BREAKING: Supabase Experiencing Increased Response Times — Workarounds Inside

Supabase reporting elevated latency across requests. Immediate mitigation steps and alternatives available.

Incident Status

Supabase is currently experiencing increased response times for requests according to their monitoring systems. This affects database queries, API calls, and real-time subscriptions across their platform.

What's Affected

Database query latency: Slower PostgreSQL response times

REST API endpoints: Elevated response times

Real-time features: Potential delays in subscriptions

Authentication: May experience slower auth responses

File storage: Potential slowdowns for storage operations

Not confirmed affected: Status page availability itself

How to Check If You're Impacted

1. Monitor your application logs for increased database query duration 2. Check Supabase dashboard: Visit your project's "Logs" section for query performance metrics 3. Use browser DevTools: Inspect network tab for extended response times from api.supabase.co or your custom domain 4. Check status page: Visit [status.supabase.com](https://status.supabase.com) for official updates 5. Test a simple query: Run a basic SELECT query and time the response

Immediate Workarounds

1. Implement Client-Side Caching

```javascript const cache = new Map();

async function fetchWithCache(key, query) { if (cache.has(key)) return cache.get(key); const result = await supabase.from('table').select().single(); cache.set(key, result); return result; } ```

2. Add Retry Logic with Exponential Backoff

Implement retry mechanisms for failed requests: ```javascript async function retryQuery(fn, retries = 3) { for (let i = 0; i < retries; i++) { try { return await fn(); } catch (err) { if (i === retries - 1) throw err; await new Promise(r => setTimeout(r, Math.pow(2, i) * 1000)); } } } ```

3. Increase Client Timeouts

Increase request timeouts temporarily to accommodate latency: ```javascript const supabase = createClient(url, key, { fetch: (url, options) => fetch(url, { ...options, timeout: 15000 }) }); ```

4. Batch Requests

Reduce request frequency by batching multiple operations:

Combine multiple queries into a single request

Use Promise.all() for parallel operations

Implement request debouncing

5. Use Read Replicas (if available)

If you have Supabase Pro/Business plan, route read queries to replicas to reduce load on primary.

Temporary Alternatives

Firebase Realtime Database or Firestore for temporary data needs

MongoDB Atlas for document storage

AWS RDS or DigitalOcean PostgreSQL if you need immediate scale-out

GraphQL cache layer: Use Apollo or similar to cache queries

Recommended Actions

1. Monitor continuously — Watch the status page every 15 minutes 2. Notify users if critical features are affected 3. Log all incidents — Document duration and impact for your records 4. Review capacity — Consider upgrading if this reflects growth 5. Contact Supabase support if critical operations are blocked

Next Steps

Check [status.supabase.com](https://status.supabase.com) for updates. Most incidents resolve within 30-60 minutes. We'll update this as more information becomes available.

Last Updated: Check Supabase status page for real-time updates