Implementation Roadmap (Solo Developer)

Overview

This document outlines a phased approach to building the production Solana trading system as a solo developer project, prioritizing core functionality and MVP delivery while iteratively adding advanced features. The roadmap is designed to be realistic and achievable for one developer working part-time or full-time.

Phase 0: Foundation Setup (Week 1-2)

Goals

Repository structure finalized
Development environment configured
Local infrastructure setup
Reference code organized

Deliverables

1. Repository Structure

solana-trading-system/
├── services/
│   ├── scanners/           # TypeScript
│   ├── planners/           # TypeScript
│   ├── executors/          # TypeScript
│   ├── quote-service/      # Go
│   ├── rpc-proxy/          # Rust
│   └── tx-builder/         # Rust
├── libs/
│   ├── shared-types/       # TypeScript types
│   ├── rpc-client/         # Shared RPC utilities
│   └── event-schemas/      # NATS event definitions
├── infrastructure/
│   ├── k8s/                # Kubernetes manifests
│   ├── terraform/          # IaC for cloud resources
│   └── docker-compose/     # Local development
├── monitoring/
│   ├── grafana/
│   ├── prometheus/
│   └── jaeger/
└── scripts/
    ├── setup/
    └── deploy/

2. Development Environment

Docker Compose stack for local development
NATS JetStream
Redis Cluster
PostgreSQL
Grafana stack
Mock RPC endpoints for testing

3. CI/CD Pipeline

GitHub Actions or GitLab CI
Automated testing (unit, integration)
Container image building
Staging deployment
Production deployment gates

4. Infrastructure Deployment

Kubernetes cluster setup (AWS EKS, GCP GKE, or Azure AKS)
Managed NATS service or self-hosted
Managed Redis (ElastiCache, Redis Cloud)
Managed PostgreSQL (RDS, Cloud SQL)
Grafana Cloud or self-hosted

Success Criteria

Local development environment running (Docker Compose)
Basic CI/CD pipeline configured (GitHub Actions)
Infrastructure health checks passing locally
Core documentation reviewed and understood

Phase 1: Core Infrastructure (Week 3-4)

Goals

Event bus operational
Database schemas defined
Monitoring stack functional
RPC proxy deployed

Deliverables

1. NATS JetStream Setup

Technology: NATS Server Location: infrastructure/nats/

Streams to Create:

market.events         - Market data from scanners (7-day retention)
trade.opportunities   - Trading opportunities from planners (1-day retention)
execution.orders      - Execution requests and results (30-day retention)
system.metrics        - Internal metrics (7-day retention)

Configuration:

Persistence enabled
Replicas: 3 (production)
Max message size: 1MB
Acknowledgment timeout: 30s

2. PostgreSQL Schema

Location: infrastructure/database/migrations/

Tables:

-- Wallet management
wallets (id, type, address, expected_balance, actual_balance, last_sync)
wallet_transactions (id, wallet_id, signature, amount, token, timestamp)

-- Trading history
trades (id, strategy, wallet_id, signature, profit, status, timestamp)
trade_routes (id, trade_id, step, protocol, pool, input_amount, output_amount)

-- Strategy state
strategy_configs (id, strategy_type, parameters, enabled, last_run)
grid_orders (id, strategy_id, price_level, amount, filled, status)

-- System metrics
scanner_metrics (timestamp, scanner_id, events_processed, latency_p99)
planner_metrics (timestamp, planner_id, opportunities_found, avg_profit)
executor_metrics (timestamp, executor_id, tx_submitted, success_rate)

3. Redis Key Structure

Location: libs/redis-client/schemas.ts

Key Patterns:

// Hot data (5-min TTL)
price:{token}:{dex}                    → {price, timestamp}
quote:{input}:{output}:{amount}        → {quote_response}

// Warm data (12-hour TTL)
volume:{token}:24h                     → {volume, avg_trade_size}
route_template:{hash}                  → {route_template}

// State (persistent)
wallet:balance:{address}:{token}       → {expected, actual, last_sync}
strategy:state:{strategy_id}           → {state_json}
system:health:{service}                → {status, last_heartbeat}

// Locks (30-sec TTL)
lock:executor:{wallet_id}              → {transaction_id}

4. RPC Proxy Service (Rust)

Location: services/rpc-proxy/ Technology: Rust + Tokio + Axum

Features:

