Fractional CTO for Redis
Redis is the go-to in-memory data store for caching, sessions, real-time features, and queues. We help companies implement Redis effectively for dramatic performance improvements....
Expert Redis Leadership
Redis is the go-to in-memory data store for caching, sessions, real-time features, and queues. We help companies implement Redis effectively for dramatic performance improvements.
Caching implementation: 1-2 weeks, Complex patterns: 4-8 weeks
$5,000-$25,000
Why Choose Us
- Dramatic performance improvements (10-100x for cached data)
- Versatile data structures beyond simple caching
- Sub-millisecond response times
- Battle-tested reliability
- Large ecosystem of tools and libraries
Common Redis Challenges We Solve
Cache invalidation strategy design
Choosing between Redis data structures
Memory management and eviction policies
Persistence configuration decisions
High availability with Redis Cluster or Sentinel
Managing connection pools effectively
Avoiding cache stampedes
Monitoring and debugging Redis performance
Redis Best Practices
Design proper key naming conventions
Implement appropriate TTL strategies
Use Redis data structures appropriately (not just strings)
Implement connection pooling
Set up proper memory limits and eviction
Use Lua scripts for atomic operations
Implement proper error handling and fallbacks
Monitor memory and performance continuously
Complementary Technologies
Scaling Considerations
Redis Cluster for horizontal scaling. Consider Redis Enterprise or Upstash for managed scalability. Monitor memory carefully.
Security Considerations
Enable AUTH, use TLS in production, restrict network access, don't expose Redis publicly, monitor for anomalies.
Performance Optimization
Use pipelining for bulk operations, choose appropriate data structures, optimize Lua scripts, configure persistence appropriately.
Success Story
Series A e-commerce with slow product pages
Challenge
Product pages taking 2+ seconds due to complex database queries. Black Friday approaching with expected 10x traffic.
Solution
Fractional CTO implemented Redis caching layer, designed cache invalidation strategy, set up cache warming.
Result
Page load times reduced from 2 seconds to 150ms. Successfully handled Black Friday traffic with no performance degradation.
Timeline: 2 weeks
Recommended Team Structure
Redis knowledge should exist in backend team. Usually doesn't require dedicated specialist.
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