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WordPress is often treated as a traditional CMS, but its REST API makes it possible to use WordPress as the backend for applications, dashboards, mobile clients, automation systems, and external services. The difficult part isn't registering an endpoint. The difficult part is designing the endpoint so that authentication, authorization, validation, error handling, and data access are all handled correctly. A production API needs a contract. It needs to know: Who can access it What data they can access What input is accepted What output is returned What happens when something fails Here's a practical approach. Register a Custom Route A basic WordPress REST API route can be registered with register_rest_route() . add_action ( 'rest_api_init' , function () { register_rest_route ( 'myplugin/v1' , '/posts' , [ 'methods' => WP_REST_Server :: READABLE , 'callback' => 'myplugin_get_posts' , ]); }); This creates an endpoint similar to: /wp-json/myplugin/v1/posts The namespace matters. Using: myplugin/v1 gives the API a version boundary. If the response structure changes later, a new version can be introduced without immediately breaking existing clients. Don't Put Authorization Inside the Callback A common beginner implementation does everything inside the callback: function myplugin_get_posts () { if ( ! current_user_can ( 'manage_options' )) { return new WP_Error ( 'forbidden' , 'Access denied' , [ 'status' => 403 ] ); } // Query data... } This works, but WordPress provides a cleaner place for the permission decision. Use permission_callback . register_rest_route ( 'myplugin/v1' , '/posts' , [ 'methods' => WP_REST_Server :: READABLE , 'callback' => 'myplugin_get_posts' , 'permission_callback' => function () { return current_user_can ( 'manage_options' ); }, ]); Now the endpoint has a clearer separation: Request ↓ Permission check ↓ Callback ↓ Data That separation becomes increasingly valuable as an API grows. Authentication Is Not Authorization These concepts are easy to m

Laptop prices are out of whack. $500 used to get you a tolerable laptop, and $900 got you a really good one. They often had similar CPU, RAM, and storage options because that stuff was comparatively cheap; the difference was often in build quality and screen rather than power. But RAMageddon has thrown everything off. […]

If you ship email validation with CakeDC/Users , you eventually hit a question the plugin quietly hands back to you: what should happen when someone registers, never clicks the validation link, and then tries to log in? The honest answer is that CakeDC/Users doesn't decide for you. Out of the box you get a database column, a couple of behaviors, and a set of events — but the experience is yours to assemble. Get it wrong and you land in one of two bad places: a user silently logged in without ever validating, or a user who typed the right password and is told "username or password is incorrect." Neither is what you want. This post walks through why that happens in v16, and a clean way to wire the flow using the events the plugin already dispatches — no core hacks, no schema surgery. One flag, two meanings Everything starts with a single boolean column on the users table: active . When email validation is on, registration creates the account with active = 0 and only flips it to 1 when the user clicks the link in the validation email. You can trace it in BaseTokenBehavior::_updateActive() : // $user['validated'] is a transient flag set to false during register() $emailValidated = $user [ 'validated' ]; if ( ! $emailValidated && $validateEmail ) { $user [ 'active' ] = false ; // registered → inactive + token emailed $user -> updateToken ( $tokenExpiration ); } else { $user [ 'active' ] = true ; // clicked the link → active $user [ 'activation_date' ] = new DateTime (); } Notice there is no separate validated column in the database — $user['validated'] is a transient property used only during registration. The persisted truth is active , and it is doing two jobs at once: "Has this person confirmed their email?" — set by the validation flow. "Is this account enabled?" — the thing an admin toggles to ban or suspend someone. That conflation is the root of everything below. Hold onto it; we'll come back to it. How the finder decides who exists Login in CakeDC/Users runs thro

