Services
We help organisations that have already invested in Kubernetes but are now experiencing the second-order problems that emerge at scale - inconsistent architecture, fragmented tooling, operational strain, and rising costs.
Platform Engineering Assessment
Typical engagement: 2-4 weeks
A short diagnostic engagement to review your Kubernetes platform architecture, operating model, and reliability practices. Designed for organisations that know there are issues but want an expert assessment before committing to a larger programme.
What we assess
- Cluster architecture and configuration
- Platform team operating model and governance
- Deployment and release practices
- Observability and alerting maturity
- Infrastructure as Code quality and patterns
- Developer experience and self-service capabilities
What you get
- Platform architecture review with findings
- Maturity assessment across key dimensions
- Risk and gap analysis
- Prioritised improvement roadmap
- Recommended next steps with effort estimates
Best suited for
Engineering leaders who need clarity on what to fix first. Typically triggered by platform reliability concerns, upcoming scaling requirements, or a need to justify investment in platform improvement.
Platform Engineering Transformation
Typical engagement: 3-6 months
A delivery-led engagement focused on restructuring and standardising Kubernetes environments so they can scale reliably and be operated safely. We embed with your team and ship production-ready infrastructure in your environment, using your tools and change processes.
Typical workstreams
- Platform architecture redesign and cluster standardisation
- GitOps operating model implementation
- Infrastructure as Code restructuring
- Developer self-service and internal platform capabilities
- CI/CD pipeline design and migration
- Platform governance and ownership model
- Cost optimisation
What you get
- Standardised, well-governed Kubernetes platform
- Reduced operational burden on platform teams
- Self-service developer workflows
- Documented architecture and runbooks
- Knowledge transfer and team enablement
- Measurable improvement in delivery velocity
Best suited for
Organisations where the problem is already understood and the priority is implementation. Often follows an assessment, or is engaged directly when platform teams are under operational strain and leadership needs a scalable, reliable operating model.
Reliability & Observability Engineering
Typical engagement: 2-4 months
Focused engagements to improve production visibility, alerting quality, telemetry architecture, and reliability practices. We help teams move from reactive firefighting to structured reliability engineering with clear signals and measurable objectives.
Typical workstreams
- Observability architecture design and implementation
- Telemetry pipeline design (metrics, logs, traces)
- Instrumentation strategy and rollout
- Alerting redesign and noise reduction
- SLO/SLI framework implementation
- Monitoring stack deployment and migration
- Observability cost optimisation
What you get
- Clear, actionable production visibility
- Reduced alert fatigue and faster incident diagnosis
- Scalable telemetry architecture
- SLOs aligned with business objectives
- Documented observability standards
- Lower telemetry and logging costs
Best suited for
Teams experiencing alert fatigue, poor production visibility, telemetry sprawl, or rising observability costs. Often engaged alongside or after platform transformation work, or as a standalone engagement for organisations with specific reliability concerns.
Capabilities
Practices and disciplines we bring across all engagements.
Kubernetes & Containers
- Cluster architecture and design
- Multi-cluster management
- Autoscaling and right-sizing
- Security hardening
Infrastructure as Code
- Modular IaC architecture
- State management
- Automated plan and apply workflows
- Drift detection and remediation
Observability
- Metrics, logs, and traces
- Instrumentation strategy
- Dashboard and alerting design
- Telemetry cost management
CI/CD & GitOps
- Pipeline design and optimisation
- GitOps operating models
- Release management
- Deployment automation
Cloud Platforms
- AWS and GCP
- Cost optimisation
- Multi-cloud strategy
- Migration planning
Security & Compliance
- Regulated environments (PCI-DSS)
- Policy enforcement
- Secrets management
- Identity and access controls
Not sure which engagement fits?
Most clients start with a conversation. We'll help you figure out the right approach.