Laravel Job Batching, Chaining & Rate Limiting | Mohamed Said [ ![Mohamed Said](https://cdn.msaied.com/01KT78WE565VEMM3PSNQAAB0MH.png) Mohamed Said Laravel Backend Engineer ](https://msaied.com) [ Home ](https://msaied.com) [ Projects ](https://msaied.com/projects) [ Articles ](https://msaied.com/articles) [ Certificates ](https://msaied.com/certificates) [ Contact ](https://msaied.com#contact-section) [ ](https://github.com/EG-Mohamed) [ Home ](https://msaied.com) [ Projects ](https://msaied.com/projects) [ Articles ](https://msaied.com/articles) [ Certificates ](https://msaied.com/certificates) [ Contact ](https://msaied.com#contact-section) [ home ](https://msaied.com) [ articles ](https://msaied.com/articles) Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues On this page 1. [ Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues ](#job-batching-chaining-and-rate-limited-middleware-in-laravel-queues) 2. [ Batches: Parallel Work With a Shared Lifecycle ](#batches-parallel-work-with-a-shared-lifecycle) 3. [ Chains: Sequential Pipelines With Shared Context ](#chains-sequential-pipelines-with-shared-context) 4. [ Rate-Limited Job Middleware ](#rate-limited-job-middleware) 5. [ Takeaways ](#takeaways) ![Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues](https://cdn.msaied.com/167/07cf94b1aa8fcead662b9cd5af47acb6.png) #laravel #queues #jobs #async Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues ======================================================================= 14 Jun 2026 3 min read ![Mohamed Said](https://cdn.msaied.com/01KT78WE565VEMM3PSNQAAB0MJ.jpg) Mohamed Said Table of contents 1. [ 01 Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues ](#job-batching-chaining-and-rate-limited-middleware-in-laravel-queues) 2. [ 02 Batches: Parallel Work With a Shared Lifecycle ](#batches-parallel-work-with-a-shared-lifecycle) 3. [ 03 Chains: Sequential Pipelines With Shared Context ](#chains-sequential-pipelines-with-shared-context) 4. [ 04 Rate-Limited Job Middleware ](#rate-limited-job-middleware) 5. [ 05 Takeaways ](#takeaways) Job Batching, Chaining, and Rate-Limited Middleware in Laravel Queues --------------------------------------------------------------------- Laravel's queue system is deceptively deep. Most teams dispatch individual jobs and call it done. But production workflows demand composition: run a set of jobs in parallel, then trigger a follow-up only when all succeed, and never hammer a third-party API faster than its rate limit allows. Laravel gives you all three primitives — batches, chains, and job middleware — and combining them correctly is where the real power lives. --- ### Batches: Parallel Work With a Shared Lifecycle A batch dispatches multiple jobs concurrently and exposes callbacks for completion, failure, and progress. ```php use Illuminate\Support\Facades\Bus; $batch = Bus::batch([ new ProcessInvoice($invoice1), new ProcessInvoice($invoice2), new ProcessInvoice($invoice3), ]) ->then(fn (Batch $batch) => SendBatchSummary::dispatch($batch->id)) ->catch(fn (Batch $batch, Throwable $e) => Log::error('Batch failed', [ 'batch' => $batch->id, 'error' => $e->getMessage(), ])) ->finally(fn (Batch $batch) => Cache::forget('invoices:processing')) ->name('Invoice Processing') ->allowFailures() // don't cancel remaining jobs on a single failure ->dispatch(); ``` Store `$batch->id` if you need to poll progress from a UI. `$batch->progress()` returns 0–100 based on processed job count. **Important:** Every job in a batch must use the `Batchable` trait, and you should check `$this->batch()->cancelled()` at the start of `handle()` to respect early cancellation. ```php use Illuminate\Bus\Batchable; use Illuminate\Contracts\Queue\ShouldQueue; class ProcessInvoice implements ShouldQueue { use Batchable, Dispatchable, InteractsWithQueue, Queueable, SerializesModels; public function handle(): void { if ($this->batch()?