I thought I understood pm = dynamic until I sat down and watched it work in real time. It turns out the whole process manager is one tiny loop, and once you see the loop, every number in fpm-status suddenly makes sense. This is what I learned, with real outputs from a real server. The config pm = dynamic pm.max_children = 300 ; hard ceiling on total workers pm.start_servers = 5 ; workers created at boot pm.min_spare_servers = 5 ; never fewer than 5 idle pm.max_spare_servers = 50 ; never more than 50 idle pm.max_requests = 1000 ; recycle each worker after 1000 requests The whole algorithm is one loop FPM's master process runs one check, roughly every second: How many workers are idle? Fewer than min_spare_servers ? Fork one. More than max_spare_servers ? Kill one. Otherwise, do nothing. That is it. Everything below falls out of this one rule. The mystery of the 6th worker I booted FPM with start_servers = 5 and immediately saw 6 workers. Where did the extra one come from? t=0 boot 5 workers, all idle check: 5 idle. fine. t=1 a request comes in 1 busy + 4 idle = 5 total check: 4 idle < 5 min -> FORK ONE t=2 1 busy + 5 idle = 6 total check: fine. t=3 request done 0 busy + 6 idle = 6 total check: 6 > 50 max? no -> do nothing And there it stays: 6. The part everyone misses is t=3. FPM never shrinks back to start_servers . The kill rule only fires above max_spare_servers . Between the two bounds, the pool simply stays wherever demand pushed it. It ratchets up easily and trims lazily. start_servers only matters for the first second of the pool's life. Watching it happen Two seconds after a restart: start since : 2 idle processes : 4 active processes : 1 total processes : 5 The 1 active worker is my own curl. The status request is itself served by a worker, so checking the counter increments the counter. And 4 idle is already below min_spare_servers = 5 , which means the fork is about to happen. Thirty seconds later: start since : 34 accepted conn : 99 idle processes : 5 ac

The symptom In browser-mode maintenance (Playwright, no SSH), plugins marked as "excluded from update checks" were still being updated. After the run, a "plugin updates remaining" WARNING email arrived every time. The excluded plugins were intentionally left behind, but the residual check treated them as unfinished updates and fired a warning — a two-part problem: wrong behavior and a misleading alert. SSH path vs. Playwright path On SSH-capable sites, WP-CLI's --skip-plugins flag carries the ignored_plugins list into the update command. That path already excluded them correctly. The Playwright path was different. browser_update_remaining_plugins() worked by clicking the "select all" checkbox on update-core.php and submitting the form — no filtering at all. # Before: select-all, ignored_plugins never consulted page . check ( ' input[name= " action " ][value= " update-selected-plugins " ] ' ) for cb in page . query_selector_all ( ' input[name= " checked[] " ] ' ): cb . check () This function is the chokepoint for two flows: pure browser-mode updates ( run_browser_update_flow ) and the browser residual pass that runs after SSH updates ( run_browser_residual_update , on by default). So even SSH sites could have excluded plugins updated by the residual pass. Browser-driven bulk updates are also outside the scope of pinpoint rollback, meaning there is no automatic recovery if a wrong update goes through. Fix 1 — _ignored_plugin_slugs() and _plugin_slug_from_checkbox_value() When excluded plugins are configured, the fix replaces the select-all approach with per-checkbox evaluation. def _ignored_plugin_slugs ( site : dict ) -> set [ str ]: raw = site . get ( " ignored_plugins " , "" ) return { s . strip (). lower () for s in raw . split ( " , " ) if s . strip ()} def _plugin_slug_from_checkbox_value ( value : str ) -> str : return value . split ( " / " )[ 0 ]. strip (). lower () if " / " in value else value . strip (). lower () Plugin checkboxes on update-core.php use a va

