Kubernetes
Deploy and scale BroxiAI applications on Kubernetes for enterprise-grade container orchestration
Overview
Basic Kubernetes Setup
Namespace and Resources
# namespace.yaml
apiVersion: v1
kind: Namespace
metadata:
name: broxi-ai
labels:
name: broxi-ai
environment: production
---
apiVersion: v1
kind: ResourceQuota
metadata:
name: broxi-quota
namespace: broxi-ai
spec:
hard:
requests.cpu: "10"
requests.memory: 20Gi
limits.cpu: "20"
limits.memory: 40Gi
persistentvolumeclaims: "5"
pods: "50"
---
apiVersion: v1
kind: LimitRange
metadata:
name: broxi-limits
namespace: broxi-ai
spec:
limits:
- default:
cpu: "500m"
memory: "512Mi"
defaultRequest:
cpu: "100m"
memory: "128Mi"
type: ContainerConfigMaps and Secrets
Application Deployment
Main Application
Database Deployment
Auto-scaling Configuration
Horizontal Pod Autoscaler
Vertical Pod Autoscaler
Cluster Autoscaler
Advanced Kubernetes Features
Jobs and CronJobs
Network Policies
Pod Disruption Budgets
Ingress and Load Balancing
Ingress Configuration
Service Mesh (Istio)
Monitoring and Observability
Prometheus Monitoring
Distributed Tracing
Security and RBAC
Service Accounts and RBAC
Pod Security Standards
GitOps and CI/CD
ArgoCD Application
Helm Charts
Disaster Recovery
Backup and Restore
Best Practices
Resource Management
Security
High Availability
Troubleshooting
Common Issues
Next Steps
Related Guides
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