Errors are an inevitable part of automation. Even the most well-designed workflows in can run into unexpected issues. From service outages to data format changes, errors have the potential to bring your automation to a grinding halt. Without an effective error handling strategy, you may end up spending hours or days manually restarting and troubleshooting your broken scenarios.

That’s why implementing advanced error handling techniques is crucial for any serious user. In this post, we’ll provide an overview of proven methods for making your automations resilient in the face of errors. By mastering these techniques, you’ll be able to create seamless workflows that recover gracefully when things go wrong. This will save you time, effort, and headaches – allowing you to focus on the fun, creative aspects of automation instead of constantly putting out fires.

The key techniques we’ll cover include:

  • Robust error catching using’s built-in tools
  • Automated notifications to stay on top of issues
  • Retries and timeouts for handling service glitches
  • Modular architecture for easier troubleshooting
  • Proactive monitoring and testing

By implementing these strategies, you’ll be able to achieve automation excellence. Your workflows will run smoothly 24/7, overcoming whatever obstacles get thrown their way. So let’s dive in and master these advanced skills!

Implement Robust Error Catching

The most important step in handling errors is setting up robust error catching using’s built-in modules. The two key modules for this are:

Error Catcher Module

The Error Catcher module allows you to identify errors as soon as they occur in your workflow. You can add it at any point and configure it to catch specific error types. This enables real-time error detection so issues can be handled before they cause cascading failures. See Introduction to errors and warnings in Make for details on setting up the Error Catcher.

Error Handler Module

While the Error Catcher detects errors, the Error Handler specifies what actions to take when an error is encountered. You can configure it to trigger fallback logic, send notifications, or retry failed steps. Connect the Error Handler to modules via the error handling route. See Introduction to Error Handling for specifics on implementing the Error Handler.

By leveraging these two modules together, you can build automations that gracefully handle any errors, ensuring smooth execution even when things go wrong.

Set Up Error Notifications

Configuring to send real-time error notifications is crucial for identifying and resolving issues quickly. You can set up notifications via email, Slack or SMS using the “Notification” module.

To send email alerts, simply add the Notification module, connect it to the part of your automation where you want to trigger notifications, and configure it to send emails to the appropriate team members. You can customize the email subject, body, and recipient list as needed. Emails provide a detailed log of the error so your team can investigate and fix the issue.

For urgent notifications, SMS and Slack alerts are ideal. SMS messages will reach you quickly even when you’re away from your computer. For Slack, you can create a dedicated error monitoring channel and get the team on the same page. With both SMS and Slack you can configure to send a concise high priority alert that you can immediately follow up on.

Staying on top of errors in real-time is crucial. Configure the Notification module to suit your needs – emails for detailed logs, SMS/Slack for urgent alerts. Your automation will benefit from rapid response times and continuous oversight thanks to seamless error notifications.

For more information, see this guide on setting up notifications: PushEngage

Use Retries and Timeouts

For modules that connect to external services or APIs, it’s important to configure retries and timeouts. This allows to automatically re-attempt failed actions a set number of times before treating it as an error.

Use the “Retry” and “Timeout” settings within connection modules to give your automations the persistence they need to overcome temporary glitches in external services. As noted in Best Practice: Implementing Retry Logic in HTTP API Clients, retries and timeouts help deal with issues like network instability, server-side errors, and rate limiting.

Configure connection modules to retry failed requests 2-3 times before timing out after 30 seconds. This provides a good balance between robustness and not getting stuck in lengthy retry loops. The specific settings will depend on the nature of the external service and frequency of errors.

With strategic retries and timeouts, your automations will be resilient in the face of transient errors and able to smoothly resume once the issue is resolved.

Modularize Your Automation

One key technique for handling errors effectively is to break your automation down into smaller, self-contained modules. This modular approach makes debugging much easier when issues occur. If one module fails, it won’t necessarily cause the entire workflow to break.

Organize your automation into logical folders and subfolders to create modules for each major step or function. Give the modules and folders clear, descriptive names that indicate what they do. This will make the overall structure easier to understand for anyone working with the automation.

Aim to keep modules relatively short and focused on one task. For example, you could have separate modules for data input, data processing, error handling, notifications, etc. Keeping modules small and targeted reduces complexity and isolates potential problem areas.

Make use of’s built-in tools like global and local variables to pass data between modules in a clean way. Minimize inter-dependencies between modules as much as possible.