Single-database multi-tenancy is the cheapest kind: one schema, one connection, an organization_id column on every tenant-owned table. The whole design rests on one promise, and it is a promise about forgetting : no developer on the team will ever have to remember to write WHERE organization_id = ? , because forgetting it once leaks another customer's data. Doctrine has had the tool for this for years. It is a SQLFilter , it is about thirty lines, and almost every article about it stops at the happy path. The interesting part is not the filter. It is the map of the places where it is simply not there, because that map is what you actually have to defend. Everything below is read from Doctrine ORM 3.6.7 and from a suite that runs on every commit. The filter final class OrganizationFilter extends SQLFilter { public const string NAME = 'organization' ; public const string PARAMETER = 'organization_id' ; public function addFilterConstraint ( ClassMetadata $targetEntity , string $targetTableAlias ): string { if ( ! $targetEntity -> getReflectionClass () -> implementsInterface ( OrganizationOwnedInterface :: class )) { return '' ; } return \sprintf ( '%s.organization_id = %s' , $targetTableAlias , $this -> getParameter ( self :: PARAMETER )); } } OrganizationOwnedInterface is a marker with one method, getOrganization() . An entity opts into tenancy by implementing it, and that is the entire public API of the mechanism. No attribute to remember, no base class to extend, no trait whose absence is invisible in a diff. The filter is declared in doctrine.yaml with enabled: false . That is deliberate, and it is the first design decision worth arguing about: a filter that is on by default in the container is on in your fixtures, in your migrations, in your data-repair scripts, and it will bite you at three in the morning. It gets turned on by the layer that knows who is asking. The layer that knows who is asking public static function getSubscribedEvents (): array { // Right aft

JSON has no representation for a file. Strings, numbers, arrays, objects - that is the whole list. So every JSON-RPC API eventually runs into the same question: how do you accept a file upload - a photo, a scan, a PDF - when the protocol itself cannot carry binary data? The usual answer is: you don't. The file goes to a separate, ordinary controller that reads $request->files , and the JSON-RPC layer handles everything else next to it. And now you have exactly the ad hoc endpoint sprawl that JSON-RPC was supposed to remove. In otezvikentiy/json-rpc-api 5.2 there is a different answer. And more interesting than the feature is how it came about: I did not write it - an external contributor did. But first things first. Full disclosure: I am the author of the bundle, and I have maintained it alone for almost three years. That is exactly why a release whose headline feature was written by someone else feels like a different kind of event to me. The problem Straight from issue #8 : two services exchange scanned images plus structured metadata (tenant, station, session) on the same call - something like captures.create(tenantId, stationId, image) . Today image cannot be expressed as a parameter of a JSON-RPC method, so that call has to live outside the bundle as a separate multipart controller. What you want is for the method to simply declare a parameter of type UploadedFile and get the file, like any other parameter. The solution: multipart as a transport adapter The key idea is to leave the core untouched. A multipart/form-data request is normalized into the very same JSON-RPC envelope an ordinary request produces, only with UploadedFile objects already sitting inside params . Everything below the transport - hydration, batching, validation - stays completely unaware of multipart, exactly the way it is unaware that a GET request's payload came from a query string. The wire format: one text part named jsonrpc carries the full JSON-RPC envelope as a string (all scalar par

