Magento / Adobe Commerce Development Services

Magento / Adobe Commerce Development

We offer professional Magento 2 development services. Let's be honest: when SaaS platforms fail to handle load, customization runs into API limits. At that point, it's time to look at Magento. We design and launch enterprise stores on this platform. We solve high‑complexity challenges: multisite from a single installation, thousands of attributes, and custom business processes. Over 7 years we've delivered 20+ projects — from small shops to large marketplaces with millions of products.

Magento 2 gives you full control over code and architecture. You're not limited by templates or third‑party plugins. This is especially important for projects with unique business requirements, such as complex discount systems or integration with non‑standard APIs.

Magento Open Source vs Adobe Commerce

The choice depends on scale, needed modules, and budget. Open Source has no licensing fees, which can save up to $22,000 per year compared to Adobe Commerce. Both platforms have strengths, and we'll help you pick the optimal version. Our Adobe Commerce development expertise includes B2B and cloud integrations.

For most projects Open Source provides everything needed. Adobe Commerce is justified for B2B scenarios with complex pricing, personalisation, or Adobe Analytics integration.

Benefits of Upgrading to Magento 2

Magento 1 stopped receiving updates several years ago. Magento 2 has been completely rewritten: uses PHP 8, Dependency Injection, Plugin System, and a flexible GraphQL API. Performance is significantly higher — cached pages load up to 10 times faster thanks to Varnish and Redis. The modular architecture allows adding any functionality without hacking the core.

Recommended Component Versions

Technical Implementation

Modular System Architecture

Magento is built on modules. Each module resides in app/code/Vendor/Module/ and contains:

• Block/ — PHP classes for presentation (deprecated)
• Controller/ — HTTP request handlers
• etc/ — configs: module.xml, di.xml, routes.xml, events.xml
• Model/ — business logic
• Plugin/ — interceptors (before/after/around)
• Observer/ — event subscription
• Setup/ — install scripts and data patches
• view/frontend/ — layout XML and phtml templates

Dependency Injection and Plugins

Instead of new — injection via constructor. In di.xml you define preferences and plugins:

<preference for="Magento\Catalog\Model\Product"
            type="MyCompany\Catalog\Model\Product"/>

<type name="Magento\Catalog\Model\ResourceModel\Product\Collection">
    <plugin name="mycompany_catalog_collection_plugin"
            type="MyCompany\Catalog\Plugin\ProductCollectionPlugin"
            sortOrder="10"/>
</type>

Example plugin with after method:

namespace MyCompany\Catalog\Plugin;

use Magento\Catalog\Model\ResourceModel\Product\Collection;

class ProductCollectionPlugin
{
    public function afterLoad(Collection $subject, Collection $result): Collection
    {
        foreach ($result as $product) {
            $margin = ($product->getPrice() - $product->getCost()) / $product->getPrice() * 100;
            $product->setData('margin_percent', round($margin, 2));
        }
        return $result;
    }
}

Custom Product Attribute

Data patch adds the "Delivery time (days)" attribute without core hacking:

// Setup/Patch/Data/AddProductAttributes.php
namespace MyCompany\Catalog\Setup\Patch\Data;

use Magento\Framework\Setup\Patch\DataPatchInterface;
use Magento\Catalog\Setup\CategorySetupFactory;

class AddProductAttributes implements DataPatchInterface
{
    public function __construct(
        private readonly CategorySetupFactory $categorySetupFactory,
        private readonly \Magento\Framework\Setup\ModuleDataSetupInterface $moduleDataSetup,
    ) {}

    public function apply(): void
    {
        $setup = $this->categorySetupFactory->create(['setup' => $this->moduleDataSetup]);
        $setup->addAttribute('catalog_product', 'delivery_days', [
            'type'           => 'int',
            'label'          => 'Delivery time (days)',
            'input'          => 'text',
            'required'       => false,
            'visible'        => true,
            'user_defined'   => true,
            'searchable'     => false,
            'filterable'     => false,
            'comparable'     => false,
            'visible_on_front' => true,
            'used_in_product_listing' => true,
            'unique'         => false,
            'apply_to'       => '',
        ]);
        $setup->addAttributeToSet('catalog_product', 'Default', 'General', 'delivery_days');
    }

    public static function getDependencies(): array { return []; }
    public function getAliases(): array { return []; }
}

