Laravel performance work, measured before and after.
Slow endpoints, N+1 queries, queue backlogs and memory-hungry jobs — profiled with real data, fixed in priority order, and reported with the numbers from before and after.
Signs this is the right engagement
- Pages that were fast at launch now take seconds under real data volume.
- The queue backs up and jobs silently fail.
- Your hosting bill keeps rising to hide a database problem.
What you get
Baseline measurement — Slowest endpoints and queries captured from real traffic patterns, so work targets what users actually wait on.
Query and index fixes — N+1 queries eliminated, eager loading corrected, and missing indexes added with the query plans to justify them.
Caching strategy — Cache layers applied where invalidation is understood — config, route, query and response caching, with expiry rules written down.
Queue and job tuning — Long requests moved to background jobs, worker counts and retries set sensibly, and failed-job handling made visible.
Before-and-after report — The same measurements re-run at the end, so the improvement is a number rather than a claim.
How the engagement runs
- Read-only access: You share the repository and a staging environment. No production changes are made until scope is agreed in writing.
- Written scope and fixed price: You get the deliverable list, the price and the delivery date before you pay anything. If it is not on the list, it is not in the sprint.
- Build in the open: Work lands in small pull requests against your repository with commit messages you can read. You own the code from the first commit.
- Handover: Written summary, migration and deployment notes, and a prioritised list of anything found but deliberately left out of scope.
Price and timeline
Laravel Performance Optimization: from $1,000. Typical delivery 1–2 weeks.
Scope, price and delivery date are agreed in writing before any payment. Work is delivered as reviewable pull requests in your own repository, and you own the code from the first commit.
Frequently asked questions
- How do you know what to optimise?
- Profiling first. Work starts from measured slow endpoints and query logs, not from a generic checklist, because the expensive query is rarely the one people suspect.
- Do you guarantee a specific speed-up?
- No honest engineer can promise a number before profiling. What is guaranteed is a measured baseline, a prioritised fix list and the same measurements re-run afterwards.
- Can you work against production data?
- An anonymised database copy is usually enough, and safer. Read-only production metrics access helps when the problem only appears under real traffic.
- Does this include server and hosting changes?
- Configuration tuning for PHP-FPM, OPcache, queue workers and the scheduler is included. A full infrastructure migration is scoped separately.
Related engagements
Reporting screens that timed out under real data volume — Report generation runs on the queue with the slow query paths indexed and profiled, and the profiling method is documented so the team can repeat it.
Performance and queues: free tools, guides and proof
Every asset below feeds the same performance and queues cluster: run the free tool, read the guide, then see the proof page for a real engagement.
Cron expression generator — Write and read the schedule expressions behind your queued work.
Artisan command cheatsheet — The queue, cache and schedule commands used during recovery.
Laravel failed job decoder — Read the failed_jobs payload and exception behind a stuck queue.
Other Laravel services
Laravel application takeover — Inherited an undocumented Laravel application, or the previous Laravel developer disappeared mid-project? One focused engagement to stabilize the deployment, take ownership of the codebase and fix the specific failure — with a written diagnosis before any code changes.
Laravel upgrades — Move off an unsupported Laravel or PHP version without a big-bang rewrite: a compatibility report first, then the upgrade itself in small pull requests you can review and roll back.