Make cloud spend easier to understand and govern

Cloud Cost Optimization

A focused FinOps review to identify waste, improve decisions, and establish lasting cost visibility.

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Why this work matters

Remove the infrastructure friction that is holding back delivery.

Cloud cost becomes hard to manage when ownership, usage signals, and architecture choices are disconnected.

Cost visibility connected to infrastructure ownership

A practical backlog of optimization decisions

Cost controls that preserve performance and delivery needs

What we actually do

Engineering work that fits the system you need to run.

Cloud Cost Optimization should make delivery and operations easier to govern, not add a layer of opaque tooling. We assess the current estate, clarify priorities with your team, and design an incremental path that fits your product, risk profile, and operating model.

01

Infrastructure assessment and idle-resource review

Designed around your existing architecture, team boundaries, and production requirements.

02

EC2 and EBS right-sizing

Designed around your existing architecture, team boundaries, and production requirements.

03

ECS, EKS, and Fargate optimization

Designed around your existing architecture, team boundaries, and production requirements.

04

S3 lifecycle and database cost review

Designed around your existing architecture, team boundaries, and production requirements.

05

Reserved Instance and Savings Plan analysis

Designed around your existing architecture, team boundaries, and production requirements.

06

Autoscaling and cost monitoring recommendations

Designed around your existing architecture, team boundaries, and production requirements.

Service scope

What an engineering-led cost review examines

Cost decisions are checked against workload demand, service ownership, performance, resilience, and recovery needs. The goal is to identify decisions that can be changed safely, not to reduce resources without evidence.

Scope and deliverables

  • Cost allocation, ownership, and environment inventory
  • Compute, container, database, storage, network, and backup usage review
  • Rightsizing, autoscaling, lifecycle, and commitment decision analysis
  • Prioritized recommendations with validation and rollback considerations

Useful customer inputs

  • Read-only billing and cloud inventory access where appropriate
  • Application and environment ownership information
  • Utilisation, traffic, database, and incident context
  • Known growth plans, availability requirements, and existing commitments

Operational considerations

  • Compare cost changes with latency, error rate, saturation, and recovery requirements
  • Implement changes through a reviewable change path
  • Keep intentional resilience or compliance spend distinct from unused capacity

Scope boundary: A cost review does not guarantee savings or recommend removing capacity that supports defined reliability, recovery, compliance, or product commitments. Commitment purchases require an agreed workload baseline.

Technical path

A continuous FinOps decision loop

A clear sequence makes handoffs, controls, and operational responsibilities easier to see before the work begins.

Our approach

Progress in deliberate, reviewable stages.

We leave behind clearer decisions, usable documentation, and an operating model your team can continue to develop.

  1. 01

    Discover

    Understand the workload, delivery workflow, ownership boundaries, and constraints that shape the work.

  2. 02

    Assess

    Identify the reliability, security, scalability, and operational gaps that matter most.

  3. 03

    Design

    Define a practical target state, implementation sequence, and the decisions that need team alignment.

  4. 04

    Implement

    Deliver changes in small, reviewable stages with clear configuration and handover.

  5. 05

    Validate

    Test the operating path: deployment, visibility, recovery, access, and change controls.

  6. 06

    Optimize

    Use production signals and team feedback to make the next improvement more deliberate.

Where we can help

Common scenario

Cloud spend is increasing, but the team needs an engineering-led review rather than arbitrary cuts.

Discuss this scenario

Relevant tools & technologies

Selected for the work at hand.

AWS Cost ExplorerCloudWatchECSEKSTerraform

Technology choices are made for workload fit and team ownership, not vendor labels.

Related services

Explore the capabilities around this work.

AWS Cloud Services

AWS infrastructure design, automation, and operational support for modern applications.

Cloud Consulting

Cloud architecture and operating-model guidance grounded in real workloads.

Cloud Monitoring & Observability

Observability design that helps teams detect, investigate, and act on service behavior.

Managed Cloud Operations

Ongoing cloud operations that bring disciplined maintenance, monitoring, and incident response support.

Recommended reading

Technical context for this decision.

AWS Cost Optimization: A Practical Infrastructure Review Checklist

A repeatable way to examine cloud spend without reducing the reliability signals your team needs.

Cloud Cost Optimization Without Compromising Performance

Cloud cost optimization is an engineering review of what capacity is required, what is idle, and what risk a change would introduce. It should not be a blanket instruction to reduce every resource size.

ECS vs EKS: How to Choose the Right Container Platform

Compare AWS-native container paths through operational responsibility, portability, and delivery requirements.

Questions, answered

Cloud Cost Optimization FAQ

The exact scope depends on the workload and your current operating model. These questions are useful places to start.

Can cloud cost be reduced without affecting reliability?

Often there are opportunities, but every recommendation needs validation against workload peaks, latency, recovery requirements, and operational risk. Savings are not assumed or guaranteed.

Do you only review AWS?

The approach applies to cloud environments generally. The available service data includes AWS cost tools and services, while the review is grounded in the actual platform and workload.

Should Savings Plans or Reserved Instances be purchased first?

Usually not. Commitments are considered after the team understands stable usage, expected platform changes, account scope, and the flexibility it is willing to trade for a lower rate.

Start the conversation

Let's improve the infrastructure behind your product.

Bring us the operational problem, delivery goal, or cloud decision you need to move forward.

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