Cache Laravel Package

Product Decisions This Supports

• Feature prioritization: Enables PMs to schedule performance work—caching expensive queries, API responses, session data, and read-heavy dashboard/catalog views—as incremental product improvements rather than a separate platform initiative.
• Roadmap and scalability: Supports progressive scaling from MVP to production by letting the same cache API target file, array, Redis, or Memcached stores. The product can start simple and adopt a more robust backend as traffic and reliability requirements grow.
• Build vs. buy: For Laravel-based products, treat illuminate/cache as a native, zero-procurement capability. Avoid evaluating a third-party caching abstraction unless requirements are outside Laravel’s ecosystem or need specialized edge/global cache topology.
• Use cases to fund: Cache-aside for read-heavy paths, tagged cache invalidation on Redis/Memcached, rate limiting, distributed locks for OAuth callbacks/checkout idempotency/job deduplication, and custom cache stores for niche persistence.
• Delivery quality: Encourages a centralized cache service wrapper for consistent key naming, TTL policy, and test mocking. Cache event logging can support debugging hit/miss behavior and key collisions.
• Risk-aware decisions: PM should account for cache invalidation ownership, TTL semantics, and store limitations—especially that array stores are not production-safe and file stores do not support tags the same way Redis/Memcached do.

When to Consider This Package

• Adopt when: the product is built on Laravel or already uses Illuminate components; the team needs a standard cache abstraction without adding another vendor; roadmap includes latency reduction, rate limiting, or distributed locks; or the architecture needs a path from local/file caching to Redis/Memcached without rewriting application code.
• Strong fit when: engineering wants one API for remember, tags, locks, and custom stores; ops can support Redis/Memcached for production-grade tagging and locking; and the team can establish key/TTL/invalidation conventions as product requirements.
• Look elsewhere when: the application is not Laravel-based or standalone use would introduce unnecessary framework coupling; requirements demand cache tags across every backend; the product needs edge/global cache distribution, managed cache SLAs, or multi-cloud cache portability beyond application-level caching; or the team cannot operate Redis/Memcached and expects file/array caching to meet high-scale production needs.
• Be cautious when: correctness depends on distinguishing null from missing keys, tag behavior varies by store, or engineers may accidentally use ArrayStore in production. These are solvable with standards and code review, but should be explicit adoption criteria.

How to Pitch It (Stakeholders)

For executives: illuminate/cache is a low-cost, native Laravel capability that helps us ship performance and reliability features faster—caching expensive reads, protecting APIs with rate limits, and coordinating background work with locks—without new procurement or a separate caching vendor. It gives us a practical scaling path: start with simple stores in development, then move to Redis or Memcached in production through configuration rather than re-architecture. The main caveats are operational discipline around invalidation and TTLs, plus dependence on Laravel; it is not a replacement for edge/global caching or a managed cache SLA.

For engineering: standardize on the package’s cache contract and wrap calls in an application service for testability, key naming, and TTL policy. Use remember for read-heavy paths, Redis/Memcached for tags and locks, and custom Store implementations only for clear niche needs. Avoid ArrayStore in production and verify tag support before relying on invalidation. Instrument cache events and document null/false and TTL edge cases so product behavior remains predictable. The pitch is: adopt it as the default Laravel caching layer, invest in conventions, and revisit only if requirements move beyond application-level caching.