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By Olena Babenko |
TL;DR Have you ever set out to push an allegedly 15-minute fix that ended up taking multiple weeks, without even a guarantee that it would actually work? It’s happened to the best of us during our professional journeys, but this time, the story is about Apache Kafka.
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By Aiven
TL;DR Stan's experience ranges from raising millions for his own startups to working across programming, marketing, and PR. Here is how that versatile founder mindset fuels his Product Director role at Aiven today. Stan has had a lot of ownership from day one, in the most literal sense. Aiven headhunted him to build a new product from the ground up. "My onboarding was thirty minutes with my boss, who gave me a handful of really good and original ideas, he says. "After that, I had to figure it out.
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By Dirk Krautschick |
Let's start with an uncomfortable question that tends to surface exactly once, usually in front of an auditor, a customer's security team, or your own CISO: who can actually decrypt your data right now? For most managed databases and message queues, the honest answer is "the provider, technically, if they really wanted to." That's not a scandal. It's just how managed encryption-at-rest normally works: the provider generates the key, holds the key, rotates the key, and you trust them not to misuse it.
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By Tony Piazza |
TL;DR If most of your Snowflake or Databricks spend goes to dashboards and reports, you are paying for a platform built for much bigger problems. Aiven for ClickHouse runs those workloads on a fixed plan, so adding dashboard users does not add to your compute bill. Native integrations with PostgreSQL and Apache Kafka also replace most of the ingestion and orchestration tools around your current platform. Move one dashboard at a time, and keep Snowflake or Databricks for work such as model training.
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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
Aiven and SFEIR walk through what a governed, AI-ready foundation for product data looks like, and what it actually takes to build one. We'll be joined by Céline Thooris, Managing Director of WEnvision (SFEIR group), and Stan Dmitriev, Product Director for Aiven Context, sharing a first-hand view from the field and a concrete next step. What to expect.
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By Aiven
My interview guest is Kristiyan Ivanov creator of BetterDB. In this conversation we talk about building tools to observe Valkey and Redis as well as AI Observability, the Valkey Community and More! Learn more about 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
Fireside chat between Jay Miller, Developer Advocate at Aiven and Dima Kan, Staff Product Manager for OpenSearch about the role of search in AI. 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
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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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.