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By Anton Agestam |
Apache Kafka's documentation and operational lore for KRaft are clear on one point: you shall never lose controller quorum. It is good advice, because a Raft quorum that can no longer elect a leader cannot commit metadata, and a Kafka cluster without a functioning controller cannot create topics, change ACLs, elect partition leaders, or otherwise make progress on its control plane.
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By Yonatan Dvir |
Base44 is fast at the part that used to take a week. Describe an application, and you have a working interface in minutes. Base44's built-in Cloud backend, enabled by default, is a reasonable place to start. But it doesn't put your data in an account you already own, in the cloud and region you picked, next to the rest of your data platform. That's the gap this post closes.
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By Cara Baestlein |
Everything that makes an app or agent real happens after it works on your machine. Locally coding an app is a joy: hot reload, a seeded database, a mocked API key. Then you go to ship it, and "deploy" quietly expands into a Dockerfile that behaves in CI, somewhere to actually run the container, a database it can reach, TLS, secrets wired into the environment, and a pipeline to hold it all together. The feature took an afternoon. The plumbing takes the rest of the week.
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By Alex Mercer |
Software used to be built by engineers. Not any more. Low-code tools brought in domain teams. AI copilots brought in everyone else. And now agents are building and acting alongside humans; marketing, finance, HR and legal are all shipping the apps they used to file tickets for. The number of people (and things) building on your data has exploded, and it isn't slowing down. And there's no single, standardized way to build, there likely never will be.
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By Dima Kan |
TL;DR If you work on search relevance, you know the feeling. You ship a synonym. You boost a field. You add a vector model. You stare at a judgment set that was labeled six months ago and hope the next NDCG number moves in the right direction. Somewhere between offline metrics and production traffic, a quiet gap opens: you optimized for what you think users want, not for what they actually do when the results appear. That gap is not a failure of effort. It is a missing feedback loop.
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By Stan Dmitriev |
Ask a simple question "who are our most profitable customers?" and things fall apart. The data lives in six systems, nobody agrees which table is canonical, the column called profit is actually revenue, and the business rules that matter live in someone's head or a Confluence page nobody's touched since 2023. Now point an AI agent at that same mess.
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By Aiven
TL;DR Katja Rantala thought her dream job involved international relations and diplomacy. Turns out leading people and companies through change is what she was meant to do. “Some days everything is on fire and it's a catastrophe. The important question is whether the big picture moved.” That is Katja Rantala's description of what it is like to work in an environment that keeps changing shape.
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By Roman Pozdnyakov |
Lovable is fast at the part that used to take a week. Describe an application, and you have a working interface in minutes. Lovable already has an answer for the backend. Its built-in Cloud backend is enabled by default and runs on Supabase's open-source foundation, and you can connect your own Supabase project instead. Both are reasonable places to start. Neither puts the database in an account you already own, in the cloud and region you picked, next to the rest of your data platform.
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By Stuart Mould |
New pricing for Aiven for Apache Kafka is now live for all new customers on AWS, GCP and Azure. For our existing customers: nothing changes. When choosing your cluster you are guided by three things: And you pay for three things.
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By Dima Kan |
TL;DR Aiven contributed GCP support and private networking to the open source OpenSearch Migration Assistant, previously an AWS-only tool. Delivered via five Terraform-based PRs, the changes add a GKE deployment path and let regulated industries migrate without using the public internet - giving Elasticsearch, OpenSearch, and Solr users on GCP a supported route to Aiven for OpenSearch.
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By Aiven
Aiven DataHub is a managed data catalog that helps you and your agents find, understand and reason on top of your data in data sources like PostgreSQL, ClickHouse, Kafka or BI Tools. In this video Stan dives into Aiven DataHub and shows how to set it up so context is derived from metadata, or the lineage between services. He also dives into examples on how to get deeper insights about your data through prompting Aiven DataHub.
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By Aiven
Diskless moves Kafka replication into object storage, removing cross-AZ fees. See how diskless topics work, then create one live on Aiven for Apache Kafka. AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.
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By Aiven
Wolt operates in 30+ countries. Every order, every restaurant, every courier runs on the same infrastructure. When it breaks, it doesn't slow things down, it stops everything. Wolt's VP of Engineering shares why Apache Kafka sits at the heart of their platform, what seven years of partnership with Aiven looks like in practice, and how they're building the data foundation needed to get AI working at scale.
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By Aiven
The Aiven MCP connects Claude, Cursor, and VS Code to Apache Kafka. Inspect topics, track consumer lag, stream a database in with CDC, and manage your cluster. AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.
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By Aiven
The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.
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By Aiven
You're gonna want a cache. Aiven for Valkey's Dev Tier gets you 2 CPUs and 4 GB RAM on a single node, with automated backups, full monitoring (metrics + logs), and basic support included. JSON, Bloom filters, and Search come pre-enabled. AIVEN DATA PLATFORM The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.
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By Aiven
Nobody has much nice to say about MirrorMaker. Cross-cluster replication has been one of Kafka's sore spots for years, and KIP-1279 is the community's attempt to finally fix it. This episode I'm joined by Omnia Ibrahim, Software Engineer at Apple and Apache Kafka Committer, to talk about what's actually broken in multi-cluster Kafka today, what KIP-1279 changes, and what teams running active-active or active-passive setups should do in the meantime.
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By Aiven
Kafka migrations get talked about like they're impossible. They aren't. They're a sequence of decisions, preparations, and good compromises - plus a working playbook. In this session, Dirk runs a real Confluent Cloud-to-Aiven migration live. Top to bottom: target Kafka cluster deployment, MirrorMaker 2 setup, replication flow and offset handling, and a staged cutover that keeps producer and consumer downtime to almost zero.
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By Aiven
Want to build context-aware AI agents with production-ready databases? In this video, we dive into the brand-new Aiven MCP (Model Context Protocol) and show you how to instantly connect your AI assistants to fully managed PostgreSQL and Apache Kafka with zero custom code!
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By Aiven
Can a knowledge graph do more than store facts — can it actually run your agent? In this talk from Context is King in London, Teodoro Baldazzi (Principal AI Engineer at Prometheux) makes the case for ontologies as executable context: structured knowledge that doesn't just inform AI agents, but actively shapes how they reason and act. Context is King is a meetup series co-organized by Flow AI and Aiven for engineers shipping AI agents in production. No pitches — just real implementation stories.
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Aiven provides managed open source data technologies on all major clouds.
With Aiven, developers can do what they do best: create applications. Meanwhile, we do what we do best; manage cloud data infrastructure. We enable customers to drive business results from open source that trigger true transformations.
Currently, we offer Apache Kafka, Apache Cassandra, PostgreSQL, MySQL, OpenSearch, Redis, InfluxDB, Grafana, and M3 in more than 90 regions around the world on AWS, GCP, Microsoft Azure, DigitalOcean, and UpCloud cloud platforms.
Make the most out of open source with Aiven:
- Focus on development: Developers can do what they do best: create applications. We do what we do best: manage cloud data infrastructure.
- No vendor lock-in: All solutions are open source. You can also freely move data between clouds or create multi-cloud environments.
- Predictable pricing: Know exactly how much you’ll be paying and why. We bundle networking, storage and basic support costs together.
- 99.99% uptime SLA: We are committed to keeping your Aiven software online. If there’s ever an issue, we’ll be there to fix it.
Freedom to build awesome applications.