What Is DevOps? How It Works and Why It Matters

If you combine the words development and operations, you get DevOps. But DevOps is much more than a combination of two job functions.

DevOps is an approach to building, delivering, and operating software that brings development and IT operations closer together. It combines collaboration, shared responsibility, automation, continuous feedback, and technical practices that help teams deliver software more efficiently and reliably.

It is not a piece of software that you can download. It is also not a single tool, job title, or certification.

Instead, DevOps affects how people, processes, and technology work together throughout the software lifecycle. Microsoft describes DevOps similarly as the combination of people, processes, and technology across application planning, development, delivery, and operations. 

What Does DevOps Mean?

Traditionally, development and operations teams often worked separately.

Developers focused on building new applications and features. Operations teams were responsible for deploying, maintaining, monitoring, and troubleshooting those applications once they entered production.

That separation could create delays.

A development team might finish a feature and hand it over to operations. Operations might then discover problems with deployment, configuration, security, or infrastructure. The issue would go back to development, creating another round of changes.

DevOps reduces those barriers by encouraging the teams involved in building and running technology to work together throughout the process instead of waiting for a handoff at the end.

That can include:

• Software developers
• Systems administrators
• Systems engineers
• Cloud engineers
• Operations teams
• Quality assurance professionals
• Security professionals

The exact structure varies by organization. DevOps does not necessarily mean everyone becomes part of one department. The important part is that teams share information, responsibility, feedback, and processes.

How Does DevOps Work?

DevOps connects different stages of the software lifecycle instead of treating each stage as an isolated process.

A simplified DevOps workflow may look like this:

Plan → Develop → Test → Release → Deploy → Operate → Monitor → Improve

Feedback from one stage influences what happens next.

For example, monitoring may reveal that an application is performing poorly after an update. Instead of that information remaining only with the operations team, it can quickly reach developers so the problem can be investigated and corrected.

Then the cycle continues.

The goal is not simply to release software faster. It is to make software delivery more repeatable, collaborative, responsive, and reliable.

Red Hat describes DevOps as focusing on areas including culture, automation, platform design, and continuous feedback to improve service delivery. 

Core DevOps Practices

DevOps is a broad approach rather than one specific process, but several practices are commonly associated with it.

Continuous Integration and Continuous Delivery

Continuous Integration, or CI, allows developers to regularly merge changes into a shared codebase while automated processes test those changes.

This can help teams identify problems earlier instead of waiting until a large release.

Continuous Delivery, or CD, helps teams prepare and move tested changes through the delivery process in a repeatable way.

Together, these practices are commonly referred to as CI/CD.

But CI/CD and DevOps are not the same thing. CI/CD is one set of practices that can support a broader DevOps approach.

Automation

Automation is another major component of DevOps.

Teams can automate repetitive tasks such as:

• Testing
• Software builds
• Deployments
• Infrastructure provisioning
• Configuration
• Monitoring
• Security checks

Automation can reduce manual work while making processes more consistent and repeatable.

Infrastructure as Code

Instead of configuring servers and infrastructure manually every time, teams can define infrastructure using code.

This practice is called Infrastructure as Code, or IaC.

The infrastructure configuration can then be versioned, reviewed, repeated, and automated much like application code.

Version Control

DevOps teams commonly use version control systems such as Git to track changes.

Version control gives teams a history of what changed, who changed it, and when it changed.

It also makes collaboration easier when several people are working on the same systems or applications.

Monitoring and Feedback

Deploying an application is not the end of the process.

Teams need visibility into how applications and infrastructure behave after deployment.

Monitoring can reveal:

• Performance problems
• Errors
• Outages
• Infrastructure issues
• Unexpected behavior

That information creates another feedback loop that helps development and operations teams decide what needs to be fixed or improved.

Microsoft includes continuous monitoring, version control, CI/CD, configuration management, and infrastructure as code among common DevOps practices.

What DevOps Is Not

Because DevOps covers so many technologies and responsibilities, several misconceptions have developed around it.

DevOps Is Not Just CI/CD

CI/CD is an important DevOps practice, but setting up a CI/CD pipeline does not automatically mean an organization has successfully adopted DevOps.

The larger approach also involves communication, shared responsibility, feedback, operations, monitoring, and organizational culture.

DevOps Is Not One Tool

You may see tools marketed as “DevOps tools.”

Those tools can support automation, deployment, monitoring, infrastructure management, or collaboration.

