Hand-drawn Business Engineer cover: DevOps Engineering bridges development and operations teams. What is DevOps Engineering And Why It Matters In Business

What is DevOps Engineering And Why It Matters In Business

Updated November 2026 · reviewed for today
In short

DevOps engineering is the work of building the pipelines, infrastructure and feedback loops that let software move from a developer’s commit to production quickly and safely, with development and operations sharing ownership of the result. The DevOps movement took shape around the first devopsdays, held in Ghent, Belgium, in 2009 and founded by Patrick Debois. Its measurement side was formalised by Nicole Forsgren, Jez Humble and Gene Kim in Accelerate (2018), the source of the DORA metrics.

What is DevOps Engineering And Why It Matters In Business: hand-drawn explainer by The Business Engineer
Drawing by The Business Engineer.

How it works

01
Automate the path to production
Continuous integration builds and tests every change; continuous delivery keeps the code always releasable. Manual hand-offs become pipeline steps.
02
Treat infrastructure as code
Servers, networks and permissions are defined in version-controlled files, so environments can be rebuilt, reviewed and rolled back like application code.
03
Measure delivery, not activity
DORA tracks throughput (change lead time, deployment frequency, failed deployment recovery time) and instability (change fail rate, deployment rework rate). Its research finds speed and stability are not trade-offs.
04
Share the risk budget
Google's SRE practice sets an error budget: an agreed amount of unreliability. While budget remains, teams ship; when it runs low, they slow down and invest in reliability.

Where you see it today

AI coding assistants meet the pipeline

DORA’s Accelerate State of DevOps Report 2024 found that AI adoption raised individual productivity, flow and job satisfaction, but was associated with lower software delivery stability and throughput (DORA, 2024). More code written faster still has to pass the same tests, reviews and deploys.

AI as an amplifier

DORA’s State of AI-assisted Software Development 2025 describes AI’s main role as an amplifier of an organisation’s existing strengths and weaknesses (DORA, 2025). Teams with fast, well-tested pipelines gain; teams with fragile ones ship their fragility faster.

Agents that open pull requests

GitHub’s Copilot cloud agent takes a task, works in a GitHub Actions-based environment and opens a pull request for review. The CI pipeline and code review become the control point for machine-written changes, which makes DevOps engineering more central, not less.

Platform teams and secure supply chains

Many companies now package their tooling into an internal developer platform. DORA (2024) found such platforms improve productivity and team performance but can reduce change stability and throughput if badly run. In parallel, NIST’s Secure Software Development Framework (SP 800-218, February 2022) asks teams to build security practices into every lifecycle, the core idea of DevSecOps.

DevOps engineering vs related roles

DevOps engineer
Main focusThe path from commit to production
Typical outputCI/CD pipelines, infrastructure as code
Site reliability engineer
Main focusReliability of running services
Typical outputSLOs, error budgets, incident reviews
Platform engineer
Main focusSelf-service tools for many teams
Typical outputInternal developer platform, golden paths
DevSecOps
Main focusSecurity built into the pipeline
Typical outputAutomated scans, signed builds, secure defaults
Release manager
Main focusCoordinating what ships and when
Typical outputRelease plans and go/no-go decisions

How to use it

  • Measure the four DORA delivery metrics for one service before buying any new tool.
  • Shrink the size of each change: small batches make tests faster and failures easier to trace.
  • Put every environment in code and make the pipeline the only way to change production.
  • Agree an error budget with product owners so the speed-versus-reliability call is made by data, not by rank.
  • Route AI-generated code through the same tests, reviews and security checks as human code, and watch change fail rate as AI use grows.
The Business Engineer lens

When AI makes writing code cheap, the bottleneck moves to verifying and shipping it safely, which is exactly what DevOps engineering owns. The Business Engineer reads delivery pipelines as the control layer that decides whether AI coding gains reach customers or turn into incidents.

Read: The Emerging Agentic Software Stack →Explore everything we publish →

Related: Continuous integration · Continuous delivery · Site reliability engineering · DevSecOps · Agile methodology

Frequently asked questions

What does a DevOps engineer do?

They build and run the automated path from code commit to production: CI/CD pipelines, infrastructure as code, monitoring and the feedback that drives the next change.

