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Confluent and Aiven costs by cluster and team

Confluent and Aiven costs by cluster and team

Confluent and Aiven costs by cluster and team

Import Confluent Cloud and Aiven billing and allocate streaming and managed database costs to teams.

Runs in

Claude · Slack

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Costory app dashboard 'BQ pricing change': monthly cost breakdown bar chart by charge description with events, a cost distribution donut and a cost details table, in the demo workspace

Playbook

What the agent does

From what Costory notices to what you decide. Costory suggests the next step in conversation, and you decide whether to go ahead.

Costory notices

A shared cluster's cost or throughput mix changes.

Context used

Throughput per service on shared clusters, by cluster and environment, used for the usage-based split.

Throughput per service on shared clusters, by cluster and environment, used for the usage-based split.

Remembered

The split method and the owners of each shared cluster are defined in your Context layer.

The split method and the owners of each shared cluster are defined in your Context layer.

Costory investigates

01

Connect

Confluent Cloud billing and the Aiven Billing API.

02

Put in context

Throughput per service on each shared cluster shows which services drive the cost, before the split.

03

Break down

By cluster, environment and service.

04

Allocate

Usage-based splits for shared clusters.

05

Report

Per-team streaming costs.

Where you see it

Claude

You decide

Data platform validates the split.

Why it matters

Kafka clusters and managed databases are shared by design. Their cost is rarely split.

Who it’s for

Data platform teams, platform engineers

Where it runs

Claude · Slack

What you get

What lands in front of your team

Streaming costs, owned

By team.

Cluster-level detail

Where the spend goes.

Next to cloud

One cost model.

Sources and assistants

What it connects

The billing data, context and assistants this playbook uses. Each links to its setup page.

The billing data, context and assistants this playbook uses. Each links to its setup page.

Example prompts

Or drive it yourself

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

The agent runs this on its own once set up. These prompts open in Claude, pre-filled, to set it up, review it or dig into a result.

Break down

Show Confluent and Aiven costs by cluster and environment for the last quarter.

Split

Propose a usage-based split of the shared Kafka cluster across teams.

FAQ

Questions about this playbook

Which platforms are supported?

Snowflake, BigQuery, Datadog, Confluent, Aiven, Elastic Cloud, ClickHouse, Cloudflare and more, plus any FOCUS-formatted billing data in BigQuery.

How long does this playbook take to set up?

Connecting your billing data and the Costory MCP takes under 30 minutes with Terraform or CloudFormation. The playbook itself takes minutes: pick the scope, the trigger and the Slack channel. The first billing data lands the next day, and the agent starts from there.

Can we adjust what the agent does?

Yes. You choose the trigger, the scope (team, service, environment), the channel and the format, and you can pause or change it at any time.

Does Costory change anything in our cloud accounts?

No. Costory reads billing exports and the metrics you connect, and has no write access to your cloud. Actions it takes create Costory objects only: alerts, reports, dashboards and events. Your team stays in control of every change.

Step-by-step guide in the Costory docs

Put this playbook on call

Included in every plan, from €250/month. 30-day free trial: connect in under 30 minutes, get your first optimization recommendation the next day.

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

Setup

About 30 minutes

Data residency

EU

Access

Read-only on your cloud