But buying a particular tool does not create a DevOps culture.

AWS describes DevOps as a combination of cultural philosophies, practices, and tools, rather than any one technology.

DevOps Does Not Eliminate Operations

DevOps does not mean operations suddenly disappears.

Infrastructure still needs to be configured. Systems still need to be monitored. Incidents still need to be resolved. Applications still need reliable environments in which to run.

What changes is how those responsibilities connect with development and the rest of the software lifecycle.

DevOps Does Not Mean “Move Fast at Any Cost”

Speed is useful only when teams can maintain reliability.

A strong DevOps process uses automation, testing, monitoring, and feedback so teams can make changes more confidently rather than simply pushing updates as quickly as possible.

DevOps and DevSecOps

Security has also become increasingly integrated into modern software delivery.

This approach is commonly known as DevSecOps, short for development, security, and operations.

Rather than treating security as something that happens only at the end of development, DevSecOps treats security as a shared responsibility throughout the lifecycle. 

This can include automated security testing, vulnerability checks, access controls, compliance processes, and security reviews throughout development and deployment.

Why Do Organizations Use DevOps?

Organizations adopt DevOps for several reasons.

Better communication can reduce unnecessary handoffs between teams.

Automation can make repetitive processes more consistent.

Smaller and more frequent changes can make problems easier to isolate than enormous releases containing months of changes.

Continuous monitoring can also help teams identify issues after deployment and respond more quickly.

Ultimately, DevOps aims to help organizations create a tighter feedback loop between the people building technology, operating it, and using it.

AWS and Microsoft both emphasize faster delivery, collaboration, reliability, and responsiveness to customer needs as major benefits of the DevOps approach. 

Where Does Linux Fit Into DevOps?

If you are exploring infrastructure-related technology careers, Linux is an important concept to understand.

Many servers, cloud environments, containers, and infrastructure platforms operate on Linux. As a result, Linux administration skills can provide a useful foundation for people who eventually want to work with infrastructure automation, cloud environments, systems engineering, or DevOps-related technologies.

For example, understanding how to navigate Linux, manage services, troubleshoot systems, work with permissions, and understand basic networking gives you context for what automation and deployment tools are actually changing behind the scenes.

DevOps may involve automation, but you still need to understand the systems being automated.

If you are new to the field, you do not have to begin by trying to master every DevOps tool at once.

Start with the fundamentals.

Is DevOps a Career?

DevOps is technically an approach to working, but DevOps Engineer has also become a common job title.

Depending on the organization, someone working in a DevOps-related role may work with:

• Linux
• Cloud infrastructure
• Automation
• CI/CD pipelines
• Configuration management
• Containers
• Monitoring
• Infrastructure as Code
• Scripting
• Version control

The responsibilities can vary significantly from one company to another.

You may also see overlapping roles such as Systems Engineer, Cloud Engineer, Site Reliability Engineer, Platform Engineer, or Infrastructure Engineer.

That is why you should look beyond the job title and read the actual responsibilities when researching potential career paths.

Do You Need Coding Skills for DevOps?

You do not necessarily need to become a traditional software developer to work with infrastructure and DevOps technologies.

However, you should expect to work with code in some form.

That might include:

• Shell scripting
• Python
• YAML
• Infrastructure-as-Code configuration
• Automation scripts
• CI/CD configuration files

The amount of programming required depends heavily on the role and organization.

The important distinction is that coding and software development are not always the same thing. Infrastructure professionals often use scripting and automation to manage systems without spending their entire day building software applications.

DevOps Starts With Strong Fundamentals

DevOps can sound complicated because it touches development, infrastructure, cloud computing, automation, security, and operations.

You do not need to learn all of those areas at once.

If you are starting from zero, focus first on understanding how IT infrastructure works. Build foundational skills, learn how systems communicate, become comfortable working with Linux, and then expand into automation and other DevOps practices.

Tools will continue to change.

The fundamentals behind those tools are what help you adapt.

Build Your IT Foundation With Yellow Tail Tech

You do not have to start your tech career by trying to become a DevOps engineer overnight.

A stronger approach is to build the infrastructure fundamentals that more advanced technologies depend on.

Yellow Tail Tech’s Lnx For Jobs program is designed to help career changers build practical Linux system administration skills through a structured learning path.

If you are exploring a transition into IT and want to understand whether Linux is the right starting point for you, book a Career Strategy Session.