Laravel Cache Laravel Package

Product Decisions This Supports

• Build vs. buy on caching plumbing: EloquentCacheTrait packages up the repetitive "cache the query, invalidate on write" logic that otherwise gets rewritten in every model. Adopting it converts a recurring engineering chore into a dependency, freeing roadmap capacity for differentiating features rather than infrastructure duplication.
• Performance/scale roadmap items: The package directly serves latency and database-load objectives (fewer repeated reads, lower query volume per request). It gives you a named lever to attach to "improve p95 response time" or "reduce DB spend" OKRs without committing to a larger caching-layer project (Redis cluster redesign, read replicas, CDN strategy).
• Feature scoping — is caching in scope? If caching is a supporting capability and not a product differentiator, this is a candidate for "buy/adopt" rather than "build." If cache semantics are core to your value proposition (e.g., real-time inventory, pricing engines), keep it in-house.
• Incremental adoption path: Being a trait, it can be applied model-by-model. That supports a phased rollout decision — pilot on one low-risk, read-heavy model, measure hit rate and staleness complaints, then expand — rather than a big-bang platform decision.
• The 1.0.0 signal itself: The first stable release, with abstract methods removed from the trait, changes the integration calculus. Implementers previously had to satisfy abstract method contracts (custom cache-key/TTL logic); that requirement is gone, so the cost-to-first-value drops. This makes "adopt now" materially cheaper than it was pre-1.0 and is a legitimate reason to re-open a previously deferred decision.
• Risk register input: The abstract-method removal is a public-surface change landing in a 1.0.0. That's the release where the API is declared stable — so this is the moment to lock the version constraint and decide whether you're willing to own upgrades.

When to Consider This Package

Adopt when:

• You have read-heavy Eloquent models with repeated identical queries per request or per user session, and the data tolerates short-lived staleness.
• Your team is small or mid-sized and caching boilerplate is a consistent source of copy-paste drift and inconsistent invalidation bugs.
• You already run a supported cache store (Redis/Memcached) and want model-level caching without building an abstraction layer.
• You want a low-commitment pilot: a trait is removable, so the exit cost is low if hit rates or correctness disappoint.
• You're standardizing conventions across teams and want one blessed caching approach rather than three homegrown ones.

Look elsewhere when:

• Correctness is non-negotiable and staleness is unacceptable (ledger balances, auth/permission checks, inventory counts). Trait-based model caching invites invalidation gaps; prefer explicit, query-level caching or a purpose-built layer.
• You need tag-based or dependency-graph invalidation across related models — a trait scoped to one model won't express that cleanly.
• You're on a cache-store migration path or multi-tenant cache isolation requirements that need central control.
• The package's maintenance signal is weak — no recent activity beyond this release, no issue triage, no CI. A 1.0.0 is a stability claim, not proof of stewardship; verify commit cadence and maintainer responsiveness before depending on it.
• Migration burden outweighs benefit: audit any code that implemented the now-removed abstract methods. Removing abstract methods is generally low-risk for consumers, but if the trait previously invoked those methods internally, behavior could change silently. Do not treat 1.0.0 as a drop-in without a regression pass on cached models.

How to Pitch It (Stakeholders)

For executives: This is a small, reversible dependency that removes duplicated caching code from our Laravel models and lets us pursue database-load and response-time goals without a dedicated platform project. It reached its first stable release (1.0.0), and that release specifically reduced integration effort by dropping mandatory abstract methods — the cost to try it is now lower than when we last looked. Recommendation: approve a bounded pilot on one read-heavy model with defined success metrics (cache hit rate, p95 latency, zero staleness defects), then decide on broader rollout.

For engineering: Adopt EloquentCacheTrait at a pinned 1.0.0 constraint for eligible read-heavy models. The removal of abstract methods means no boilerplate contracts to satisfy — integration is a use statement plus configuration. Two caveats to own: (1) confirm the trait no longer calls those methods internally before upgrading anything already in flight, and run a regression check on cached models; (2) 1.0.0 is the stability commitment point, so we are now opting into semver-respecting upgrades. Start with one model behind a feature flag, instrument hit/miss and invalidation, and document the invalidation contract so future contributors don't introduce stale-read defects.