Architecture Overview¶
This page provides a high-level overview of TAPPaaS architecture. For detailed technical specifications, see the Architecture Reference in the documentation section.
Architecture Philosophy¶
TAPPaaS is built on several key architectural principles:
Kubernetes-Native¶
TAPPaaS is designed as a true Kubernetes-native platform:
- Built on Kubernetes primitives - Uses standard Kubernetes resources under the hood
- Leverages Kubernetes capabilities - Takes advantage of scheduling, networking, and storage
- Extends Kubernetes thoughtfully - Adds abstractions without hiding Kubernetes
- Portable - Runs on any compliant Kubernetes cluster
Layered Abstraction¶
TAPPaaS provides multiple layers of abstraction:
┌─────────────────────────────────────────┐
│ Developer Interface Layer │ ← Simple, intuitive interfaces
│ (CLI, API, Configuration) │
├─────────────────────────────────────────┤
│ Application Management Layer │ ← TAPPaaS business logic
│ (Deployment, Scaling, Routing) │
├─────────────────────────────────────────┤
│ Kubernetes Orchestration Layer │ ← Standard Kubernetes
│ (Pods, Services, Deployments, etc.) │
├─────────────────────────────────────────┤
│ Infrastructure Layer │ ← Any Kubernetes cluster
│ (Compute, Network, Storage) │
└─────────────────────────────────────────┘
Modular Design¶
- Loosely coupled components enable independent development and deployment
- Well-defined interfaces between components
- Pluggable architecture allows extensibility
- Separation of concerns keeps code maintainable
Cloud-Native Patterns¶
TAPPaaS embraces cloud-native best practices:
- Declarative configuration - Desired state management
- Immutable infrastructure - Container-based deployments
- Observability - Built-in monitoring, logging, and tracing
- Resilience - Self-healing and fault tolerance
System Architecture¶
High-Level Component View¶
┌──────────────────────────────────────────────────────────────┐
│ End Users │
│ (Developers, Operators) │
└────────────────────┬─────────────────────────────────────────┘
│
┌───────────┴───────────┐
│ │
┌────▼─────┐ ┌─────▼────┐
│ CLI │ │ Web UI │
│ Client │ │ (Future) │
└────┬─────┘ └─────┬────┘
│ │
└──────────┬───────────┘
│
┌──────────▼──────────┐
│ API Gateway │ ← Authentication & routing
└──────────┬──────────┘
│
┌───────────────┴───────────────┐
│ │
┌───▼────────────┐ ┌──────────▼─────────┐
│ Control Plane │ │ Data Plane │
│ Components │ │ (Applications) │
└───┬────────────┘ └────────────────────┘
│
│ Manages
│
┌───▼─────────────────────────────────────┐
│ Kubernetes Cluster │
│ (Pods, Services, Volumes, etc.) │
└─────────────────────────────────────────┘
Core Components¶
Control Plane¶
The control plane manages the platform and orchestrates application lifecycle:
API Server¶
Purpose: Central API endpoint for all TAPPaaS operations
Responsibilities:
- Accept and validate requests from CLI and other clients
- Authenticate and authorize users
- Coordinate with other control plane components
- Maintain desired state
Technology:
- RESTful API design
- GraphQL endpoint (future)
- JWT-based authentication
Application Controller¶
Purpose: Manage application lifecycle and state
Responsibilities:
- Process application deployment requests
- Translate high-level app configurations to Kubernetes resources
- Monitor application health and status
- Handle updates and rollbacks
- Manage application scaling
Key Operations:
- Create and manage Deployments, Services, ConfigMaps
- Configure Ingress rules for routing
- Set up monitoring and logging
- Apply resource quotas and limits
Build System¶
Purpose: Convert source code into container images
Responsibilities:
- Detect application language and framework
- Execute build process (dependency installation, compilation, etc.)