HTTP and WebSocket proxying
Connection pooling (100 connections per endpoint)
Round-robin load balancing
Health checks every 30s
Request/response metrics

Configuration:

struct RpcProxyConfig {
    endpoints: Vec<String>,
    max_connections_per_endpoint: usize,
    health_check_interval: Duration,
    request_timeout: Duration,
    retry_count: usize,
}

Endpoints:

GET  /rpc/health              - Proxy health check
POST /rpc                     - RPC request proxy
WS   /rpc/ws                  - WebSocket subscription proxy
GET  /rpc/metrics             - Prometheus metrics

Success Criteria

NATS streams created and accepting messages
PostgreSQL schema migrated
Redis accessible with example keys
RPC proxy routing requests successfully
All services emitting metrics to Prometheus

Phase 2: Quote Service & Basic Scanner (Week 5-6)

Goals

Quote service operational (Go port of SolRoute)
Basic market scanner running
Price feed scanner active

Deliverables

1. Quote Service (Go)

Location: services/quote-service/ Based on: Existing go/ codebase

Enhancements:

Add REST API with OpenAPI spec
Add gRPC endpoint for low latency
Implement batch quote endpoint
Add caching layer (Redis)
Health monitoring endpoint
Prometheus metrics

API Endpoints:

POST /v1/quote              - Single quote
POST /v1/quote/batch        - Batch quotes (up to 100)
GET  /v1/pools              - List supported pools
GET  /v1/pools/{mint}       - Pools for token
GET  /v1/health             - Health check
GET  /v1/metrics            - Prometheus metrics

Performance Target:

Single quote: < 10ms (p99)
Batch quote: < 50ms for 100 quotes (p99)
Throughput: 1000 quotes/second

2. Market Event Scanner

Location: services/scanners/market-events/ Technology: TypeScript

Features:

Shredstream integration (primary)
WebSocket fallback
Client-side filtering by account
Event deduplication (Redis)
NATS publishing

Configuration:

interface ScannerConfig {
  mode: "shredstream" | "websocket" | "rpc-polling";
  accounts: Address[];
  bufferSize: number;
  dedupWindowMs: number;
  natsStream: string;
}

Event Schema:

interface MarketEvent {
  type: "pool_update" | "large_swap" | "liquidity_change";
  protocol: string;
  poolAddress: Address;
  tokenA: Address;
  tokenB: Address;
  timestamp: number;
  slot: number;
  data: Record<string, any>;
}

3. Price Feed Scanner

Location: services/scanners/price-feed/ Technology: Go

Features:

Concurrent DEX pool queries
Oracle price fetching (Pyth, Switchboard)
Price aggregation and spread calculation
Redis caching (5-min TTL)
NATS publishing

Price Event Schema:

interface PriceUpdate {
  token: Address;
  sources: {
    dex: string;
    price: number;
    liquidity: number;
    volume24h: number;
  }[];
  bestBid: number;
  bestAsk: number;
  spread: number;
  timestamp: number;
}

Success Criteria

Quote service responding in < 10ms (p99)
Market scanner detecting pool updates within 200ms
Price feed updating every 5 seconds
All data flowing to NATS
No data loss (NATS acknowledgments working)

Phase 3: Arbitrage Planner & Executor (Week 7-9)

Goals

First complete trading loop operational
Arbitrage strategy implemented
Jito executor functional

Deliverables

1. Arbitrage Planner

Location: services/planners/arbitrage/ Technology: TypeScript

Features:

Subscribe to price updates (NATS)
Hybrid quote generation (Go service + Jupiter fallback)
Profit calculation with fees
Route template caching
Opportunity ranking and filtering

Logic:

class ArbitragePlanner {
  async analyzePriceUpdate(priceUpdate: PriceUpdate) {
    const pairs = generateTradingPairs(priceUpdate.token);

    for (const pair of pairs) {
      const quote1 = await this.quoteService.getQuote({
        input: pair.tokenA,
        output: pair.tokenB,
        amount: pair.testAmount
      });

      const quote2 = await this.quoteService.getQuote({
        input: pair.tokenB,
        output: pair.tokenA,
        amount: quote1.outputAmount
      });

      const profit = this.calculateProfit(
        pair.testAmount,
        quote2.outputAmount,
        quote1.fee + quote2.fee
      );

      if (profit > this.threshold) {
        await this.publishOpportunity({
          strategy: "arbitrage",
          routes: [quote1, quote2],
          expectedProfit: profit,
          priority: this.calculatePriority(profit)
        });
      }
    }
  }

  calculateProfit(inAmount, outAmount, totalFees): number {
    const flashLoanFee = inAmount * 0.0005; // Kamino 0.05%
    const jitoTip = 5000 + Math.random() * 1000; // 5000-6000 lamports
    return outAmount - inAmount - totalFees - flashLoanFee - jitoTip;
  }
}

