Aiven

What a Big Data LDN. 🦀 We introduced the world to the Aiven Data & AI Cloud, launched Aiven Runtime and Aiven DataHub, and spent two days talking to builders about what it actually takes to get AI from a working pilot into production. A few highlights: 🎤 Dojo took the stage to share how they built a trusted data foundation for AI 🏃 Live demos of Aiven Runtime and Aiven DataHub 🍳 Crabby's Kitchen kept the booth busy (and fed) Thank you to everyone who stopped by, asked great questions, and shared what's actually slowing your AI projects down. Missed us? The launch blogs are still live 👉 https://lnkd.in/dsUWMXXA

Build the app. Ship the agent. Skip the plumbing. Building something is the easy part. Getting it into production, connected to real data, is where the weeks disappear. 𝗔𝗶𝘃𝗲𝗻 𝗥𝘂𝗻𝘁𝗶𝗺𝗲 𝗶𝘀 𝗻𝗼𝘄 𝗴𝗲𝗻𝗲𝗿𝗮𝗹𝗹𝘆 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 - Run your apps and AI agents right next to your data. If it Dockerfiles, it runs on Aiven: git push, or deploy an agent straight from Claude through MCP, and it's live in minutes. It matters most for agents. Yours is brilliant against sample data, but useless until it can reach the real thing; acting on fresh, governed production data that never leaves your environment. From "works on my machine" to running safely in production. 🦀 Read more 👉 https://lnkd.in/dgF79f-x

An AI agent without context is a brilliant intern on their first day: eager, capable, and completely clueless about your business. So it picks the wrong table, calls revenue "profit," and does it all very confidently. 𝗔𝗶𝘃𝗲𝗻 𝗗𝗮𝘁𝗮𝗛𝘂𝗯 is now generally available: the open-source data catalog that gives your teams and your agents the context to find, understand and trust data across every system.  • 🔎 Discover any dataset in seconds  • 🧭 Column-level lineage, ownership and governance  • 🤖 Agent-ready context via MCP  • ♾️ Unlimited users, no per-seat licensing, fully managed Know your data. Trust your AI. 🦀 Read more 👉https://lnkd.in/dZBwsqev

AI is only as good as the data underneath it. Software isn't built the way it used to be, low-code brought in domain teams, copilots brought in everyone else, and now agents build alongside humans. All of it runs on data that has to be fresh, fast, governed, reachable and open. That's the 𝗔𝗶𝘃𝗲𝗻 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗖𝗹𝗼𝘂𝗱: the open-source data services, the context and governance to trust them and a runtime for your apps and agents - one managed platform, on any cloud, with no lock-in. This week it all comes together. We're live at Big Data London, come see it. 🦀 Read the story 👉https://lnkd.in/dAFswx5H

"It works on my machine" used to be a joke about the last 10% of shipping. Now it's the whole problem. Your agent works beautifully against sample data — then production means VPC peering, IAM roles, secrets wiring, and a straight answer for security about where your data actually goes. The demo took an afternoon. Getting it safely in front of real data takes the rest of the month. That gap is about to get a lot smaller. Sept 23. 👀 Meet us at Big Data LDN and be the first to discuss with our team: https://lnkd.in/dEGXXwVG

Learn how Apache Kafka Diskless Topics can help you reduce Kafka's cross-AZ replication bill. Hugh Evans creates a Diskless topic live, switches a classic topic over, and shows where the network savings actually come from. Join us today at 7am PDT | 10am EDT | 3pm BST | 4pm CEST | 7:30pm IST | 5pm EEST: https://lnkd.in/d5TNiNek #ApacheKafka #DataStreaming

We can't wait to meet with Europe's Startup Ecosystem in November right here in Helsinki! Slush is bringing the current and next generation of builders under one roof and we are looking forward to being part of the inspiring athmosphere and many great conversations with founders from Eurpoe and across the world! See you there!

We’re excited to be at Big Data LDN next week 🎉 We're bringing the full menu to Stand P84, 23–24 September, Olympia London: open, multi-cloud data and what it takes to get AI right, not just roughly right. Alongside Dojo, we're also speaking: how they built a trusted data foundation for AI, the recipe behind it. Thu 24 Sept, 12:00–12:30pm, Data Products + Data Fabric Theatre. Want to talk through your own data challenges while we're there? Book an onsite meeting with our team: https://lnkd.in/dCWTa3i6 See you next week! #BigDataLDN #AI #DataEngineering

Your agents are running in production. Don't let them burn down the house. Why is AI still such a struggle? The answer is layers deep. At Demo Day on August 27, Maja Schermuly and David Tishgart showed what happens when real-time data, transactional data, analytics, caching, search, and governance sit under one control plane, reachable by agents through MCP. Every layer is open source based, with no proprietary forks, under one operating model on your choice of cloud. One platform to govern, instead of six tools to reconcile. They ended with an early look at Aiven Runtime. Recording's up: https://lnkd.in/dj8QivDM

Join us in Vienna for the first OpenSearch meetup next month 🚀 Hosted by Exoscale, alongside RISE - Research Industrial Systems Engineering, on October 13. Aiven's Dmitry Kan is speaking on "Inside OpenSearch's AI Toolkit: From Vector Search to Agents" - covering machine learning, hybrid search and RAG pipelines, agent orchestration, and the trade-offs of running it all at scale. Paul Hager (CERT.at) and David Riepl (RISE) will also talk through building security analytics with OpenSearch, from Sigma rules to MITRE ATT&CK mapping. Head to the A1 Digital office for drinks, snacks, good talks, and networking! 📍 A1 Telekom Austria AG, Lassallestraße 9, 1020 Wien RSVP and see the full agenda: https://lnkd.in/eGZGnRmG