Big news!!! 🎊 Redpanda has acquired the popular stream processing and connectivity framework Benthos. That means with our new Redpanda Connect we're now the most comprehensive end-to-end streaming data platform! 🔗 Gone are the days of suffering through multiple projects that manually stitch data from your streams to your data warehouse or operational database. Read what our founder Alexander Gallego has to say about all that's new at Redpanda. 👇 https://lnkd.in/gpUfGYgs
Redpanda Data
Software Development
San Francisco, CA 13,371 followers
Redpanda is a simple, powerful, cost-efficient, and Kafka® API compatible platform that eliminates Kafka complexity.
About us
Redpanda is a simple, powerful, and cost-efficient streaming data platform written in C++. Fully compatible with Kafka® APIs. None of the Kafka complexity.
- Website
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https://redpanda.com
External link for Redpanda Data
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2019
Locations
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Primary
San Francisco, CA 94118, US
Employees at Redpanda Data
Updates
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With the rise of #SaaS and self-serve #data platforms, organizations want to equip their employees with the fresh insights they need to make data-driven decisions faster. However, building a user-facing #analytics solution that provides these swift insights is easier said than done. To give you a hand, Dunith Danushka cooked up a helpful blueprint for implementing a simple, scalable user-facing analytics solution 🚀 Read it here👇 https://lnkd.in/gTHEVGwR
Bridging the Data Gap: Real-Time User-Facing Analytics
https://thenewstack.io
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Redpanda Data reposted this
This is the more detail version of the demo I did during the Redpanda Data launch stream, where I created a smart robot using a #RaspberryPi 4! This is how I turned this resource-limited device into a powerful AI-driven robot capable of answering questions in real-time using redpanda #connect 🔧Highlights: - Integrating Redpanda and Redpanda Connect for efficient data handling - Speech-to-Text conversion - Dynamic topic assignment for query processing - Text-to-Speech playback of responses - Utilizing OpenAI for natural language processing WDYT about the demo? Let me know! #kafka #kafkaconnect #ai #openai #rag #edge #iot
Building a conversational robot with Raspberry Pi and Redpanda
https://www.youtube.com/
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Redpanda Data reposted this
Modern apps require modern platforms—so sticking to traditional #tech will inevitably leave you behind. If you're struggling to get with the times, come meet Redpanda for a fantastically simple (yet incredibly powerful) #streamingdata engine that'll end your battle with #batch for good 👉 https://lnkd.in/e_8fnf6C #StreamingDataDoodles #kafka #realtime #data
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Redpanda Data reposted this
🗣️ Don't miss this short interview with Michał Maślanka at #JOTB24. Michał is responsible for Redpanda Data's Raft implementation and cluster orchestration bits. #softwaredevelopment #distributedsystems #Raft 👉 https://lnkd.in/dTvbzKdw
Interview with Michał Maślanka at JOTB24
https://www.youtube.com/
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🎵 Don't stop me now I'm having such a good time, I'm having a ball Don't stop me now 🎵 Once you get started with Redpanda, you won't want to stop at all! Join our free online session on "Getting started with Redpanda" to learn about Redpanda's architecture, deployment options, practical use cases, and best practices. 🗓 Wednesday, July 10th 🌎 Americas: 9 am PT | 12 pm ET 🌍 EMEA: 8 am ET | 1 pm BST Sign up to join👇 https://lnkd.in/gjd75ZgJ
Redpanda Streamcast - Getting started with Redpanda
go.redpanda.com
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Redpanda Data reposted this
let's go docs team! so cool to see
Among the first contenders you'll find Redpanda Data 🎉 One of the key features of Redpanda Docs is the integrated search experience, which provides previews of page content. Additionally, the site leverages AI integration to help answer user queries, and the Redpanda Labs landing page offers a valuable resource where users can search for and filter code examples. 🏆 Want to nominate your developer portal and shine a spotlight on your team? Submit your entry by August 5th here: https://lnkd.in/d2q2qA4b #DevPortalAwards2024 #Awards #Awards2024 #DevPortalAwards #apidocumentation #technicalwriting #developerexperience #developerportal #pronovix
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Redpanda Data reposted this
