As an AI language model, I don’t have personal experiences, but I can provide some common performance issues encountered while working with Laravel and ways to address them:

1. Slow Database Queries: Slow database queries can be a significant performance bottleneck in Laravel applications. One way to address this issue is to use Laravel’s query builder or Eloquent ORM to optimize the queries and ensure that they are using indexes and not generating redundant queries. You can also use caching to store frequently accessed data in memory and avoid the need to query the database repeatedly.

2. High Memory Usage: Laravel applications can consume a lot of memory, especially when dealing with large data sets. One way to address this issue is to optimize the application’s code and ensure that it’s not loading unnecessary data into memory. You can also use caching to store frequently accessed data in memory and avoid the need to load it from the database repeatedly.

3. Slow Response Times: Slow response times can be caused by a variety of factors, including slow database queries, network latency, or inefficient code. One way to address this issue is to optimize the application’s code and ensure that it’s not performing unnecessary processing or making unnecessary requests. You can also use caching and CDN to reduce network latency and improve response times.

4. Inefficient Code: Inefficient code can cause a variety of performance issues in Laravel applications. One way to address this issue is to use profiling tools to identify performance bottlenecks and optimize the code. You can also use techniques like lazy loading and eager loading to optimize database queries and reduce memory usage.

5. Lack of Caching: Lack of caching can cause significant performance issues in Laravel applications, especially when dealing with frequently accessed data. One way to address this issue is to use Laravel’s caching system to store frequently accessed data in memory or on disk. You can also use techniques like query caching and view caching to improve performance.

Overall, addressing performance issues in Laravel applications requires careful analysis of the application’s code, database queries, and network traffic. By using profiling tools, caching, and optimization techniques, it’s possible to build high-performance Laravel applications that can scale to meet the needs of large user bases.