Platform Engineering

Kubernetes & Microservices

Opinionated cluster architectures, multi-tenancy, service mesh, and SLO-driven operations— so Kubernetes behaves like an internal product instead of a science experiment.

Cluster design Service mesh Multi-tenancy SLOs & observability Autoscaling

Executive Summary

Turn Kubernetes from “pet clusters” into a reliable multi-tenant platform.

We help you standardize how clusters are built, secured, observed, and consumed—so product teams get self-service environments and SREs aren’t stuck firefighting control planes.

Without a platform
  • • Every cluster is slightly different.
  • • Security, ingress, and observability bolted on ad hoc.
  • • SREs own every “small” production change.
With Kubernetes as a product
  • • Standardized, reproducible cluster blueprints.
  • • Safer multi-tenancy with quotas and isolation.
  • • Clear SLOs and observability for each service tier.

When Kubernetes stops being “just infrastructure”

It’s one thing to stand up a cluster for a single application team. It’s another to run Kubernetes as a shared platform across dozens of services, teams, and environments.

At that scale, ad-hoc choices around namespaces, ingress, security, and observability turn into real risk and real cost. Our work focuses on the moment when Kubernetes stops being a proof-of-concept and becomes a critical dependency.

Our approach

1) Assess platform readiness

  • Review existing clusters, add-ons, and operational practices.
  • Map tenants: which teams, which apps, which data classifications.
  • Identify gaps across identity, network boundaries, storage, and backup.

2) Design your opinionated blueprint

  • Standardize how clusters are provisioned (IaC) and upgraded.
  • Define patterns for multi-tenancy (per team, per app, or per env).
  • Choose service mesh, ingress, and gateway patterns that fit your scale.

3) Build the “paved road” for teams

  • Provide application templates, Helm charts, or operators for core use cases.
  • Encapsulate complexity behind simple “deploy to env” workflows.
  • Wire deployment flows into existing CI/CD and secret management.

4) Make SLOs the contract between platform and product teams

  • Define SLOs per service tier (critical, standard, experimental).
  • Instrument latency, error rate, saturation, and availability.
  • Automate alerting and incident response around those SLOs.

Key benefits

  • Consistent clusters with predictable upgrades and add-ons.
  • Safer multi-tenancy through clear isolation and quotas.
  • Faster onboarding for new services using boilerplates and docs.
  • Reduced SRE load as more actions move to self-service.

How we typically engage

  • Platform readiness review (2–3 weeks): architecture, ops, and tenant analysis.
  • Blueprint & pilot (6–10 weeks): implement reference clusters and onboard 1–2 teams.
  • Scale-out: extend patterns, train teams, and refine SLOs based on real usage.