- Create optimized container images
- Push images to container registry
- Cache build artifacts for faster subsequent builds
Capabilities:
- Buildpack support for popular languages
- Dockerfile support for custom builds
- Multi-stage build optimization
- Build caching
Routing & Ingress Manager¶
Purpose: Manage external and internal application routing
Responsibilities:
- Configure ingress controllers
- Manage DNS and domain mapping
- Handle SSL/TLS certificates
- Set up load balancing
- Enable service discovery
Features:
- Automatic HTTPS with Let's Encrypt
- Custom domain support
- Path-based routing
- Traffic splitting for canary deployments
Configuration & Secrets Manager¶
Purpose: Manage application configuration and sensitive data
Responsibilities:
- Store and version application configuration
- Securely manage secrets and credentials
- Inject configuration into applications
- Handle configuration updates
Security:
- Encryption at rest and in transit
- Secret rotation support
- Integration with external secret stores (future)
Data Plane¶
The data plane consists of the running applications managed by TAPPaaS:
Application Pods¶
Purpose: Run application workloads
Characteristics:
- Standard Kubernetes Pods
- Configured with appropriate resources
- Include sidecar containers for logging, metrics
- Automatic health checks
- Integrated with service mesh (optional)
Supporting Services¶
Purpose: Provide application dependencies and add-ons
Examples:
- Databases (PostgreSQL, MySQL, Redis, etc.)
- Message queues
- Caching layers
- Background job processors
Management:
- Provisioned through TAPPaaS
- Bound to applications via service bindings
- Backed up and monitored
Platform Services¶
Infrastructure services supporting the control and data planes:
Monitoring & Observability¶
Components:
- Metrics Collection - Prometheus for time-series metrics
- Log Aggregation - Centralized logging system
- Distributed Tracing - Request tracking across services
- Alerting - Automated notifications for issues
Data Collected:
- Application performance metrics
- Resource utilization
- Error rates and logs
- Request traces
Container Registry¶
Purpose: Store and distribute container images
Features:
- Private registry for built images
- Image scanning for vulnerabilities
- Image garbage collection
- High availability and caching
Storage Layer¶
Purpose: Provide persistent storage for applications
Components:
- Persistent volume provisioning
- Backup and restore capabilities
- Storage class management
- Data encryption
How Components Interact¶
Deployment Flow¶
This is what happens when you deploy an application with TAPPaaS:
1. Developer → CLI: tappaas deploy my-app
│
2. CLI → API Server: POST /applications/my-app
│
3. API Server → Auth: Validate user & permissions
│
4. API Server → Application Controller: Create/update application
│
5. Application Controller:
├─→ Build System: Build container image from source
│ └─→ Registry: Push built image
│
├─→ Kubernetes API: Create/update resources
│ ├─→ Deployment (manage Pods)
│ ├─→ Service (networking)
│ ├─→ ConfigMap (configuration)
│ └─→ Secret (credentials)
│
└─→ Routing Manager: Configure ingress
└─→ Ingress Controller: Route traffic to application
│
6. Monitoring: Start collecting metrics and logs
│
7. Application Controller → API Server: Update status
│
8. API Server → CLI: Return deployment status
│
9. CLI → Developer: Display deployment URL and status
Monitoring and Health Management¶
Continuous monitoring and self-healing:
┌─────────────────────────────────────────────┐
│ Monitoring System │
│ (Collects metrics, logs, traces) │
└────┬────────────────────────────────────────┘
│
│ Metrics & Events
│
┌────▼────────────────────────────────────────┐
│ Application Controller │
│ (Monitors application health) │
└────┬────────────────────────────────────────┘
│
│ Detects Issues
│
├─→ Unhealthy Pod → Kubernetes → Restart Pod
├─→ High Load → Scale up replicas
├─→ Low Load → Scale down replicas
└─→ Failed Deployment → Automatic rollback
Deployment Models¶
TAPPaaS supports various deployment configurations:
Single-Node Development¶
Use Case: Local development and testing
Characteristics:
- Minimal resource requirements
- Quick setup (minutes)
- Single control plane node
- Co-located data plane
- Suitable for old hardware
Ideal For:
- Learning TAPPaaS
- Local development
- CI/CD testing
- Proof of concepts
Multi-Node Production¶
Use Case: Production workloads
Characteristics:
- High availability control plane
- Separated control and data planes
- Multiple worker nodes
- Production-grade storage and networking
- Disaster recovery capabilities
Ideal For:
- Production applications
- Multi-team environments
- Mission-critical workloads
- Enterprise deployments
Multi-Cluster¶
Use Case: Large-scale or multi-region deployments
Characteristics:
- Multiple Kubernetes clusters
- Centralized management plane
- Cross-cluster application deployment
- Geographic distribution
- Disaster recovery across regions
Ideal For:
- Global applications
- Disaster recovery requirements
- Regulatory compliance (data residency)
- Very large scale
Security Architecture¶
Security is integrated throughout TAPPaaS:
Authentication & Authorization¶
- User Authentication - JWT tokens, OAuth integration
- Service Authentication - Service accounts and RBAC
- API Authorization - Role-based access control
- Namespace Isolation - Logical separation of applications
Network Security¶
- Network Policies - Restrict pod-to-pod communication
- Ingress TLS - Encrypted external traffic
- Service Mesh (optional) - mTLS for service-to-service communication
- Private Networking - Isolated network segments
Data Security¶
- Secrets Encryption - Encrypted at rest and in transit
- Image Scanning - Vulnerability detection in container images
- Audit Logging - Complete audit trail of operations
- Compliance - Support for compliance frameworks
Security Best Practices
For detailed security configuration and best practices, see the Security Model Reference.
