Infrastructure as Code vs Manual Deployment Settings

Developers should learn Infrastructure as Code to achieve faster, more reliable, and scalable infrastructure deployments, especially in cloud-native and microservices environments meets developers should learn manual deployment settings for understanding deployment fundamentals, troubleshooting automated systems, or working in environments with limited resources. Here's our take.

Infrastructure as Code

Nice Pick

Developers should learn Infrastructure as Code to achieve faster, more reliable, and scalable infrastructure deployments, especially in cloud-native and microservices environments

Pros

• It is crucial for automating repetitive tasks, ensuring consistency across development, staging, and production environments, and enabling infrastructure to be treated as a disposable resource
• Related to: terraform, ansible

Cons

• Specific tradeoffs depend on your use case

Manual Deployment Settings

Developers should learn manual deployment settings for understanding deployment fundamentals, troubleshooting automated systems, or working in environments with limited resources

Pros

• It is useful in small teams, proof-of-concept projects, or when dealing with highly customized or legacy infrastructure that lacks automation support
• Related to: continuous-integration, continuous-deployment

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Infrastructure as Code if: You want it is crucial for automating repetitive tasks, ensuring consistency across development, staging, and production environments, and enabling infrastructure to be treated as a disposable resource and can live with specific tradeoffs depend on your use case.

Use Manual Deployment Settings if: You prioritize it is useful in small teams, proof-of-concept projects, or when dealing with highly customized or legacy infrastructure that lacks automation support over what Infrastructure as Code offers.

The Bottom Line

Infrastructure as Code wins

Developers should learn Infrastructure as Code to achieve faster, more reliable, and scalable infrastructure deployments, especially in cloud-native and microservices environments