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docs/ROADMAP.md
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docs/ROADMAP.md
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# ROADMAP
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This document outlines the roadmap of tasks done by claude in this project.
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## Development Workflow
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1. **Task Planning**
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- Study existing code and documentation and understand the current state
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- Update `ROADMAP.md` to include the new task
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2. **Task Creation**
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- Study existing code and documentation and understand the current state
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- Create a new task in `docs/tasks/` directory
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- Name format: `XX-<task-name>.md` (e.g., `01-setup-docker.md`)
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- Include high level specification of the task, including:
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- Relevant files
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- Purpose and goals
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- Key components and technologies involved
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- Expected outcomes and deliverables
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- Tests (If applicable)
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- Implementation steps
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- TODO items and subtasks
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- Note that this is a new task, the TODO items should be unchecked.
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3. **Task Implementation**
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- Study existing code and documentation and understand the current state
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- Follow the specification from the tasks file
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- Implement features and functionality
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- Update step progress within the task file after each step
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4. **Roadmap Update**
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- Mark completed tasks with [X] in the `ROADMAP.md` file
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- Add reference to the task file (e.g. See [01-setup-docker.md](docs/tasks/01-setup-docker.md))
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## Development Tasks
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- [x] **Task 00: Helm Chart Deployment** - See [00-helm-chart-deployment.md](docs/tasks/00-helm-chart-deployment.md)
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- Create a Helm chart for Kubernetes deployment of the application.
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- Create `charts/` directory structure with standard Helm chart layout (Chart.yaml, values.yaml, templates/)
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- Define Kubernetes deployment manifests for the Bun-based API server with proper resource limits and health checks
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- Configure PostgreSQL database deployment or external database connection options in the chart
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- Set up ingress configuration with configurable domain and TLS certificate management
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- Add comprehensive values.yaml with environment-specific overrides for development, staging, and production deployments
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docs/tasks/00-helm-chart-deployment.md
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docs/tasks/00-helm-chart-deployment.md
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# Task 00: Helm Chart Deployment
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## Overview
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Create a comprehensive Helm chart for Kubernetes deployment of the Bun-based API server application. This task will enable containerized deployment across different environments (staging, production) with proper configuration management and scalability.
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## Relevant Files
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- `api/Dockerfile` - Existing container definition for the Bun API server
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- `api/package.json` - Application dependencies and metadata
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- `api/src/index.ts` - Main application entry point using Effect-TS
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- `docker-compose.yml` - Current PostgreSQL development setup
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- `charts/` - New directory for Helm chart files (to be created)
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## Purpose and Goals
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- Enable Kubernetes deployment of the Bun API server across multiple environments
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- Provide configurable database connection options (embedded PGLite vs external PostgreSQL)
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- Implement proper resource management, health checks, and scaling capabilities
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- Support ingress configuration with TLS certificate management
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- Allow environment-specific customization through values files
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## Key Components and Technologies
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- **Helm 3.x** - Kubernetes package manager for templating and deployment
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- **Kubernetes** - Container orchestration platform
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- **Bun Runtime** - JavaScript/TypeScript runtime (oven/bun:1.2.19-alpine base image)
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- **Effect-TS** - Functional programming framework used by the API
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- **PostgreSQL** - Database option for production deployments
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- **Ingress Controller** - For external traffic routing and TLS termination
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## Expected Outcomes and Deliverables
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### Chart Structure
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```
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charts/system/
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├── Chart.yaml # Chart metadata and version information
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├── values.yaml # Default configuration values
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├── values-staging.yaml # Staging environment overrides
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├── values-prod.yaml # Production environment overrides
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└── templates/
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├── deployment.yaml # API server deployment manifest
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├── service.yaml # Service definition for API endpoints
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├── ingress.yaml # Ingress configuration with TLS
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├── configmap.yaml # Configuration data for the application
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├── secret.yaml # Sensitive configuration (database credentials)
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├── hpa.yaml # Horizontal Pod Autoscaler (optional)
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└── NOTES.txt # Post-installation instructions
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```
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### Key Features
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- **Multi-environment support** with environment-specific values files
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- **Database flexibility** - configurable PostgreSQL or PGLite usage
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- **Resource management** with CPU/memory limits and requests
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- **Health checks** - readiness and liveness probes for the API server
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- **Horizontal scaling** capability with HPA configuration
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- **Ingress configuration** with configurable domains and TLS certificates
