Robustness Testing with Monitoring — Product Documentation

📋 Overview

Robustness Testing in E2E Test Automation simulates edge cases, invalid inputs, and unexpected conditions to check how APIs behave. By integrating Monitoring, you can now automatically run these robustness tests on a schedule, ensuring your APIs remain resilient over time.

Instead of running robustness tests only once during QA, E2E monitoring allows you to:

• Detect regressions early
• Continuously validate error handling
• Spot data validation gaps introduced after new deployments

🔄 How It Works

Process Overview:

• Robustness Test Suite – Define APIs and generate robustness test cases (invalid inputs, wrong data types, edge values)
• Attach Monitoring – Create a monitor based on that robustness suite
• Scheduling & Configurations – Same as regular E2E monitors (frequency, retries, notifications)
• Automated Runs – Robustness test cases run at defined intervals
• Results & Health – Track pass/fail, logs, and long‑term trends

🛠️ Creating a Robustness Test Suite

Step 1: Create a Robustness Test Suite

Steps:

1. Navigate to API Ad-hoc Testing → Robustness Testing
2. Click + New Suite and name it (e.g., User Input Edge Cases)
3. Add AI instructions (e.g., “Test user_id with strings, negative numbers, and special chars”)
4. Import APIs (Swagger, Postman, or E2E Test Suite)
5. Save and generate robustness test cases

Step 2: Create a Monitor for the Suite

Steps:

1. In the Robustness Suite Dashboard, click Create Monitor
2. Configure:
   • Monitor Name (e.g., Prod Robustness Health)
   • Suite: Choose the robustness suite
   • Environment: Select environment (Dev, QA, Staging, Production)

Step 3: Configure Schedule

Scheduling Options:

• Frequency – Every 5 min, hourly, daily, or custom
• Start Time – Exact time for the first run
• Days – All days, weekdays, or business hours
• Timezone – For consistency across regions

Step 4: Configure Retry on Failure

Retry Settings:

• Enable Retry – Toggle on
• Retry Count – 1–3
• Retry Delay – Short delay (e.g., 30 seconds)

Step 5: Set Notifications

Notification Options:

• Email Alerts – To team inbox
• Webhooks – Slack, Teams, custom alerting
• Failure Criteria – Trigger on invalid responses, assertion failures, or missing validations

Save the monitor → it now executes robustness tests automatically.

📊 Viewing Results

Result Components:

• Run History – Timeline of monitor runs with pass/fail results
• Detailed Logs – For each request and validation failure (e.g., “user_id=abc did not return 400 Bad Request”)
• Visual Graphs:
  • Pass vs Fail Trend: Stability of robustness tests over time
  • Failure Types: Data type vs invalid values
  • Response Times: Spot degraded performance under invalid load

🏥 Tracking Robustness Health

Monitoring extends robustness testing into continuous validation:

• Failure Patterns – Detect repeated mishandling of edge cases
• Data Validation Checks – Ensure new changes don’t weaken validation
• Error Stability – Confirm APIs consistently return the right error responses
• Regression Alerts – Triggered immediately if new deployments allow invalid inputs

📖 Example Workflows

Example 1: Invalid Data Inputs

• Suite includes tests for negative page numbers and invalid dates
• Monitor runs daily
• Alerts if API stops rejecting these invalid inputs

Example 2: Data Type Validation

• Suite checks integer fields with strings and floats
• Monitor runs every hour
• Detects if validation rules are bypassed after a schema change

Example 3: Robustness Regression Guard

• Suite tests for special characters in title and nonexistent IDs
• Monitor runs every 5 minutes in production
• Alerts if APIs start accepting or crashing on invalid values

✅ Best Practices

• Environment-specific monitors – Separate Dev, QA, and Production
• Small focused suites – Create monitors for login, payments, or search robustness separately
• Retries enabled – Avoid false alarms from transient errors
• Integrate alerts with Slack/Teams for immediate visibility
• Review trends weekly to track input validation consistency

🎯 Benefits

• Ensures APIs handle invalid or unexpected inputs continuously
• Detects regressions in input validation after deployments
• Improves reliability by validating error responses automatically
• Helps maintain resilient APIs across environments

✅ Summary

Robustness Testing with Monitoring ensures that APIs not only work in the happy path but remain reliable and predictable under invalid and unexpected conditions. By continuously running robustness tests on a schedule, you can detect vulnerabilities early, maintain validation standards, and ensure your APIs remain resilient across all environments.

Happy testing! 🚀