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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:


Additional Resources