How is DevOps performance measured?

DORA uses delivery throughput (change lead time, deployment frequency, failed deployment recovery time) and instability (change fail rate, deployment rework rate).

Is DevOps the same as SRE?

They overlap. DevOps is a broad culture and set of practices; SRE is Google's engineering approach to reliability, built around SLOs and error budgets.

Does AI replace DevOps engineers?

DORA's research suggests the opposite pressure: AI raises individual output but can hurt delivery stability, so strong pipelines, tests and reviews matter more.

Sources

The full guide

The complete explainer, cleaned up and reformatted for mobile.

Hand-drawn Business Engineer cover: DevOps Engineering bridges development and operations teams. What is DevOps Engineering And Why It Matters In Business
FourWeekMBABusiness EngineerAt a glance

A majority of DevOps engineering roles are focused on introducing tools and processes that streamline software development.

SecDevOps engineers manage the security of the software.

Layout refreshed 7 October 2026. The article text below is unchanged.

Why it mattersFrom the article

With DevOps, IT teams can produce innovative solutions and deliver high-value products more efficiently.

Challenges in DevOps Engineering include the complexity of managing automation scripts and infrastructure, ensuring proper security measures, and addressing cultural resistance to change.

Visual overview and quick answers (tap to expand)
BUSINESS CONCEPT

What is DevOps Engineering

DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether. A DevOps engineer completes a seamless cloud infrastructure — as explored in the economics of AI compute infrastructure — of any business.

Visual Overview
What is DevOps Engineering Defining DevOps What Does a DevOps Eng A Look at a Comprehens
Key Components
Defining DevOps
DevOps is a set of practices in which development and operations teams share ownership of building, testing, deploying and running software.
What Does a DevOps Engineer Do?
A majority of DevOps engineering roles are focused on introducing tools and processes that streamline software development.
A Look at a Comprehensive DevOps Team
If you are looking to augment a comprehensive DevOps team to your existing IT functions, you might want to look into the following roles:
When To Use
▶It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments
Real-World Examples
Amazon Apple Google Nike Spotify Toyota
Quick Answers
What is DevOps?
DevOps is a set of practices in which development and operations teams share ownership of building, testing, deploying and running software.
What Does a DevOps Engineer Do?
A majority of DevOps engineering roles are focused on introducing tools and processes that streamline software development.
What is A Look at a Comprehensive DevOps Team?
If you are looking to augment a comprehensive DevOps team to your existing IT functions, you might want to look into the following roles:
Key Insight
DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether.
Exec Package + Claude OS Master Skill | Business Engineer Founding Plan
FourWeekMBA x Business Engineer | Updated 2026

DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether.