->cancelled()) { return; } // ... process } } ``` --- ### Chains: Sequential Pipelines With Shared Context Chains execute jobs one after another; if any job fails, the rest are abandoned. ```php Bus::chain([ new ValidateOrder($order), new ChargePayment($order), new FulfillOrder($order), new SendConfirmationEmail($order), ]) ->catch(fn (Throwable $e) => $order->markFailed($e->getMessage())) ->dispatch(); ``` You can mix batches inside chains for hybrid workflows: ```php Bus::chain([ new PrepareExport($report), Bus::batch([ new ExportChunk($report, 0), new ExportChunk($report, 1), new ExportChunk($report, 2), ]), new MergeExportChunks($report), ])->dispatch(); ``` This pattern — prepare, fan-out in parallel, then merge — is a clean map-reduce for queue workers. --- ### Rate-Limited Job Middleware Throttling at the job level is far more reliable than sleeping inside `handle()`. Laravel's `RateLimited` middleware uses the cache to enforce limits across all workers. ```php use Illuminate\Queue\Middleware\RateLimited; class SyncToStripe implements ShouldQueue { public function middleware(): array { return [new RateLimited('stripe-sync')]; } } ``` Define the limiter in a service provider: ```php use Illuminate\Cache\RateLimiting\Limit; use Illuminate\Support\Facades\RateLimiter; RateLimiter::for('stripe-sync', fn () => Limit::perMinute(60)->response(fn () => // job is released back to the queue automatically null ) ); ``` When the limit is hit, the job is released back with a calculated backoff — no wasted worker time, no dropped requests. For per-tenant limits, key the limiter dynamically: ```php public function middleware(): array { return [new RateLimited('stripe-sync:' . $this->tenantId)]; } ``` --- ### Takeaways - Use `Bus::batch()` for parallel fan-out; always add `Batchable` and check for cancellation. - Use `Bus::chain()` for sequential pipelines where order and dependency matter. - Nest a batch inside a chain for map-reduce style workflows. - Throttle third-party API jobs with `RateLimited` middleware — never `sleep()`. - Key rate limiters per tenant or resource to avoid cross-tenant interference. - Monitor batch progress via `$batch->id` and expose it to your UI for long-running operations. Found this useful? [ ](https://twitter.com/intent/tweet?url=https%3A%2F%2Fmsaied.com%2Farticles%2Fjob-batching-chaining-and-rate-limited-middleware-in-laravel-queues&text=Job+Batching%2C+Chaining%2C+and+Rate-Limited+Middleware+in+Laravel+Queues) [ ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fmsaied.com%2Farticles%2Fjob-batching-chaining-and-rate-limited-middleware-in-laravel-queues) Frequently Asked Questions ---------------------------- 3 questions Q01 What happens to a chain if one job in a nested batch fails? By default, a single failure in a batch cancels the batch and prevents subsequent chain steps from running. Use `->allowFailures()` on the batch if you want remaining batch jobs to continue, but note the chain's `catch` callback will still fire if the batch itself is marked as failed. Q02 Does rate-limited middleware work across multiple Horizon workers? Yes. The `RateLimited` middleware uses your configured cache driver as the shared counter, so limits are enforced globally across all worker processes and servers — as long as they share the same cache backend (Redis is recommended). Q03 Can I track batch progress in a Filament or Livewire UI? Yes. Store the batch ID in your database or session after dispatching, then poll `Bus::findBatch($id)` on a Livewire component using a `wire:poll` directive. The `$batch->progress()` method returns an integer 0–100 you can bind directly to a progress bar. Continue reading More Articles --------------- [ View all ](https://msaied.com/articles) [ ![Eloquent Custom Casts: Encapsulating Value Objects Without the Bloat](https://cdn.msaied.com/174/2c75896ee4182bb2f66e2c93bed18796.png) laravel eloquent ddd ### Eloquent Custom Casts: Encapsulating Value Objects Without the Bloat Custom Eloquent casts let you bind rich value objects directly to model attributes. 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