Scalability & Performance¶
TAPPaaS is designed to scale:
Control Plane Scalability¶
- Stateless API servers - Scale horizontally
- Controller workload distribution - Multiple controller instances
- Efficient resource management - Minimal overhead
- Caching - Reduce load on Kubernetes API
Application Scalability¶
- Horizontal pod autoscaling - Automatic scaling based on metrics
- Vertical pod autoscaling - Adjust resource requests/limits
- Cluster autoscaling - Add/remove nodes based on demand
- Regional distribution - Deploy across availability zones
Performance Characteristics¶
- Fast deployments - Typical deployment < 2 minutes
- Efficient builds - Caching reduces build times by 10x
- Low latency - Minimal overhead for running applications
- High throughput - Support thousands of applications per cluster
Extensibility¶
TAPPaaS can be extended to meet specific needs:
Plugin System (Future)¶
- Custom buildpacks for specialized languages
- Integration plugins for external services
- Custom authentication providers
- Deployment hooks and workflows
Kubernetes CRDs¶
- Extend TAPPaaS with custom resources
- Define organizational-specific abstractions
- Integrate with existing Kubernetes tooling
API Integrations¶
- RESTful API for programmatic access
- Webhook support for event-driven automation
- CLI extensibility
Technology Stack¶
TAPPaaS is built with modern, proven technologies:
Core Technologies¶
- Kubernetes - Container orchestration (v1.26+)
- Go - Control plane implementation
- Container Runtime - containerd, Docker, or CRI-O
- Helm - Package management and installation
Supporting Technologies¶
- Prometheus - Metrics and monitoring
- Container Registry - Harbor or compatible registry
- Ingress Controller - NGINX, Traefik, or others
- Cert-Manager - Automatic TLS certificate management
Build System¶
- Cloud Native Buildpacks - Language detection and building
- Docker/Buildkit - Container image creation
- Registry - Image storage and distribution
Comparison with Alternatives¶
Understanding how TAPPaaS compares to other approaches:
TAPPaaS vs. Raw Kubernetes¶
| Aspect | Raw Kubernetes | TAPPaaS |
|---|---|---|
| Learning Curve | Steep, requires deep knowledge | Gentle, simple for developers |
| Configuration | Verbose YAML manifests | Simple application config |
| Best Practices | Must be implemented manually | Built-in and enforced |
| Developer Experience | Infrastructure-focused | Application-focused |
| Flexibility | Complete control | High-level with escape hatches |
TAPPaaS vs. Traditional PaaS¶
| Aspect | Traditional PaaS (Heroku) | TAPPaaS |
|---|---|---|
| Infrastructure | Proprietary, hosted | Your Kubernetes cluster |
| Vendor Lock-in | High | None (open source) |
| Customization | Limited | Highly customizable |
| Cost | Per-app pricing | Self-hosted, infrastructure costs only |
| Portability | Vendor-specific | Runs anywhere Kubernetes runs |
Next Steps¶
Now that you understand TAPPaaS architecture:
-
Install TAPPaaS
Get TAPPaaS running on your infrastructure.
-
Detailed Architecture
Dive deeper into technical specifications.
-
Configuration
Learn about configuration options.
-
Quick Start
Deploy your first application.
Additional Resources¶
- Vision & Problem Statement - Why TAPPaaS exists
- Introduction - Getting started with TAPPaaS concepts
- Core Components Reference - Detailed component documentation
- Security Model - Security architecture and practices