Operations 9 min read

Essential Skills and Tools for Learning DevOps

DevOps combines development and operations practices, requiring knowledge of software development concepts, Linux, networking, containerization, CI/CD pipelines, cloud platforms, orchestration, monitoring, infrastructure as code, scripting, and version control, with tools such as Jenkins, Docker, Kubernetes, Terraform, Prometheus, and Git.

DevOps Engineer
DevOps Engineer
DevOps Engineer
Essential Skills and Tools for Learning DevOps

What does DevOps actually mean?

DevOps is a software development approach that involves continuous development, testing, integration, deployment, and monitoring. It bridges the traditionally isolated development and operations teams, aiming to remove barriers between them.

Consequently, a DevOps engineer works closely with both Development and Operations teams, acting as the link between these two main parts.

Concepts and Tools

DevOps includes concepts such as build automation, CI/CD, and Infrastructure as Code, supported by many tools that can be overwhelming. Understanding the concepts first and then learning a specific tool for each category makes it easier to adopt alternative tools later.

Below are the key skill areas a DevOps practitioner should master.

1) Software Development Concepts

Although a DevOps engineer does not usually write application code, they must understand the development workflow to automate and improve tasks.

How developers work

The Git workflow they use

Application configuration

Automated testing

2) Operating Systems

DevOps engineers prepare the underlying infrastructure for deploying applications, most often on Linux servers, and therefore need to be comfortable with the command line.

Basic shell commands

Linux file system

Fundamentals of server management

SSH key management

Installing various tools on servers

3) Networking and Security

Basic networking and security knowledge is required to configure infrastructure.

Configuring firewalls

Understanding IP addresses, ports, and DNS

Load balancers

Proxy servers

HTTP/HTTPS

Advanced system administration knowledge is not required; understanding the basics is sufficient.

4) Containerization

With containers becoming the standard, you should grasp:

Virtualization concepts

Container concepts

Docker – the most popular container technology

5) Continuous Integration and Deployment

All code changes should be integrated and automatically deployed via a CI/CD pipeline, which typically:

Runs tests

Packages the application

Builds Docker images

Pushes images to an artifact repository

Deploys the new version to servers (dev, test, or production)

Key tasks include setting up a CI/CD server, using build and package tools, and configuring artifact repositories such as Nexus or Artifactory.

Popular CI/CD tools include Jenkins, Bamboo, GitLab, TeamCity, CircleCI, and Travis CI.

6) Cloud Providers

Many companies use virtual infrastructure on the cloud (IaaS). For AWS, you should know:

IAM – user and permission management

VPC – private networking

EC2 – virtual servers

EKS – Kubernetes on AWS (if applicable)

AWS is the most widely used but also the most complex; other major providers are Azure, Google Cloud, Alibaba Cloud, and Tencent Cloud.

7) Container Orchestration

Large deployments require orchestration tools; Kubernetes is the most popular.

How Kubernetes works

Managing Kubernetes clusters

Deploying applications on Kubernetes

Learning Kubernetes is essential.

8) Monitoring and Log Management

After software goes into production, monitoring performance and infrastructure is crucial.

Setting up application monitoring

Setting up infrastructure monitoring (e.g., for Kubernetes clusters)

Common tools include Prometheus and Grafana.

9) Infrastructure as Code

Manual infrastructure management is time‑consuming and error‑prone. IaC automates creation and configuration using code.

Infrastructure provisioning (e.g., Terraform)

Configuration management (e.g., Ansible, Puppet, Chef)

Knowing at least one tool in each category improves efficiency and collaboration.

10) Scripting Languages

DevOps engineers frequently write scripts to automate tasks. Useful languages include:

OS‑specific scripts: Bash, PowerShell

Cross‑platform languages: Python, Go (also Node.js, Ruby)

Python is currently the most in‑demand due to its readability and extensive libraries.

11) Version Control

All automation code and configuration files should be managed with a version‑control system such as Git.

Git is the most popular and widely adopted tool.

CI/CDDevOpscloudcontainersInfrastructure as Code
DevOps Engineer
Written by

DevOps Engineer

DevOps engineer, Pythonista and FOSS contributor. Created cpp-linter, commit-check, etc.; contributed to PyPA.

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