Platform
Docker
Containerisation of both modern services and stubborn legacy workloads.
PlatformStandardised build artefactsLocal and CI parity
Where we use it
Workloads we build with Docker
Standardised build artefacts
Local and CI parity
Legacy workload packaging
Strengths
Why we choose it
- Reproducible environments
- Portability across clouds
- Fast onboarding for engineers
Considerations
What we watch for
- Image hygiene and scanning required
- Not a substitute for architecture
Services using this technology
Business AutomationRemove manual effort from the workflows that carry your business.Custom SoftwarePlatforms engineered around your process, not the other way round.Digital TransformationModernise the estate without stopping the business.Cloud & InfrastructurePlatforms that are cheap to run and safe to change.Data EngineeringTrusted data feeding decisions leaders actually use.Cyber SecuritySecurity posture you can evidence to a board or a regulator.
Industries where we deploy it
FinanceFaster decisions, defensible controls, lower cost to serve.ManufacturingConnected plants, predictable output, lower unplanned downtime.HealthcareClinical throughput, administrative relief and defensible data handling.LogisticsCost per shipment down, exceptions handled before they escalate.GovernmentCitizen services, digitised process and auditable delivery.Professional ServicesHigher utilisation, faster delivery, protected margin.EducationAcademic operations, student experience and institutional reporting.Real EstatePortfolio visibility, faster sales cycles, tighter project control.HospitalityOccupancy, guest experience and lean back-office operations.NGOMore programme impact per rupee of overhead.ConstructionProgramme certainty, cost control and site-level visibility.RetailDemand accuracy, margin protection and connected commerce.MiningSafety, asset uptime and site-to-corporate visibility.EnergyAsset reliability, consumption intelligence and compliance evidence.
Pairs well with
Capabilities built on Docker
DockerContainerisation of legacy and modern workloads.Legacy ModernizationReplace or re-architect ageing systems without a big-bang cutover.Cloud MigrationMove workloads in planned waves with measurable cost and performance outcomes.Cloud ArchitectureTarget architecture, landing zone and guardrails designed for your workloads.AI StrategyA board-ready plan linking AI investment to specific processes, numbers and timelines.AI Readiness AssessmentA structured audit of data, systems, skills and risk posture before you commit budget.
Related insights
Why enterprise AI pilots stall — and what changes when they do notThe gap between a working demo and a production system is organisational, not technical.Automation that survives auditDesigning RPA and document automation with controls, logging and ownership from day one.Modernising legacy systems without a big-bang cutoverIncremental strangulation beats a single weekend of concentrated risk.
Assess and plan
AI Readiness AssessmentScore your organisation across six readiness dimensions in about ten minutes.Enterprise AI Readiness ChecklistThe seven-dimension checklist we use before committing to an enterprise AI programme.Downloads centreCapability statement, readiness checklist and other practitioner material.
Downloadable guide
Docker engineering standards
Our reference architecture, code standards, testing approach and operational checklist for this technology.
Need this stack delivered by
people who have run it in production?
Architecture review, team augmentation or full delivery — we will show you reference implementations before you commit.