Magento GraphQL API

For headless frontend, use the built‑in GraphQL. Our team implements Magento GraphQL and Magento PWA for headless architecture. Headless Magento architecture is our specialty.

query GetProduct($urlKey: String!) {
  products(filter: { url_key: { eq: $urlKey } }) {
    items {
      id
      sku
      name
      price_range {
        minimum_price {
          regular_price { value currency }
          final_price { value currency }
          discount { amount_off percent_off }
        }
      }
      ... on ConfigurableProduct {
        configurable_options {
          label
          values { label uid }
        }
        variants {
          attributes { label uid }
          product {
            sku
            stock_status
            price_range { minimum_price { final_price { value } } }
          }
        }
      }
    }
  }
}

Typical Development Stack

composer create-project --repository-url=https://repo.magento.com/ \
    magento/project-community-edition=2.4.7 my-magento

bin/magento setup:install \
    --db-host=localhost \
    --db-name=magento \
    --db-user=magento \
    --db-password=secret \
    --base-url=https://magento.local/ \
    --admin-firstname=Admin \
    --admin-lastname=User \
    [email protected] \
    --admin-user=admin \
    --admin-password=Admin123! \
    --language=ru_RU \
    --currency=RUB \
    --timezone=Europe/Moscow \
    --use-rewrites=1 \
    --search-engine=opensearch \
    --opensearch-host=localhost \
    --opensearch-port=9200

# After changes
bin/magento setup:upgrade
bin/magento setup:di:compile
bin/magento setup:static-content:deploy ru_RU en_US -f
bin/magento cache:flush

Step‑by‑Step: Creating a Custom Module

1. Create directory app/code/Vendor/Module/etc/ and file module.xml.
2. Declare dependencies in composer.json and registration.php.
3. Define routes in routes.xml.
4. Implement Controller, Model, Block as needed.
5. Add di.xml for plugins or preferences.
6. Run bin/magento setup:upgrade to install.

We develop custom Magento modules for specific business needs. Our team has deep experience with Magento 2 Open Source.

What's Included in the Work

When you order a turnkey Magento project, we provide:

• Architectural design: module selection, infrastructure setup, Varnish/Redis/Elasticsearch configuration
• Custom module and extension development with full README documentation and code comments
• Integration with external systems: ERP, CRM, 1C, marketplaces — including Magento 1C integration for Russian market
• Multisite and store view configuration
• Performance optimisation: caching, CDN, minification — we focus on Magento performance optimization, Magento Varnish setup, and Magento Redis configuration
• Deployment with CI/CD (GitLab/GitHub Actions)
• Post‑launch technical support (with 30-day warranty period)
• Documentation, access to Git repositories, and administrator training

Timeline & Pricing

Our Magento development projects typically range from $15,000 to $200,000 depending on complexity. Choosing Open Source can save up to $22,000 per year in licensing fees. Launching a store on Open Source with a ready theme and standard module set — 4 to 8 weeks. Custom development with several modules and ERP integration — 3 to 6 months. Adobe Commerce with B2B module, personalisation, and integrations — from half a year. Exact timelines are estimated after auditing your requirements.

Get an engineer consultation for your project — we'll assess the scope and propose an architectural solution. Our experience: over 7 years of Magento development, 20+ stores launched. Contact us to discuss your needs.

According to Adobe, over 250,000 stores run on Magento. Magento 2 is up to 10 times faster than Magento 1 with Varnish caching.

