Container Orchestration & Kubernetes Engineering
We design, run and operate production-grade Kubernetes platforms across EKS, GKE, AKS and on-prem, with autoscaling, service mesh, multi-tenancy and FinOps discipline that make K8s pay for itself.
Make Kubernetes worth the complexity it imposes.
Kubernetes is one of the most powerful platforms ever built and one of the most expensive to misuse. Most organizations adopt it for the autoscaling, multi-tenancy and infrastructure portability narrative, then under-invest in the platform engineering that makes those promises real. The result is a cluster that costs more than the VMs it replaced and a platform team that fights fires instead of building leverage. Our approach treats K8s as a platform investment with concrete deliverables: bin-packed nodes for cost, OPA-governed namespaces for tenancy, GitOps for state, service mesh for resilience, all engineered with intent. The Kubernetes investment finally pays off.
Cluster as cattle
No pet clusters. Every cluster is reproducible from code, replaceable on demand and homogeneous in configuration. Snowflakes do not survive contact with our pattern.
Cost is design, not afterthought
Karpenter, spot orchestration and bin-packing built in from day one. Compute spend tracks workload need, not procurement headroom.
Mesh where it earns its keep
Service mesh is a powerful tool with a real complexity tax. We deploy it where it earns its keep, never as a checkbox decoration.
Why Kubernetes 2.0 maturity matters in 2026.
Three forces are separating K8s-mature organizations from those still paying the early-adoption tax.
Smart, instance-aware autoscaling has eclipsed Cluster Autoscaler as the production default. Teams without it are paying 30-50% more for the same compute.
Maturity is now the differentiator, not adoption. The teams that engineer their platforms beyond a CNCF tutorial are pulling away.
Single-cluster simplicity is gone. Multi-region, multi-tenant, multi-cloud has become the operational reality and the engineering challenge of 2026.
Container Orchestration services we offer.
Each item below is a discrete, measurable workstream we own end-to-end, with senior engineers, real timelinesand the test coverage to back it up.
Multi-cluster Kubernetes platforms
EKS, GKE, AKS or on-prem with cluster-as-cattle pattern. Federated control plane, fleet upgrades, multi-region failover, all engineered, not bolted on.
Autoscaling and node intelligence
Karpenter, Cluster Autoscaler with spot orchestration. Workloads bin-packed for cost efficiency without starving urgent jobs.
Service mesh (Istio, Linkerd)
mTLS, traffic policy, observability and resilience patterns. Enabled where it earns its complexity, not by default everywhere.
Multi-tenancy and namespace governance
Soft and hard tenancy patterns. Resource quotas, network policies, OPA admission control. Application teams ship to a shared cluster without stepping on each other.
Cluster lifecycle management
Automated cluster upgrades, version compliance and CIS-benchmark hardening. Kubernetes upgrades stop being quarterly engineering events.
Stateful workloads and operators
Postgres, Kafka, Elasticsearch and other stateful systems running on Kubernetes with mature operators. Production-grade, backed up, observable.
We're fluent in your stack.
Vendor-agnostic by design. We pick the right tool for the problem in front of us, not the one our partner discounts apply to.
Real engagements. Real numbers.
Cut compute spend 38% with Karpenter + spot
Migrated from over-provisioned m5 fleet to Karpenter-managed mixed-instance, spot-heavy worker pools. Same SLO, 38% lower bill, sustained.
Six reasons enterprises run Container Orchestration with Infivit.
Built for the 2026 reality of Container Orchestration: the actual buyer pain, the actual technical constraints and the actual outcomes that matter, not generic DevOps platitudes.
Karpenter + spot, 30-50% lower compute.
Smart instance selection, spot orchestration and bin-packing baked into the platform from day one. The Kubernetes ROI conversation finally resolves in your favour.
Reproducible clusters, replaceable on demand.
No pet clusters. Every cluster spins up from code, runs the same way and gets replaced as easily as a Pod. Configuration drift becomes structurally impossible.
Quotas, policies, OPA, no isolation incidents.
Soft and hard tenancy patterns engineered together. Application teams share clusters without stepping on each other; the platform team does not field "noisy neighbour" tickets.
CIS-benchmark, Pod Security Standards, Falco.
Hardening not as a quarterly project but as the default state. CIS compliance scores 95%+, audit findings to zero, runtime threats caught and contained.
Federated control plane, fleet upgrades.
Argo CD, Cluster API and fleet patterns operate hundreds of clusters as one logical estate. Multi-region failover, multi-cloud workloads, all engineered.
Quarterly upgrades become routine.
Blue-green cluster upgrades via GitOps. New version stood up, traffic drained, old cluster destroyed. Kubernetes upgrades stop being quarterly migration projects.
The questions you were already going to ask.
Got a container orchestration problem?
Let's ship the fix.
A 30-minute call with one of our senior engineers, no slideware, no scoping doc. You leave with a concrete view of what the first 30 days look like.