O contrato do cliente tá numa URL que qualquer um adivinha A tarefa parecia simples: o cliente precisa baixar a nota fiscal dele. Você salvou em storage/app/public/notas/ , rodou php artisan storage:link , mandou o link e foi feliz. https://app.com/storage/notas/nota-1042.pdf . Semanas depois cai a ficha. Aquele arquivo está aberto na internet . Sem login, sem nada. E o nome é sequencial: quem baixou a nota-1042.pdf só precisa de curiosidade e cinco segundos pra tentar a 1041 . E a 1040 . Então você faz a coisa certa: tira do disco público e cria um sistema pra controlar acesso. Tabela download_tokens , model, geração de UUID, coluna expires_at , controller que valida, e um comando no scheduler pra limpar os vencidos. Sessenta linhas depois, funciona. E aí alguém comenta no PR: "por que você não usou uma URL assinada?" O sistema que você não precisava construir // ❌ migration + model + controller + command. tudo isso pra um PDF. Schema :: create ( 'download_tokens' , function ( Blueprint $table ) { $table -> id (); $table -> uuid ( 'token' ) -> unique (); $table -> string ( 'path' ); $table -> foreignId ( 'user_id' ); $table -> timestamp ( 'expires_at' ); $table -> timestamps (); }); public function gerarLink ( NotaFiscal $nota ): string { $token = DownloadToken :: create ([ 'token' => Str :: uuid (), 'path' => $nota -> arquivo_path , 'user_id' => auth () -> id (), 'expires_at' => now () -> addMinutes ( 10 ), ]); return route ( 'download' , $token -> token ); } Não tem nada de errado tecnicamente. O problema é o custo: mais uma tabela crescendo pra sempre, mais um comando no scheduler, mais um caminho pra testar. E você vai manter isso enquanto o projeto existir. O Laravel resolve o mesmo problema com uma assinatura criptográfica na própria URL. Sem estado, sem tabela, sem limpeza. Como uma URL assinada funciona A ideia é bonita de simples: o Laravel monta a URL com os parâmetros que você quer, calcula um hash disso tudo usando a APP_KEY e cola o hash no final. /not

"Deu erro ao salvar, umas duas da tarde" É a única informação que você tem. O cliente não lembra o que clicou, não tirou print e já fechou a aba. Você abre o laravel.log . Quarenta mil linhas no dia. Faz um grep por "erro". Aparecem 1.200 ocorrências, e a maioria é isso: [2026-08-14 14:03:11] production.INFO: entrou [2026-08-14 14:03:11] production.INFO: erro aqui [2026-08-14 14:03:12] production.INFO: passou [2026-08-14 14:03:12] production.ERROR: Erro ao salvar Erro ao salvar o quê ? De qual usuário? Qual pedido? Qual valor? Aquele entrou da linha de cima é do mesmo request ou de outro cliente que estava usando o sistema no mesmo segundo? Você tem log. Você não tem informação. São coisas diferentes. O problema não é a falta de log. É o excesso de log inútil. public function emitir ( Pedido $pedido ) { Log :: info ( 'entrou no emitir' ); try { $nota = $this -> sefaz -> emitir ( $pedido ); Log :: info ( 'emitiu' ); } catch ( Throwable $e ) { // parabéns, você registrou que algo deu errado em algum lugar 🎉 Log :: error ( 'Erro ao emitir nota' ); return back () -> withErrors ( 'Falha na emissão' ); } } Repara no que esse catch jogou no lixo: a mensagem da exceção, o stack trace, o ID do pedido, o CNPJ, o retorno da SEFAZ. Tudo estava ali, na mão, e foi substituído por uma frase genérica. E os Log::info('entrou') espalhados? Aquilo foi debug que virou permanente. Hoje eles só servem pra empurrar as linhas úteis pra fora da tela. Duas perguntas que todo log precisa responder Um log serve pra duas plateias: você, com sono, às 3h da manhã — e uma máquina , filtrando milhões de linhas. As duas querem a mesma coisa: O que aconteceu , numa mensagem que não muda nunca. Com quem aconteceu , em dados separados da mensagem. Essa separação é o pulo do gato. Repare na diferença: // ❌ mensagem única pra cada pedido. impossível agrupar ou contar. Log :: error ( "Falha ao emitir nota do pedido { $pedido -> id } do cliente { $cliente -> nome } " ); // ✅ mensagem estável + contexto est