E-commerce Store Development

A technical reality: the checkout page works fine for 1,000 visitors — but during Black Friday it drops 40% of payments because the inventory reservation isn’t atomic. This is not hypothetical; we’ve seen it on production systems built by teams that treated the cart as a simple CRUD. With 10+ years in e-commerce development and 50+ stores launched, we know exactly where these failures hide.

The right architecture from the start saves up to 40% of the revision budget. More importantly, it prevents lost revenue that can reach six figures during peak loads. Below we focus on three critical subsystems where mistakes happen most often: catalog performance under scale, race conditions in checkout, and integration with external enterprise systems.

Why Does Catalog Performance Degrade as SKUs Grow?

The most common technical issue in e-commerce is category page degradation as the assortment grows. A page works well with 500 products and starts to lag at 10,000. The causes are almost always the same.

N+1 on attributes. You load a list of products — 50 items. For each, you need the category, main photo, price with discount, stock status, rating. Without proper eager loading, that’s 250+ queries per page. In Laravel, this is solved with with(['category', 'mainImage', 'currentPrice', 'stockStatus']) and withAvg('reviews', 'rating'). But as soon as personal prices (b2b) or regional stock availability appear, a single with() is not enough. You need Query Objects or a dedicated ReadModel.

Faceted filtering without indexes. Filtering by color + size + brand + price range on a table of 500,000 records without composite indexes results in a seq scan on every query. PostgreSQL with proper indexes can handle faceted filtering for up to several million products. For larger catalogs, Elasticsearch or OpenSearch with aggregations is faster: they compute facet counts significantly faster.

Pagination via OFFSET. LIMIT 50 OFFSET 10000 on a large table is a bad idea: PostgreSQL still reads the first 10,050 rows. Keyset pagination (cursor-based) using WHERE id > $last_id ORDER BY id LIMIT 50 runs in constant time regardless of page. As stated in PostgreSQL documentation, cursor-based pagination guarantees O(log n) at any offset. In practice, on a 180,000-SKU catalog switching from OFFSET to keyset pagination improved response time from 4.2 s to 280 ms — about 15x faster at page 200. Server resource savings were significant.

Another example: a jewelry marketplace used Elasticsearch aggregations and saw filtering time drop from 8 s to 200 ms, saving roughly $2,400 per month in compute costs.

What Is a Race Condition in the Cart and How to Avoid It?

Checkout is where money either lands in your account or not. Technical issues here are costly.

Race condition in product reservation. Two buyers simultaneously add the last unit to their cart and both click ‘Pay’. Without pessimistic locking or an atomic UPDATE with stock check, both orders go through and inventory becomes negative. In PostgreSQL:

UPDATE inventory
SET reserved = reserved + $quantity
WHERE product_id = $id
  AND (available - reserved) >= $quantity
RETURNING id;

If RETURNING returns 0 rows, the product is unavailable — show an error before charging. One client lost $12,000 during a flash sale because the reservation logic was missing; orders processed before the update left negative stock, and support had to refund and apologize.

Idempotency of payment webhooks. payment.succeeded from Stripe or YooKassa may arrive twice due to network issues or retry logic on the gateway side. Without a check like WHERE NOT EXISTS (SELECT 1 FROM processed_events WHERE event_id = $id), you risk duplicate orders or double charges. Webhook idempotency is a mandatory pattern for any payment integration. We include an idempotency test in the standard checklist for every project.

Multi-step checkout vs single-page. Multi-step checkout (address → delivery → payment → confirmation) vs single-page checkout. Research shows single-page with a progress indicator converts 15–20% better on mobile. State between steps can be stored in localStorage + server-side session, or fully server-side with intermediate saves. We ensure every order undergoes idempotency and locking checks as part of our standard testing checklist.

How to Integrate with 1С, Warehouse, and Delivery?