Concept Overview
ExplanationDevOps Engineering is a specialized field within DevOps that focuses on the design, implementation, and management of automation and infrastructure as code (IaC) to support the continuous integration (CI) and continuous delivery (CD) pipelines. DevOps Engineers bridge the gap between software development and IT operations, ensuring that applications can be built, tested, and deployed efficiently and reliably. They are responsible for creating and maintaining the tools and systems that enable agile development, automated testing, and continuous deployment.
Key Principles
ExplanationDevOps Engineering is guided by several key principles:
1. Infrastructure as Code (IaC): Infrastructure is defined and managed through code, allowing for version control, repeatability, and automation.
2. Automation: Repetitive tasks, from provisioning servers to testing, are automated to increase efficiency and reduce errors.
3. Scalability: Systems are designed to scale dynamically to accommodate changing workloads.
4. Monitoring and Feedback: Continuous monitoring provides feedback on system performance and health.
5. Collaboration: DevOps Engineers work closely with development, operations, and other teams to align objectives and processes.
Roles and Responsibilities
ExplanationDevOps Engineers have various responsibilities, including:
1. Tooling and Automation: Developing and maintaining automation scripts, CI/CD pipelines, and deployment tools.
2. Infrastructure Management: Managing and optimizing cloud or on-premises infrastructure using IaC.
3. Release Management: Ensuring smooth and reliable releases of software updates.
4. Monitoring and Troubleshooting: Setting up monitoring tools, analyzing performance metrics, and troubleshooting issues.
5. Security: Integrating security practices and tools into the DevOps process.
6. Collaboration: Collaborating with development and operations teams to facilitate communication and streamline workflows.
Process
ExplanationThe DevOps Engineering process typically includes the following steps:
1. Infrastructure Provisioning: DevOps Engineers use IaC to provision infrastructure resources.
2. Automation: Automation scripts and CI/CD pipelines are developed to build, test, and deploy applications.
3. Monitoring and Feedback: Continuous monitoring provides insights into system performance and alerts on anomalies.
4. Scalability and Optimization: Engineers ensure that systems can scale efficiently and optimize resources.
5. Security Integration: Security practices are integrated into the DevOps pipeline.
6. Collaboration: Engineers work closely with development teams to align on deployment and release strategies.
Tools and Technologies
ExplanationDevOps Engineers use a wide range of tools and technologies, including version control systems (e.g., Git), containerization platforms (e.g., Docker), configuration management tools (e.g., Ansible, Puppet), CI/CD platforms (e.g., Jenkins, Travis CI), monitoring tools (e.g., Prometheus, Grafana), and cloud services (e.g., AWS, Azure). These tools enable automation, IaC, and efficient DevOps practices.
Benefits
ExplanationImplementing DevOps Engineering offers several benefits:
1. Faster Delivery: Automation and CI/CD pipelines accelerate software delivery.
2. Reliability: Automated testing and monitoring enhance system reliability.
3. Scalability: Dynamic scaling accommodates changing workloads.
4. Cost Efficiency: Efficient resource management reduces infrastructure costs.
5. Collaboration: Collaboration between teams fosters a culture of shared responsibility.
Challenges and Risks
ExplanationChallenges in DevOps Engineering include the complexity of managing automation scripts and infrastructure, ensuring proper security measures, and addressing cultural resistance to change. Risks may arise from misconfigurations, lack of documentation, or inadequate testing.

Defining DevOps

DevOps is a set of practices in which development and operations teams share ownership of building, testing, deploying and running software.

Without them on your IT team, you cannot establish a cloud infrastructure that is powerful enough to stand in a hybrid environment.

DevOps engineering is a newly emerging role in the business landscape. It develops into a product of a dynamic workforce that is yet to flourish.

For this reason, a majority of businesses have not yet established a clear career path to DevOps engineering roles.

To fully define what encompasses DevOps engineering, one must understand what it takes to be one.

The collaboration between teams paves the way for quick integration and deployment of software and product.

With DevOps, IT teams can produce innovative solutions and deliver high-value products more efficiently.

What Does a DevOps Engineer Do?

A majority of DevOps engineering roles are focused on introducing tools and processes that streamline software development.

Simply put, DevOps engineers are there from start to finish.

This title means that they manage software development from coding and deployment to maintenance and updates.

They collaborate with developers, programmers, and QA specialists when working on one product.

The DevOps Engineer unifies the team to take necessary actions that ensure the quality and prioritize the seamless customer experience.

Responsibilities of a DevOps Engineer

DevOps engineers are responsible for the IT infrastructure throughout the software development cycle.

Typically, DevOps engineers handle the following tasks

  • They should maintain continuous integration and continuous delivery using appropriate tools when testing, building, and deploying a product.
  • Successful DevOps engineers have access to the leading tools and technologies that address the needs of the company.
  • A skillful DevOps engineer knows ways to automate testing, deployment, and monitoring of code.
  • They should be able to coordinate across IT teams to address concerns that answer to customer expectations.

Skills of a Promising DevOps Engineer

DevOps engineers aim to bridge the gap between development and operations teams.

In bringing these IT functions together, they can deploy products that consumers find valuable.

DevOps engineers must possess considerable skills that they can bring to the table to emphasize an agile methodology.

DevOps engineers must have familiarity with the most common tools utilized in the industry.

To stay in-demand, they should have extensive knowledge in hosting applications of Linux operating systems.

They should also know how to run configuration management tools like Puppet, Chef and Ansible, and CI servers such as Jenkins.

These tools play a fundamental role in the automation of processes and infrastructure provisioning.

Moreover, DevOps engineering roles are all hands on deck when it comes to automation and infrastructure management.

Apart from their access to complex tools, they should have impeccable interpersonal skills.

