magento-cache-analyst
Scannednpx machina-cli add skill maxnorm/magento2-agent-skills/magento-cache-analyst --openclawMagento 2 Cache Analyst
Expert specialist in designing and implementing comprehensive caching strategies that dramatically improve application performance while ensuring data consistency and cache coherence across enterprise environments.
When to Use
- Optimizing cache performance
- Configuring full-page cache (FPC)
- Implementing Redis or Memcached
- Designing cache invalidation strategies
- Troubleshooting cache issues
- Planning cache architecture
Magento Cache Architecture
- Cache Types: Master all Magento cache types and their optimal usage patterns
- Full Page Cache: Expert in FPC configuration, ESI holes, and cache warming
- Application Cache: Optimize block cache, configuration cache, and layout cache
- Distributed Caching: Implement Redis, Memcached, and multi-tier caching
- Cache Invalidation: Design efficient cache invalidation and purging strategies
Cache Types
Full Page Cache (FPC)
- Varnish Configuration: Expert Varnish configuration and VCL optimization
- Built-in FPC: Optimize Magento's built-in full-page cache
- ESI Implementation: Implement Edge Side Includes for dynamic content
- Cache Warming: Automated cache warming and preloading strategies
- Cache Tags: Proper cache tag implementation for invalidation
Application Cache
- Block Cache: Cache rendered blocks for faster page generation
- Configuration Cache: Cache system and module configurations
- Layout Cache: Cache layout XML structures
- Collection Cache: Cache frequently accessed collections
- Object Cache: Cache expensive object instantiation
Distributed Caching
- Redis: High-performance in-memory data store
- Memcached: Distributed memory caching system
- Multi-tier Caching: Layer caching for optimal performance
- Cache Synchronization: Maintain cache consistency across servers
- Failover Strategies: Implement cache failover and recovery
Cache Optimization Process
1. Cache Assessment & Analysis
- Performance Baseline: Establish current cache performance metrics
- Cache Audit: Analyze existing cache configuration and effectiveness
- Bottleneck Identification: Identify cache-related performance bottlenecks
- Usage Pattern Analysis: Understand application cache usage patterns
- Capacity Planning: Plan cache capacity and resource requirements
2. Cache Strategy Design
- Layered Caching: Design multi-tier cache architectures
- Cache Policies: Define cache TTL, eviction, and invalidation policies
- Data Segmentation: Segment cache data for optimal performance
- Storage Strategy: Choose appropriate cache storage backends
- Synchronization Planning: Plan cache synchronization across environments
3. Implementation & Configuration
Redis Configuration
// app/etc/env.php
'cache' => [
'frontend' => [
'default' => [
'backend' => 'Cm_Cache_Backend_Redis',
'backend_options' => [
'server' => '127.0.0.1',
'port' => '6379',
'database' => '0',
]
]
]
]
Cache Commands
# Clear all cache
bin/magento cache:clean
bin/magento cache:flush
# Enable/disable cache types
bin/magento cache:enable
bin/magento cache:disable
# Cache status
bin/magento cache:status
4. Testing & Optimization
- Performance Testing: Validate cache performance improvements
- Load Testing: Test cache behavior under high traffic conditions
- Cache Warming: Implement effective cache warming strategies
- Invalidation Testing: Test cache invalidation scenarios
- Monitoring Validation: Verify monitoring and alerting effectiveness
Best Practices
Cache Strategy
- Cache Hit Ratios: Maximize cache effectiveness and hit ratios
- Memory Management: Optimize cache memory usage and allocation
- Network Optimization: Reduce cache-related network overhead
- Storage Optimization: Optimize cache storage and persistence strategies
- Monitoring Integration: Implement comprehensive cache performance monitoring
Cache Invalidation
- Tag-based Invalidation: Use cache tags for efficient invalidation
- Event-based Invalidation: Invalidate cache on relevant events
- Time-based Expiration: Set appropriate TTL values
- Manual Invalidation: Provide manual cache clearing mechanisms
- Selective Invalidation: Invalidate only affected cache entries
Enterprise Caching
- CDN Integration: Optimize CDN caching and edge delivery
- Multi-server Environments: Design caching for clustered deployments
- Cache Synchronization: Maintain cache consistency across servers
- Failover Strategies: Implement cache failover and recovery mechanisms
- Scalability Planning: Design caching for horizontal and vertical scaling
Monitoring
- Cache Hit Rates: Monitor cache hit/miss ratios
- Memory Usage: Monitor cache memory consumption
- Performance Metrics: Track cache-related performance improvements
- Error Monitoring: Monitor cache errors and failures
- Alerting: Set up alerts for cache issues
References
Focus on creating comprehensive caching strategies that dramatically improve performance while maintaining data consistency.
Source
git clone https://github.com/maxnorm/magento2-agent-skills/blob/main/skills/magento-cache-analyst/SKILL.mdView on GitHub Overview
Magento 2 Cache Analyst designs and implements caching strategies to dramatically boost enterprise performance while maintaining data consistency. It covers Full Page Cache (FPC), application cache, and distributed caching with Redis or Memcached, along with smart invalidation and cache warming.
How This Skill Works
It begins with a cache assessment and bottleneck analysis, then designs a layered caching architecture (FPC, application cache, and distributed caching). Next it implements configuration for Redis or Memcached, optimizes Varnish for FPC, enables ESI where needed, and sets up automated cache warming and invalidation testing.
When to Use It
- Optimizing cache performance
- Configuring full page cache
- Implementing Redis or Memcached
- Designing cache invalidation strategies
- Troubleshooting cache issues
Quick Start
- Step 1: Assess cache performance and define baseline metrics
- Step 2: Design layered caching and select Redis/Memcached backends
- Step 3: Implement configuration, run cache:clean/flush, and verify improvements
Best Practices
- Baseline first and track metrics
- Design layered caching across FPC, app, and distributed caches
- Define TTL, eviction, and invalidation policies
- Segment data and choose correct storage backends
- Plan synchronization across environments
Example Use Cases
- Configure FPC with Varnish, ESI, and cache warming to reduce page load times
- Migrate Magento to Redis backend for default frontend cache to lower backend load
- Implement multi tier caching with Redis and Memcached and ensure cache coherence
- Design robust cache invalidation for catalog updates and dynamic blocks
- Automate cache warming after deployments to prime hot URLs