I will be speaking at ServerlessDays Bengaluru about Building Streaming ETL Pipelines with the Redpanda Ecosystem, including Redpanda Connect. Remember to mark August 31 on your calendars if you're going to be in Bangalore. #serverless #redpadna #streamingetl
Our first set of speakers are out! Get ready to be inspired by the brightest minds in serverless technology. Don't miss out on #ServerlessDaysBLR 2024. 🗓 Date: August 31st, 2024 🕘 Time: 9:00 AM - 6:00 PM IST 📍 Venue: Radisson Blu, Marathahalli 🔗 Secure your spot now: https://konfhub.com/sdb Don’t miss this exclusive opportunity to learn from the best in the industry! See you there! #Serverless #BangaloreTech #MondayTech #TechConferences #TechEvents #BangaloreEvents #TechMeetup #TechTalks #BangaloreTechCommunity #CloudComputing #TechNetworking #ServerlessArchitecture #TechInnovation #BangaloreStartups #DeveloperCommunity
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Mission-critical #streamingdata apps, like for stock trading or real-time #analytics, can't afford to wait for synchronous replies and risk hindering performance and the user experience. Happily enough, the asynchronous request-reply pattern enables a system to handle multiple requests concurrently, maintain high throughput, and ensure responsiveness 🙌 In this tutorial, we show you how this handy pattern works, popular use cases, and how to implement it in an async #Python app. https://lnkd.in/gjj5uqn4
Building efficient workflows: Asynchronous Request-Reply pattern
redpanda.com
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Redpanda Data reposted this
How do you build 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 ML systems, at 𝘀𝗰𝗮𝗹𝗲, 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗯𝘂𝗿𝗻𝗶𝗻𝗴 𝗰𝗮𝘀𝗵? 🧠 ↓↓↓ 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 🤔 Let’s say you work as an ML engineer at a fintech startup, whose flagship product is a mobile app for online payments. The company is still small, but nonetheless a critical problem you need to tackle from day 0 is the automatic detection of fraudulent transactions. The system needs to be > 𝗙𝗮𝘀𝘁, otherwise, you will detect fraud too late, and the predictions, no matter how precise they are, will be useless. > 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 based on the volume of transactions your users generate per second. You aim to become a serious contender to VISA or MasterCard, so you want a design that can scale to over 65,000 transactions per second. > 𝗖𝗼𝘀𝘁-𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁. You don’t want high upfront costs 💸 and complex infrastructure to mange (well, who does? 😛) So the question is > How can you build a 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 and 𝗰𝗼𝘀𝘁-𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 system to detect fraud❓ 𝗧𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 🧠 To make your system capable of → ingesting transactions, and → producing fraud notifications to end-users at scale and fast you can use a streaming data platform (aka message bus), like Apache Kafka or, even better, Redpanda Data. 𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆? 🎛️ The scalability of the system depends on 2 things: > Number of brokers in your message bus and the resources you allocate to them (CPU, memory…). > Number of Docker instances you run of your Fraud Detector Service. Horizontal scaling 𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝘀𝘁𝘀? 💸 To run this system you need at least 2 things: > A 𝗰𝗼𝗺𝗽𝘂𝘁𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺, where your Fraud Detector Service runs. For example, Amazon EKS, Google Cloud GKE or Quix Cloud, and > A 𝘀𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺, like Apache Kafka or Redpanda Data. 𝗔𝗽𝗮𝗰𝗵𝗲 𝗞𝗮𝗳𝗸𝗮 𝗼𝗿 𝗥𝗲𝗱𝗽𝗮𝗻𝗱𝗮 ❓ Apache Kafka is built in Java and requires a complex mesh of services to run, while Redpanda Data is designed from the ground up in C++ and shipped as a single binary. Which means it is easier and cheaper to run. 🤑 𝗠𝘆 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 💡 If you want to start building real-time ML systems, without investing a lot in upfront infrastructure costs, I recommend you try 𝗥𝗲𝗱𝗽𝗮𝗻𝗱𝗮 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀. → With a 𝗳𝗲𝘄 𝘀𝗲𝗰𝗼𝗻𝗱𝘀 you get your production cluster up and running 🚀 → You 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗮𝗻𝗮𝗴𝗲 𝗮𝗻𝘆 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 🎉, and → You 𝗼𝗻𝗹𝘆 𝗽𝗮𝘆 𝗳𝗼𝗿 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝘂𝘀𝗲, so you go from 0 USD and scale based on your growth 🤑 Click here to try it for FREE ↓↓↓ https://lnkd.in/eSd-P4Es ---- Hi there! It's Pau Labarta Bajo 👋 Every day I share free, hands-on content, on production-grade ML, to help you build real-world ML products. 𝗙𝗼𝗹𝗹𝗼𝘄 𝗺𝗲 and 𝗰𝗹𝗶𝗰𝗸 𝗼𝗻 𝘁𝗵𝗲 🔔 so you don't miss what's coming next #machinelearning #realtimeml #streaming
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