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Understand cross-AZ and egress costs, then reduce them

Understand cross-AZ and egress costs, then reduce them

Understand cross-AZ and egress costs, then reduce them

The agent breaks down data transfer by provider, service, account and team, flags jumps and points to the architecture choices behind them.

Runs in

Claude · Slack

First optimization recommendation

The next day

ROI

Pays for itself with the first recommendation you act on

What drove cross-AZ data transfer last month, by service and team?

› get_context

› get_context

› query ↗ Explorer

› query ↗ Explorer

Cross-AZ transfer: €7,300 last month, 46% of it between search-api in eu-west-1a and Elasticsearch nodes in 1b/1c. Zone-aware routing for read traffic could remove most of it.

The service team decides on placement, caching or routing changes.

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

Cross-AZ or egress cost jumps on a service.

Costory investigates

01

Analyze transfer

The network cost template shows cross-AZ, egress and transfer drivers.

02

Attribute

Allocate transfer to teams and services.

03

Correlate

Deploys and traffic metrics explain jumps.

04

Recommend

Claude suggests placement, caching or routing changes.

Where you see it

Claude

You decide

The service team decides on placement, caching or routing changes.

Why it matters

Network costs are the hardest line to explain: they show up on the service that sends the data, not the one that caused it.

Who it’s for

Platform engineers, SREs

Where it runs

Claude · Slack

What you get

What lands in front of your team

An explained network bill

Transfer by driver and owner.

Architecture options

Placement and caching suggestions.

Measurable changes

Track transfer after each change.

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

What drove cross-AZ data transfer last month, by service and team?

Recommend

For the top 3 cross-AZ flows, propose architecture changes and estimate the impact.

FAQ

Questions about this playbook

Does Costory guarantee savings?

No. The agent investigates and recommends with the evidence attached; your team decides what to change. Impact figures are estimates based on your own data.

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