Many aspiring tech professionals want to know how to become a DevOps Engineer but worry that they need expert-level coding skills before getting started. While programming is useful, beginners can begin their DevOps journey by learning Linux, cloud platforms, scripting, automation tools, and CI/CD concepts.
As you gain experience, you can gradually improve your coding skills while building the practical knowledge required for a successful DevOps career.
A DevOps Engineer manages the tools, systems, and processes that help software teams build, test, and deploy applications efficiently. The role combines knowledge of operating systems, cloud platforms, automation, networking, and monitoring to improve collaboration between development and operations teams.
The day-to-day responsibilities of an engineer focus heavily on system health, deployment pipelines, and collaboration. When exploring how to become a DevOps engineer, understanding these daily routines helps set realistic expectations for your career.
Monitoring System Performance: Checking dashboards to ensure servers run efficiently and applications remain accessible to users.
Troubleshooting Deployment Failures: Reviewing log files to identify why an application failed to update or crashed during a release.
Managing CI/CD Pipelines: Ensuring that software automated pipelines move code smoothly from development environments to live servers.
Collaborating with Teams: Acting as a bridge between software developers who write code and operations teams who maintain hardware.
Transitioning into this field requires a structured learning path that builds foundational IT knowledge before moving to advanced automation. If you are figuring out how to become a DevOps engineer, following a step-by-step approach ensures you do not get overwhelmed by the vast array of available tools.
All computing infrastructure is built on operating systems. You need to understand how hardware resources interact with software applications to manage environments properly.
Linux Fundamentals: Most cloud servers run on Linux. Master file management, permissions, and command-line navigation.
Process Management: Learn how systems boot, manage memory, and handle background processes.
Windows Server: Understand Active Directory and server configurations for enterprise environments.
Infrastructure management relies heavily on the secure connection of various services. Without a good understanding of networking, troubleshooting deployment errors will be nearly impossible.
Protocols: Study how data travels across the internet using HTTP, HTTPS, FTP, and SSH.
IP Addressing: Master subnetting, public versus private IP addresses, and Domain Name System (DNS) configurations.
Security Basics: Learn about firewalls, Secure Sockets Layer (SSL) certificates, and basic encryption methods to protect data.
Modern infrastructure lives in the cloud, making cloud competency non-negotiable for anyone following a DevOps career roadmap. These platforms replace traditional physical hardware with virtual alternatives.
Amazon Web Services (AWS): The most widely used cloud platform, offering virtual servers, databases, and storage.
Microsoft Azure: Popular in corporate environments that rely heavily on Windows integration.
Google Cloud Platform (GCP): Known for its strong data analytics and container management capabilities.
The table below highlights the core services across major cloud providers that beginners should focus on:
|
Cloud Provider |
Virtual Servers |
Object Storage |
Managed Databases |
|
AWS |
EC2 |
S3 |
RDS |
|
Microsoft Azure |
Virtual Machines |
Blob Storage |
Azure SQL |
|
GCP |
Compute Engine |
Cloud Storage |
Cloud SQL |
Automation eliminates manual intervention, reduces human error, and speeds up software delivery. Beginners should focus on tools that use simple, human-readable configuration files rather than complex programming languages.
Git and GitHub: Version control systems that track code changes and manage collaboration among team members.
Jenkins: An open-source automation server used to compile code, run tests, and deploy applications automatically.
Ansible: A configuration management tool that uses YAML, a straightforward language, to configure servers without complex coding.
Docker: A containerisation platform that packages applications and their dependencies together, ensuring consistent performance across different environments.
Kubernetes: An orchestration platform used to manage, scale, and automate containerised applications across clusters of servers.
Instead of manually clicking through cloud consoles to create servers, professionals use text files to define infrastructure. This practice is known as Infrastructure as Code (IaC) and is a vital pillar of modern IT operations.
Step 1: Learn how to write basic configuration files using declarative languages like YAML or JSON.
Step 2: Master Terraform, an industry-standard tool that allows you to deploy entire cloud networks using simple configuration scripts.
Step 3: Store your infrastructure files in Git to track changes, roll back errors, and collaborate with other team members easily.
The short answer is yes, you can begin your journey into DevOps without prior coding experience. Many professionals enter the field from system administration, technical support, or quality assurance backgrounds. In the initial stages, your primary focus rests on managing infrastructure, configuring networks, and maintaining servers rather than writing software applications.
But to get into the field without knowing how to program takes a strategy. Instead of mastering complicated software development logic, beginners concentrate on configuration management and automation scripts. Learning how systems interact is far more important in the beginning than learning how to build an application from scratch.

