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ORBITRONOPS

Kubernetes

Kubernetes without the operational chaos.

Kubernetes offers flexibility at the cost of real operational complexity. We design clusters and platforms that are secure, observable and boring to operate.

Fix Your Kubernetes Bottleneck What we do
kubernetes.topology live topology
  1. 01Ingress / Gateway
  2. 02Services
  3. 03Workloads
  4. 04Control Plane
  5. 05Node Pools
  6. 06Cloud Infrastructure
Core layers of a production Kubernetes platform.

The problem

What's actually going wrong.

● SYMPTOM

Clusters nobody fully understands

Years of add-ons, Helm charts and exceptions with unclear ownership.

● SYMPTOM

Upgrade anxiety

Version upgrades are postponed because they're risky and manual.

● SYMPTOM

Overprovisioned workloads

Requests and limits are guessed, and nodes run mostly empty.

● SYMPTOM

Security gaps

Broad RBAC, unrestricted network traffic and unscanned images.

What we do

Kubernetes capabilities.

Cluster architecture

Topology, tenancy, networking and multi-cluster strategy.

Production readiness

Reviews and remediation for reliability, security and operability.

Security

RBAC, network policy, admission control, secrets and supply-chain security.

Scaling

HPA, KEDA and node autoscaling with Karpenter or cluster autoscaler.

Observability

Cluster and workload telemetry that supports real debugging.

Workload optimization

Right-sizing requests and limits, bin-packing and cost visibility.

GitOps

Declarative cluster and application management.

Technical capabilities

Technologies and practices.

Examples of tools we work with. Listed as capabilities, not certifications or partnerships.

  • EKS
  • GKE
  • AKS
  • Karpenter
  • KEDA
  • Cilium
  • Istio
  • Argo CD
  • Kyverno
  • Helm
  • Prometheus

Outcomes

What changes.

  • Predictable operations

    Routine upgrades and well-understood cluster behavior.

  • Efficient capacity

    Workloads sized from data, nodes used efficiently.

  • Secure defaults

    Policy enforced at admission rather than discovered in audits.

How we engage

Assessment → Architecture → Implementation → Enablement.

  1. 01

    Discover

    Understand the architecture, constraints and engineering bottlenecks.

  2. 02

    Architect

    Define the target architecture and implementation roadmap.

  3. 03

    Build

    Implement infrastructure, automation, platforms and reliability improvements.

  4. 04

    Enable

    Transfer knowledge and create sustainable engineering practices.

FAQ

Common questions.

Related insights

Further reading.

KubernetesDRAFT · 9 min

Kubernetes Cost Optimization

Requests, limits, bin-packing and autoscaling: where Kubernetes cost actually hides.

Read
DevOpsDRAFT · 7 min

GitOps for Production Kubernetes

Declarative delivery, drift detection and auditable change for production clusters.

Read
AI InfrastructureDRAFT · 8 min

Kubernetes for AI and ML Workloads

When Kubernetes is the right substrate for AI workloads, and what you need to add to make it work.

Read

Related services

Often combined with.

See case studies

Platform Engineering

Build a platform developers actually want to use.

Internal developer platforms, Kubernetes platforms, self-service infrastructure, Terraform and GitOps.

Explore Platform Engineering

AI Infrastructure

Build infrastructure your AI workloads can actually scale on.

GPU infrastructure, AI workloads on Kubernetes, model serving, inference, scheduling and optimization.

Explore AI Infrastructure

Cloud Cost Optimization & FinOps

Make cloud costs visible, measurable and actionable.

Cloud cost analysis, Kubernetes and AI cost optimization, architecture optimization and governance.

Explore Cloud Cost Optimization & FinOps

Talk to an Infrastructure Expert.

Tell us what you're building and where infrastructure is getting in the way. You'll talk directly to a senior engineer.

Fix Your Kubernetes Bottleneck Explore Our Services