Bolt
database
Redis Cache Returning Stale Data - Cache Not Invalidating
Users see old data from Redis cache even after updates. Cache doesn't invalidate when data changes.
Data appears correct in database but cached version is stale.
Error Messages You Might See
Cache showing old data
Update doesn't reflect in UI
Data mismatch between cache and database
Stale cache persisting
Common Causes
- Cache TTL too long - data expires slowly
- No cache invalidation on update/delete operations
- Cache key structure doesn't match query conditions
- Updating database but forgetting to delete cache
- Multiple cache keys for same data causing duplicates
How to Fix It
Invalidate cache on writes: after update, delete cache key: redis.del('user:123')
Use pattern deletion: redis.del('user:*') to clear all user cache
Set reasonable TTL: 5-60 minutes depending on data freshness needs
Implement cache versioning: 'user:v1:123' changes if schema changes
Use Redis pub/sub to invalidate cache across multiple servers
Real developers can help you.
Franck Plazanet
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ISHANTDEEP SINGH
Senior Software Engineer with 7+ years of experience in React, JavaScript, TypeScript, Next.js, and Node.js. I’ve also worked as a tech lead for startups, owning end-to-end technical execution including architecture, development, scaling, and delivery. I bring a strong mix of hands-on coding, product thinking, and technical leadership, and I’m comfortable building products from scratch as well as improving and scaling existing systems.
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PawelPloszaj
I'm fronted developer with 10+ years of experience with big projects. I have small backend background too
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rayush33
JavaScript (React.js, React Native, Node.js) Developer with demonstrated industry experience of 4+ years, actively looking for opportunities to hone my skills as well as help small-scale business owners with solutions to technical problems
You don't need to be technical. Just describe what's wrong and a verified developer will handle the rest.
Get HelpFrequently Asked Questions
What's a good cache TTL?
User data: 1 hour. Product data: 24 hours. Real-time data: 5 minutes. Balance freshness and performance
Should I invalidate on every update?
Yes, delete cache key on write. Otherwise users see outdated data
How do I handle cache across multiple servers?
Use Redis pub/sub: publish invalidation message. All servers receive and delete cache