GlossaryTrigger

Trigger

A trigger is an event or condition that automatically starts a process, such as a test run after a commit, pull request, deployment, or scheduled time.

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What Does Trigger Mean?

A trigger is an initiating event or condition that automatically starts a process, task, or workflow. In testing, triggers decide when and how tests run.

Common triggers include a code commit, a pull request, a deployment, or a scheduled time. Triggers keep testing consistent without manual intervention.

Common Types of Test Triggers

Trigger Type What Starts It Typical Use
Code event Commit, push, or pull request Fast unit and API checks on every change
Pipeline event A CI/CD build or merge completes Integration tests before promotion
Deployment event A new release reaches an environment Smoke and end-to-end tests after deploy
Schedule A cron expression or fixed interval Nightly regression and recurring health checks
Webhook or API call An HTTP request from another system On-demand runs from scripts or tools
Infrastructure event A Kubernetes resource changes Validating services after config or scaling changes

Why Triggers Matter

Triggers are the foundation of continuous testing and automation. They connect development, CI/CD pipelines, and testing systems by:

  • Running tests automatically at key points in the lifecycle
  • Reducing manual effort and human error
  • Speeding up feedback after code changes
  • Maintaining continuous validation across environments
  • Catching regressions early in the release process

Reliable triggers align testing cadence with development velocity and deployment frequency.

How Triggers Work with Testkube

  • CI/CD integrations: GitHub Actions, GitLab CI, or Jenkins can trigger tests after merges or builds.
  • Webhooks: External systems send HTTP requests to start specific tests or workflows.
  • API and CLI: Developers and scripts trigger executions through the Testkube API or CLI.
  • Scheduled triggers: Cron-based schedules run tests on recurring intervals.
  • Kubernetes events: Changes to cluster resources, such as a deployment update, can start tests.
  • GitOps workflows: New commits or configuration changes in Git can start test runs automatically.

Real-World Example

A B2B SaaS team wants every layer of testing to run at the right moment. They configure four Testkube triggers:

  1. Pull request: GitHub Actions starts API tests on every pull request.
  2. Deployment: a Kubernetes event starts smoke tests when staging updates.
  3. Schedule: a nightly cron runs the full end-to-end suite.
  4. Webhook: the release tool calls Testkube to run load tests before production.

No one has to remember to run tests, and each change gets the right level of validation.

Best Practices for Test Triggers

  • Match tests to triggers: Run fast tests on commits and heavier suites on deployments or schedules.
  • Avoid duplicate triggers: Overlapping triggers waste resources and create noisy results.
  • Secure webhook endpoints: Require tokens so only trusted systems can start runs.
  • Decouple triggers from pipelines: Let any system start the same workflow without copying test logic.
  • Monitor triggered runs: Track which triggers fire and how often tests fail after each.

Frequently Asked Questions (FAQs)

What is a trigger in testing?

A trigger is an event or condition that automatically starts a test run. Examples include a commit, pull request, deployment, schedule, or API call.

What are the most common test triggers?

Code pushes, pull requests, completed builds, deployments, and cron schedules are the most common. Webhooks and API calls cover on-demand runs from other systems.

What is the difference between a trigger and a schedule?

A schedule is one type of trigger based on time. Other triggers react to events, such as a commit or a deployment.

How does Testkube trigger tests?

Testkube runs tests from CI/CD tools, webhooks, its API and CLI, cron schedules, and Kubernetes events. The same workflow can be started by any of them.

Can one test workflow have multiple triggers?

Yes. A single workflow can run on pull requests, on a schedule, and after deployments. This avoids copying test logic into multiple pipelines.

Related Terms and Concepts

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