Diagnostics and Monitoring Tools for Salesforce — Part 1

Improve the quality and performance of your implementations

Salesforce Architects
Salesforce Architects
8 min readNov 30, 2020

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Just as there is no one tool in a mechanic’s workshop suited to all tasks, there is no one tool that can perform all Salesforce Application Lifecycle Management (ALM) tasks. Instead, you have a comprehensive set of tools available to you. Admittedly, it can be overwhelming to understand what tools are available and when to best apply them. This two-part series covers tools for diagnostics and monitoring. Based upon their primary use cases, we loosely categorize the tools into four categories:

  • Development and quality — troubleshooting tools that help developers to debug and improve the quality of application being developed
  • Scale and performance — measurement tools used to assess key performance and scale metrics
  • Security and compliance — diagnostics tools that identify security risks and potential loopholes
  • Release and maintenance — monitoring tools to help administrators track routine jobs and perform system maintenance to avoid technical debt

Part 1 covers the first two categories; Part 2 covers the remaining two. For your reference, all of the tools covered in this series are summarized in a single table shared in Part 2.

The right tool for the right time

Salesforce Application Lifecycle Management models provide the project team with a consistent process and policies to build applications smoothly. The steps in an application lifecycle can have different labels, but they fall into these key activities:

  • Plan
  • Code and configure
  • Merge and test
  • Scale and user acceptance testing (UAT)
  • Release and maintain

While the diagnostic tools can be used by the project team at any point of time, this diagram illustrates when each tool category is most useful.

  • Development and quality tools are typically used by developers at the beginning of the code and configure stage until the post-production support activities are completed during the release and maintain stage.
  • Scale and performance KPIs should be measured and benchmarked early on in the code and configure stage. Since these KPIs should be part of the control tollgate for production releases, we expect that the usage of scale and performance measurement tools to phase out towards the end of the scale and UAT stage.
  • Security and compliance checks are typically part of the scope for non-functional QA during the merge and test stage. They are also important tools for administrators who are responsible for application upkeep during the release and maintain stage.
  • Operation and adoption tools are used by administrators to perform their day-to-day Salesforce application support activities during the release and maintain stage. This set of tools is also useful to reduce technical debt in existing applications. These findings can be useful inputs to the plan stage of next release.

Development and quality use cases

A developer’s best friend: debug logs

Developers need diagnostic tools to help them troubleshoot issues and verify the work in progress. Debug logs are one of the most commonly used tools for this. A debug log can record database operations, system processes, and errors that occur when executing a transaction or running unit tests. The debug log is easily accessible in a Salesforce organization’s setup section or via Developer Console. Whether you are using Visual Studio Code or the new web-based Salesforce Code Builder, the Apex Interactive Debugger provides a much improved real-time debugging capability. In addition, you can use the Apex Replay Debugger to reproduce a scenario by replaying a debug log interactively against the code base.

What if you could visualize all this great data from debug logs? Wouldn’t that make debugging and code optimization so much easier? With SPEXY you can start a trace on a specific user flow. The tool will automatically gather all the relevant debug logs in the session and generate a dashboard of call sequences and performance breakdowns by key categories such as SOQL, DML, Callout, Workflow and so on. As a result, you can identify Apex performance bottlenecks much faster and more efficiently than going through multiple large log files manually.

A tool belt for Lightning Experience development

There are two programming models for building reusable components for Salesforce Lightning Experience applications: Aura and Lightning Web Components (LWC). The new LWC model is an implementation of the W3C’s Web Components standards. Therefore, LWC developers can use standard browser-based tools to debug front-end issues (JavaScript, HTML, and CSS). Chrome DevTools and Developer Tools in IE are both popular choices. For Aura developers, there is a Chrome DevTools extension, Salesforce Lightning Inspector, that enables you to navigate the component tree, inspect component attributes, and profile component performance. Since JavaScript is a key construct in LWC, Linting can also provide an important guardrail against malformed code or anti-patterns. Salesforce created LWC linting rules that can be enforced with eslint-plugin-lwc.

You might be wondering how to debug issues with Salesforce applications for mobile devices. Salesforce provides mobile develper tools and resources that enable you to build and debug mobile-ready Lightning Web Components both locally from Visual Studio Code and from within Salesforce mobile app virtual device builds.

App Builder is a point-and-click tool that makes it easy to create custom pages for the Salesforce mobile and desktop app. You can get tips in a docked prompt within App Builder to improve your pages in areas such as performance, usability, and structure. For Salesforce communities, the Community Page Optimizer is a Chrome plug-in that analyzes your community and identifies issues that impact performance.

