This project demonstrates advanced implementation patterns for managing sensitive information in Kubernetes environments using Secrets. It provides a comprehensive exploration of secure configuration management, from basic secret creation to advanced deployment patterns with RBAC integration.
- Secure storage and management of sensitive data
- Multiple secret implementation patterns
- RBAC-based access control
- Production-ready deployment configurations
- Comprehensive documentation and examples
k8s-secret/
βββ yaml/ # Kubernetes configuration files
β βββ secret-config.yaml # Base secret configuration
β βββ pod-with-env.yaml # Pod with environment variables
β βββ pod-with-volume.yaml # Pod with volume mounts
β βββ deployment.yaml # Full deployment example
β βββ rbac.yaml # RBAC configuration
βββ docs/
β βββ reference-commands.md # Detailed command reference
βββ architecture.png # Deployment architecture
βββ README.md # Project documentation
-
Basic Secret Creation
- Imperative command approach
- YAML-based declarative configuration
- Base64 encoding and decoding
- Secret verification and validation
-
Environment Variable Integration
- Direct secret-to-environment mapping
- Selective value exposure
- Runtime configuration management
- Secure variable injection
-
Volume Mount Implementation
- Secure file-based secret access
- Read-only mount configurations
- Dynamic secret updates
- Volume permission management
-
Deployment Strategies
- Multi-container secret sharing
- Rolling update support
- High availability considerations
- Resource management
- Base64 encoding for sensitive data
- RBAC-based access control
- Namespace isolation
- Read-only access patterns
- Service account integration
System Requirements
- Kubernetes cluster (v1.19+)
- kubectl CLI tool
- Basic understanding of Kubernetes concepts
- Cluster administrative access
- Base64 encoding/decoding capability
- Clone the repository:
git clone https://github.com/TheToriqul/k8s-secret.git
cd k8s-secret
- Create the basic secret:
kubectl apply -f yaml/secret-config.yaml
- Implement RBAC configuration:
kubectl apply -f yaml/rbac.yaml
- Deploy the example application:
kubectl apply -f yaml/deployment.yaml
For detailed implementation steps, refer to reference-commands.md.
Kubernetes Secrets are stored in etcd and use base64 encoding. While this encoding is not encryption, it provides:
- Character set compatibility
- Binary data support
- Standard data format
The project implements a comprehensive RBAC system:
- Role-based access definition
- Service account integration
- Namespace-scoped permissions
- Principle of least privilege
graph TD
A[Kubernetes Cluster] --> B[Secrets<br/>secret-config.yaml]
B --> C[Base64 Encoded Values<br/>username, password, host]
B --> D[Environment Variables<br/>pod-with-env.yaml]
B --> E[Volume Mounts<br/>pod-with-volume.yaml]
D --> F[Application Pods<br/>deployment.yaml]
E --> F
G[RBAC<br/>rbac.yaml] --> B
G --> F
style B fill:#326CE5,stroke:#fff,stroke-width:2px
style G fill:#FF6B6B,stroke:#fff,stroke-width:2px
classDef configFile fill:#4CAF50,stroke:#fff,stroke-width:1px
class C configFile
This architecture demonstrates the flow of secret management in our Kubernetes implementation:
-
Kubernetes Cluster:
- Foundation of our infrastructure where all components and workloads run
- Houses and manages all the secret configurations and their consumption
-
Secrets Management Layer (
secret-config.yaml
):- Central component handling all secret-related operations
- Interfaces with both the storage and distribution mechanisms
- Controls how secrets are stored and accessed
- Managed through RBAC for secure access control
-
Distribution Methods:
- Base64 Encoded Values: Central storage for encoded secrets
- username
- password
- host
- Environment Variables (
pod-with-env.yaml
): Direct injection into containers - Volume Mounts (
pod-with-volume.yaml
): File-based secret access
- Base64 Encoded Values: Central storage for encoded secrets
-
Application Pods (
deployment.yaml
):- Consume secrets through environment variables and volume mounts
- Access controlled via RBAC policies
- Run workloads with secure access to sensitive data
This layered approach ensures:
- Secure storage and transmission of sensitive data
- Flexible access methods for different use cases
- Centralized management and control
- Consistent security practices across applications
apiVersion: v1
kind: Secret
metadata:
name: my-db-secret
type: Opaque
data:
DB_Host: bXlzcWw=
DB_User: cm9vdA==
DB_Password: cGFzd3Jk
env:
- name: DATABASE_HOST
valueFrom:
secretKeyRef:
name: my-db-secret
key: DB_Host
Planned Improvements
-
External Integration
- HashiCorp Vault integration
- AWS Secrets Manager support
- Azure Key Vault connectivity
-
Advanced Security
- Automated secret rotation
- Encryption at rest
- Audit logging
-
Operational Features
- GitOps workflow integration
- Multi-cluster synchronization
- Backup and recovery procedures
I welcome contributions that enhance this project's capability to demonstrate secure secret management in Kubernetes. Please:
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
Through this project, I've mastered:
-
Technical Skills
- Kubernetes secret management
- YAML configuration
- Base64 encoding/decoding
- RBAC implementation
-
Security Concepts
- Secure configuration management
- Access control patterns
- Secret rotation strategies
- Security best practices
-
DevOps Practices
- Infrastructure as Code
- Configuration management
- Deployment strategies
- Documentation practices
- π§ Email: toriqul.int@gmail.com
- π± Phone: +65 8936 7705, +8801765 939006
- π LinkedIn: @TheToriqul
- π GitHub: @TheToriqul
- π Portfolio: TheToriqul.com
- Poridhi for comprehensive learning resources
- The Kubernetes community for excellent documentation
- Contributors and reviewers of this project
Thank you for exploring my Kubernetes Secrets management project. I hope this implementation provides valuable insights for your cloud-native security journey. Happy Learning! π