What is DevOps? A Practical Guide for IT & Networking Professionals

DevOps in Plain English

DevOps is not a tool. It is not a job title. It is a culture and set of practices that bring software development (Dev) and IT operations (Ops) teams together to deliver software faster and more reliably.

In traditional IT, developers write code and "throw it over the wall" to operations, who deploy and maintain it. This creates silos, blame games, and slow release cycles. DevOps breaks down those walls so the same team is responsible for building, deploying, and running software — with heavy automation at every step.

Why Networking Engineers Should Care

You might be thinking: "I manage routers and switches — what does software delivery have to do with me?" More than you'd expect:

• Modern networks are software-defined — SDN, NFV, and cloud networking mean infrastructure is increasingly managed through code (Terraform, Ansible)
• Network automation is DevOps applied to infrastructure — CI/CD pipelines for network configs, Git for version-controlling device configs
• Cloud networking (AWS VPC, Azure VNet) is built and managed with DevOps tools, not CLI
• Employers are merging NetOps and DevOps roles into "NetDevOps" or "Cloud Network Engineer"

The DevOps Lifecycle

DevOps is often depicted as an infinite loop with eight phases:

1. Plan — Define what you are building (Jira, Trello)
2. Code — Write application or infrastructure code (Git, GitHub)
3. Build — Compile and package the code (Maven, Docker)
4. Test — Automated testing (Selenium, pytest, Terratest)
5. Release — Approve and tag the release
6. Deploy — Push to production (Jenkins, GitHub Actions, ArgoCD)
7. Operate — Keep it running (Kubernetes, Terraform, Ansible)
8. Monitor — Watch performance and catch issues early (Prometheus, Grafana, CloudWatch)

Core DevOps Tools You Need to Know

• Git & GitHub — Version control for code and config files. Non-negotiable.
• Docker — Package applications and their dependencies into containers
• Kubernetes — Orchestrate containers at scale
• Terraform — Infrastructure as Code (IaC) — provision AWS, Azure, GCP resources with code
• Ansible — Automate configuration management across servers and network devices
• Jenkins / GitHub Actions — CI/CD pipelines to automate build, test, deploy
• Prometheus + Grafana — Monitor infrastructure and create dashboards

DevOps on AWS: The Most In-Demand Combination

AWS is the most popular cloud platform and provides its own DevOps toolchain: CodeCommit (Git), CodeBuild, CodeDeploy, and CodePipeline. Understanding how to build CI/CD pipelines on AWS while managing infrastructure with Terraform and Ansible is the skill combination employers pay most for in 2025.

Average DevOps Salaries

• India: ₹10–22 LPA for DevOps Engineer; ₹18–35 LPA for Senior DevOps/SRE
• Canada/USA: USD $95,000–$160,000 for DevOps Engineer

How to Transition into DevOps

1. Start with Linux — All DevOps tools run on Linux. Be comfortable on the command line.
2. Learn Git — Commit daily. Understand branching, merging, pull requests.
3. Get an AWS certification — AWS Cloud Practitioner or SAA shows you understand the platform.
4. Learn Docker and Kubernetes — Most applications are containerised; know how to build and deploy them.
5. Write Infrastructure as Code — Provision an EC2 instance and VPC with Terraform from scratch.
6. Build a pipeline — Create a GitHub Actions workflow that tests and deploys an app automatically.

You do not need to master everything at once. Pick one tool, build something real with it, then move to the next. Progress over perfection.