Production Kubernetes platforms, engineered and operated properly.
CirOps builds and operates Kubernetes platforms across EKS, GKE, AKS, and hybrid environments. Cluster architecture, GitOps, security, observability, cost control, upgrades, and day-2 operations are delivered as one platform discipline.
EKS
Managed Kubernetes
GKE
Managed Kubernetes
AKS
Managed Kubernetes
Platform Scope
Everything Kubernetes needs after the cluster exists.
Kubernetes becomes expensive when every team invents its own way to deploy, secure, observe, and scale workloads. CirOps turns the cluster into a platform with clear defaults, enforced controls, and repeatable operations.
Cluster architecture
EKS, GKE, AKS, and hybrid cluster foundations engineered with node pool strategy, autoscaling boundaries, private networking, ingress design, and environment separation.
GitOps and release automation
Argo CD or Flux delivery models, Helm/Kustomize structure, progressive rollout patterns, policy gates, and auditable promotion between environments.
Security hardening
RBAC, Pod Security Standards, network policies, workload identity, image scanning, secrets handling, admission controls, and runtime visibility.
Observability and SLOs
Cluster, workload, ingress, and service-level signals connected to dashboards, alerts, runbooks, and reliability targets that teams can operate from.
Cost and capacity control
Node rightsizing, bin-packing, resource requests and limits, autoscaler tuning, spot usage where appropriate, and namespace-level cost visibility.
Day-2 operations
Upgrade plans, backup and recovery, incident response, vulnerability remediation, drift control, and ongoing platform operations with clear ownership.
Environments
One Kubernetes practice across cloud providers.
The service is cloud-aware, not cloud-confused. Each provider has a different identity, network, observability, and autoscaling model; the platform standard stays consistent while the implementation adapts.
Amazon EKS
AWS-native clusters with IAM Roles for Service Accounts, private endpoints, managed node groups, Karpenter where suitable, and AWS observability and security integrations.
Google Kubernetes Engine
GKE clusters with Workload Identity, node pool strategy, network policies, Cloud Operations integration, and project/folder governance alignment.
Azure Kubernetes Service
AKS clusters with Azure AD Workload Identity, private networking, managed identities, Azure Monitor, and secure delivery pipelines.
Hybrid and self-managed Kubernetes
Operational hardening for existing clusters where managed Kubernetes is not yet possible, with a migration path toward a cleaner platform model.
Process
How Kubernetes platform work runs.
Platform assessment
We review cluster topology, workloads, deployment flow, network model, access patterns, observability coverage, cost posture, and upgrade risk.
Reference architecture
We design the target Kubernetes platform: cluster boundaries, node strategy, GitOps model, policy controls, security baseline, and operations model.
Engineering delivery
We implement the platform as code, migrate workloads safely, wire CI/CD and GitOps, harden security controls, and validate rollback and recovery paths.
Operate and improve
We run upgrade cycles, tune capacity, refine alerts, close vulnerabilities, and keep the platform aligned as workloads and teams evolve.
Credentials
All five Kubernetes certifications in the delivery bench.
KCNA, KCSA, CKA, CKAD, and CKS coverage gives this service the full Kubernetes view: cloud-native fundamentals, security, administration, application delivery, and production hardening.
AI-Augmented Operations
AI-assisted Kubernetes operations.
CirOps uses AI-assisted workflows to accelerate manifest reviews, incident diagnosis, runbook generation, policy drift detection, and capacity analysis. Engineers remain accountable for every platform decision and production change.
Faster incident context
Signals across pods, nodes, ingress, events, logs, and traces are correlated into an operator-ready view.
Policy and manifest review
AI-assisted checks surface risky workload patterns before they reach production pipelines.
Runbooks from live state
Operational procedures stay aligned with the platform that actually exists, not last quarter's diagram.
Common questions
Related services
Kubernetes connects to the rest of the platform.
Cloud Security
Identity, policy, runtime, and compliance controls for cloud and container platforms.
Site reliability engineering
SLOs, error budgets, incident framework design, and reliability improvement practices.
Managed Cloud Operations
Ongoing cloud operations for the infrastructure and Kubernetes platforms CirOps manages.
Ready to make Kubernetes a platform, not a maintenance burden?
Start with the free Architecture Review. CirOps will map your current cluster posture, surface platform risks, and identify the highest-leverage next steps across security, reliability, cost, and operations.