Control

Choose which cloud savings are worth pursuing.

Bring vendor recommendations and your own optimisation rules into one list with estimated savings. Review opportunities in the context of the workloads and services your business needs.

Printed Azure, AWS and Google Cloud invoices reviewed against an estimated savings summary

Optimisations, unified

View recommendations from supported cloud vendors alongside Cloud Ctrl's own recommendations in one screen.

Make potential visible

See estimated savings, then weigh each opportunity against workload needs and the effort to make a change.

Tweak them your way

Add house rules that reflect how your organisation actually runs—reservations, licensing, internal standards.

Australian data residency

Cloud Ctrl is built and hosted in Australia. Usage and billing data stays in Australian-hosted infrastructure, and a customer-controlled Azure deployment remains available for stricter requirements.

Prioritise

From long list to short list

Multi-cloud means multiple recommendation feeds, each with its own currency, sizing and confidence. Recommendations normalises them into one queue with estimated annual savings.

Use the estimates to focus your review. Check workload requirements and business priorities with the responsible team before making changes.

Recommendations list with estimated savings
Customise

Your house rules count too

Vendor recommendations do not capture all your business context. Custom rules let experienced operators bring commitments, licensing and internal standards into the review.

Custom recommendation rule configuration
How it works

From data to decision in four steps

  1. 01

    Collect

    Vendor recommendations and custom rules arrive in one queue.

  2. 02

    Prioritise

    Review estimated savings alongside workload needs, effort and risk.

  3. 03

    Decide

    Agree which changes to pursue with the team responsible for the workload.

  4. 04

    Review

    Use cost trends to review spend after a change, allowing for other usage and rate movements.

Get started

Find out what your data can tell you.