Operations | Monitoring | ITSM | DevOps | Cloud

AI inference, explained through one question

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.

Bot Traffic: Why Your Analytics and Your Server Log Show Two Different Websites

Your analytics says 412 visitors last month. Your hosting panel says 38,000 requests. Neither number is broken, and most of the gap between them has a name. Here's what's going on, and how to measure it on your own site in fifteen minutes.

Centralizing logs: Apache Kafka + OpenSearch

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.

Introducing Aiven AI Gateway

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.

How Connected Equipment Data Helps Teams Catch Problems Earlier

An undetected equipment fault can escalate into costly downtime or an emergency repair. Connected equipment data can help IT operations teams catch problems earlier, while they're still minor. Your results depend on how telemetry moves from device to platform, how baselines define normal behavior and how alerts reach the right maintenance personnel.

AWS saw the value of expanding support for Google Cloud #aiven #opensource #shorts

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.

How easy is it to deploy a FastAPI Web App to Aiven Runtime?

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.

Observability is a data problem

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.