Magento is a web application framework and Content Management System (CMS) that specializes in ecommerce software and online shopping carts. Magento stores information through an MVC architecture and an EAV database model. It was built with Zend Framework components.

It’s a procedure for ensuring that your Magento application runs as expected. (Magento) Adobe Commerce Performance Monitoring consists of identifying, measuring, and evaluating Magento’s performance. It entails anticipating problems and devising strategies to address them.

The speed of a website directly reflects on user experience and good user experience impacts the revenue (sales) of the website. Here we are going to talk about the performance metrics and inbuilt tools available for Adobe Commerce and Adobe Commerce Cloud. Also, third-party tools are used to examine your store’s performance and strategize to optimize the performance.

Performance Metrics

All the ecommerce stores use Key Performance Indicators [KPI] to measure performance and growth. Customer Conversion Rate, Overall Order, Page Load Time, Severe Response Time, and Shopping cart abandonment rate are a few KPIs’s when focused can bring the greatest impact to your business.

Customer Conversion Rate

Customer conversion rate is not linked directly with performance metrics but it plays a very important role, when the store is efficient and user-friendly the higher the conversion rate. By the end of the day, the goal is to convert the customers since they are more likely to make a purchase when using a performant website.

The conversion rate is determined by dividing the number of conversions by the total number of visitors. So tracking these metrics helps determine your store’s performance.

Recommended Read: How to Create Private Content/Section in Magento 2?

Overall Order 

This metric is the total number of orders placed on your website. It’s a good indicator of the overall health of your business. This metric also allows you to assess the effectiveness of your marketing campaigns and decide on ways to drive more value from the traffic you get to your site.

Page Load Time 

Page load time is the amount of time for a web page to fully load. Measured in seconds, it’s one of the indicators of a web page’s performance, and a slow one can directly affect user engagement and business. 

Google uses web page loading time as a direct ranking factor, influencing a page’s position in the search results. Any page with 3s of load time can decrease the bounce rate and increase user engagement.

Server Response Time

Server response time takes the server to respond to the user’s request. Slower server response times can happen due to different reasons, including Server specification, Network bandwidth, Website build quality, Database queries, Pages and data not being cached, and bad code.

Server response time affects page load time since the server must react to every page request. Slow reaction times raise page load times, whereas rapid ones reduce them.

Shopping Cart Abandonment Rate  

Shopping cart abandonment occurs when a user loads up their shopping cart but ultimately leaves the website without completing the purchase. This can happen due to various reasons, such as poor user experience, high shipping charges at the end, a lengthy checkout process, and the unavailability of a guest checkout option.

High cart abandonment is a sign that something in your checkout experience isn’t working. Measuring this cart abandonment rate can give us insights into finding and resolving the problem.

Always remember all the above-mentioned KPIs are connected directly or indirectly with the user experience and, when not taken into consideration will degrade the store’s revenue. So, evaluate these performance metrics to determine gaps better and take measures to address them accordingly.

Read Also: What is the True Cost of Magento Website?

3 Tools to Measure Your Store’s Performance

Above we talked about the important metrics and how it impacts our store’s performance. We have a few tools that are available to measure those metrics and our overall performance.

The given tools help you to find where exactly the bottleneck is:

Profiler

You can use a built-in profiler with Commerce. The profiling nature relies on the analytical tools you employ. Magento supports various formats, including HTML. A dependency graph appears at the bottom of each page when the inbuilt profiler is enabled. It enumerates object dependencies and all of their dependencies, the dependencies for those dependencies, and so on.

By examining the list of dependencies, you can identify unused dependencies. These objects are created because they were requested in a constructor but were never used. Consequently, processor time and memory spent to create these dependencies are wasted.

You can enable and configure the profiler using a MAGE_PROFILER variable in the .htaccess file or from the command line.

CLI Command to enable profiler:

dev:profiler:enable <type>

Which enables the profiler to type HTML [default] or CSV file

CLI Command to disable profiler:

dev:profiler:disable

Once enabled with type HTML, you can see the result in the footer section of the webpage. The result consists of TimerId, Time, Cnt, Avg, Emalloc, and RealMem columns. The time and Cnt are the elements that show how long and the frequency of times the timerId[block] is executed to provide the output.

By debugging this we can avoid unnecessary calls made, remove unused classes, and see which request takes more time to load the content.

Site-Wide Analysis Tool [SWAT] 

Adobe Commerce installations offer a  SWAT[Site-Wide Analysis Tool] report. It provides 24/7 real-time performance monitoring, reports, and advice to identify potential issues and better visibility into site health, safety, and application configurations. It helps reduce resolution time and improve site stability and performance by giving recommendations.

This SWAT provides:

  • Tech stack version compliance and EOL
  • Security bulletin and security scan recommendations

How to access SWAT and generate reports:

  1. On the Admin sidebar, go to Reports > System Insights > Site-Wide Analysis Tool.
  2. Read the Terms of Use for the Site-Wide Analysis Tool and click Accept to continue.
  3. Click the tab you want to see at the top of the dashboard.
  4. In the upper-right corner of the dashboard, click Generate Report.
  5. Select the checkbox for each Type and Priority setting you want to include in the report. [Performance in our case]
  6. Click Generate report.

The downloaded report reveals existing performance issues and outlines the best practices needed to resolve them. This SWAT is exclusively available for Commerce instances.

Apart from the built-in Tools, we have other tools and services available to measure/monitor your store’s performance.

New Relic Service

New Relic is the Application Performance Management tool that monitors applications on a real-time basis and provides insights on the same. Logs, transactions, database queries, apex scores, and more can be monitored.

Adobe Commerce on Cloud provides New Relic access along with the license. By configuring this you can track transactions encountering slow responses or bottlenecks, application throughput, web errors, and more.


Once the issue is captured resolving it will improve the store’s performance. We will see in-depth how to configure and use the New Relic to the fullest here.

Conclusion

Apart from the above, we can use Chrome developer Tools, firefox developer tools, Google page speed insights, GTmetrcis, and many more available tools to check/measure the overall store performance.
Once the performance is measured we need to jump in to fix those and boost the score and speed of our ecommerce store. Here we have the best performance optimization techniques that can increase customer satisfaction and improve business success.

Kalashree P

Kalashree P is an Adobe Certified Expert and Senior Software Engineer at Klizer with 5 years of experience. She specializes in integrating services with Adobe Commerce, developing extensions, and experimenting with new features. Her interest is drawn towards optimizing store performance and sharing technical tips and solutions.

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