Google Kubernetes Engine
Optimize your GKE costs with intelligent cluster management, node pool optimization, and comprehensive Kubernetes cost tracking on Google Cloud Platform.
GKE Integration Benefits
- 60% reduction in GKE infrastructure costs
- Automated node pool scaling and optimization
- Preemptible VM integration with failover
- GKE Autopilot cost optimization
- Real-time cost monitoring and alerts
Key Features
GKE Cost Visibility
Complete cost breakdown by namespace, pod, and service for GKE clusters
Node Pool Optimization
Right-size GKE node pools and implement efficient autoscaling policies
Preemptible VM Integration
Seamlessly integrate Google Cloud Preemptible VMs for cost savings
GKE Cost Optimizations
Node Pool Rightsizing
Optimize GKE node pool configurations based on actual workload requirements
Preemptible Instances
Use Google Cloud Preemptible VMs for fault-tolerant workloads
GKE Autopilot
Leverage GKE Autopilot for optimized resource allocation and cost efficiency
Committed Use Discounts
Strategic planning for Google Cloud Committed Use Discounts
Easy Setup in 4 Steps
Deploy DeepCost Operator
Install the DeepCost Kubernetes operator in your GKE cluster
Configure GCP Integration
Connect to Google Cloud APIs for cost data and resource management
Set Cost Policies
Define optimization rules and budget constraints for your workloads
Monitor & Optimize
View real-time insights and apply automated cost optimizations
GKE Deployment Configuration
# DeepCost GKE Operator Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: deepcost-operator
namespace: deepcost-system
spec:
replicas: 1
selector:
matchLabels:
app: deepcost-operator
template:
metadata:
labels:
app: deepcost-operator
spec:
serviceAccountName: deepcost-operator
containers:
- name: operator
image: deepcost/gke-operator:latest
env:
- name: GOOGLE_APPLICATION_CREDENTIALS
value: "/etc/gcp/service-account.json"
- name: GCP_PROJECT_ID
value: "my-gcp-project"
- name: GKE_CLUSTER_NAME
value: "my-gke-cluster"
- name: GKE_CLUSTER_ZONE
value: "us-central1-a"
volumeMounts:
- name: gcp-credentials
mountPath: /etc/gcp
readOnly: true
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "512Mi"
cpu: "500m"
volumes:
- name: gcp-credentials
secret:
secretName: gcp-service-account
---
# GKE Cost Policy Custom Resource
apiVersion: deepcost.io/v1
kind: CostPolicy
metadata:
name: gke-optimization-policy
namespace: default
spec:
target:
kind: "GKECluster"
name: "my-gke-cluster"
optimization:
nodePool:
autoScale: true
preemptibleNodes:
enabled: true
percentage: 80
gracePeriod: 30
autopilot:
enabled: false # Use standard GKE for more control
rightsizing:
enabled: true
targetUtilization: 85
workloads:
verticalPodAutoscaler:
enabled: true
mode: "Auto"
horizontalPodAutoscaler:
enabled: true
targetCPU: 70
targetMemory: 80
budget:
monthly: 8000
alerts:
- threshold: 75
severity: warning
- threshold: 90
severity: critical
gcpIntegration:
billingAccount: "01ABCD-234567-890ABC"
commitmentPlan:
enabled: true
term: "1Y"
autoRenew: trueGoogle Cloud Service Integration
Cloud Billing API
- • Real-time cost data integration
- • Project-level cost allocation
- • SKU-level cost breakdown
- • Budget alert automation
Cloud Monitoring
- • Performance metrics collection
- • Resource utilization tracking
- • Custom metric integration
- • Alert policy automation
Compute Engine API
- • Automated instance management
- • Node pool scaling
- • Preemptible instance orchestration
- • Machine type optimization
GKE Autopilot vs Standard Optimization
🚀 GKE Autopilot
- • Pay per pod resource usage
- • Google-managed node optimization
- • Automatic security hardening
- • Built-in best practices
⚙️ GKE Standard
- • Full control over node configuration
- • Custom machine types
- • Preemptible instance support
- • Advanced networking options
Proven Results
Frequently Asked Questions
How long does it take to deploy DeepCost to my GKE cluster?
Deployment typically takes 5-10 minutes. Install the Kubernetes operator, configure your GCP service account credentials, and DeepCost will immediately start analyzing your cluster and providing optimization recommendations.
What Google Cloud permissions does DeepCost need?
DeepCost requires read access to Cloud Billing API, Cloud Monitoring, and Compute Engine metrics. Limited write permissions are needed for node pool management and autoscaling. All permissions follow Google Cloud's principle of least privilege.
Is my GKE cluster data secure?
Yes, DeepCost runs as a Kubernetes operator within your cluster. All sensitive data stays within your Google Cloud environment. We use encrypted connections, service account keys, and follow SOC 2 compliance standards.
Can I monitor multiple GKE clusters?
Absolutely. DeepCost supports multi-cluster deployments across different Google Cloud regions and projects. You can manage all your clusters from a single dashboard with namespace-level cost visibility and per-cluster optimization policies.
How quickly will I see cost savings on GKE?
Most customers see actionable recommendations within 24 hours. With automated node pool optimization and Preemptible VM integration, typical savings of 45-65% can be achieved within the first 30 days.