Services
Platform Engineering
Give product teams a dependable route from idea to production, with less cognitive load and stronger operational control.
What this delivers
Platform engineering turns repeated delivery friction into a managed product. We identify where teams lose time across environments, pipelines, Kubernetes operations and service onboarding, then shape a platform around the work they actually perform.
The result is a smaller operational burden and a clearer path to production. Golden paths encode security and reliability expectations, while explicit ownership, service levels and feedback loops let the platform evolve with the organisation rather than becoming another fixed estate.
Platform Engineering Services
From strategy and architecture through to implementation and ongoing operation, we help you build the capabilities needed to deliver secure, reliable digital services. Engage us for consultancy and design, a complete project deliverable, embedded expertise alongside your team, or as your managed service provider.
Platform Managed Service Provider
Delegated day-to-day operation of your platform, backed by SLA-driven support and transparent governance.
Running a shared platform is a product and service-management commitment, not a side responsibility for whichever engineer knows the cluster best. Unclear ownership, fragile on-call arrangements and deferred maintenance gradually turn an enabling platform into a source of delivery and compliance risk.
We establish an explicit operating model, service objectives and escalation paths, then take responsibility for routine operation, lifecycle work and incident coordination. Your teams retain visibility through service reviews and evidence-based reporting while gaining predictable support capacity and more time for product delivery.
What we deliver
- Delegated operations for Kubernetes clusters, CI/CD systems, and AI pipelines
- Proactive monitoring with agreed SLOs, on-call rotation, and incident management
- Governance and compliance reporting, including change control and audit evidence
- SLA-driven support tiers with clear response and resolution targets
- Managed workload examples: production Kubernetes estates, GitOps delivery pipelines, and inference and retrieval pipelines for AI workloads
- Multi-cloud platform support across Azure, AWS, and Google Cloud
- Kubernetes
- Azure
- AWS
- GCP
Kubernetes & CNCF Products
Cluster design, operations, and the CNCF ecosystem configured for your workloads rather than a generic reference architecture.
Kubernetes creates a consistent control plane, but production outcomes depend on choices around tenancy, networking, upgrades, policy and the surrounding CNCF toolchain. Estates assembled one add-on at a time often become difficult to secure, support and evolve as workloads and teams multiply.
We design the cluster and platform services as one lifecycle-managed system, validating decisions against workload needs, failure modes and the skills of the operating team. The result is a supportable foundation with intentional upgrade paths, recovery practices and standards that application teams can use consistently.
What we deliver
- Cluster design: topology, node pools, multi-tenancy, upgrade and capacity strategy
- Service mesh with Istio for mTLS, traffic shifting, and progressive delivery
- Observability with Prometheus, Grafana, and FluentD log shipping
- Certificate and DNS automation with Cert-Manager and ExternalDNS
- Day-2 operations: backup and restore, disaster recovery, and cluster lifecycle runbooks
- Dapr portability platforms and development teams support for distributed application capabilities
- Capsule-based tenant isolation with RBAC and identity and access management integration
- Unified cloud-native and Kubernetes deployments with Crossplane
- Kubernetes
- Istio
- Prometheus
- Grafana
- Capsule
- Crossplane
CI/CD with DevOps & GitOps
Fast, auditable delivery pipelines where Git is the single source of truth for both application and infrastructure state.
Delivery slows when pipelines encode undocumented exceptions, environments drift and promotion relies on privileged manual steps. These gaps make releases harder to repeat and leave security or compliance evidence scattered across tools and individual approvals.
We design build, verification and promotion as a traceable flow, using GitOps reconciliation where it improves control and making rollback a rehearsed capability. Teams gain faster feedback, consistent policy enforcement and a durable record of what changed, why it changed and which checks it passed.
What we deliver
- Pipeline design and implementation in GitHub Actions and Azure DevOps
- GitOps delivery with Flux or ArgoCD, including progressive rollout and automated rollback
- Supply-chain integrity: artefact signing, SBOM generation, and provenance attestation
- Policy-as-code gates covering security, cost, and compliance checks
- Worked pipeline examples: trunk-based build and test, environment promotion, and drift detection
- Octopus Deploy and TeamCity support for established delivery estates
- Transition support for teams moving from legacy tooling or CI/CD models
- Flux
- ArgoCD
- Azure DevOps
- GitHub Actions
- Octopus Deploy
- Team City
Internal Developer Platforms
A developer portal and golden paths that make the well-governed route to production also the easiest one.
Developers lose momentum when creating a service requires finding the right repository template, infrastructure request, ownership record and operational checklist by hand. A portal only helps when it reflects real workflows and the platform behind it can fulfil those workflows reliably.
We shape Backstage around a small set of high-value journeys, connect it to authoritative systems and encode production expectations into reusable templates. Product teams get self-service with sensible boundaries, while platform owners gain consistent metadata, reduced support demand and measurable adoption signals.
What we deliver
- Backstage setup, deployment, and integration with your identity provider and repositories
- Custom plugin development for your internal tooling and data sources
- Golden paths that encode your standards for security, observability, and delivery
- Software templates that scaffold a production-ready service in minutes
- Developer workflow examples: create a service, request infrastructure, and onboard to on-call
- Backstage
Need help with platform engineering?
Tell us where you are today and we'll come back with a candid view of what would actually move the needle.