Automation

Automation is the practice of using technology to perform tasks or processes with minimal human intervention, typically through scripts, tools, or systems. It aims to increase efficiency, reduce errors, and free up human resources for more complex work by automating repetitive, time-consuming, or error-prone activities. In software development, this often involves automating build, test, deployment, and infrastructure management tasks.

Also known as: Automated processes, Scripting, Task automation, Process automation, Auto

🧊Why learn Automation?

Developers should learn automation to streamline workflows, improve code quality, and accelerate delivery cycles, especially in DevOps and CI/CD environments. It is crucial for automating testing (e.g., unit tests), deployment pipelines, and infrastructure provisioning, reducing manual effort and ensuring consistency across development, staging, and production environments. Use cases include automating software builds, running automated tests, deploying applications, and managing cloud resources.

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Compare Automation

Automation vs Manual Processes→Automation vs Semi Automation→Automation vs Human Intervention→

Learning Resources

Automation in DevOps: A Practical Guide

Automation with Python: Automate the Boring Stuff

Introduction to Automation on Coursera

Automation Testing Tutorial for Beginners

What is Automation? Explained in 5 Minutes

Related Tools

Continuous Integration Continuous Deployment Scripting Devops Test Automation

Alternatives to Automation

Manual Processes Semi Automation Human Intervention

Other Automation

360 Degree Feedback

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Academic Learning

Academic Learning refers to the structured, theory-based approach to education and skill development, typically associated with formal institutions like universities and colleges. It emphasizes foundational knowledge, research, critical thinking, and theoretical understanding, often through courses, lectures, and academic assessments. This methodology is used to build a deep, systematic understanding of subjects, preparing individuals for advanced study or specialized professional roles.

Academic Programming

Academic Programming refers to the practice of writing code in an educational or research context, emphasizing clarity, correctness, and pedagogical value over production efficiency. It involves using programming to teach concepts, conduct experiments, or develop proofs, often in fields like computer science, mathematics, or engineering. This approach prioritizes learning outcomes, reproducibility, and theoretical understanding, typically with simpler tools and languages suited for instruction.