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exa-migration-deep-dive

tessl install github:jeremylongshore/claude-code-plugins-plus-skills --skill exa-migration-deep-dive
github.com/jeremylongshore/claude-code-plugins-plus-skills

Execute Exa major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Exa, performing major version upgrades, or re-platforming existing integrations to Exa. Trigger with phrases like "migrate exa", "exa migration", "switch to exa", "exa replatform", "exa upgrade major".

Review Score

84%

Validation Score

12/16

Implementation Score

77%

Activation Score

90%

Exa Migration Deep Dive

Overview

Comprehensive guide for migrating to or from Exa, or major version upgrades.

Prerequisites

  • Current system documentation
  • Exa SDK installed
  • Feature flag infrastructure
  • Rollback strategy tested

Migration Types

TypeComplexityDurationRisk
Fresh installLowDaysLow
From competitorMediumWeeksMedium
Major versionMediumWeeksMedium
Full replatformHighMonthsHigh

Pre-Migration Assessment

Step 1: Current State Analysis

# Document current implementation
find . -name "*.ts" -o -name "*.py" | xargs grep -l "exa" > exa-files.txt

# Count integration points
wc -l exa-files.txt

# Identify dependencies
npm list | grep exa
pip freeze | grep exa

Step 2: Data Inventory

interface MigrationInventory {
  dataTypes: string[];
  recordCounts: Record<string, number>;
  dependencies: string[];
  integrationPoints: string[];
  customizations: string[];
}

async function assessExaMigration(): Promise<MigrationInventory> {
  return {
    dataTypes: await getDataTypes(),
    recordCounts: await getRecordCounts(),
    dependencies: await analyzeDependencies(),
    integrationPoints: await findIntegrationPoints(),
    customizations: await documentCustomizations(),
  };
}

Migration Strategy: Strangler Fig Pattern

Phase 1: Parallel Run
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   System    │ ──▶ │  Exa   │
│   (100%)    │     │   (0%)      │
└─────────────┘     └─────────────┘

Phase 2: Gradual Shift
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (50%)     │ ──▶ │   (50%)     │
└─────────────┘     └─────────────┘

Phase 3: Complete
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (0%)      │ ──▶ │   (100%)    │
└─────────────┘     └─────────────┘

Implementation Plan

Phase 1: Setup (Week 1-2)

# Install Exa SDK
npm install @exa/sdk

# Configure credentials
cp .env.example .env.exa
# Edit with new credentials

# Verify connectivity
node -e "require('@exa/sdk').ping()"

Phase 2: Adapter Layer (Week 3-4)

// src/adapters/exa.ts
interface ServiceAdapter {
  create(data: CreateInput): Promise<Resource>;
  read(id: string): Promise<Resource>;
  update(id: string, data: UpdateInput): Promise<Resource>;
  delete(id: string): Promise<void>;
}

class ExaAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const exaData = this.transform(data);
    return exaClient.create(exaData);
  }

  private transform(data: CreateInput): ExaInput {
    // Map from old format to Exa format
  }
}

Phase 3: Data Migration (Week 5-6)

async function migrateExaData(): Promise<MigrationResult> {
  const batchSize = 100;
  let processed = 0;
  let errors: MigrationError[] = [];

  for await (const batch of oldSystem.iterateBatches(batchSize)) {
    try {
      const transformed = batch.map(transform);
      await exaClient.batchCreate(transformed);
      processed += batch.length;
    } catch (error) {
      errors.push({ batch, error });
    }

    // Progress update
    console.log(`Migrated ${processed} records`);
  }

  return { processed, errors };
}

Phase 4: Traffic Shift (Week 7-8)

// Feature flag controlled traffic split
function getServiceAdapter(): ServiceAdapter {
  const exaPercentage = getFeatureFlag('exa_migration_percentage');

  if (Math.random() * 100 < exaPercentage) {
    return new ExaAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan

# Immediate rollback
kubectl set env deployment/app EXA_ENABLED=false
kubectl rollout restart deployment/app

# Data rollback (if needed)
./scripts/restore-from-backup.sh --date YYYY-MM-DD

# Verify rollback
curl https://app.yourcompany.com/health | jq '.services.exa'

Post-Migration Validation

async function validateExaMigration(): Promise<ValidationReport> {
  const checks = [
    { name: 'Data count match', fn: checkDataCounts },
    { name: 'API functionality', fn: checkApiFunctionality },
    { name: 'Performance baseline', fn: checkPerformance },
    { name: 'Error rates', fn: checkErrorRates },
  ];

  const results = await Promise.all(
    checks.map(async c => ({ name: c.name, result: await c.fn() }))
  );

  return { checks: results, passed: results.every(r => r.result.success) };
}

Instructions

Step 1: Assess Current State

Document existing implementation and data inventory.

Step 2: Build Adapter Layer

Create abstraction layer for gradual migration.

Step 3: Migrate Data

Run batch data migration with error handling.

Step 4: Shift Traffic

Gradually route traffic to new Exa integration.

Output

  • Migration assessment complete
  • Adapter layer implemented
  • Data migrated successfully
  • Traffic fully shifted to Exa

Error Handling

IssueCauseSolution
Data mismatchTransform errorsValidate transform logic
Performance dropNo cachingAdd caching layer
Rollback triggeredErrors spikedReduce traffic percentage
Validation failedMissing dataCheck batch processing

Examples

Quick Migration Status

const status = await validateExaMigration();
console.log(`Migration ${status.passed ? 'PASSED' : 'FAILED'}`);
status.checks.forEach(c => console.log(`  ${c.name}: ${c.result.success}`));

Resources

  • Strangler Fig Pattern
  • Exa Migration Guide

Flagship+ Skills

For advanced troubleshooting, see exa-advanced-troubleshooting.