• Optimize database queries by avoiding the N+1 problem, using eager loading, and applying advanced query techniques like pagination, joins, and selects.
• Use Laravel’s caching system to store and retrieve data efficiently, both for database queries and general application performance.
• Implement caching strategies using different drivers (Redis, File, Database) and best practices for cache invalidation and expiration.
• Optimize and scale Laravel applications using advanced database and caching techniques.
• Understand monitoring and debugging tools like Laravel Telescope to track query and cache performance.

Day 1: Optimizing Database Queries in Laravel

Session 1: Introduction to Database Optimization

• Why database optimization is important for performance.
• Common performance issues in Laravel apps.
• Overview of how Laravel interacts with databases using Eloquent ORM.

Session 2 : Understanding the N+1 Query Problem

• What is the N+1 query problem and why does it occurs?
• Example of the N+1 issue in Eloquent queries (e.g., fetching related models inside a loop).
• Solution: Using Eager Loading to optimize the query.
• with() method for eager loading relationships.

Session 3 : Lazy Loading and When to Use It

• What is lazy loading and how it differs from eager loading.
• Pros and cons of lazy loading and eager loading.
• When and why to use lazy loading.
• Best practices for avoiding unnecessary lazy loading.

Session 4 : Optimizing Queries with Selects and Constraints

• Using select() to only retrieve the necessary columns from a table.
• Leveraging where, orWhere, join clauses, and groupBy to optimize queries.
• Reducing data payload with pagination, chunking, and limit queries.

Session 5 : Understanding Query Optimization with withCount() and loadCount()

• Using withCount() to efficiently count related models (e.g., counting the number of comments on a post).
• The importance of avoiding multiple queries when dealing with counts.

Session 6 : Database Indexing

• How database indexes work and why they are important.
• When and how to add indexes to optimize queries.
• Best practices for indexing frequently queried columns (e.g., foreign keys, search columns).

Session 7 : Advanced Query Techniques

• Database optimization techniques like subqueries, common table expressions (CTEs), and raw queries for complex operations.
• Using Database Query Log to debug and optimize slow queries.

Day 2: Laravel Caching Techniques and Best Practices

Session 8 : Introduction to Caching in Laravel

• What is caching and why is it crucial for performance?
• Overview of the caching systems in Laravel (e.g., file caching, database caching, redis caching).
• Laravel’s caching configuration and setup.

Session 9 : Laravel Cache Drivers

• Overview of different cache drivers available in Laravel:
  • File: Basic, disk-based caching.
  • Database: Store cache data in a database table.
  • Redis: In-memory caching with Redis.
  • Memcached: Distributed memory caching.
• How to configure and choose the right cache driver for your app.

Session 10 : Caching Database Query Results

• Caching Eloquent query results to avoid repeated database queries.
• Using Cache::remember() and Cache::rememberForever() to cache query results.
• Setting cache expiry times and cache tagging.

Session 11 : Cache Invalidation and Expiry

• How and when to invalidate cache (using tags and cache keys).
• Expiry times and strategies to ensure cache is updated with fresh data.
• Understanding cache busting and when to manually clear cache.

Session 12 : Caching with Laravel's Cache::store() and Cache::tags() 

• Using the store() method to store cache data in a specific cache store (Redis, Database, etc.).
• Working with cache tags to group related cache entries together (e.g., caching different models under different tags).
• Understanding the advantages of cache tagging and cache retrieval efficiency.

Session 13 : Optimizing Caching Strategies for Better Performance

• Best practices for cache warming (preloading cache data for faster response times).
• Use lazy loading with caching to optimize queries only when necessary.
• Understanding cache partitioning and distributing cache across multiple nodes for scalability.

Session 14 : Advanced Caching Techniques

• Job queue caching: Cache results of long-running processes and background jobs to avoid recalculating expensive operations.
• Query result caching: Cache complex query results that involve joins and calculations.
• Cache Batching: Using Cache::many() to store multiple items in one call for better performance.

Session 15 : Performance Monitoring and Debugging

• How to use Laravel Telescope and Laravel Debugbar for monitoring database queries and cache performance.
• Using Laravel’s built-in logging for query performance and cache hits/misses.