Liam Hurrell & Jan Kunzmann
Implementing smoke testing and proactive monitoring in production
#1about 3 minutes
Defining smoke testing for critical functionality
Smoke testing provides rapid, cost-effective feedback on critical application functionality by running a wide but shallow set of end-to-end tests.
#2about 5 minutes
The importance of continuous testing in production
Running automated tests continuously against the production environment, not just staging, provides ultimate confidence in site reliability and protects core business workflows.
#3about 8 minutes
Implementing smoke tests in your deployment lifecycle
Integrate smoke tests to run immediately after deployments and at regular intervals using automated, cloud-based solutions for consistent feedback.
#4about 4 minutes
Identifying critical user flows for smoke testing
Focus tests on essential user journeys such as login, registration, adding items to a cart, and verifying both internal and third-party API endpoints.
#5about 4 minutes
Automating web tests with synthetic monitoring
Synthetic monitoring uses automated scripts from global locations to proactively test availability, functionality, and performance before users are impacted.
#6about 15 minutes
Creating availability and performance monitors
Set up basic ping monitors to check endpoint availability and simple browser monitors to capture detailed performance waterfalls for key pages.
#7about 17 minutes
Writing a scripted API test with Node.js
Use a Node.js environment to write custom scripts that make HTTP requests to API endpoints and assert that the responses are valid.
#8about 14 minutes
Simulating user journeys with scripted browser tests
Build end-to-end user simulations with Selenium-based scripts that navigate pages, find elements, and perform actions like clicking buttons.
#9about 6 minutes
Using no-code tools to create test scripts
Accelerate test creation by using a step-by-step builder in the UI or by recording user interactions with the Selenium IDE browser extension.
#10about 6 minutes
Visualizing test results with dashboards and reports
Use a query language like NRQL to build dashboards that track success rates and error types, and configure alert policies to get notified of failures.
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