GCP-certified. GKE-native. Delivered end to end.
CirOps Consulting is a Google Cloud Select Service Partner with certified engineers across GCP architecture and cloud engineering. Full-stack delivery on GCP - compute, networking, security, DevOps, and AI/ML infrastructure - with Kubernetes expertise running the GKE layer.
Partner
Google Cloud Status
2 + 5
GCP + Kubernetes Certs
GKE-native
Kubernetes Delivery
Partnership
Google Cloud Select Service Partner - what that means for your engagement.
Google Cloud Select Service Partner status is not self-declared. It is earned through demonstrated technical capability, certified personnel, and a track record of delivering GCP engagements to Google Cloud's standards.
For the buyer, it means three things:
Vetted delivery capability.
Google has assessed CirOps's technical depth, certified engineers, and delivery history. We meet Google Cloud's defined bar for what a qualified delivery partner looks like.
Cross-cloud engineering strength.
CirOps is also an AWS Advanced Tier Partner. Multi-cloud engagements - unified IaC with Terraform, consistent security posture, cross-cloud observability - are not a workaround. They are a delivery pattern we engineer deliberately.
Kubernetes at every layer.
Our engineers hold all five Kubernetes certifications. On GCP, this means GKE clusters built and operated to the standards of the CKA and CKS - not configured once and left.
Google Cloud Select Service Partner
- Assessed against Google Cloud technical and delivery standards
- Certified engineers: Associate Cloud Engineer + Professional Cloud Architect
- Full Kubernetes stack: all five K8s certifications including CKA and CKS
- Multi-cloud delivery capability with AWS Advanced Tier Partner status
GCP Service Delivery
Google Cloud services matched to the workload.
The named Google Cloud services below show the areas we build, configure, operate, and optimize. Final scope follows the workload and the delivery expertise it requires.
Compute
GCE · GKE · Cloud Run · Cloud Functions
From single-VM workloads to production GKE clusters and fully managed serverless runtimes - provisioned, secured, and operated at scale.
Storage & Data
Cloud Storage · Cloud SQL · AlloyDB · BigQuery · Firestore
Object storage, managed relational databases, enterprise-grade PostgreSQL, petabyte-scale analytics, and NoSQL - each layer built for the workload it serves.
Networking
VPC · Cloud Load Balancing · Cloud CDN · Cloud DNS · Cloud Interconnect
Private networking, global load distribution, CDN, DNS, and dedicated connectivity - designed to your topology and traffic patterns.
Security
Security Command Center · Cloud Armor · Cloud IAM · Secret Manager · VPC Service Controls
Threat detection, DDoS and application-layer protection, identity governance, secrets lifecycle, and perimeter controls - operated as a continuous discipline.
Operations
Cloud Monitoring · Cloud Logging · Cloud Trace · Cloud Profiler
Full-stack observability across GCP resources - metrics, logs, distributed traces, and performance profiling integrated into unified dashboards.
DevOps
Cloud Build · Cloud Deploy · Artifact Registry · Config Connector
CI/CD pipelines, progressive delivery, artifact management, and Kubernetes-native GCP resource configuration - implemented through automated, auditable workflows.
AI/ML Infrastructure
Vertex AI · Dataflow · Pub/Sub
We provision and operate the GCP infrastructure that runs your AI workloads - training environments, inference endpoints, and data pipelines. Not model development; the infrastructure models run on.
Credentials
Certified on GCP. Certified on Kubernetes.
Our GCP practice is backed by Professional Cloud Architect and Associate Cloud Engineer credentials, combined with all five Kubernetes certifications - the full credential stack for production GKE delivery.
Google Cloud


Kubernetes - all five certifications





Our team also holds 9 AWS certifications and HashiCorp Terraform. Explore Kubernetes Platform Engineering or see the full credential picture on the Trust page.
GCP Engagements
What we deliver on GCP.
Named engagement types with defined scope and methodology - not generic “cloud support” retainers.
GKE Platform Engineering
Production-grade Kubernetes on Google Kubernetes Engine - cluster architecture, node pool strategy, Workload Identity, network policies, multi-cluster federation, and day-2 operations. Our engineers hold both the CKA and CKS credentials for GKE workloads.
Explore Kubernetes platform engineering →GCP Landing Zone
Multi-project GCP foundation using Google Cloud's enterprise landing zone reference - Organization hierarchy, folder structure, Shared VPC, centralized logging, Cloud Identity configuration, and policy enforcement through Organization Policy Service.
Discuss your Google Cloud foundation →GCP FinOps
Cloud cost governance on GCP - committed use discount planning, rightsizing recommendations, label taxonomy for cost attribution, budget alerts, and sustained-use optimization. Scoped to Google Cloud billing, usage, and governance requirements.
Explore FinOps consulting →Managed Cloud Security Posture
Recurring posture operations for GCP and multi-cloud environments. CirOps has delivered Wiz-based posture work and can operate Microsoft Defender for Cloud connectors where the customer selects that platform. Tooling, integration depth, and response responsibilities are scoped to the customer's selected platform; no vendor partnership is implied.
Explore Managed Cloud Security Posture →Cloud Architecture Review - GCP
A structured review of your GCP environment: cost efficiency, security posture, reliability architecture, and workload placement. No cost. No commitment. A documented picture of where your GCP environment stands and what to address first.
Request a free Architecture Review →Delivery Standards
What GCP delivery looks like, in practice.
GKE-native
Kubernetes delivery
CKA and CKS certified engineers running GKE clusters at production scale - node pools, Workload Identity, network policies, and multi-cluster operations.
Cross-cloud
IaC with Terraform
In-scope GCP infrastructure is provisioned through the agreed Terraform workflow for reproducibility, review, and environment consistency.
Controlled rollout
migrations to GCP
Discovery, dependency mapping, staged traffic changes, validation, and rollback planning are defined around the workload before cutover.
AI-Augmented Operations
AI-assisted GCP delivery.
Our GCP practice integrates AI-assisted tooling into infrastructure delivery, cost management, and incident response - not as a pitch, as an operational standard.
AI-assisted Terraform generation for GCP
AI-assisted Terraform drafts are reviewed against GCP provider schemas, architecture decisions, and policy checks before use.
AI-assisted cost anomaly detection
GCP billing and usage signals can be grouped for engineer review so the cause, priority, and approved response are verified before action.
AI-assisted incident root cause analysis
During Cloud Monitoring-based incident workflows, AI-assisted analysis can assemble relevant signals while engineers confirm the cause and remediation.
AI-assisted architecture documentation
Architecture documentation can be drafted from agreed sources and then reviewed against the implemented environment before handover.
Technology Stack
The tools behind every GCP engagement.
Our engineers work with the tools your stack already runs on - not a curated shortlist, but the full breadth of the modern cloud-native ecosystem.
Infrastructure and delivery
Terraform
Ansible
Docker
Helm
ArgoCD
Crossplane
GitHub
GitLab
Jenkins
Bitbucket
Git
Jira
Slack
AWS
Oracle Cloud
SigNoz
Observability and security
Prometheus
Grafana
LokiDatadog
OpenTelemetry
Jaeger
Istio
Cloudflare
Checkov
TrivyFalco
Kafka
RabbitMQ
Google Cloud
Azure
Common questions
Google Cloud Select Service Partner. Kubernetes-certified team. Proven delivery. Let's start with your environment.
The no-cost Architecture Review is the right first step - it scopes the work, surfaces the gaps, and gives you a clear action plan. No cost. No commitment. A documented picture of your GCP infrastructure before any engagement begins.