Ele começou com um if . Hoje tem 80 linhas. Sabe como é: precisava barrar quem não tem assinatura ativa. Um middleware, três linhas, resolvido. Depois entrou o período de teste. Depois o plano legado que tem regra diferente. Depois "aproveita que já buscou a assinatura e desconta um crédito". Depois o e-mail de aviso quando faltam 3 dias pro vencimento. Hoje esse arquivo tem 80 linhas, faz quatro queries, altera dado no banco e dispara e-mail. Ele não é mais um middleware. É um Service que mora na pasta errada e roda em todo request. E o pior: essa regra não existe pro resto do seu sistema. O middleware que virou gerente class VerificarAssinatura { public function handle ( Request $request , Closure $next ): Response { $assinatura = $request -> user () -> assinatura ; if ( ! $assinatura || $assinatura -> venceu ()) { return redirect () -> route ( 'planos' ); } // "aproveita que já tá aqui" 🙃 if ( $assinatura -> creditos < 1 ) { return redirect () -> route ( 'planos' ) -> withErrors ( 'Sem créditos' ); } $assinatura -> decrement ( 'creditos' ); $assinatura -> update ([ 'ultimo_acesso' => now ()]); if ( $assinatura -> vence_em -> diffInDays ( now ()) <= 3 ) { Mail :: to ( $request -> user ()) -> send ( new AssinaturaVencendo ( $assinatura )); } return $next ( $request ); } } Funciona. Passa nos testes de feature. E tem quatro problemas escondidos que só aparecem meses depois. Problema 1: middleware só existe no HTTP Esse é o grande. Middleware é uma camada de request HTTP . Ela não roda em outro lugar nenhum. Então: O comando php artisan relatorio:gerar não desconta crédito. O job na fila não desconta crédito. Sua rota de API que você esqueceu de agrupar não desconta crédito. O tinker passa por cima de tudo. Você não criou uma regra de negócio. Criou uma regra da porta da frente . Qualquer outra entrada no sistema ignora ela. E, sério, isso não é hipótese: um dia alguém vai criar um endpoint novo, esquecer o middleware, e a assinatura vira um detalhe decorativo. Probl

I live on the Taghazout coast in Morocco - a strip of Atlantic between Agadir and Imsouane that's basically one long right-hand point break after another. Two years ago the only way to know if tomorrow was worth it was to check three different global forecast sites, none of which knew the difference between Anchor Point and the beach break 400m south of it. So I built taghazout.io . It now covers 20 named breaks, runs in 10 languages, and costs me nothing per month. Here's how it's actually put together - including the parts I'd do differently. The stack is deliberately boring Hand-rolled PHP. No framework, no build step, no node_modules. About 4,800 files, server-rendered, no hydration. That sounds like a confession, but it was the right call for one reason: my readers are on phones, on cafe Wi-Fi, often on 3G. A server-rendered page that ships HTML and a little CSS beats anything I could have built with a client-side framework in that environment. Time-to-content is the only metric that matters when someone is standing on the beach deciding whether to paddle out. The hosting is a cheap shared plan. The forecast data is free and open. The whole thing runs at EUR 0/month recurring , which was a hard constraint from day one. The interesting part: two ocean models that disagree The forecast blends two sources: Open-Meteo (CC BY 4.0) - the primary, with a marine endpoint that covers our coastal cells. NOAA WaveWatch III via PacIOOS - the second opinion. Here's the thing nobody tells you: they disagree, a lot. On the same hour at the same break I've seen WaveWatch read ~55% higher than Open-Meteo (1.36m vs 0.88m). Offshore models resolve coastal bathymetry badly, and our points are exactly the kind of close-in, shallow-reef setups where that bias shows up. The wrong fix is to pick one and pretend. What I did instead: Run both, cache both. Compute agreement over a 72-hour window - a Pearson correlation on the swell rhythm plus a circular difference on direction (you can'

