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// CASE STUDY · CLOUD EXCELLENCE

Transforming cloud cost efficiency for a central government department

The UK’s largest government consumer of AWS was spending around $20m a year on hosting, with costs rising exponentially. We led the programme that brought them under control, saving $8m in year one and over $30m over 4 years.

IMAGE: PHOTO BY MAXIM HOPMAN ON UNSPLASH

A large directorate in a central government department was delivering an ambitious transformation of how citizens interact with government services. It was the first large-scale user of AWS in the UK, and from 2017 to 2022 the largest government consumer of AWS services in the country — averaging around $20m a year on hosting.

Rapid adoption came with a bill that rose exponentially. Delivery teams were inexperienced at running cloud compute efficiently, and they had no intuitive tooling to show them where the savings were.

As client-side partner for the directorate, we were accountable for driving down cost-to-complete across the portfolio. So we launched an initiative to bring cloud spend under control: a cost-efficiency strategy built with the platform team, then benefit realisation driven service by service.

// WHAT WE DIDA strategy on four pillars

Under our leadership the programme developed and executed a cost optimisation strategy with four parts. Standards came first, because nothing else works without them.

Standards and tagging
Cost optimisation standards documented across the portfolio, setting out the shared responsibilities each team had to meet. A tagging strategy put every cost in the right place — including allocating Kubernetes project costs to the right budget lines, so real-time reporting through AWS QuickSight could be trusted.
Usage reduction
Reducing the amount of compute consumed, rolled out progressively across the portfolio.
Rate reduction
Lowering the unit cost of the compute that remained.
Effective reporting
Giving teams visibility of their own spend, and the exception reporting to act on it.

// PILLAR TWOUsing less compute

Four usage reduction strategies, identified and then rolled out across the portfolio.

Environment scheduling — 64%
Powering environments down when nobody is using them — overnight, at weekends.
Auto-scaling — 50%
Services able to scale up and down automatically in line with real volume.
Right-sizing — 20%
Deployed resources sized to target volumetrics, rather than over-specified and running at low utilisation.
Housekeeping — variable
Tools and habits to find and shut down orphaned compute — production databases with no connections, and the like.

These are incremental, not alternatives. A right-sized, auto-scaling service that also powers down overnight compounds all three, and in combination the effect is substantial.

// PILLAR THREEPaying less per unit

AWS charges for the amount of compute used and the rate per unit. Usage reduction attacks the first; rate reduction attacks the second. Beyond enterprise pricing instruments — Savings Plans, Enterprise Discount Programmes — the biggest lever was changing the type of compute.

Spot — 70–90% vs EC2
Unused AWS capacity at a steep discount. It can be reclaimed at short notice, so it is only viable inside immutable, containerised architectures.
Reserved Instances and Savings Plans — c.30% vs EC2
Reduced pricing for committed usage, applied where Spot was not an option.

// PILLAR FOURMaking spend visible

Cost only falls when the people making the decisions can see it. We gave teams meaningful reporting on their own spend, exception reports they could act on tactically, and a view of what their costs would be if they adopted the strategies available to them.

Then we put those reports on the agenda. Efficiency and exception reporting became standing items at project and product delivery boards — which is how cost efficiency stopped being a platform team concern and became a delivery one.

// EXECUTIONTurning strategy into savings

With the strategies and tooling in place, the work became delivery. As client-side partner with both delivery and cost accountability, we led benefit realisation: portfolio-wide prioritisation of cost reduction work, visible dashboards and KPIs to create ownership, targeted and actionable exception reporting, and leaders held to account at delivery boards.

Our people also held day-to-day product management accountability for many of the major products and services in the portfolio, and were directly responsible for the technical implementation inside those teams. The strategy and the execution were not separated.

// RESULTS$8m in year one, around $30m by the end of 2022

Year one realised over $8m of savings. By the end of 2022 the figure was around $30m. Significant future cost was avoided on top of that, because new services were now being built cost-efficiently from the start.

Two firsts came out of the programme, and AWS holds the overall approach up as best in class.

The first UK government department to run Spot in production

Spot was the biggest rate lever, but it needs architecture that can lose an instance without drama. Working with the architecture teams, we drove a large shift to containerised Kubernetes services — immutable by design. Having proven graceful handling of Spot reclamation in non-production, we rolled it out to production services: the first government department globally to do so at scale, at around 70% less than standard EC2 pricing.

Shutting down 18,000 containers with one button

We introduced self-service shutdown orchestration, integrated with Slack, so teams could spin down every development and test environment overnight and at weekends. A single action powers down around 18,000 containers and 500 RDS databases, and brings them all back on a schedule in time for the next working morning — saving up to 64% of usage cost.

"Held as a beacon of success and execution by AWS globally."

— AWS GLOBAL ACCOUNT LEAD, ON THE COST REDUCTION INITIATIVE

// THE LESSONCost efficiency is a delivery discipline

The tooling and the pricing instruments are available to everyone. What made the difference here was accountability: standards teams had to meet, reporting they could act on, and cost as a standing item where delivery decisions actually get made.

Architecture matters too. Spot at 70% off is only available to organisations whose services can survive losing a node — so in the end, the cost saving was an engineering outcome.

// PRODUCT · AWS WELL-ARCHITECTED FRAMEWORK REVIEW

The same framework, applied to your estate.

Our cloud maturity assessment is built around the AWS Well-Architected Framework Review — the structured, expert-led evaluation we used on this engagement. It runs in four hours, at no cost to you.

You get your workloads assessed against all six pillars, the high-risk findings called out plainly, and a prioritised improvement plan. Where it makes sense, we go further — the deeper cost, architecture and standards work this case study describes, and the leadership to see the remediation through.

THE SIX PILLARS WE ASSESS

01
Operational excellence

How you run and observe workloads, and how you improve them.

02
Security

Guardrails, identity, encryption and what is currently getting past them.

03
Reliability

Elasticity, self-healing and whether recovery has ever been proven.

04
Performance efficiency

Right service choices, scaling strategy and where the design is fighting you.

05
Cost optimisation

Over-provisioning, retention, storage tiers and data transfer.

06
Sustainability

Efficient resource use, and the waste that scaling patterns hide.

// LET'S TALK

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