Laminas Cache Storage Adapter Ext Mongodb Laravel Package

Product Decisions This Supports

• MongoDB-backed caching for Laravel/PHP applications: Enables high-performance, scalable caching for read-heavy or high-throughput systems where Redis or Memcached may not be feasible.
• Decoupling from traditional caching layers: Justifies a "build vs. buy" decision for teams already using MongoDB (e.g., for primary data storage) to avoid introducing additional infrastructure.
• Roadmap for microservices or multi-tenant architectures: Supports caching strategies like sharded caching or tenant-isolated cache collections by leveraging MongoDB’s native features (e.g., objectId metadata).
• Use cases:
  • Session storage (alternative to file/database sessions).
  • API response caching (e.g., GraphQL queries, REST endpoints).
  • Full-page caching (e.g., Laravel’s cache:page directive).
  • Queue job results (e.g., caching failed job payloads for retries).
  • Localization/data grids (e.g., caching translated content per region).

When to Consider This Package

• Adopt if:

  • Your stack already uses MongoDB (e.g., mongodb/mongodb PHP extension) and you need a caching layer without adding Redis/Memcached.
  • You require fine-grained cache invalidation (e.g., TTL per document, collection-based purging).
  • Your team prioritizes consistency (e.g., caching data that’s frequently updated in MongoDB).
  • You’re using Laminas Cache v3/v4 or Laravel’s Illuminate/Cache (via adapter compatibility).
  • You need metadata tracking (e.g., objectId for cache items to correlate with MongoDB documents).

• Look elsewhere if:

  • Performance is critical: MongoDB’s latency (~1–10ms) may lag behind Redis (~100µs–1ms) for high-throughput use cases.
  • Simplicity is key: Redis/Memcached offer easier setup and broader ecosystem support.
  • You lack MongoDB expertise: Debugging cache issues in MongoDB requires familiarity with its query patterns and indexing.
  • Your cache is write-heavy: MongoDB’s WiredTiger storage engine isn’t optimized for frequent small writes (unlike Redis).
  • You need multi-datacenter replication: MongoDB’s caching layer doesn’t replicate across clusters like Redis Sentinel.

How to Pitch It (Stakeholders)

For Executives: "This package lets us leverage our existing MongoDB infrastructure for caching, reducing operational overhead by eliminating Redis/Memcached. It’s ideal for [use case, e.g., ‘scaling our API response times’ or ‘consolidating our data layer’], with minimal dev effort. Since it’s part of the Laminas ecosystem, it’s battle-tested and aligns with our PHP stack. The trade-off is slightly higher latency (~2–5x Redis), but the cost savings and simplicity justify it for [specific workload]."

For Engineering: "This adapter bridges Laminas Cache (or Laravel’s cache) with MongoDB’s ext-mongodb driver, offering:

• Native PHP integration (no JavaScript/Node overhead).
• TTL-based expiration and collection-level invalidation (e.g., cache()->forgetByTag('user:123')).
• Compatibility with Laravel’s Cache facade via Laminas\Cache\Storage\Adapter\MongoDb wrapper.
• Metadata tracking (e.g., objectId for cache items to link to source documents). Pros: No new infrastructure. Cons: Slower than Redis (~5–10ms vs. ~1ms). Best for read-heavy or data-consistency-critical workloads. Let’s prototype it for [specific feature] and compare perf with Redis."

For Developers: "To use this:

1. Install: composer require laminas/laminas-cache-storage-adapter-ext-mongodb.
2. Configure a MongoDB connection (e.g., mongodb://user:pass@host:port/db).
3. Set up a cache adapter:

   use Laminas\Cache\Storage\Adapter\ExtMongoDb;
   
   $adapter = new ExtMongoDb([
       'resourceManager' => new \MongoDB\Driver\Manager('mongodb://...'),
       'collection' => 'cache_items',
       'ttl' => 7200, // 2 hours
   ]);
   

Works with Laravel via Cache::extend('mongodb', fn() => $adapter). Key gotchas: Ensure your MongoDB collection has a TTL index ({ "expiresAt": 1 }), and monitor cache hit ratios—this isn’t a drop-in Redis replacement."