I created a ZCPE PHP 8.4 Practice Tests course 🚀 Hey PHP developers! 👋 While studying PHP in depth and working through certification-style questions, I decided to organize everything into something that could help other developers too. So I just published my first Udemy course: 🐘 ZCPE: PHP 8.4 Certification Practice Tests The idea is simple: practice, identify your weak areas, understand your mistakes, and improve your PHP knowledge. 📚 What you'll practice The questions cover topics such as: PHP 8.4 OOP Functions, arrays and strings Exceptions and error handling Namespaces Files and streams Security Databases and SQL Web features Each question includes explanations to help you understand why an answer is correct. The course is mainly designed for developers preparing for the Zend Certified PHP Engineer (ZCPE) certification, but it's also useful for anyone who wants to challenge their PHP knowledge or prepare for technical interviews. 💰 Launch price: $9.99 For the launch, I've created a $9.99 coupon valid for the next 5 days : 👉 https://www.udemy.com/course/zcpe-php-certification-practice-tests/?couponCode=B436D1CB9AEE28524E72 Coupon: B436D1CB9AEE28524E72 ❤️ Can't afford it right now? If you're preparing for the ZCPE but you're currently in a difficult financial situation and genuinely can't afford the course, send me a message and I'll give you access for free. This is my first Udemy course, so feedback from other PHP developers is very welcome! I hope it helps you on your PHP certification journey. 🐘 Thanks for reading! If you have any questions, complaints or tips, you can leave them here in the comments. I will be happy to answer! 😊😊 See you! 😊😊 Support Me Youtube - WalterNascimentoBarroso Github - WalterNascimentoBarroso Codepen - WalterNascimentoBarroso

If you've been developing WordPress websites for several years, there's a good chance you've spent a lot of time working with files like: header.php footer.php single.php page.php archive.php functions.php That's certainly where most of my WordPress development experience has been. But WordPress has been changing. With the Block Editor, Site Editor, block themes, patterns, and theme.json , WordPress now offers a very different approach to theme development. So I decided to take a closer look at the question: If you're already comfortable building classic WordPress themes, is it worth moving toward block themes in 2026? This isn't an article written from the perspective of someone who has spent years exclusively building block themes. Most of my own WordPress work has traditionally involved classic themes . Instead, I'm looking at block themes from the perspective of an experienced WordPress developer who is exploring how the platform is evolving—and where the newer approach fits alongside the architecture I've used extensively. Classic Themes vs Block Themes WordPress currently identifies two primary theme types: Classic themes Block themes According to the official WordPress Theme Developer Handbook, classic themes primarily use PHP, JavaScript, and CSS and can make extensive use of WordPress functions, hooks, and filters. Block themes, on the other hand, are built around block markup and HTML-based templates and allow users to edit more areas of the website through the Site Editor. A simplified comparison looks like this: Classic Theme Block Theme PHP templates HTML block templates single.php templates/single.html header.php parts/header.html footer.php parts/footer.html Template hierarchy Block-based templates Custom PHP logic Blocks + APIs + plugins Customizer / theme options Site Editor / Styles theme.json optional theme.json commonly used This doesn't mean classic themes are obsolete. They aren't. WordPress continues to maintain documentation for classic theme

Are you looking for a clean, efficient, and modern way to manage IT support requests? Stop dealing with messy manual reports via chat and start using a professional ticketing system! In this video, I’m showcasing "HelpdeskKu"—a powerful, custom-built IT ticketing system designed for efficiency and ease of use. It’s built using pure PHP Native (making it fast and easy to customize) and styled with a sleek Dark Obsidian theme using Tailwind CSS. This app features three user roles (Admin, IT Support, and User) with an automated workflow, real-time analytics, and secure session management.

