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Infrastructure testing

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

Infrastructure testing is the automated verification of infrastructure configuration and behavior against expected conditions.

Infrastructure testing is the automated verification of infrastructure configuration and behavior against expected conditions. It catches failed changes before production, reduces change failure, and builds confidence in infrastructure updates. section 6.0

Manual checks become expensive and incomplete as networks and dependent resources grow. Automation turns repeatable checks into scripts that can run after each infrastructure change. section 6.0

A practical infrastructure-testing flow is:

  • Represent the infrastructure change and automation under source control. section 1.2.1
  • Create temporary or virtual resources that exercise the intended configuration. section 1.2.1 section 6.0
  • Check health, connectivity, and connections to existing networks or services. section 1.2.1 section 6.0
  • Promote the change only after the checks pass; use configuration records to investigate affected applications when they fail. section 1.2.1

Testing a new network segment

An automated script creates a server on the new segment, verifies its connectivity, and tests connections to existing networks. The same checks can run for later changes instead of repeating hours of manual verification. section 6.0

Figure 6.1 Manual testing may require lower effort initially, but as the number of infrastructure resources in your system increases, that effort increases. Automated testing takes a high initial effort that decreases as you grow your system.

Compare the rising effort of manual testing with the higher initial investment and improving scalability of automated testing. section 6.0

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

How deep it goes
Defines manual and automated checks, explains scaling trade-offs, and stops short of tool-specific implementation.
Examples
Uses network segments, servers, connectivity checks, virtual switches, and interface health checks.
What it assumes
Assumes codified infrastructure and automated change workflows while explaining testing rationale from operational failures.
What you can do after
Apply it via automated scripts that create test resources, verify connectivity, and gate production promotion.
How it connects
Connects infrastructure as code with source control, configuration management, and provisioning.

Related concepts

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.