Efficient Go+MySQL+Next.js Infrastructure: A Guide to Caching and Batch Write Optimization

Post: https://www.sunai.net/t/418

My usual development stack is Go + MySQL + Next.js. Well-designed caching strategies and database write patterns are essential for improving performance and response times. Here are some lessons from my experience:

1. Caching Strategies for Data Reads

   • For small amounts of data that rarely change (such as system configuration), I recommend in-memory caching. This reduces external dependencies and speeds up reads.
   • For application data that is read frequently and changes occasionally, I recommend Redis as a cache layer. Redis is well suited to mutable, frequently accessed data and can effectively reduce database load.

2. Cache Management for Fixed Configuration

   • Preload fixed configuration into memory when the service starts to maximize read performance.
   • Automatically refresh the in-memory cache when configuration changes to maintain data consistency.
   • Read all configuration values directly from memory to avoid frequent access to the database or an external cache.

3. Caching Strategies for Application Data

   • Application data generally does not need to be cached in advance. Instead, load it from the database on first access and store it in the cache.
   • Invalidate relevant cache entries promptly after data changes to prevent stale data.
   • Set up periodic cleanup to keep cached data fresh and accurate.

4. Optimizing Batch Writes Under High Concurrency

   • For workloads that write large volumes of data to the database, such as API services or log streams, I recommend batch writes.
   • For example, writing a batch every 1 second can significantly reduce database write load and improve overall performance and stability.

Summary:

• Preload fixed configuration into memory and automatically refresh it when it changes.
• Cache frequently read application data that changes infrequently in Redis, using on-demand caching and periodic cleanup.
• Use batch writes for database operations, ideally executing a batch every 1 second.

These optimizations can effectively improve the performance and scalability of a Go + MySQL + Next.js stack.