2. Transaction Coordinator

Location: services/executors/coordinator/ Technology: TypeScript

Features:

Subscribe to opportunities (NATS)
Select appropriate wallet
Select appropriate executor (Jito vs TPU)
Manage concurrency limits
Track pending transactions

Routing Logic:

class TransactionCoordinator {
  async route(opportunity: TradeOpportunity) {
    // Select wallet
    const wallet = await this.walletManager.selectWallet({
      requiredBalance: opportunity.requiredAmount,
      preferredTier: "worker"
    });

    // Select executor
    const executor = this.selectExecutor(opportunity);

    // Check concurrency
    await this.semaphore.acquire();

    try {
      // Execute
      const result = await executor.execute({
        opportunity,
        wallet,
        timeout: 30000
      });

      await this.publishResult(result);
    } finally {
      this.semaphore.release();
    }
  }

  selectExecutor(opp: TradeOpportunity): Executor {
    if (opp.expectedProfit > 0.1 * LAMPORTS_PER_SOL) {
      return this.jitoExecutor; // High value = MEV protection
    }
    if (opp.strategy === "arbitrage") {
      return this.jitoExecutor; // Time-sensitive
    }
    return this.tpuExecutor; // Lower cost
  }
}

3. Jito Bundle Executor

Location: services/executors/jito/ Technology: TypeScript + Jito SDK

Features:

Transaction building with flash loans
Address lookup table compression
Bundle submission to Jito
Confirmation monitoring
Error handling and retries

Implementation:

class JitoExecutor {
  async execute(request: ExecutionRequest): Promise<ExecutionResult> {
    // Build transaction
    const tx = await this.buildTransaction({
      wallet: request.wallet,
      routes: request.opportunity.routes,
      useFlashLoan: true
    });

    // Sign
    const signedTx = await this.signTransaction(tx, request.wallet);

    // Get tip account
    const tipAccount = await this.jitoClient.getRandomTipAccount();

    // Submit bundle
    const bundleId = await this.jitoClient.sendBundle({
      transactions: [signedTx],
      skipPreflightValidation: false
    });

    // Monitor
    const status = await this.monitorBundle(bundleId, 30000);

    // Parse results
    return this.parseExecutionResult(status, request.opportunity);
  }
}

Success Criteria

Arbitrage opportunities detected correctly
Transactions building without errors
Jito bundles submitting successfully
At least 1 profitable trade executed
End-to-end latency < 5 seconds (detection → execution)

Phase 4: Wallet Management & Preparers (Week 10-11)

Goals

Multi-tier wallet system operational
Automatic balance management
Initialization automation

Deliverables

1. Wallet Manager Service

Location: services/preparers/wallet-manager/ Technology: TypeScript

Features:

Wallet tier management (Treasure, Controller, Proxy, Worker)
Expected vs actual balance tracking
Automatic rebalancing
Mask transfer for anonymity
ATA creation

Wallet Tiers:

enum WalletTier {
  TREASURE = "treasure",   // Hot wallet, funding source
  CONTROLLER = "controller", // Management operations
  PROXY = "proxy",         // External-facing, anonymity
  WORKER = "worker"        // Trading execution
}

interface Wallet {
  id: string;
  tier: WalletTier;
  address: Address;
  privateKey: string; // Encrypted at rest
  expectedBalance: Record<string, bigint>; // token → amount
  actualBalance: Record<string, bigint>;
  lastSync: Date;
  enabled: boolean;
}

Auto-Rebalancing:

async checkAndRebalance() {
  for (const wallet of this.workerWallets) {
    const balance = await this.getBalance(wallet, SOL_MINT);
    const expected = wallet.expectedBalance[SOL_MINT];

    if (balance < expected * 0.5) { // Below 50%
      const needed = expected - balance;
      await this.transferFromTreasure(wallet, needed);
    }

    if (balance > expected * 1.5) { // Above 150%
      const excess = balance - expected;
      await this.transferToTreasure(wallet, excess);
    }
  }
}

