25 lines
923 B
Markdown
25 lines
923 B
Markdown
|
## Issue #14: Implement Caching Strategy
|
||
|
|
|
||
|
|
### Description
|
||
|
|
|
||
|
|
Implement a caching strategy to improve application performance and reduce database load.
|
||
|
|
|
||
|
|
### Acceptance Criteria
|
||
|
|
|
||
|
|
- [ ] Choose and configure caching solution
|
||
|
|
- [ ] Implement cache for frequently accessed data
|
||
|
|
- [ ] Add cache invalidation strategy
|
||
|
|
- [ ] Monitor cache performance
|
||
|
|
- [ ] Document caching implementation
|
||
|
|
|
||
|
|
### Tasks
|
||
|
|
|
||
|
|
- [ ] Install and configure Redis or Memcached
|
||
|
|
- [ ] Implement caching middleware
|
||
|
|
- [ ] Cache API responses for static data
|
||
|
|
- [ ] Add cache invalidation for updated data
|
||
|
|
- [ ] Set up monitoring for cache performance
|
||
|
|
|
||
|
|
### Notes
|
||
|
|
|
||
|
|
This issue addresses the need to improve application performance through caching. The implementation will use a caching solution like Redis to store frequently accessed data, reducing database load and improving response times. A cache invalidation strategy will be implemented to ensure data consistency.
|