Smoke test

Q: How deeply does Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform cover smoke test?

Defines the test and gives infrastructure scenarios, but stops short of detailing a complete smoke-test suite.

As explained in Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform

A small, rapid set of tests that checks whether critical functionality remains operational after a change.

A smoke test is a small, rapid end-to-end test that checks whether a change has broken critical business functionality. Run it before slower, broader testing so catastrophic failures are found quickly. section 6.5

Apply smoke tests to operationally important workflows:

Check network peering by provisioning a server on each network and verifying connectivity. section 6.5
Submit a job to a workload orchestrator and verify that it completes. section 6.5
Issue HTTP requests with varying payloads to confirm that upstream services can call the application. section 6.5

Cloud Run deployment check

A pytest fixture can create a GCP Cloud Run service, test its public URL, and delete the service from a testing environment. Against production, test existing active infrastructure instead of creating or deleting resources. section 6.5

How Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform covers it

Cover of Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform

liveBook manning.com

Read Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform on liveBook Get the book at manning.com

Also explained in

liveBook manning.com

Effective Platform EngineeringA smoke test is a shallow test that checks whether a system or service is broadly operational before deeper testing.
liveBook manning.com

Machine Learning System DesignA preliminary test that checks whether a system or component operates sufficiently to warrant further testing.
liveBook manning.com

Learn Docker in a Month of Lunches, Second EditionA smoke test is a short, focused test that checks whether a software build or deployment performs its essential functions.

Compare how 4 books explain smoke test →

Related concepts

end-to-end testingkind of · End-to-end testing evaluates a complete system workflow across integrated components, from an external or user-relevant input to an observable outcome.
CPUuses · A central processing unit (CPU) is a general-purpose processor that executes computer instructions and performs computational operations.
Docker Composeuses · Docker Compose is a tool for defining and running applications composed of multiple containers through declarative configuration.
misconfigurationaddresses · A misconfiguration is an incorrect, unsuitable, or insufficiently restrictive system or application setting that causes unintended behavior, operational problems, or security exposure.
pipelineuses · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
baselineequivalent to · A baseline is a reference value, model, condition, or performance level used to evaluate or compare measurements, outcomes, or methods.

This explainer was generated by Manning's knowledge graph from the text of Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform. The section links point to the parts of the book it draws on.