We set up and run production Kubernetes on EKS, AKS or GKE. Every change goes through Git, access rules are enforced automatically and monitoring is ready from day one, so your teams can release safely as traffic grows.
What's included
6 capabilities, delivered by one squad. Use what you need now and add more as you grow.
Cluster layouts for separate environments and teams, with node pools, autoscaling and secure default settings.
Deployments described in Git, promoted from test to production and rolled back with a record of who changed what.
Ingress, DNS and TLS set up properly, with reliable connections between services and controlled traffic routing.
RBAC, admission controls and network policies, plus checks on which images can run and what they do at runtime.
Metrics, logs, traces and SLO dashboards, with alerts set at levels your on-call team can act on.
Right-sized workloads and autoscaling rules, with cost reports by team and alerts when spending jumps.
Our approach
The usual way
Engineers change clusters by hand with kubectl, so environments drift apart and releases cause outages.
How we do it
Every change goes through Git and is applied by Argo CD or Flux, so environments stay in step and a bad release rolls back quickly.
The usual way
Access rules have grown out of control, and nothing checks what gets deployed or where images come from.
How we do it
RBAC, network policies and admission controls are set up from the start, and every image is checked before it reaches the cluster.
The usual way
Once the cluster is live, there are no SLOs, no alerts people trust and no runbooks to follow.
How we do it
Metrics, logs, traces, alerts and runbooks are in place before go-live, so your team can run the platform day to day.
Architecture
Each layer has a clear job, so the system is easier to secure, test and extend.
Apps packaged as container images, built the same way every time, each with an SBOM and stored in a registry.
Highly available clusters with node pools, autoscaling, planned upgrades and separate environments.
Argo CD or Flux applies what is in Git, with canary releases for risky changes and a full history of every rollout.
The same access rules, policies, alerts and SLO dashboards in every cluster, so nothing depends on one engineer's setup.
How we deliver
4 phases, each ending with an output you can review.
We review your clusters, how teams share them, networking and the gaps in day-to-day operations, then agree the target design.
Output: Platform blueprint
We move deployments into Git, set up promotion between environments and define how releases roll out and roll back.
Output: Traceable releases
We add RBAC, admission controls and network policies, decide how secrets are stored and check images before they run.
Output: Access and policy controls in place
We set up SLOs, dashboards and alerts on latency, traffic, errors and saturation, plus runbooks for day-to-day operations.
Output: Platform ready for on-call
Your team
Specialists join your squad for this work, alongside a delivery lead who keeps you updated.
Designs the clusters: availability, upgrades, autoscaling and how teams and workloads are kept apart.
Sets one way to deploy, promote and roll back for every team, so environments don't drift.
Puts RBAC, policies, image checks, secrets handling and runtime protection in place.
Owns monitoring, alerts, tracing, cost controls and the incident process.
Trust and control
Every change, promotion and rollback is recorded in Git, so you can see who changed what and when.
RBAC, admission controls and policies are enforced the same way in every environment.
Namespaces and RBAC keep each team's workloads apart, so one team can't affect another's services.
Each service has an owner, SLOs, alerts and a runbook before it goes live.
You keep full ownership of the code, configuration and documentation we create, with no vendor lock-in.
We pick what fits your product and team, not the other way round.
Results
We rebuilt a global healthcare provider's telehealth video platform on distributed video servers (SFUs) that scale with demand and keep patient data out of the logs. It supports 50k+ concurrent sessions with 99.99% uptime.
We moved a global core banking system from an ageing mainframe to AWS one function at a time, keeping both ledgers in sync throughout. Operating costs fell 60%, releases became 5x faster, and there was zero service downtime.
We built AI network security for a global resort chain. It learns how devices normally behave on guest Wi-Fi and isolates suspicious ones automatically. It neutralised 99.9% of threats and detected them 2.5x faster.
We replaced a fund manager's broad VPN access with zero-trust controls that check the user, device and location, and grant privileged access only when it is needed. They cover 100% of identities and cut lateral-movement risk by 99%.
It covers four stages: an audit of your current clusters, Git-based delivery with Argo CD or Flux, security controls such as RBAC and admission policies, and monitoring with SLOs, alerts and runbooks. You can start with the audit alone and decide on the rest once you can see where the gaps are.
We build and run clusters on Amazon EKS, Azure AKS and Google GKE, on whichever cloud you already use. For delivery we use Argo CD or Flux with Helm or Kustomize. Around that we add HPA autoscaling, RBAC, network policies, admission controls and SLO dashboards, so every cluster follows the same setup.
With GitOps, every deployment lives in Git and Argo CD or Flux applies it, so the cluster always matches what was reviewed and merged. Manual changes are spotted and reverted. Releases move from test to production the same way, and a bad release can be rolled back to the last working version.
We apply RBAC so people and services get only the access they need, network policies that limit which pods can talk to each other, and admission controls that block anything outside your rules. Images carry an SBOM and are checked before they run, and the same rules apply in every environment.
We right-size workloads, tune autoscaling so nodes scale down when traffic drops, and report costs by team or service. Alerts flag unusual jumps in spending before the monthly bill arrives. Each change is checked against your SLOs, so savings don't come at the cost of slower or less reliable services.
It depends on how many clusters and services you run, how much is already in Git and whether security controls exist today. A scoped project can kick off in 1–2 weeks. We start with a platform audit, which gives you a target design and a staged plan before you commit to the full build.
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