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Starting Your DevOps Journey: What to Learn First

Begin with command-line basics and Git, automate a check, deploy a small application, and learn monitoring as part of the same delivery cycle.
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Start with the foundations that connect software changes to reliable services: learn basic command-line work and Git, automate a check, deploy a small application, then observe how it behaves. DevOps is not one job title or a required bundle of tools; it is a collaborative way of building, delivering, and operating software.

What DevOps means for a beginner

AWS describes DevOps as “the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity.” In practical terms, development and operations collaborate across the software lifecycle rather than treating coding, deployment, and service operation as isolated tasks. AWS’s explanation of DevOps and Microsoft’s overview both connect the work to collaboration and delivery practices.

That lifecycle can include tracking source changes, integrating and testing them, packaging software, deploying it, managing infrastructure, and monitoring the running service. Tools support those practices; no single tool or cloud provider defines DevOps.

What should you learn first?

1. Command-line basics and version control

Learn to navigate files, run commands, and understand how an application is started. Then use Git to record changes, compare revisions, and recover earlier work. Version control is a practical foundation for collaboration and for automating later steps; it also gives you a clear history of what changed.

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2. Automated integration and delivery

Next, learn what happens when code changes are shared: a workflow can run checks, build an artifact, and support a repeatable deployment. Focus on the idea of continuous integration and delivery (CI/CD)—automating parts of the path from code change to release—before trying to learn several competing tools.

Microsoft’s DevOps foundations learning path includes source control and CI/CD with GitHub Actions. That is one concrete route through the concepts, not a requirement to use GitHub Actions in every environment.

3. Infrastructure as code and deployment

Once you can automate checks, learn how applications and the resources they depend on are deployed. Infrastructure as code (IaC) means describing and managing infrastructure through code, so changes can be reviewed and repeated using practices familiar from software development, including version control and continuous integration. AWS outlines this approach in its DevOps explanation.

4. Monitoring, containers, and cloud services as needed

After deployment, learn how to tell whether a service is running properly: inspect logs and basic monitoring, and understand how you would respond when something goes wrong. Containers and cloud services are useful parts of many workflows, but you do not need to master every named technology before making a first project. Add them when they solve a problem in the application you are building.

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Build one small project through the whole delivery cycle

A modest web application or static site is enough to practice the connections between these topics. Keep the project small so you can complete the cycle rather than getting stuck configuring a large stack.

  1. Put the source in a Git repository and make a small change you can review in the change history.
  2. Add an automated check or test to a CI workflow, and confirm that it runs when you update the code.
  3. Package or deploy the application using one platform you have chosen.
  4. Where it makes sense, describe configuration or infrastructure in a repeatable way rather than relying only on undocumented manual steps.
  5. After deployment, check that the service is running and inspect its logs or basic monitoring.

This is a learning exercise, not a guarantee of job readiness. Its value is that it lets you see how source control, automation, deployment, infrastructure, and operations relate in one working example.

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Choose a learning path without locking yourself into a stack

Vendor training can provide a structured route through a platform’s services. Compare options by what you want to learn and practice, rather than treating a provider’s tool names as universal prerequisites.

  • Learning goal: Decide whether you first want transferable workflow concepts or deeper knowledge of one cloud provider.
  • Transferability: Look for practice with source control, automated checks, repeatable changes, deployment, and operating a service—not only navigation through a vendor interface.
  • Coverage: Check whether the path addresses the areas you need, such as CI/CD, infrastructure, security, deployment, monitoring, and feedback.
  • Access and cost: Check current requirements and charges directly with the provider; the pages linked here do not establish a cost comparison.

AWS’s DevOps Engineering Learning Plan is a self-paced vendor learning resource intended to build capabilities for deploying, managing, and monitoring cloud applications. Microsoft provides role-based DevOps training and its foundations path names GitHub Actions and Bicep. These are distinct platform-oriented options, not evidence that either stack is best for every learner.

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What not to assume

  • There is no single fixed list of tools that every beginner must learn. Pick a small set that lets you complete one delivery cycle.
  • The vendor learning pages describe their own training and platform examples; they do not establish an independent ranking of courses or providers.
  • The cited learning-path pages do not establish that completing a course, earning a certification, or following a particular sequence guarantees a job.
  • You do not need to buy special hardware to begin with the learning approach described here; the cited resources focus on digital training and software or cloud topics, not required physical equipment.

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