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By Cara Baestlein |
Say you want to build an agent that resolves support tickets against your own data. Not a demo against a toy dataset, an agent that actually runs in production. The agent itself is maybe a day of work.
TL;DR Part 0 of a three-part series on building a documentation assistant with Aiven. This part gives you the vocabulary. Part 1 is the architecture. Part 2 builds the thing. Almost everything written about large language models explains how models get built. Very little explains what happens the other billion times, when a finished model sits there answering questions. That second thing is called inference, and it is where practically all of the engineering work actually lives.
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By Tony Piazza |
TL;DR Aiven for OpenSearch is where you search logs from every service, with OpenSearch Dashboards included and a built-in integration for Aiven service logs. When several destinations need the same logs, or traffic bursts and mapping changes put logs at risk, put Aiven for Apache Kafka in front: applications write once, Kafka buffers and replays, and sink connectors route logs to OpenSearch, object storage and Aiven for ClickHouse.
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By Filip Yonov |
At home I run fully automated coding loops on a few side projects. They use more than 100-million tokens a day. At Claude Opus 5.5 prices, that costs more than $5,300 a month. For hobby projects. The same usage on DeepSeek V4.1 Flash cost about $330 a month, one sixteenth of the price. If we want to keep scaling how much we use AI, most of those tokens have to run on open models, period.
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By Tony Piazza |
TL;DR Metrics, logs, and traces each have a different shape, so each needs a different backend. Aiven for Metrics handles metrics and alerting, Aiven for OpenSearch handles keyword search across logs, and Aiven for ClickHouse handles analysis of high-volume, high-cardinality events. All three are upstream open source engines on the same Aiven platform, so you can start with one and add the others as your needs change.
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By Tibs (Tony Ibbs) |
TL;DR Most of the time we understand the tasks we're working on, but inevitably something comes up that we don't know much about, and we need just enough skill to cope. That used to mean reading paper documentation, then searching vendor sites and the web. Now it tends to mean a dialog with an LLM that has already ingested the documentation we don't have time to find and read. That's only half the problem, though.
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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 Aiven
Tony’s first RFC landed in AWS’s OpenSearch migration project, a few people inside AWS asked, “Who’s this guy?” The first AWS maintainer he spoke with saw the value add Google Cloud support, and next, build the Terraform solution their customers want. AWS got what its customers asked for. Aiven customers benefited with being able to choose and so did anyone running OpenSearch on Google Cloud, even self-managed or with another vendor.
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By Aiven
For years Aiven has been an incredibly easy way to deploy your favorite open source databases... Now we're working to make it easier to deploy Apps too! Chapters 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 Senior Solutions Architect Tony Piazza joined the company in March. Within months he had merged five PRs adding Google Cloud support and Terraform-based provisioning to the OpenSearch Migration Assistant, a tool that previously only worked on AWS. Tony talks with Jay Miller about: Why he went from consulting to open source contribution. How a consultant’s habit of finding project risks early shaped the work. His first conference keynote at OpenSearchCon. What contributing as a vendor-neutral company looks like. Where he’s contributing next, including ML Commons, Data Prepper and the docs.
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By Aiven
LLM providers charge you for caching, and they do it on their terms. You can run it yourself for a fraction of the cost. In this Aiven webinar, Jay Miller (Staff Developer Advocate) shows how to use semantic caching and semantic routing on Valkey to cut prompt costs + latency. You'll see a working demo, "Template Scout", that searches GitHub for deployable repos and picks the cheapest model that can answer each question.
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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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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.