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.
Anthony Akpan
Developer with 8 years of experience building softwares fro startups
MFox
Full-stack professional senior engineer (15+years). Extensive experience in software development, qa, and IP networking.
zipking
I am a technologist and product builder dedicated to creating high-impact solutions at the intersection of AI and specialized markets. Currently, I am focused on PropScan (EstateGuard), an AI-driven SaaS platform tailored for the Japanese real estate industry, and exploring the potential of Archify.
As an INFJ-T, I approach development with a "systems-thinking" mindset—balancing technical precision with a deep understanding of user needs. I particularly enjoy the challenge of architecting Vertical AI SaaS and optimizing Small Language Models (SLMs) to solve specific, real-world business problems. Whether I'm in a CTO-level leadership role or hands-on with the code, I thrive on building tools that turn complex data into actionable value.
Milan Surelia
Milan Surelia is a Mobile App Developer with 5+ years of experience crafting scalable, cross-platform apps at 7Span and Meticha. At 7Span, he engineers feature-rich Flutter apps with smooth performance and modern UI. As the Co-Founder of Meticha, he builds open-source tools and developer-focused products that solve real-world problems.
Expertise:
💡 Developing cross-platform apps using Flutter, Dart, and Jetpack Compose for Android, iOS, and Web.
🖋️ Sharing insights through technical writing, blogging, and open-source contributions.
🤝 Collaborating closely with designers, PMs, and developers to build seamless mobile experiences.
Notable Achievements:
🎯 Revamped the Vepaar app into Vepaar Store & CRM with a 2x performance boost and smoother UX.
🚀 Launched Compose101 — a Jetpack Compose starter kit to speed up Android development.
🌟 Open source contributions on Github & StackOverflow for Flutter & Dart
🎖️ Worked on improving app performance and user experience with smart solutions.
Milan is always happy to connect, work on new ideas, and explore the latest in technology.
Krishna Sai Kuncha
Experienced Professional Full stack Developer with 8+ years of experience across react, python, js, ts, golang and react-native. Developed inhouse websearch tooling for AI before websearch was solved : )
Bastien Labelle
Full stack dev w/ 20+ years of experience
Luca Liberati
I work on monoliths and microservices, backends and frontends, manage K8s clusters and love to design apps architecture
legrab
I'll fill this later
Jaime Orts-Caroff
I'm a Senior Android developer, open to work in various fields
Tejas Chokhawala
Full-stack engineer with 5 years experience building production web apps using React, Next.js and TypeScript.
Focused on performance, clean architecture and shipping fast.
Experienced with Supabase/Postgres backends, Stripe billing, and building AI-assisted developer tools.
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