ArchShift Request access ↗

Structural AWS cost optimisation

Your AWS costs have
an architecture problem.

ArchShift observes how your infrastructure actually behaves, then finds lower-cost architectures that deliver the same workload outcome.

Request early access →See how it works ↓

The cost shift

Find the spend hidden
in the structure.

Current

Invoice worker

≋SQSEvents
→
▦ECS FargateAlways on
→
◫RDSPrimary

£4,130 / month

Proposed HIGH CONFIDENCE

Event-driven worker

≋SQSEvents
→
λLambdaOn demand
→
◫RDSPrimary

£1,080 / month

↓ £36k estimated annual saving

A different cost question

Cost optimisation has a blind spot.

Most cloud tools make individual resources less expensive. ArchShift finds where the architecture itself is creating unnecessary AWS spend.

Traditional optimisation

How can we make this ECS service cheaper?

  • Rightsize resources
  • Buy commitments
  • Improve utilisation
  • Find idle resources

ArchShift

Should this ECS service exist at all?

  • Question the architecture itself
  • Evaluate alternative AWS services
  • Model cost and constraints
  • Explain migration risks

How it works

Measure first.
Reduce second.

  1. 01

    Connect

    A purpose-built, read-only AWS role. No production changes.

  2. 02

    Observe

    Resources, relationships, CloudWatch telemetry and AWS costs.

  3. 03

    Model

    What the workload needs — and what it is costing today.

  4. 04

    Reduce

    Lower-cost alternatives evaluated against real trade-offs.

Example saving

Evidence before
a cost recommendation.

COST RECOMMENDATION • HIGH CONFIDENCE

Replace invoice-worker ECS service with Lambda

Estimated saving£35,400/ year
CurrentSQS → ECS Fargate → RDS
ProposedSQS → Lambda ARM → RDS

Evidence

  • Average ECS CPU: 7%
  • Workload is highly bursty
  • SQS already provides the workload boundary
  • Execution duration appears Lambda-compatible
  • No persistent local state detected

Principles

Cost savings engineers can trust.

01

Evidence, not guesses

Every saving is backed by observed configuration and telemetry.

02

Model before recommending

Lower-cost alternatives are evaluated against technical constraints.

03

Human-controlled

ArchShift recommends cost changes. Engineers decide what gets implemented.

04

Continuous

As workloads change, new cost-saving opportunities emerge.

Early access

Find the cost your AWS
architecture is hiding.

Request early access →