecks—and legacy tools can’t keep up. We break down why & what actually works for real-time IIoT data. 🔗 Read more: quix.io/blog/from-sensors-to…
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Moving towards Industry 4.0 has major advantages but legacy historians make the move harder. InfluxDB join us on a webinar to discuss the issues our customers face and how we solve them. Register your interest here: quix.io/events/key-challenge… @InfluxDB #IIoT #IoT #Manufacturing
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"Just connect our factory to the cloud"... It'll be easy, they said... Factory (OT) systems are brilliant at controlling machinery, but getting their data into business (IT) systems? That's where things get spicy. Here's why: quix.io/blog/why-moving-data… #OT #IT #Industry4 #IIoT
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