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Cloud & DevOps
Growth should not arrive with an unpleasant invoice.
Cloud makes scale possible and cost invisible. We build platforms that stay up under real load, ship changes daily, and produce a bill your finance team can explain line by line.
−41%
cloud costMedian reduction after architecture review
99.95%
uptimeAcross platforms we operate
18x
release rateDeployment frequency after CI/CD rebuild
The bill nobody could explain.
A client's cloud spend had grown 240% in two years while their transaction volume had grown 60%. Nobody in the business could account for the difference. Engineering assumed finance was monitoring it; finance assumed engineering understood it; the invoice arrived monthly and was paid without examination because it was categorised as infrastructure.
Two weeks of review found the usual suspects: oversized non-production environments running overnight, storage tiers never rotated, a data pipeline rebuilding everything hourly because incremental logic was harder to write, and three abandoned proof-of-concept clusters still running. Cost fell 41% within a month and performance improved, because most of the waste was also slow.
We now treat cost as a first-class engineering requirement alongside latency and availability. It is attributed per workload, visible to both engineering and finance, and reviewed monthly. Money is a system metric, not an accounting afterthought.
They cut 41% out of our cloud bill and our platform got faster. I had assumed those were opposites.
The platform work that keeps value running.
An AI system or application only creates value while it is available, fast and affordable to operate. That is this practice's entire remit.
Cloud architecture & migration
Design and migration across AWS, Azure, GCP and Cloudflare with a staged plan that does not put the operation at risk on a single weekend.
Kubernetes & container platforms
Production-grade clusters with autoscaling, network policy, secrets management and the operational tooling teams need to run them safely.
CI/CD & release engineering
Automated build, test, security scanning and progressive deployment so releasing becomes routine rather than an event requiring a weekend.
SRE & observability
Service level objectives, tracing, alerting that fires on user impact rather than CPU, and incident practice that shortens recovery.
Platform security
Identity, least-privilege access, secret rotation, network segmentation, vulnerability management and audit-ready evidence.
Cloud cost engineering
Per-workload cost attribution, rightsizing, commitment planning and architectural changes that reduce spend rather than just reporting it.
How platform work shows up in the business.
Each of these is written into the engagement as a number with an owner, a baseline and a review date.
OUTCOME 01
Downtime stops costing revenue
For transactional businesses, availability is directly monetisable. Moving from frequent degradation to 99.95% availability is often the clearest value line we can measure.
OUTCOME 02
Ideas reach customers faster
When releasing is routine, product teams stop batching changes into risky quarterly events. Time-to-market improvement compounds across every initiative that follows.
OUTCOME 03
Infrastructure spend becomes controllable
Attribution turns an unexplained monthly invoice into a set of decisions with owners. The savings recur every month without further effort.
Infrastructure your team can operate.
- Infrastructure as code in your repositories, reviewed and documented
- CI/CD pipelines with automated testing and security scanning
- Observability stack with SLOs, dashboards and actionable alerting
- Runbooks, incident procedures and on-call structure
- Cost attribution model and a prioritised savings backlog
- Training and paired operation with your platform engineers
The engineering underneath.
Numbers from work already in production.
Measured against the baseline agreed with the client before the engagement started.
−41%
Cloud cost reductionMedian across architecture reviews
18x
Deployment frequencyAfter CI/CD and test automation rebuild
−58%
Mean time to recoveryFollowing SRE and observability work
What engineering and finance leaders ask.
- 01. Can you reduce our cloud bill without a rebuild?Usually a meaningful part of it, yes. Rightsizing, scheduling, storage tiering and commitment planning deliver quickly. Deeper savings sometimes need architectural change, and we separate the two clearly with the effort and return for each.
- 02. Do we need Kubernetes?Often not. Managed services and serverless are cheaper to operate for many workloads, and we will say so. We deploy Kubernetes where scale, portability or workload variety genuinely justifies the operational burden.
- 03. Will you take on-call for us?Yes, through managed support, with follow-the-sun coverage across three time zones. Many clients keep on-call themselves and use us for escalation and platform improvement.
- 04. How do you avoid a risky migration?We migrate incrementally with the ability to roll back at every stage, run both environments in parallel where possible, and rehearse cutover before it matters. Big-bang migrations are how weekends become incidents.
Where to go next.
Send us last month's cloud invoice. We will tell you what you are paying for twice.
A two-week platform review covers architecture, reliability, delivery pipeline and cost, and returns a prioritised plan with the saving and effort for each item.
