01
Everything is code
Infrastructure, policies, pipelines and dashboards live in git. If it cannot be reviewed in a pull request, it does not go to production.
AWS/Azure/Google Cloud/Kubernetes/Terraform/Docker/PostgreSQL/ClickHouse/Kafka/TypeScript/React/Node.js/.NET/Python/Grafana/Prometheus/GitHub Actions/Cloudflare/Snowflake/ISO 27001/
0+
projects delivered since 2016
0.00%
average measured availability
0/7
engineering on-call coverage
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countries our clients operate in
// core practices
Six practices covering the whole life of a corporate IT system
We deliberately do not try to cover everything. Pick a practice below to see how we work, what lands in your hands at the end, and the numbers we hold ourselves to.
service / cloud
Cloud infrastructure
Environments that rebuild themselves from a git repository
We design landing zones, migrate workloads off ageing virtual machines and turn ad-hoc environments into reproducible infrastructure code. Before a single resource is created we map dependencies, data flows and the failure modes that would actually hurt the business.
Once live, the platform is governed: budgets and tagging make spend attributable per team, autoscaling matches capacity to real traffic, and restore drills prove that backups are more than a checkbox.
What you receive
- ▸Landing zone with network segmentation and IAM baseline
- ▸Terraform modules and GitOps deployment workflow
- ▸Backup, restore and disaster-recovery runbooks with tested RTO/RPO
- ▸Cost dashboard with monthly optimisation review
Targets we commit to
20–40%
typical cloud spend reduction
< 15 min
full environment rebuild
99.95%
availability target
AWSAzureGCPTerraformKubernetesCloudflare
// operating principles
Four rules behind every system we run
02
Measured, not assumed
Every engagement starts with baselines — latency, error budget, cost per environment — so improvement is a number, not a feeling.
03
Reversible by design
Progressive rollout, feature flags and rehearsed rollback. A bad release should be a five-minute inconvenience, never an incident.
04
Secure by default
Least privilege, mandatory MFA, rotated secrets and scanning inside the pipeline — security that engineers do not have to remember.
// infrastructure
Infrastructure without surprises
Most outages in corporate systems are not caused by exotic failures but by missing repeatable processes: manual changes in production, unknown configuration state, backups nobody ever restored. Every engagement starts with an inventory and a written picture of the current state — only then do we change anything.
All infrastructure is described as code, every change passes review and automated checks, and disaster recovery is rehearsed against realistic scenarios: region loss, corrupted database, expired certificate, compromised credential. The result is a predictable cost of ownership and calm Friday releases.
- Terraform modules, Kubernetes and GitOps deployment workflows
- Monitoring, structured logging and alerting with named owners
- Disaster recovery plan with measured, rehearsed RTO and RPO
- Cost attribution per team, environment and product line
// security
Security as daily practice
Data protection cannot be bolted on at the end of a project. Dependency scanning, static analysis and secret detection run inside the delivery pipeline, access is granted on a least-privilege basis, and multi-factor authentication is mandatory for every human and machine identity that touches production.
For clients processing personal data of EU and UK residents we prepare records of processing, impact assessments and incident response procedures aligned with GDPR and UK GDPR — and then rehearse them, because an untested procedure is a document, not a defence.
Detect
Centralised logs, correlation rules, 24/7 alert routing
Contain
Automated credential revocation and network isolation
Recover
Clean-room restore from verified immutable backups
Learn
Blameless post-incident review with tracked actions
// delivery process
How an engagement runs
A transparent four-stage process. Each stage ends with a concrete document or a working result that stays with the client, whether or not we continue together.
- 1
Audit and goals
week 1–2We review current systems, processes and constraints, interview the people who actually operate them, and agree measurable goals: release speed, availability, infrastructure cost, incident volume.
- 2
Architecture and plan
week 2–4A technical solution, a timeline and a budget with trade-offs explained in writing — one document that makes sense to engineers and to the finance director alike.
- 3
Implementation
month 2+Two-week iterations, each closing with a demo in a real environment. Code, infrastructure and documentation land in your repository from the first commit.
- 4
Operations and growth
ongoingWe either run the system under an SLA or hand it to your team with training, runbooks and a scheduled review cadence for the following year.
// engagement models
Three ways to work with us
2–3 weeks
Discovery sprint
A fixed-scope review of architecture, delivery process and risk, ending with a written plan for 3, 6 and 12 months.
- ▸Systems and access inventory
- ▸Risk and cost findings
- ▸Prioritised roadmap
3–9 months
Project delivery
A dedicated squad building and shipping a defined outcome, with demos every two weeks and full handover at the end.
- ▸Architecture and implementation
- ▸CI/CD and test automation
- ▸Documentation and training
rolling SLA
Managed operations
We run the platform: monitoring, on-call, patching, capacity and continuous improvement under agreed service levels.
- ▸30-minute critical response
- ▸Monthly service report
- ▸Quarterly improvement plan
// industries
Where our work lands
Different sectors break in different ways. These are the environments we know well enough to ask the right questions in the first meeting.
Finance & fintech
Payment flows, reconciliation platforms and audit-ready logging with strict change control.
Logistics & manufacturing
Warehouse and ERP integrations, telemetry ingestion and shop-floor dashboards that survive poor connectivity.
Healthcare & research
Sensitive data handling, pseudonymisation and controlled access with a documented processing trail.
Retail & e-commerce
Peak-season capacity planning, checkout performance work and unified inventory and order data.
Professional services
Client portals, document workflows and internal tooling that replaces years of spreadsheet accretion.
SaaS & product teams
Platform engineering, multi-tenant architecture and the observability layer product teams keep postponing.
// questions
The things clients ask before signing
If your question is not here, write to us — we answer technical questions with technical answers, not brochures.
A discovery sprint usually begins within two weeks of the first call. Larger delivery squads are typically assembled within three to four weeks, depending on the skills required. If something is on fire right now, we can run a short stabilisation engagement in parallel with planning.
Most of our engagements are mixed teams. We join your rituals, use your repository and review conventions, and deliberately transfer knowledge as we go — pairing, written decision records and recorded walkthroughs. The goal is that your team can operate everything we build without us.
Everything is yours from day one: repositories, cloud accounts, credentials, documentation and pipelines. There are no proprietary wrappers, no licensed runtime and no hidden dependency on our tooling. Offboarding is a scheduled handover, not a negotiation.
Discovery is fixed price. Delivery is usually a monthly squad rate with a written scope per iteration, which keeps change requests cheap and honest. Managed operations are billed per service tier. We do not bill for time spent fixing our own defects.
Yes. We run a gap assessment against the control set, remediate the technical findings, and produce the policy and evidence pack auditors expect — records of processing, access reviews, incident procedures and training material. We also sit in on the review itself when it helps.
Shall we look at your IT challenge together?
Send a short description of the system and the problem. Within one working day you receive an initial assessment, the questions we would need answered, and an honest view of whether we are the right team for it.