A user is experiencing slow page load times and system performance issues. What actions would you take to identify and address these performance concerns?
When a user reports slow page load times and system performance issues in Salesforce, a systematic approach is essential to identify the root causes and implement appropriate solutions. This involves analyzing various aspects of Salesforce configuration, user activity, and the network environment. The first step is to collect detailed information about the specific performance issues. Get specifics on what pages the user is experiencing slowness. Also, determine whether the problem is affecting one user, a group of users, or everyone in the organization. Obtain details about the user’s environment, including their internet connection, the device they are using, and the browser they are using. Also, determine if they are experiencing issues at specific times of the day. This will help isolate whether the issue is user-specific, network related, or a system-wide problem.
Use Salesforce’s Developer Console to analyze the performance of specific pages and processes. Enable the Developer Console and examine the execution time of different components of a page load, specifically Apex code, SOQL queries, and Visualforce components. Look for any excessively long running operations, which could be indicators of poorly written code. Use the query plan tool to see if any queries can be optimized. If the performance issues are mostly on pages with Apex code, focus on optimizing the code or the SOQL queries. Review Apex code and try to identify any inefficient algorithms, repeated database calls, or unoptimized loops. Code review with another developer is highly recommended, if possible. For example, if the code is making too many database queries, it needs to be optimized and the number of database queries needs to be reduced. Use best practices such as limiting the number of DML operations and making queries bulkified, to ensure all data is retrieved in a single query instead of multiple queries.
Analyze the SOQL queries being used and identify any slow-running queries. Try to create indexes, use filters, and make sure all queries have proper where clauses to retrieve the specific data needed for the page. Poorly written queries can cause page slowness and performance problems. Use the ‘query plan’ option in developer console to see how the query engine is evaluating the SOQL query. The query plan can give hints on how to improve query performance. If there are long running queries that are causing performance problems, try adding a filter, if that is possible, to limit the data being retrieved. Also, if the custom objects are not indexed, consider indexing them. When writing SOQL queries, use field selections to only retrieve the fields required. Use the best possible filter clauses to reduce the number of rows that need to be retrieved.
Examine the Salesforce setup audit trail to identify any changes that might have contributed to the performance issues. A change to system configuration, such as a new integration or change to an automation rule may have inadvertently introduced a performance issue. Review recent changes to workflows, process builders, flows, and validation rules. If you have a complex automation process, break it into smaller, easier to manage processes, and re-evaluate the business requirement. Ensure that any recently deployed changes have been thoroughly tested and do not contain any errors. Review all recently changed Apex code for any errors or performance issues. Evaluate custom code quality and determine if there is a need to optimize the code.
Investigate if there are any resource bottlenecks within the Salesforce environment itself. Monitor Salesforce system limits, such as the number of API calls, asynchronous processes, and data storage limits. If limits are being approached, then consider optimizing the data or performing data backups and data deletion where it is necessary. Also, analyze database usage to see if there are too many records in a specific object, which may be leading to query problems. Perform data archival and deletion if necessary to reduce the number of records. Examine the usage of all the automation processes and ensure there are no automation loops, especially for record updates and flows.
For visualforce pages and lightning components, optimize the code. If the pages are slow to load, then try reducing the number of visualforce components, reduce the number of images, and optimize the Javascript and CSS code. Test on different browsers, and use the same browser version to ensure there are no differences in performance. If lightning components are slow, then optimize the Apex controllers, and make sure all asynchronous operations are being handled properly.
Also, evaluate the user’s network configuration. Ensure there are no network issues, firewall restrictions, or internet bandwidth issues, especially if there are a lot of users connected through the same network. Sometimes issues are caused by network configuration or the user’s device itself. Make sure that the internet bandwidth is sufficient, and that there are no bottlenecks. If the issues are happening on a wireless connection, then consider moving to a wired connection to see if that resolves the issue. Try clearing browser cache and cookies and make sure that the browser is fully supported by Salesforce.
After all these tests, try to identify the core issue, and take corrective actions. Make sure that all changes that are made are tested thoroughly in the sandbox. After the changes are moved to production, monitor user activity to see if the changes have improved system performance. Conduct regular performance reviews of the system to ensure that the user’s experience is optimized. Educate users on browser best practices and general Salesforce performance tips. By performing these steps in a systematic way, most system performance issues can be identified and addressed.