Other diagnostic tools in the Salesforce ecosystem

Salesforce takes an API-first approach to building features on the Salesforce Platform. There is a vibrant community using those APIs to build third-party tools that extend the platform’s diagnostics capabilities. For example, Workbench is a popular, community-supported suite of tools designed for administrators and developers to interact with Salesforce organizations via the Force.com APIs. Toolkit for Salesforce provides a set of tools and applications to support common diagnostic tasks.

AppExchange is another good source for solutions that extend the standard diagnostics provided by the platform. For example, the Streaming Monitor and Platform Event Usage Monitor apps published by Salesforce Labs let developers or administrators monitor stream events such as PushTopic, platform, and CDC events, as well as usage statistics.

Table 1. Diagnostic tools for development and quality

Scale and performance use cases

For any mission-critical applications, scale and performance requirements should be an integral part of the project plan from inception. One of the primary goals for scale testing is to determine the application’s ability to scale up to the maximum number of expected users or transaction volume. It is especially important to test CPU-intensive operations or database-intensive transactions to ensure they don’t violate governor limits during peak load. Additionally, performance testing should be conducted to identify performance bottlenecks under anticipated user loads.

Measure Lightning Experience performance

Experienced Page Time (EPT) is a performance metric Salesforce uses in Lightning applications or communities. EPT measures how long it takes for a page to load into a state that a user can meaningfully interact with. You can display EPT in the header of your application by appending ?eptVisible=1 to the URL. The aggregate page EPT statistics are stored in Lightning Usage App objects (e.g. LightningUsageByPageMetrics). You can monitor these metrics with the standard Lightning Usage App or by building a custom report.

Navigate through the performance triangle: client, network, and server

With the Winter ’21 release, you can analyze the performance of your page against configuration best practices right inside Lightning App Builder. In order to improve the performance of a suboptimal Lightning page, a logical next step is to learn additional information about the performance characteristics. Lightning page performance can be categorized into three areas:

  • Client — time to execute JavaScript or render HTML locally in the browser
  • Network — time to communicate between the browser and Salesforce
  • Server — time Salesforce needs to perform various logic or database operations

You can use browser developer tools to gain insights on Lightning page performance characteristics in these areas. In addition, the profiling capabilities in these tools are pivotal in identifying specific culprits at client or network bottlenecks. Other than the application design, there are other external factors that can affect page loading times, including the geographical distance between the client and server, the processing power and memory available on the client machine, and the choice of browser. You can find the browser’s octane score, latency, and download speed by running a speed test on the target user’s machine. To run the test, append “speedtest.jsp” to the Salesforce organization’s URL (e.g. https://MyDomainName.lightning.force.com/speedtest.jsp)

For Salesforce server-side performance metrics, the debug log is a good starting point. However, it can be challenging to fish out specific measurements from a monolithic debug log. Event Monitoring is powerful tool for exploring the granular details of user activity in your organization. It captures and stores key system events into an EventLogFile object. The event types address a variety of monitoring use cases such as security, compliance, and performance. There is a standard Event Monitoring Analytics App with a set of prebuilt dashboards that let you to explore the event log data. An AppExchange package named Eagle Eyes provides further visualization and interpretation of performance events based upon established best practices. You can also download the event files using the Salesforce Event Log File Browser and import them to other log analytics platforms (e.g. Splunk) for further analysis. The server performance metrics are typically tied to CPU and database usage. For SOQL-related performance issues, the Query Plan tool in Developer Console provides you with insight on different query operations and their related costs.

A subset of events gathered by Event Monitoring is available in near real time. These real time events are streamed as platform events and can be consumed by the Streaming Monitoring App from App Exchange, or any third-party monitoring application that supports the streaming API (e.g. CometD). There are five main categories of real-time events: authentication, data access, page access, threat detection, and mobile security events.
Among them, there are two streaming events that are especially useful for performance monitoring:

  • LightningUriEventStream, with EPT attribute, detects when a user creates, accesses, updates, or deletes a record in Lightning Experience.
  • ConcurLongRunApexErrEvent notifies subscribers of errors that occur when a Salesforce organization exceeds the concurrent long-running Apex limit.
Table 2. Diagnostic tools for scale and performance

Conclusion

In this post, we covered the tools used in configuration, development, and performance diagnosis. In Part 2, we will complete the checklist for your toolbox with tools for security and system maintenance.

About the Authors

Ivan Yeung works as a Success Architect at Salesforce. He helps innovative customers architect, build, and manage enterprise-scale applications on the Salesforce Platform. He is passionate about applying leading edge technology, such as NLP AI and blockchain, in Salesforce solutions.

Mukul Singh is a Success Architect at Salesforce. He focuses on helping large customers with scalable design and architecture on Salesforce.

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