New Relic is an APM tool that helps solve PHP function performance issues and includes the following features: Transaction tracking: Tracks the request life cycle, including function execution time. SQL Query Monitor: Identify SQL statements that cause slow queries. Custom events: Measure specific event performance. With analytics, users can identify and fix bottlenecks, such as optimizing functions to prevent duplicate SQL queries.
How to use New Relic to debug application performance monitoring of PHP functions
New Relic is a popular application performance monitoring ( APM) tool that helps you identify and resolve potential performance issues in your PHP functions. It provides in-depth visibility and analysis capabilities, allowing you to quickly diagnose and fix application bottlenecks.
Install the New Relic extension
To start using New Relic, you need to install the PHP extension. You can use the Composer installer:
composer require newrelic/newrelic-php
Enable Application Performance Monitoring
After installing the extension, you need to enable Application Performance Monitoring. You can do this by adding the following line to your php.ini file:
newrelic.appname = "YourAppName" newrelic.license = "YourLicenseKey"
Debug Function Performance
New Relic provides many features to help you debug functions performance. These include:
Practical Case
Let’s consider an example of using New Relic to debug a slow function that is causing performance issues. Suppose you have a function compute_data()
:
function compute_data() { $data = []; for ($i = 0; $i < 10000; $i++) { $data[] = $i * $i; } return $data; }
Calling this function will cause performance issues. Using New Relic's transaction tracing feature, you can see that the compute_data()
function takes a long time to execute. By using the SQL Query Monitor, you can see that the for loop in the function is executing a large number of unnecessary SQL queries.
Fixing Performance Issues
Once you identify the bottleneck causing the performance issue, you can take steps to resolve it. In this case, you can optimize the compute_data()
function by using a caching mechanism to prevent duplicate SQL queries.
function compute_data() { $data = []; if (cache_get('data')) { return cache_get('data'); } for ($i = 0; $i < 10000; $i++) { $data[] = $i * $i; } cache_set('data', $data); return $data; }
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