Magento 2 Optimization with PowerListing

Today’s fast paced economy requires businesses to scale on the go as the industry expands. This requires a robust platform that can support growth and is future-proof. Industry experts often opt for  Magento 2, a powerful eCommerce platform that ensures high performance and seamless user experience. Collaborating with Magento experts ensures the platform is optimized for scalability and customized to specific business needs.

However, as the platform grows and integrates numerous third-party extensions, performance optimization becomes essential to maintain its efficiency. One of the most effective strategies to address the challenges is through PowerListing, a solution designed to streamline and enhance product listing performance on Magento 2 stores. 

What Is PowerListing?

PowerListing is a robust optimization tool that redefines product listing performance for Magento 2 stores. By indexing all critical product information, such as titles, prices, images, reviews, and more directly into Elasticsearch, it eliminates the dependency on MySQL for listing-related data.

This innovative approach significantly accelerates loading times, improves scalability, and delivers seamless user experience, even for stores with extensive catalogs and  heavy traffic. With features like filtering, intuitive navigation, and faster rendering of product listings, PowerListing enhances the shopping experience while delivering top-tier performance.

Common Issues with Product Listing Pages (PLPs)

Standard PLPs often suffer from:

Dependency on MySQL

Despite advancements like Elasticsearch, MySQL often steps in for tasks such as retrieving product information and inventory details. This becomes resource-intensive and slows down page load times.

Slow Filtering and Sorting

Slow filtering and sorting features can frustrate users, as delays in refining search results disrupt their browsing experience. Customers expect intuitive navigation, and the delay could lead to increased bounce rates and fewer conversions.

Customizations and Third Party Modules

Magento’s flexibility and complexity enable customizations and integrations with third-party platforms, but this often adds complexity. These may lead to performance bottlenecks, slow response times, etc.

Performance bottlenecks

Default Magento 2 may struggle with large catalogs and high traffic. 

• Loading times for category pages that enlist several hundred products can become excessively slow rendering a subpar user experience and higher bounce rates. 
  
• In addition, third party extensions and large customizations further slow down the platform.

Why PowerListing Is Essential for Modern Magento Stores

PowerListing addresses key technical challenges that affect the efficiency and performance of Product Listing Pages (PLPs) in Magento 2 stores.

The current Flow Summary

• User initiates a search query
• Elasticsearch processes the query and returns the product IDs only.
• Magento retrieves the product details such as name, price, image etc. by making multiple calls to MySQL/MariaDB.

The final product listing is assembled and displayed on the frontend.

User Request ->Elasticsearch->Magento-> MySQL/MariaDB ->Magento->Listing Page

Challenges with the Current Workflow

The issue arises due to multiple database calls. While many product details- such as names, prices, and images- are fetched in a single query, certain details, such as inventory or custom attributes, require separate database queries. These additional queries become resource-intensive especially for large catalogs or high-traffic stores. Conducting a Magento 2 code audit can help identify inefficiencies and streamline the database interactions for optimal performance. This process increases response times and delays the rendering of product listings leading to a substandard user experience.

The Solution: How PowerListing Helps Optimize the Process

PowerListing renders a streamlined flow by addressing technical limitations. Here’s how:

1. Eliminating Repeated Database Calls

User request -> Elasticsearch -> Listing Page (No Database calls)

• All the required data including name, price, image, reviews, etc. are indexed in Elasticsearch. Therefore, the frontend requests data directly from Elasticsearch.
• Elasticsearch acts as a primary data store for product information, completely bypassing the need to send queries to the Magento database for listing-related data. Thus, improving efficiency.

This is ideal for speed and scalability, especially with large catalogs.

2. Using a Cache Layer

User request -> Elasticsearch -> Cache Layer -> Listing Page

• This adds an extra layer of optimization on top of the first scenario.
• A caching layer (e.g., Redis, Varnish) is introduced between Elasticsearch and the listing page.
• Product data is pre-fetched and stored in this highly optimized cache layer. So, frequently accessed data from Elasticsearch is cached, further reducing the load on Elasticsearch and improving response times. 
• Elasticsearch integrates directly with this cache, reducing dependency on MySQL/MariaDB during searches.
  

Both flows aim to minimize database calls and leverage Elasticsearch for faster product listing. 

Benefits of Optimizing Magento 2 with PowerListing 

1. Faster Load Times

PowerListing significantly reduce page load times with optimized images, media and caching strategies ensuring that product listings load quickly even on resource intensive pages. Thus, leading to improved user experience and SEO.

2. Improved Search Visibility

Properly structured listings such as product titles, descriptions, tags etc. boost  SEO rankings, making products easier to find on search engines and within the store.

3. Enhanced Filtering

Using PowerListing enables faster and more flexible filtering options, allowing users to find the products they are looking for, faster.

4. Better User Experience

PowerListing's intuitive navigation and enhanced filtering make it easier for customers to browse and discover products. Surfacing relevant details like pricing, promotions, and customer reviews right on the listing page also becomes easier, which significantly influences purchase decisions.

5. Scalability

The store can handle larger numbers of products and higher traffic volumes without a decline in performance.