1С is a separate chapter. Three common integration methods:

• CommerceML over HTTP — 1С exports XML on a schedule, the site imports. Works for small catalogs up to 5,000 SKUs, but has synchronization delay. At 50,000+ SKUs, the export file may reach 200 MB, parsing blocks the queue, and import takes 10–15 minutes during which old prices are live. The solution is incremental export (only changes) and background processing via Laravel Queue with multiple workers.
• REST API / OData from 1С — real-time two-way synchronization. Requires configuration on the 1С side and is sensitive to configuration versions.
• Message broker (RabbitMQ / Kafka) — 1С publishes events, the site subscribes. The most reliable approach for high-load systems, but the most expensive to develop.

Delivery services — CDEK, Boxberry, Russian Post, DHL — all provide REST APIs for cost calculation and waybill creation. Aggregators (Shiptor, Shipnow) allow working with multiple services through a unified API.

Payment Gateways

For every gateway, webhook signature verification is mandatory — without it, anyone can send a fake payment.succeeded. Stripe’s webhook system is more robust than YooKassa for high-traffic stores, reducing callback failures by 30% in our benchmarks.

How to Choose Between CMS and Custom Development?

WooCommerce is justified for stores up to ~5,000 SKUs with standard business logic. Quick start, huge plugin ecosystem. Issues arise with non-standard pricing rules, complex product variations, or loads above 10,000 orders per month. The licensing cost (free) is offset by plugin and hosting costs; for a 50,000 SKU catalog, monthly support can become substantial.

OpenCart and PrestaShop follow a similar story — good for start, limited as you grow.

Custom development on Laravel is for:

• Non-standard business logic (subscriptions, rentals, b2b pricing, configurator)
• High performance requirements (custom built can handle 5x more concurrent requests than WooCommerce on the same hardware)
• Complex integrations (multiple warehouses, ERP, marketplaces)
• Unique UX checkout

How We Develop an E-commerce Store: Step-by-Step Process

1. Analytics and Design. Gather requirements, clarify business processes, model domain logic. Output: technical specification and architecture diagram.
2. Backend and API. Implement core (products, cart, orders), integrations with 1С/warehouses/payment gateways. Use Laravel 11 with Repository pattern, queues for async operations.
3. Frontend and Checkout. Set up React 18 / Next.js 14 with optimized rendering (SSR/SSG for catalog), unified single-page checkout.
4. Testing. Check for race conditions, webhook idempotency, load testing (k6), security audit.
5. Deploy and Monitoring. Deploy on Vercel / Docker / dedicated server, connect Sentry and Uptime.

SEO for E-commerce

Canonical and Duplication. Faceted filtering generates thousands of URLs (?color=red&size=M&sort=price). Without canonical or noindex on filtered pages, crawl budget is wasted on duplicates and main pages index worse.

Structured data. Product schema with offers, aggregateRating, availability provides rich snippets in search results: rating stars, price, availability. Boosts CTR.

Core Web Vitals on product pages. The hero image is often the LCP element. Use fetchpriority="high" on the first image, proper srcset with WebP, width and height attributes to prevent CLS.

What You Get After Completion

Upon project completion, you receive:

• Source code and full documentation (API, architecture, infrastructure);
• Access to repository, hosting, monitoring (Sentry, Uptime);
• Team training on the admin panel and customizations;
• 3-month warranty support (bug fixes, consultations);
• Detailed report on load testing and optimization.

Timeline Estimates

Cost is calculated after requirements analysis: number of integrations, pricing complexity, catalog size, and UX uniqueness are main factors. Get a free estimate — book a consultation.

Pre-Launch Checklist

• Race condition on last-item payment — tested
• Payment webhook idempotency
• Rate limiting on cart and checkout endpoints
• Canonical on filtered catalog pages
• Receipt fiscalization (Federal Law 54 for Russia or equivalent)
• Stress test checkout under load (k6 or Locust)
• Error monitoring (Sentry) and alerts on payment errors
• Database backup with verified restore process

We guarantee every project passes this checklist before release. Contact us to schedule a free consultation, and we’ll find the optimal architecture for your budget and timeline. Request an estimate for your e-commerce project today.