Advanced Topic 43 of 51 Distributed Systems & Cloud
Infrastructure as Code
Defining infrastructure through versioned declarative files.
How it works
Infrastructure as code manages and provisions infrastructure through machine-readable definition files instead of manual configuration. Declarative tools such as Terraform, CloudFormation and Pulumi describe the desired end state of resources like networks, servers and databases and compute the changes needed, while configuration tools such as Ansible, Chef and Puppet configure software on machines. Code lives in version control with review, testing and automated pipelines, giving repeatability, audit trails and quick environment recreation.
Where it is used
Creating identical staging and production environments, disaster recovery, multi-region deployment and policy enforcement use infrastructure as code.
Common pitfall
State files can drift from reality when people change resources manually, and corrupted or leaked state exposes secrets. Large monolithic configurations are slow and risky; split them into modules. Destroying resources by accident through bad plans is a hazard, so review plans and use protection flags. Store secrets safely, lock state and test changes in a sandbox first.
Where it fits in the course
Infrastructure as Code is topic 43 of 51 in Distributed Systems & Cloud, rated Advanced. It follows Serverless Computing. The next topic is Auto Scaling.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
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Related topics
- Serverless Computing (Distributed Systems & Cloud)
- Auto Scaling (Distributed Systems & Cloud)
- Kubernetes (Distributed Systems & Cloud)
- Rate Limiting (Distributed Systems & Cloud)
- Code Style and Readability (Software Engineering)
- Code Reviews (Software Engineering)
- Public Key Infrastructure (Security & Cryptography)