2. Market Data Initializer

Location: services/preparers/market-data-init/ Technology: Go

Features:

Fetch all DEX pools
Cache in Redis with proper TTL
Load Kamino lending markets
Initialize Jupiter route templates

Startup Sequence:

func Initialize(ctx context.Context) error {
  // 1. Fetch all pools
  pools, err := fetchAllPools(ctx, protocols)
  if err != nil {
    return err
  }

  // 2. Cache pools
  for _, pool := range pools {
    cachePool(ctx, pool, 5*time.Minute)
  }

  // 3. Load Kamino markets
  markets, err := loadKaminoMarkets(ctx)
  if err != nil {
    return err
  }

  // 4. Warm up quote service
  warmupQuotes(ctx, commonPairs)

  return nil
}

3. Config Validator

Location: services/preparers/config-validator/ Technology: TypeScript + Zod

Features:

Validate environment variables
Test connections (RPC, Redis, PostgreSQL, NATS)
Verify wallet keypairs
Generate missing configs

Validation Schema:

const ConfigSchema = z.object({
  // RPC
  rpcEndpoints: z.array(z.string().url()).min(3),
  rpcTimeout: z.number().min(5000),

  // NATS
  natsUrl: z.string().url(),
  natsToken: z.string().optional(),

  // Redis
  redisUrl: z.string().url(),
  redisPassword: z.string().optional(),

  // PostgreSQL
  databaseUrl: z.string().url(),

  // Wallets
  treasureWallet: z.string().length(88),
  workerWallets: z.array(z.string().length(88)).min(5),

  // Trading
  minProfitThreshold: z.number().positive(),
  maxConcurrentTrades: z.number().int().min(1).max(50),

  // Jito
  jitoUrl: z.string().url(),
  jitoUuid: z.string().uuid(),
  jitoTipBase: z.number().int().positive(),
});

Success Criteria

Wallets rebalancing automatically
Expected balance tracking accurate within 1%
Market data initialization completing in < 30s
Config validation catching misconfigurations

Phase 5: Grid Trading & Advanced Strategies (Week 12-14)

Goals

Grid trading planner operational
Order book management system
DCA planner implemented

Deliverables

1. Grid Trading Planner

Location: services/planners/grid-trading/ Technology: TypeScript

Features:

Generate grid levels
Monitor price vs grid
Trigger buy/sell orders
P&L tracking
Grid rebalancing

Implementation:

class GridTradingPlanner {
  async initialize(config: GridConfig) {
    const levels = this.generateGridLevels({
      basePrice: config.basePrice,
      gridCount: config.gridCount,
      spacing: config.spacingPercent / 100
    });

    // Create initial orders
    for (const level of levels) {
      await this.createOrder({
        type: "buy",
        price: level.buyPrice,
        amount: level.amount,
        ttl: config.orderTTL
      });

      await this.createOrder({
        type: "sell",
        price: level.sellPrice,
        amount: level.amount,
        ttl: config.orderTTL
      });
    }

    this.saveState(levels);
  }

  async onPriceUpdate(price: number) {
    const levels = this.getState();

    for (const level of levels) {
      if (price <= level.buyPrice && !level.buyFilled) {
        await this.triggerBuyOrder(level);
      }

      if (price >= level.sellPrice && !level.sellFilled) {
        await this.triggerSellOrder(level);
      }
    }
  }
}

2. Order Book Manager

Location: services/planners/order-book/ Technology: TypeScript + Redis queues

Features:

Queue-based order management
Order TTL enforcement
Split orders for large sizes
Jupiter limit order integration

Order Schema:

interface GridOrder {
  id: string;
  strategyId: string;
  type: "buy" | "sell";
  token: Address;
  price: number;
  amount: bigint;
  filled: bigint;
  status: "pending" | "partial" | "filled" | "cancelled" | "expired";
  createdAt: Date;
  expiresAt: Date;
}

3. DCA Planner

Location: services/planners/dca/ Technology: TypeScript

Features:

Time-based order scheduling
Price limit orders
Position tracking
Stop-loss / take-profit