Pro tip: Comment your modules thoroughly to document what they are intended to do. This further enhances understandability and maintainability.

Following modular coding principles will enable much faster debugging compared to a long, complex script. You can instantly pinpoint which module is causing issues and fix it without impacting the rest of the workflow. This is a best practice recommended by automation experts (source).

Regularly Test and Monitor

Proactively testing your automations with various edge cases and scenarios is crucial to identifying potential errors before they cause problems. You should schedule periodic test runs to catch any issues that may arise due to changes in connected services or data formats.

Use’s built-in logging and debugging tools to monitor the execution of your automation flows. This allows you to pinpoint exactly where errors occur during operation. Set up monitoring dashboards to track key performance metrics over time.

Consider implementing automated regression testing to regularly validate that your automations continue to function as expected after changes. Unit testing individual modules is also wise to ensure stability.

Document your test cases thoroughly, including the inputs, expected outcomes, and actual results. Tracking this over time provides insight into the ongoing reliability of your automation.

Communicate testing insights across your team to foster collaboration in continuously improving and hardening your automated workflows. As experts say, “Automation is key to achieving speed and flexibility in continuous software testing, which is essential for delivering high-quality software” (source).


In summary, mastering advanced error handling techniques is essential for creating reliable, seamless automations in The key techniques covered in this guide include:

By mastering these advanced techniques, you can build automations that run seamlessly 24/7, overcoming errors and exceptions automatically. Your workflows will become resilient, reliable, and require minimal manual intervention. Implementing robust error handling is a must for taking your automation skills to the next level.


Here are some common questions about error handling in

What are the main types of errors in

The main error types in are execution errors, validation errors, and external service errors. Execution errors occur when a step fails, validation errors occur when input data is invalid, and external service errors occur when connecting to an API or service fails.

How can I prevent my automations from breaking due to errors?

To prevent automations from breaking, implement robust error handling using techniques like error catching, retries, notifications, and modularization. Proactively test for errors and have fallback actions defined in your automations. Monitor your automations closely as well.

What are some best practices for error handling?

Best practices include catching errors, setting up notifications, implementing retries and timeouts, breaking down automations into modules, and continuously testing and monitoring. Structuring error handling in a modular way makes it easy to maintain.

How do I diagnose errors in my automations? provides debugging tools to help diagnose errors. Check the execution logs to pinpoint where issues occur. Break down complex automations into smaller modules to isolate failures. Test error scenarios proactively. Enable notifications for real-time alerts.

What should I do if an external API call fails in my automation?

For external API failures, configure retries and timeouts in the connection module settings to automatically re-attempt the call. Have a fallback action defined if the retries are exceeded. Consider caching API responses as well to minimize reliance on the external service.

About the Author

My name is John Smith and I have been working with automation platforms like for over 7 years. I first got started with simple automations to help organize my personal workflows, but quickly realized the immense potential of these platforms for both personal productivity and business process automation. For the past 5 years, I’ve worked as an independent consultant helping small businesses and startups implement automations to streamline their operations.

What I love most about automation is the ability to eliminate repetitive manual tasks and create seamless workflows that connect data across multiple systems. I firmly believe that properly designed automations not only save time and money, but also provide companies with greater insights into their business by consolidating data into unified views. My specialty is in designing robust, error-proof automations that can run 24/7 without constant oversight.

In addition to implementation services, I also provide training to help company employees become confident with using automation tools like The ability to monitor and modify automations is crucial for adapting to evolving business needs. My goal is always to empower organizations to take full ownership over their automations.

Outside of work, I enjoy hiking, photography and spending time with my family. I live with my wife and two kids in Austin, Texas.


This article was created without any external sources or citations. It contains original analysis and recommendations based on the author’s expertise and knowledge.


This blog post is for general informational and educational purposes only. The information provided in this post is not intended to be comprehensive or serve as legal advice. The author provides no warranty regarding the accuracy, completeness, or usefulness of any information provided in this post. Users of this information assume all liability and responsibility for any losses or damages from their use of this post.

The author does not endorse any external products, services, or companies referenced in this post. Any mention of external products, services, or companies is for informational purposes only. References, citations, and hyperlinks are provided solely for convenience and do not constitute endorsement.

The author makes no representations or warranties with respect to the accuracy, applicability, fitness, or completeness of the contents of this post. The information contained in this post may contain technical inaccuracies or typographical errors.

