Laravel Cache Memory Laravel Package

Product Decisions This Supports

• Feature bets that need safe concurrency on a single host. The new atomic add() and Cache::lock() support let you ship single-flight work, job deduplication, per-host rate limiting, and read-modify-write protection without falling back to get() + put() races. For PMs, this turns a “performance cache” into a primitive you can use for correctness-sensitive workflows inside one machine/container.
• Cost/latency roadmap. If Redis is a hotspot or cost line for hot, small, read-heavy data (feature flags, permissions, config, tenant metadata), this package offers a local shared-memory tier. PM can frame it as reducing network hops and Redis QPS, with a fallback to Redis for cross-host coordination.
• Operational readiness and capacity planning. stats() and memory:stats expose segment key, usable capacity, bytes used/free, item and expired counts. PM can require dashboards, alerts on capacity headroom, and incident runbooks before rollout.
• Build vs. buy. Do not build a shared-memory cache store and locking layer in-house; adopt the package for the Laravel integration. The 2.1.0 release adds proven atomic semantics and observability, lowering the “build” argument.
• Use cases to prioritize: per-host cache for hot reference data; duplicate-job suppression in queue workers on the same host; short-lived locks around local resource access; cache-stampede protection. Use cases to avoid: cross-service or multi-node mutual exclusion, durable locks, and locks that must survive flush() or memory overflow.

When to Consider This Package

• Consider it when your Laravel app runs multiple PHP-FPM/queue/CLI processes on the same host or container and needs a fast, shared cache with atomic add() and lock support, and the data is small, hot, and reconstructible.
• Consider it when Redis is a latency or cost bottleneck for local reads, or when you want to reduce Redis QPS for per-host coordination.
• Consider it when you need observable cache capacity (memory:stats) and can size the shared-memory segment deliberately.
• Look elsewhere when you need distributed locks across hosts, lock durability, or strict mutual exclusion across services—use Redis, database, or a dedicated coordination service.
• Look elsewhere if flush(), requestDeletion(), or overflow-driven eviction of held locks is unacceptable for your workflow. In this package locks share the cache key space and can be discarded with data.
• Look elsewhere if you need lock refresh(), persistence across restarts, or unbounded/ad-hoc cache growth. Capacity is fixed and overflow empties the store with a warning.
• Adopt with caution if your team lacks operational ownership for shared-memory sizing and warning monitoring; a masked overflow warning could otherwise hide lost writes.

How to Pitch It (Stakeholders)

For executives: This is a low-risk, non-breaking upgrade to a Laravel cache package that makes local shared-memory caching safe for concurrency and observable in production. It can reduce Redis load and latency for hot per-host data, and it adds atomic primitives for duplicate-work suppression and local locking. It is not a replacement for distributed locks; keep Redis for cross-host coordination. The business case is cost/latency reduction and fewer race-condition bugs, with contained blast radius because data is reconstructible and scoped to a host.

For engineering: 2.1.0 closes the main correctness gap: Cache::add() with TTL is atomic across processes, and MemoryStore now implements LockProvider with owner-checked release, plus stats() and memory:stats. The release is non-breaking. Use it for per-host single-flight, queue deduplication, and rate limiting. Do not use it for cross-node locks, durable locks, or locks that must survive flush()/overflow. Plan segment sizing, monitor the Artisan stats command, and treat overflow warnings as incidents. If a lock is correctness-critical across services, keep Redis/DB locks.