Configuration:

interface DCAConfig {
  token: Address;
  quoteCurrency: Address;
  intervalMinutes: number;
  amountPerOrder: bigint;
  maxPrice?: number; // Don't buy above this
  minPrice?: number; // Don't sell below this
  stopLoss?: number; // Exit if price drops below
  takeProfit?: number; // Exit if price rises above
  maxPosition: bigint; // Total accumulation limit
}

Success Criteria

Grid trading executing orders at correct levels
Order book managing 100+ simultaneous orders
DCA orders executing on schedule
All strategies tracking P&L accurately

Phase 6: AI Analysis & Advanced Features (Week 15-17)

Goals

ChatGPT integration operational
Advanced monitoring dashboards
Performance optimizations

Deliverables

1. AI Analysis Planner

Location: services/planners/ai-analysis/ Technology: TypeScript + OpenAI API

Features:

TradingView chart generation
ChatGPT analysis
Signal generation
Multi-language support

Implementation:

class AIAnalysisPlanner {
  async analyzeChart(token: Address): Promise<TradingSignal> {
    // Generate chart URL
    const chartUrl = await this.tradingView.generateChart({
      token,
      timeframe: "1h",
      indicators: ["RSI", "MACD", "Volume"]
    });

    // Request analysis
    const analysis = await this.openai.chat.completions.create({
      model: "gpt-4-vision-preview",
      messages: [{
        role: "user",
        content: [
          { type: "text", text: this.prompt },
          { type: "image_url", image_url: { url: chartUrl } }
        ]
      }]
    });

    // Parse response
    return this.parseSignal(analysis.choices[0].message.content);
  }
}

2. Advanced Dashboards

Location: monitoring/grafana/dashboards/

Dashboards to Create:

Trading Performance (P&L, ROI, win rate)
Strategy Comparison (arbitrage vs grid vs DCA)
Wallet Health (balances, rebalancing events)
System Performance (latency, throughput, errors)
RPC Health (endpoint status, latency, error rate)

3. Performance Optimizations

Tasks:

Profile all services for bottlenecks
Optimize hot paths (quote generation, transaction building)
Implement connection pooling everywhere
Add read replicas for PostgreSQL
Enable Redis cluster mode
Optimize NATS message sizes

Success Criteria

AI analysis generating valid signals
Dashboards showing real-time data
End-to-end latency < 3 seconds (p99)
System handling 100+ trades/hour
Zero downtime deployments working

Phase 7: Production Hardening (Week 18-20)

Goals

System resilient to failures
Security hardened
Documentation complete
Performance validated

Deliverables

1. Fault Tolerance

All services have health checks
Automatic restarts on crashes
Circuit breakers on external APIs
Graceful degradation (SolRoute → Jupiter)
Dead letter queues for failed messages
Transaction replay on network errors

2. Security

Private keys in Vault / Secrets Manager
TLS for all inter-service communication
API authentication (JWT tokens)
Rate limiting on public endpoints
Audit logging for sensitive operations
Secret rotation automation

3. Testing

Unit tests (80%+ coverage)
Integration tests (all services)
End-to-end tests (full trading loop)
Load tests (1000 trades/hour)
Chaos engineering (kill services randomly)
Disaster recovery drills

4. Documentation

Architecture documentation (complete)
API documentation (OpenAPI specs)
Runbooks for operations (incidents, deployments)
Development setup guide
Monitoring and alerting guide

5. Performance Validation

Target SLAs:

Scanner latency: < 200ms (p99)
Planner latency: < 1s (p99)
Executor latency: < 5s (p99)
Quote service: < 10ms (p99)
System availability: 99.9%
Trade success rate: > 95%

Success Criteria

Phase 8: Production Launch (Week 21+)

Pre-Launch Checklist

Infrastructure

Kubernetes cluster production-ready (multi-AZ)
Managed services configured (NATS, Redis, PostgreSQL)
Monitoring stack deployed (Prometheus, Grafana, Jaeger)
Alerting configured (PagerDuty, Slack)
Backups automated (database, Redis)

Application

Operations

On-call rotation established
Incident response procedures documented
Escalation paths defined
Runbooks reviewed
Communication channels set up (Slack, email)

Launch Strategy

Phase 8.1: Dark Launch (Week 21)

Deploy to production but don’t execute trades
Monitor for 7 days
Validate data flows
Test alerts
Fix any issues

Phase 8.2: Limited Launch (Week 22)

Enable arbitrage strategy only
Small position sizes ($100-$500)
5 worker wallets
Monitor for 7 days
Validate profitability