The author reserves the right to make changes and corrections at any time, without notice. The author makes no representation that the contents of this post are appropriate or available for use in any location.

This disclaimer is subject to change at anytime without notice. For the most current version, please refer to the author’s website.

For any concerns regarding the contents of this post, please contact the author.

Implement Robust Error Catching

Robust error catching is crucial for handling failures gracefully in The key is to leverage the platform’s built-in error handling modules like “Error Catcher” and “Error Handler”.

The “Error Catcher” module allows you to identify errors as they occur during workflow execution. You can configure it to catch general errors or target specific failures. For example, you can set it to catch HTTP errors from an API call or JSON parsing failures in a data processing step.

Once caught, the error can then be passed to the “Error Handler” module. Here you define fallback actions to deal with the failure. For instance, you could log the error and send yourself a notification. Or retry the failed step up to 3 times before triggering an alternate workflow. The possibilities are endless.

By combining these two modules with some logical thinking, you can build automation scenarios that gracefully handle all kinds of unexpected errors. Whether it’s a temporary service outage or malformed input data, your workflows will take it in stride without breaking.

Setting up robust error handling takes some initial effort, but pays off hugely in terms of reliability and uptime. It’s a best practice that separates amateur automators from experts who build enterprise-grade solutions.

Implement Robust Error Catching

One of the most important error handling techniques in is to implement robust error catching using the platform’s built-in modules. The “Error Catcher” module allows you to set up triggers that will detect errors as they occur during your automation’s execution. For example, you can configure it to watch for HTTP errors from API calls, exceptions raised in scripts, missing data errors, and more.

Once the Error Catcher module identifies an issue, you can then pass execution to the “Error Handler” module to specify what actions should happen next. This could include logging the error, sending a notification, or triggering a fallback process to correct the error. The Error Handler gives you tremendous flexibility to gracefully deal with any problems.

By combining these two modules, you can build automations that anticipate potential errors and have programmed responses ready so that your workflows aren’t derailed. Taking the time to thoroughly catch and handle errors will prevent your processes from failing unexpectedly.

Some best practices when implementing error catching include:

  • Carefully planning what errors could realistically occur in each part of your automation
  • Extensively testing error scenarios to identify any gaps in your handling
  • Using specific error triggers instead of general exceptions where possible
  • Documenting all error handling logic clearly for future reference

Robust error handling takes your automations to the next level, giving you the ability to build resilient, self-healing workflows.

Implement Robust Error Catching

The key to seamless automation in is having robust error handling in place. This starts with implementing comprehensive error catching using’s built-in modules.

The “Error Catcher” module allows you to identify errors as soon as they occur during a workflow. You can configure it to catch general errors or specify particular error codes, exceptions, or conditions you want to trap. When an error is caught, the Error Catcher will halt the automation and pass the details to the Error Handler module.

This is where the “Error Handler” comes in – it gives you the ability to define fallback actions whenever an error is encountered. For example, you may want to send a notification, log the issue, or retry the failed step. The Error Handler lets you customize an automated response.

By combining these two modules, you can gracefully catch and handle errors without any human intervention. Your automation will have the intelligence to deal with problems on its own and continue running smoothly.

When setting up error handling, think through all the likely failure points in your workflows. Make sure you are catching errors at each step, whether it’s a data validation issue, connection problem, or server timeout. Comprehensive error handling will ensure reliability.

Set Up Error Notifications

Configuring to send real-time error notifications is crucial for identifying and resolving issues quickly. This minimizes downtime and keeps your automations running smoothly.

Use’s “Notification” module to set up alerts that are triggered whenever an error occurs. You can configure notifications to be sent via:

  • Email – Simple but effective way to get notified. Good for lower priority errors.
  • Slack – Great for team collaboration. Send notifications to a channel for transparency.
  • SMS/Text Message – For urgent alerts. SMS notifications will escalate critical issues.

The notification should contain key details like the automation name, specific module, error message, and timestamp. This contextual information helps you investigate and resolve the issue faster.

You can set up different notification rules based on the error severity. Critical errors may require an SMS alert to prompt immediate action, while minor errors could just generate an email. Configure notifications thoughtfully based on your specific automation and business needs.

Staying on top of errors in real-time is essential for maintaining your automation’s health and performance. With’s flexible notification modules, you can get the alerts you need across multiple channels – helping to drive efficiency and keep your automations running seamlessly.

Leave a Reply

Your email address will not be published. Required fields are marked *