
Knowledge Base
Articles In This Section
How Workato Actually Works: A Simple BreakdownWorkato Workflow Apps: A Complete OverviewHow to Create Your First Workato Recipe Getting Started with Data Orchestration in WorkatoUnderstanding Webhooks in WorkatoWorkato FAQs: The Ultimate List of Common Workato FAQsHow to Sync your SurveyMonkey Data within Quickbase using WorkatoWhat is WorkatoUnderstanding Workato Custom Connectors How to use GitHub Secret Scanning for your Workato Developer API10 Key Benefits of WorkatoHow to Use Workato to Send an Email through Outlook What is Workato ONEWorkato HTTP Requests: Complete OverviewWhat is an MCP Server and Why It Matters for your AI Foundation Building a High-Impact Workato Center of ExcellenceHow to use Data Tables in Workato: Step-by-Step GuideHow to Use Conditional Actions in Your Workato Recipe Creating a New App Connection in WorkatoHow to use Data Tables in Workato: Step-by-Step GuideHow to Manage API Clients and Client Roles in WorkatoHow to Use Workato For Handling FilesSections
Workato Logger is a built-in connector and feature within the Workato platform used for auditing, testing, and troubleshooting automation recipes.
This allows users to insert specific log messages at various steps within a recipe's workflow to monitor data flow and execution in real-time.
Think of Workato Logger as your recipe “black box"; core key benefits of using Workato logging service:
You can insert "data pills" (variables) into a logger step to record specific values at any point in a recipe's workflow.
By adding a Logger step, you can log the data pills (specific data points) at any stage of a recipe.
This helps pinpoint exactly where an issue, error, or unexpected value occurs during the workflow, which is especially useful for complex processes or batch operations.
Log entries from the "Logger by Workato" connector can be sent to the centralized Workato Logging Service, providing a single location to store and search for events across multiple recipes in a workspace.
Being able to have a centralized view allows you to analyze the different dependencies that are affecting records by analyzing the lifecycle of a record as it gets processed over time in multiple recipes and jobs.
A standard job report only shows the final execution of a step within a loop. The Logging Service, however, provides visibility into every iteration of looped steps, making it much easier to debug complex batch operations.
Assign priority levels—INFO, WARN, or ERROR—to your messages to easily filter them later.
There are two parts to using Workato Logging service:
Creating the log involves sending logs from different recipes and jobs to the centralized logging service, and adding relevant log-level tags for different types of log entries e.g. errors vs job details.
To do so, turn on the Send to Workato log service toggle in your recipe editor and flag your message with a log level to easily find the right entry in the logs page.

After sending the logs to a centralize platform, you should be able to view them in a centralized view through our logs page.
In this view, you can filter entries by log level, recipe ID, job ID, and step number.
You can also text search across your log data. This allows you to search, audit, and troubleshoot different parts of your recipe.

The Workato Logs Page, specifically for the Workato Logging Service, is found by navigating to Tools > Logs in the main menu.
This central repository allows users to view, search, and filter log data from recipes; below are important key details regarding the accessing Workato Logging page:

Each Workato data center is independent, so please ensure you select the correct regional log link (US, EU, JP, SG, AU, IL, or sandbox) if prompted so use the following links to open Workato Logging service for your region:
US Data Center(opens new window)
EU Data Center(opens new window)
JP Data Center(opens new window)
SG Data Center(opens new window)
AU Data Center(opens new window)
IL Data Center(opens new window)
Developer sandbox(opens new window)
As mentioned above, Workato logging service makes it easier to troubleshoot and debug steps which are nested within a loop by providing visibility into each iteration of repeated steps in a batch process.
Workato has also created a great video that gives a step-by-step tutorial on how to use Workato logging service to access data from each record in a batch.
Workato has done an excellent job with breaking down the entire Logging Service process.
Alternatively, you can dive in-depth into this great Workato feature by watching Workato's Product Hour: Advanced operations with Workato Logging Service.
Author: John Orsak
The Workato logging service is a built-in feature that captures and stores log data from automation recipes, allowing teams to monitor workflows, debug issues, and audit system behavior. It provides centralized visibility into recipe execution, helping identify errors, track data flow, and improve automation reliability.
You should log key data points that help diagnose issues and track execution, such as:
Logging should focus on meaningful, contextual data rather than everything, as excessive logging can create noise and reduce performance.
To troubleshoot Workato recipes using logs:
Logging provides visibility into each step of execution, especially in loops or complex workflows, making it easier to pinpoint where errors occur.
Best practices for Workato logging include:
Following these practices ensures logs are actionable, secure, and scalable for enterprise automation environments.
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