For years, the CMS ecosystem has largely followed the same formula. Install a CMS. Choose a theme. Install plugins. Customize some templates. Add an API when you need one. Then, eventually, try to connect everything to AI. But the way we build software has changed. Developers increasingly work alongside AI coding assistants. People are building websites by describing what they want instead of manually implementing every component. AI agents can now interact with external tools and services. APIs are becoming the foundation rather than an optional feature. Yet many traditional CMS architectures were designed for a world where a human administrator was the primary interface. That is the problem Basehim is trying to solve. Basehim is an open-source, modular, API-first PHP CMS built for developers, AI-assisted development, and the emerging world of AI agents. The goal isn't to replace every CMS. The goal is to provide a simpler foundation for people who want to build, customize, automate, and extend websites without being forced into a complicated infrastructure stack. The idea behind Basehim Basehim started with a fairly simple observation: The web is still full of ordinary PHP hosting. Millions of websites run on environments such as cPanel, Plesk, Apache, MySQL, and shared hosting. Yet many modern development tools increasingly assume that you have SSH access, Composer, Node.js, a build pipeline, background workers, containers, or a cloud deployment environment. Those tools are excellent when you need them. But they aren't always necessary for a CMS. Basehim takes a different approach. If your server can run modern PHP and MySQL or MariaDB, Basehim is designed to run there. You can upload the files, open the installer, configure the database, create the administrator account, and start building. There is no required Composer installation. There is no frontend build process. There is no daemon that has to remain running. There is no requirement for a public/ directory

From COD fraud nightmares to automated intelligence: the story of building a business platform for Bangladesh's e-commerce market. 🎯 The Problem That Started Everything Picture this. A small shop owner is managing their online business. They've got WooCommerce for the website, Excel sheets for stock tracking, Pathao open on one phone, Steadfast on another, and Facebook Page orders coming in through DMs. They have a physical notebook for customer history, and absolutely no way to know if a new customer is a fraudster who'll refuse the delivery. Every morning starts with copy-pasting order details from three different places. Every afternoon is spent manually messaging courier agents. Every evening is reconciling which orders got delivered, which got returned, and how much money actually came in. This isn't a unique story. This is the daily reality of thousands of SME owners, retailers, and e-commerce merchants. I built Vendzoo to end this chaos. Vendzoo is an all-in-one SaaS Business OS: POS, Inventory, Courier, Fraud Detection, Customer Intelligence, Marketing, and Analytics, all in one dashboard. 🌐 vendzoo.com This is the story of how it was built, the real problems we solved, and the decisions that shaped the product. 🏗️ The System at a Glance Vendzoo is built on Laravel 13 with PHP 8.3 , backed by MySQL, with a Tailwind CSS v4 and Vite 8 frontend. Nothing exotic, just a solid, modern stack chosen for reliability and developer ergonomics. What makes it interesting isn't the stack. It's the three layers sitting on top of it. The core layer handles POS, orders, inventory, invoicing, and multi-user access with role-based permissions. The integration layer connects to everything a merchant already uses: WooCommerce, Shopify, Facebook Commerce, Pathao, Steadfast, RedX, Carrybee, Firebase, Telegram, SMS, WhatsApp, and Email. The intelligence layer is where Vendzoo earns its "Business OS" label: a fraud risk engine, customer segmentation, churn prediction, courier perfor

If you're running Magento 2 with MSI (Multi-Source Inventory) enabled — and since Magento 2.4 it's the default — you have a silent performance killer lurking in your database. The inventory_reservation table grows without bound, and every single cart operation hits it. This post walks through why this table becomes a bottleneck, how to measure the impact, and concrete steps to fix it. How Inventory Reservations Work When a customer adds a product to their cart, Magento doesn't immediately decrement stock. Instead, it creates a reservation — a record in inventory_reservation that says "this quantity is tentatively reserved for this order." The actual stock deduction happens later, when the order is placed and the shipment is processed. The flow looks like this: Add to cart → placeReservation writes a negative reservation record Place order → reservation is linked to the order Ship order → inventory_source_item is decremented, reservation should be compensated Compensation reservation → a positive record that cancels out the original negative one In theory, reservations are transient. They exist to bridge the gap between cart and shipment. In practice, they accumulate forever. The Problem: Unbounded Growth Here's what happens in production: Orders that are canceled leave orphaned negative reservations Orders that fail during checkout leave reservations that are never compensated Partial shipments create partial compensation records Quote conversions that error out mid-process leave dangling reservations Re-indexing, re-stocking, and admin edits can create duplicate records After 6–12 months of moderate traffic, the inventory_reservation table routinely hits several million rows . I've seen tables with 10M+ rows on stores doing 200 orders/day. SELECT COUNT ( * ) FROM inventory_reservation ; -- 4,872,341 rows on a store running 8 months SELECT COUNT ( * ) FROM inventory_reservation WHERE created_at < DATE_SUB ( NOW (), INTERVAL 30 DAY ); -- 4,710,882 — 96.7% of rows are

