exa-migration-deep-dive
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".
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name: exa-migration-deep-dive description: | 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". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(node:), Bash(kubectl:*) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
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
| Type | Complexity | Duration | Risk |
|---|---|---|---|
| Fresh install | Low | Days | Low |
| From competitor | Medium | Weeks | Medium |
| Major version | Medium | Weeks | Medium |
| Full replatform | High | Months | High |
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
| Issue | Cause | Solution |
|---|---|---|
| Data mismatch | Transform errors | Validate transform logic |
| Performance drop | No caching | Add caching layer |
| Rollback triggered | Errors spiked | Reduce traffic percentage |
| Validation failed | Missing data | Check 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
Flagship+ Skills
For advanced troubleshooting, see exa-advanced-troubleshooting.
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