> Cloud Cost Optimization
Cloud FinOps · Optimisation

Cloud Cost Optimization

Continuously reduce cloud spend through rightsizing, commitment optimisation, workload governance, automation and AI-powered visibility — without disrupting engineering velocity.

20 – 35 %

Average optimisation opportunity identified across cloud estates.

92 %+

Commitment utilisation target — RI, Savings Plans, CUDs.

Monthly

AI-powered optimisation dashboards, narrative reporting, executive view.
The problem we solve

Most cloud waste isn't hidden. It's ignored.

Organisations already have billing dashboards, CSP recommendations and optimisation reports. The findings sit there.

Zombie resources stay live. Oversized workloads persist. RI and Savings Plan portfolios drift. Environments run 24/7 for no reason. Engineering doesn’t own cost. Optimisation backlogs never get executed.

Cloud optimisation fails when it becomes a reporting exercise instead of an operational discipline.

The four optimisation principles

A continuous optimisation engine. Not a quarterly clean-up.

Four principles, run continuously — not a six-month project that ends.

Eliminate waste

idle compute
unattached storage
zombie resources
duplicate environments
orphaned snapshots
unused licenses

"The fastest savings come from resources nobody realised still existed."

Buy smarter

RI optimisation
Savings Plans
portfolio balancing
BYOL strategy
rate negotiation

"Commitment strategy should reduce cost exposure — not create it."

Engineer efficiently

rightsizing
autoscaling
Kubernetes optimisation
storage tiering
architecture efficiency
workload scheduling

"Sustainable optimisation happens inside engineering decisions — not outside them."

Automate continuously

scheduled shutdowns
policy enforcement
auto-remediation
anomaly detection
budget alerts
automated governance

"Optimisation should continue even when nobody is watching the dashboard."

FinOps Lifecycle

01

Detect

Continuous spend analysis across cloud environments. Anomalies surfaced, savings backlog built.
02

Prioritise

Rank opportunities by savings potential, engineering effort and operational risk. Remediation lifecycle managed.
03

Execute

Coordinate with platform and engineering teams. Implementation owned, not handed off as a recommendation.
04

Govern

Track realised savings, optimisation velocity, compliance. Monthly cadence. Feeds back into Detect.
Ready to talk
Want to know how much cloud waste is operationally recoverable?

A consultation focused on current optimisation maturity, commitment strategy, engineering accountability, automation readiness and waste visibility — with an indicative savings range, optimisation priorities and an implementation complexity estimate.

 
What you'll get