Question 1

Primary Use Case: Ansible vs Terraform

Accepted Answer

Ansible: Configuration management, application deployment, and orchestration. Manages what runs ON servers. Imperative/procedural approach. | Terraform: Infrastructure provisioning. Creates the servers, networks, and cloud resources themselves. Declarative approach.

Question 2

State Management: Ansible vs Terraform

Accepted Answer

Ansible: Stateless — no state file. Idempotent modules check current state on each run. Simpler but slower for large environments. | Terraform: Stateful — maintains a state file mapping resources to real infrastructure. Enables plan/apply workflow and drift detection.

Question 3

Agent Requirements: Ansible vs Terraform

Accepted Answer

Ansible: Agentless — communicates over SSH (Linux) or WinRM (Windows). Only needs Python on target hosts. | Terraform: No agents needed. Communicates with cloud APIs directly. No target host requirements.

Question 4

Language: Ansible vs Terraform

Accepted Answer

Ansible: YAML playbooks with Jinja2 templating. Easy to read and write. Modules abstract complexity. | Terraform: HCL (HashiCorp Configuration Language). Declarative DSL designed for infrastructure. Resources, data sources, and modules.

Question 5

Cloud Provider Support: Ansible vs Terraform

Accepted Answer

Ansible: Cloud modules for AWS, Azure, GCP, and others. Less comprehensive than Terraform for cloud resource management. | Terraform: 3,000+ providers. Best-in-class cloud resource management. Providers maintained by cloud vendors themselves.

Question 6

When to Use Both: Ansible vs Terraform

Accepted Answer

Ansible: Use Ansible AFTER Terraform provisions infrastructure — configure OS, deploy apps, manage packages, and orchestrate services. | Terraform: Use Terraform FIRST to create cloud infrastructure — VPCs, instances, databases, load balancers, DNS records.

Criteria	Ansible	Terraform
Primary Use Case	Configuration management, application deployment, and orchestration. Manages what runs ON servers. Imperative/procedural approach.	Infrastructure provisioning. Creates the servers, networks, and cloud resources themselves. Declarative approach.
State Management	Stateless — no state file. Idempotent modules check current state on each run. Simpler but slower for large environments.	Stateful — maintains a state file mapping resources to real infrastructure. Enables plan/apply workflow and drift detection.
Agent Requirements	Agentless — communicates over SSH (Linux) or WinRM (Windows). Only needs Python on target hosts.	No agents needed. Communicates with cloud APIs directly. No target host requirements.
Language	YAML playbooks with Jinja2 templating. Easy to read and write. Modules abstract complexity.	HCL (HashiCorp Configuration Language). Declarative DSL designed for infrastructure. Resources, data sources, and modules.
Cloud Provider Support	Cloud modules for AWS, Azure, GCP, and others. Less comprehensive than Terraform for cloud resource management.	3,000+ providers. Best-in-class cloud resource management. Providers maintained by cloud vendors themselves.
When to Use Both	Use Ansible AFTER Terraform provisions infrastructure — configure OS, deploy apps, manage packages, and orchestrate services.	Use Terraform FIRST to create cloud infrastructure — VPCs, instances, databases, load balancers, DNS records.

Verdict