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- **Security** - non-root container execution and proper secret management
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## Tests
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### Validation Tests
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- [x] Helm chart linting (`helm lint charts/system/`)
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- [x] Template rendering validation (`helm template charts/system/`)
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- [x] Values schema validation for all environment files
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- [x] Kubernetes manifest syntax validation
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## Implementation Steps
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### Step 1: Create Chart Foundation
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- [x] Create `charts/system/` directory structure
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- [x] Initialize `Chart.yaml` with proper metadata
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- [x] Create base `values.yaml` with comprehensive default values
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- [x] Set up templating helpers in `_helpers.tpl`
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### Step 2: Core Kubernetes Manifests
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- [x] Create `deployment.yaml` template for the Bun API server
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- Configure container image and tag templating
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- Set up resource limits and requests
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- Add environment variable configuration
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- Implement readiness and liveness probes
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- [x] Create `service.yaml` template for API endpoints
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- Configure service type and port mapping
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- Add service annotations for load balancer configuration
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- [x] Create `configmap.yaml` for application configuration
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- Environment-specific settings
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- Database connection parameters
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### Step 3: Database Configuration
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- [x] Add PostgreSQL database deployment option in templates
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- External database connection configuration
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- [x] Configure PGLite embedded database option
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- Volume mounting for data persistence
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- Memory/storage configuration
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- [x] Create `secret.yaml` template for database credentials
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- Templated secret generation
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- External secret integration capabilities
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### Step 4: Ingress and Networking
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- [x] Create `ingress.yaml` template
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- Configurable host domains
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- TLS certificate management (cert-manager integration)
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- Path-based routing configuration
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- Ingress class configuration
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- [ ] Add network policies (optional)
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- Database access restrictions
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- External traffic controls
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### Step 5: Scaling and Performance
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- [x] Create `hpa.yaml` template for horizontal pod autoscaling
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- CPU and memory-based scaling triggers
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- Custom metrics integration capabilities
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- [ ] Add resource monitoring configurations
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- ServiceMonitor for Prometheus (if applicable)
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- Logging configuration
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### Step 6: Environment-Specific Values
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- [x] Create `values-staging.yaml`
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- Multi-replica setup
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- External PostgreSQL configuration
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- Production-like resource allocation
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- Staging domain configuration
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- [x] Create `values-prod.yaml`
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- High availability configuration
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- External PostgreSQL with connection pooling
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- Strict resource limits and security policies
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- Production domain and TLS settings
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### Step 7: Documentation and Validation
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- [x] Create comprehensive `NOTES.txt` with deployment instructions
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- [x] Add inline documentation to all template files
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- [ ] Create deployment guide in `charts/system/README.md`
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- [x] Validate all templates with different values files
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## TODO Items and Subtasks
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### Prerequisites
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- [ ] Verify Kubernetes cluster access and Helm installation
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- [ ] Determine ingress controller type (nginx, traefik, etc.)
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- [ ] Identify certificate management strategy (cert-manager, manual)
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- [ ] Choose container registry for image storage
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### Database Strategy
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- [ ] Define database migration strategy for Kubernetes deployment
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- [ ] Configure backup and restore procedures for PostgreSQL
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- [ ] Set up database monitoring and alerting
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- [ ] Plan for database scaling and connection pooling
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### Security Considerations
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- [ ] Implement Pod Security Standards compliance
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- [ ] Configure RBAC permissions for the application
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- [ ] Set up secret rotation strategies
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- [ ] Add network security policies
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### Monitoring and Observability
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- [ ] Integrate with logging infrastructure (Fluentd, Logstash)
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- [ ] Add metrics collection (Prometheus integration)
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- [ ] Configure distributed tracing (if applicable)
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- [ ] Set up alerting rules for application health
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### CI/CD Integration
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- [ ] Create GitHub Actions workflow for chart testing
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- [ ] Set up automated chart versioning and publishing
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- [ ] Add chart security scanning
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- [ ] Implement automated deployment pipelines
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This task will provide a production-ready Kubernetes deployment solution for the Bun-based API server, enabling scalable and manageable deployments across multiple environments.
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