If you’re a student looking for an affordable laptop, I have bad news and I have good news. The bad news is that computer prices are out of whack due to the ongoing RAM and storage crunch, making some a little pricier than they used to be and others wildly more expensive. The good news? […]

Building a Laravel application involves much more than writing PHP code. A production application needs to solve a real business problem, handle users and data reliably, survive deployments, remain secure, and continue to be maintainable as requirements change. Laravel provides an excellent foundation for building modern web applications, but the framework is only one part of the development process. A successful Laravel project typically moves through several stages, from understanding the original business idea to deploying, monitoring, and improving the application in production. Here is what that process looks like. 1. Start With the Business Problem Before thinking about controllers, models, databases, or cloud infrastructure, the first step is understanding what the application actually needs to accomplish. A project might begin with a simple request: "We need a customer portal." That's a starting point, but it isn't a specification. What should customers be able to do? Create and manage accounts? Upload documents? Manage subscriptions? Make payments? View reports? Communicate with employees? Receive notifications? Manage multiple users within an organization? These questions start turning an idea into actual application requirements. One of the easiest ways for a software project to become unnecessarily expensive is to begin development before the problem has been clearly defined. Laravel can make development faster, but building the wrong application faster doesn't solve the underlying problem. 2. Define the MVP Once the requirements become clearer, the next step is determining what belongs in the first release. I generally separate features into two categories: What does the application need in order to provide value? and What can be added later? The first category becomes the Minimum Viable Product, or MVP. For example, a new SaaS application might initially require: User registration Authentication Account management Subscription billing The application's

REST works great while your API describes resources. But as soon as the domain becomes verb-shaped - recalculateInvoice , mergeAccounts , assignTask - you end up bending verbs into nouns and arguing about which HTTP method cancels an order. JSON-RPC 2.0 cuts through all of that: every call is just method + params , one endpoint, a spec that fits on two pages, and batching out of the box. In this article we will build a working JSON-RPC 2.0 API on Symfony: a task tracker with DTO validation, batch requests and generated OpenAPI documentation. There is surprisingly little code to write: methods are declared with attributes, validation is derived from property types, and Swagger is generated by a console command. Everything below lives as a ready-to-run project on GitHub: symfony-jsonrpc-api-demo - clone it and poke it with curl while you read. We will use the otezvikentiy/json-rpc-api bundle (PHP 8.2-8.5, Symfony 6.4/7/8; this article uses PHP 8.4 and Symfony 7.4). Full disclosure: I am the author of the bundle. It has been running in production for three years - internal fintech tooling, an HRM system - nothing glamorous load-wise, but the correctness, logging and audit requirements were real, and they shaped most of what you will see below. Installation composer create-project symfony/skeleton: "7.4.*" tasks-api cd tasks-api composer require otezvikentiy/json-rpc-api If Flex has contrib recipes enabled, the bundle registers itself. If not, it is two lines by hand: // config/bundles.php return [ // ... OV\JsonRPCAPIBundle\OVJsonRPCAPIBundle :: class => [ 'all' => true ], ]; Wire up the route and a minimal config: # config/routes/ov_json_rpc_api.yaml ov_json_rpc_api : resource : ' @OVJsonRPCAPIBundle/config/routes/routes.yaml' # config/packages/ov_json_rpc_api.yaml ov_json_rpc_api : access_control_allow_origin_list : - ' http://localhost:8000' The bundle registers a single route, /api/v{version} - every request goes through it. Note the CORS list format: these are ful