Kubernetes
Deploy and scale BroxiAI applications on Kubernetes for enterprise-grade container orchestration
Learn how to deploy, scale, and manage BroxiAI applications on Kubernetes for production-ready container orchestration with automatic scaling, self-healing, and service discovery.
Overview
Kubernetes provides:
Automatic scaling and load balancing
Self-healing and fault tolerance
Service discovery and networking
Rolling updates and rollbacks
Secret and configuration management
Multi-cloud and hybrid deployments
Basic Kubernetes Setup
Namespace and Resources
Namespace Configuration
# 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
Configuration Management
Application Deployment
Main Application
Deployment Configuration
Service Configuration
Database Deployment
PostgreSQL StatefulSet
Redis Deployment
Auto-scaling Configuration
Horizontal Pod Autoscaler
HPA Configuration
Vertical Pod Autoscaler
VPA Configuration
Cluster Autoscaler
Node Scaling Configuration
Advanced Kubernetes Features
Jobs and CronJobs
Background Processing Jobs
Network Policies
Security Network Policies
Pod Disruption Budgets
PDB Configuration
Ingress and Load Balancing
Ingress Configuration
NGINX Ingress
Service Mesh (Istio)
Istio Configuration
Monitoring and Observability
Prometheus Monitoring
ServiceMonitor Configuration
Distributed Tracing
Jaeger Configuration
Security and RBAC
Service Accounts and RBAC
RBAC Configuration
Pod Security Standards
Pod Security Policy
GitOps and CI/CD
ArgoCD Application
ArgoCD Configuration
Helm Charts
Helm Chart Structure
Disaster Recovery
Backup and Restore
Velero Backup Configuration
Database Backup CronJob
Best Practices
Resource Management
Resource Optimization
Set appropriate resource requests and limits
Use horizontal and vertical pod autoscaling
Implement cluster autoscaling for node management
Monitor resource utilization continuously
Use pod disruption budgets for availability
Security
Security Best Practices
Run containers as non-root users
Use network policies for traffic control
Implement RBAC with least privilege
Regular security scanning of container images
Use pod security standards/policies
Encrypt secrets and sensitive data
High Availability
HA Configuration
Deploy across multiple availability zones
Use pod anti-affinity rules
Implement health checks and probes
Configure ingress with load balancing
Use persistent volumes for stateful data
Regular backup and disaster recovery testing
Troubleshooting
Common Issues
Pod Issues
Service Discovery Issues
Networking Issues
Next Steps
After Kubernetes deployment:
Monitoring Enhancement: Implement comprehensive observability
Security Hardening: Regular security assessments and updates
Performance Tuning: Optimize for your specific workload
Disaster Recovery: Test backup and recovery procedures
Cost Optimization: Monitor and optimize resource usage
Related Guides
Docker: Container fundamentals
Monitoring: Observability and monitoring
Security: Security best practices
Kubernetes provides enterprise-grade container orchestration for BroxiAI applications. Follow these patterns for scalable, reliable, and secure deployments in production environments.
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