Engagement formats
Four ways to work with KubeWright, structured around defined outcomes and durations. Each engagement is delivered hands-on, embedded with your team.
Looking by capability instead? Browse our capabilities for a topic-led view.
Platform Engineering Assessment
A short diagnostic. We review your Kubernetes platform architecture, operating model, and reliability practices, and deliver a prioritised improvement roadmap.
Best for: Engineering leaders who need clarity on what to fix first.
Read more →Platform Engineering Transformation
Hands-on delivery. We restructure and standardise your Kubernetes platform so it can scale reliably, be operated safely, and serve engineering teams through self-service.
Best for: Organisations where the problem is understood and the priority is implementation.
Read more →Reliability & Observability Engineering
A focused engagement to improve production visibility, alerting quality, telemetry architecture, and reliability practices - reducing noise and making incidents easier to diagnose.
Best for: Teams with alert fatigue, poor visibility, or rising observability costs.
Read more →Production AI Platform Engineering
Production-ready Kubernetes foundations for AI inference workloads - deployment patterns, GPU governance, reliability controls, security boundaries, and cost-aware scaling.
Best for: Platform teams under pressure to support AI inference workloads.
Read more →Not sure which engagement fits?
Most clients start with a conversation. We'll help you figure out the right approach.
Frequently Asked Questions
How do engagements typically start?
Most clients start with a conversation to understand the current state and goals. From there, we either begin with a 2-4 week assessment to identify gaps and priorities, or move directly into delivery if the problem is already well understood.
Do you replace our platform team?
No. We embed with your existing team and work in your environment, using your tools and change processes. The goal is to ship production-ready infrastructure and transfer knowledge so your team can own and operate everything we build.
What size organisations do you work with?
We typically work with organisations that already have Kubernetes in production and a platform team of at least 3-5 engineers. The problems we solve - architectural inconsistency, operational strain, cost governance - tend to emerge once infrastructure reaches a certain scale.
What cloud providers do you work with?
Primarily AWS and GCP. Our work is Kubernetes-native, so the platform patterns, tooling, and operating models we build are largely cloud-agnostic, but the underlying infrastructure integration is provider-specific.