Services / Platform Engineering
Platforms developers actually want to use.
Self-service infrastructure, golden paths and internal developer portals — we build the foundations that reduce cognitive load and empower teams to ship independently.
The best platform is the one nobody notices — because it just works. Self-service instead of ticket queues, golden paths instead of freestyle deployments, guardrails instead of gatekeeping. We build developer platforms that feel like a product, not an internal bureaucracy tool.
Kubernetes is powerful, but Kubernetes alone is not a platform. We help teams build the layers on top — developer portals, automated environments, observability and FinOps — so infrastructure gets out of the way and developers can ship faster.
Why platform initiatives stall
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Over-engineering the platform — building a PaaS when teams need paved roads.
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No developer buy-in — platform built for ops, not for the people using it.
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Kubernetes as a goal, not a tool — complexity without clear ROI.
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Observability gaps — running production workloads blind.
What we offer
Kubernetes Architecture & Hardening
Production-grade clusters with security hardening, multi-tenancy, auto-scaling and full observability. No "kubectl apply and hope" — infrastructure you can trust.
Deliverable: Hardened, production-ready Kubernetes clusters with documented architecture, RBAC design, network policies and monitoring stack.
Internal Developer Platform Build
Self-service platforms using Backstage, Crossplane or custom portals so developers ship without waiting on ops. Fewer tickets, more velocity.
Deliverable: Working developer portal with service catalogue, automated environment provisioning and documented golden paths.
Observability & Monitoring Stack
Prometheus, Grafana, Loki and OpenTelemetry — see everything that matters. From cluster metrics to distributed tracing, so you find problems before your users do.
Deliverable: Complete observability stack with dashboards, alerting rules, log aggregation and distributed tracing for your critical services.
FinOps & Capacity Planning
Right-sizing clusters, workload scheduling and cost attribution. Know what your infrastructure costs — and why.
Deliverable: Cost analysis with optimisation recommendations, automated right-sizing and cost attribution per team or product.
FAQ
What our clients want to know.
When is a company ready for platform engineering?
Once multiple teams regularly hit the same infrastructure bottlenecks — long waits for environments, recurring deployment issues or inconsistent toolchains. As a rule of thumb, from about 5–10 development teams onward a dedicated platform pays for itself quickly because self-service and golden paths drastically cut per-team overhead.
Do we really need Kubernetes, or are there simpler alternatives?
Kubernetes is not an end in itself. For smaller workloads or teams without container experience, managed PaaS offerings or lighter orchestration tools can be the better choice. We evaluate your requirements around scalability, compliance and operational maturity together and only recommend Kubernetes when the ROI justifies the added complexity.
How do we get developer buy-in for an internal developer portal?
Developer adoption happens when the platform solves real pain points instead of imposing new processes. That is why we always start with user research inside your engineering org, identify the biggest friction points and deliver a first golden path that provides immediate, tangible value. From there we iterate based on real feedback.
Should we build our developer platform in-house or buy an off-the-shelf solution?
The answer almost always lies somewhere in between. Pure buy solutions rarely fit established toolchains and internal workflows, while a full custom build can take years. We recommend a compose approach: combining proven open-source building blocks like Backstage or Crossplane with targeted custom development that maps to your specific workflows.
How do we measure the success of our platform engineering initiative?
The DORA metrics — Deployment Frequency, Lead Time for Changes, Change Failure Rate and Time to Restore — are the industry standard for objectively measuring developer productivity. Beyond those, we track platform-specific KPIs such as time-to-first-deployment for new services, self-service coverage rate and developer satisfaction (Developer NPS).
Ready to build a platform your team actually uses?
A free conversation about where you stand and what makes sense next. No hard sell — just honest assessment.