Phase 8.3: Gradual Ramp (Week 23-24)

Increase position sizes gradually
Add more worker wallets
Enable grid trading strategy
Monitor performance
Optimize parameters

Phase 8.4: Full Launch (Week 25+)

All strategies enabled
Full wallet allocation
Optimal position sizing
Continuous optimization
Regular performance reviews

Post-Launch

Week 26+:

Daily performance reviews
Weekly strategy optimization
Monthly infrastructure reviews
Quarterly feature planning
Continuous improvement

Resource Requirements

Team

2-3 Backend Engineers (TypeScript, Go, Rust)
1 DevOps Engineer (Kubernetes, Terraform)
1 QA Engineer (Testing, automation)
1 Product Manager (Strategy, requirements)
0.5 Security Engineer (Part-time audits)

Infrastructure Costs (Monthly Estimates)

Kubernetes cluster: $500-$1000
Managed NATS: $200-$400
Managed Redis: $200-$400
Managed PostgreSQL: $300-$600
RPC endpoints (premium): $1000-$5000
Monitoring (Grafana Cloud): $200-$500
Secrets Manager: $50-$100
Load balancer / ingress: $100-$200
Total: $2,550-$8,200/month

Development Timeline

Phase 0-1: 4 weeks (Foundation)
Phase 2-3: 5 weeks (Core functionality)
Phase 4-5: 5 weeks (Advanced features)
Phase 6-7: 6 weeks (Production hardening)
Phase 8: 5+ weeks (Launch)
Total: 25 weeks (~6 months) to production

Risk Mitigation

Technical Risks

Operational Risks

Business Risks

Success Metrics

Technical Metrics

Scanner latency (p50, p99, p999)
Planner opportunity detection rate
Executor success rate
Quote service latency
System availability (uptime %)
Transaction confirmation rate

Business Metrics

Total P&L (daily, weekly, monthly)
ROI %
Win rate %
Average profit per trade
Sharpe ratio
Max drawdown

Operational Metrics

Mean time to recovery (MTTR)
Incident count
Deployment frequency
Lead time for changes
Change failure rate

Next Steps

Review and approve this roadmap
Assemble team
Allocate budget
Set up project tracking (Jira, Linear, etc.)
Begin Phase 0

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James Shen

Implementation Roadmap (Solo Developer)

Overview

Phase 0: Foundation Setup (Week 1-2)

Goals

Deliverables

1. Repository Structure

2. Development Environment

3. CI/CD Pipeline

4. Infrastructure Deployment

Success Criteria

Phase 1: Core Infrastructure (Week 3-4)

Goals

Deliverables

1. NATS JetStream Setup

2. PostgreSQL Schema

3. Redis Key Structure

4. RPC Proxy Service (Rust)

Success Criteria

Phase 2: Quote Service & Basic Scanner (Week 5-6)

Goals

Deliverables

1. Quote Service (Go)

2. Market Event Scanner

3. Price Feed Scanner

Success Criteria

Phase 3: Arbitrage Planner & Executor (Week 7-9)

Goals

Deliverables

1. Arbitrage Planner

2. Transaction Coordinator

3. Jito Bundle Executor

Success Criteria

Phase 4: Wallet Management & Preparers (Week 10-11)

Goals

Deliverables

1. Wallet Manager Service

2. Market Data Initializer

3. Config Validator

Success Criteria

Phase 5: Grid Trading & Advanced Strategies (Week 12-14)

Goals

Deliverables

1. Grid Trading Planner

2. Order Book Manager

3. DCA Planner

Success Criteria

Phase 6: AI Analysis & Advanced Features (Week 15-17)

Goals

Deliverables

1. AI Analysis Planner

2. Advanced Dashboards

3. Performance Optimizations

Success Criteria

Phase 7: Production Hardening (Week 18-20)

Goals

Deliverables

1. Fault Tolerance

2. Security

3. Testing

4. Documentation

5. Performance Validation

Success Criteria

Phase 8: Production Launch (Week 21+)

Pre-Launch Checklist

Infrastructure

Application

Operations

Launch Strategy

Post-Launch

Resource Requirements

Team

Infrastructure Costs (Monthly Estimates)

Development Timeline

Risk Mitigation

Technical Risks

Operational Risks

Business Risks

Success Metrics

Technical Metrics