They foster a collaborative partnership across IT functions, so they should know how to approach them.

A Look at a Comprehensive DevOps Team

If you are looking to augment a comprehensive DevOps team to your existing IT functions, you might want to look into the following roles:

Release Manager

A DevOps team needs to have a release manager who will handle the process and deployment.

They are the ones who will make plans, prepare schedules, and monitor the entire process to ensure it runs seamlessly.

Simply put, release managers carry out the tasks that the team performs to streamline the process. Without them, the development and operations team cannot function in unison.

Release managers are especially vital during the deployment of the product.

They have the final say whether the current build of the software is suitable for release.

It is their responsibility to check the software’s quality using the CI/CD pipeline and check issues.

Automation Engineer

Automation engineers make use of the CI/CD pipeline to streamline the software development process.

They deploy CI/CD to implement specific changes more efficiently.

Automation engineers are the ones who create and maintain the CI/CD pipeline to facilitate the real-time implementation of code modifications.

For this reason, automation engineers rely on CI/CD tools like Jenkins, Maven, Git, and more.

Software Tester

Software testers are responsible for monitoring and fixing any error surrounding the code.

When any error gets overlooked, it can compromise the quality of the product.

The worst-case scenario is that users cannot utilize the software’s key features because of a minute bug.

Software testers come into the picture soon after developing the product to monitor for any occurring bugs and errors.

They test all aspects of the software to check for anything wrong with it.

From the design, certain situations that test user experience — as explored in the interface layer wars reshaping consumer tech — , to the features make sure that the software is seamless.

Additionally, it is the software tester’s responsibility to verify the cohesiveness of the code and its functionality.

It has to meet the release manager’s standards before the product launches to the public.

Integration Specialist

The integration specialist plays a fundamental role in the DevOps ecosystem.

They ensure that infrastructure requirements get fulfilled using integration and testing strategies.

These specialists utilize an agile methodology to support automation processes and engineering procedures.

SecDevOps Engineer

devsecops
DevSecOps is a set of disciplines combining development, security, and operations. It is a philosophy that helps software development businesses deliver innovative products quickly without sacrificing security. This allows potential security issues to be identified during the development process – and not after the product has been released in line with the emergence of continuous software development practices.

SecDevOps engineers manage the security of the software.

It is their job to ensure that the tools used are secured, from configuration management to log management to Quality Assurance.

They usually follow security protocols established by the business as their guide. Simply, SecDevOps engineers ensure that every member of the team adheres to the guidelines.

Finally, DevOps engineers possess the right amount of balance in cross-functional IT teams.

They are not confined to a particular position, as they should coordinate the development and operations team to streamline software development.

These requirements mean that the job title is all-inclusive and requires an extremely skilled and versatile developer to execute this role successfully.

Key Highlights

  • DevOps Engineer Role: DevOps engineers are crucial for creating a seamless cloud infrastructure in modern businesses. They play a key role in developing a powerful cloud infrastructure suitable for hybrid environments. The role of a DevOps engineer is still emerging, and many businesses are yet to define clear career paths for this role.
  • Collaboration and Efficiency: DevOps emphasizes collaboration between development and operations teams, enabling quick integration and deployment of software and products. This collaboration leads to innovative solutions and efficient product delivery.
  • Responsibilities of DevOps Engineer: DevOps engineers are involved in the entire software development lifecycle. They manage everything from coding and deployment to maintenance and updates. They collaborate with various teams, including developers, programmers, and QA specialists, to ensure a seamless customer experience.
  • Key Responsibilities:
    • Maintain continuous integration and continuous delivery using appropriate tools.
    • Automate testing, deployment, and monitoring of code.
    • Coordinate with IT teams to meet customer expectations.
  • Skills of a DevOps Engineer: DevOps engineers bridge the gap between development and operations, deploying valuable products. They need skills in automation, hosting applications, and configuration management tools like Puppet, Chef and Ansible, and CI servers such as Jenkins. Interpersonal skills are also important to foster collaboration across IT functions.
  • Roles in a Comprehensive DevOps Team:
    • Release Manager: Handles deployment process, plans, schedules, and monitors to ensure a seamless process.
    • Automation Engineer: Creates and maintains the CI/CD pipeline for efficient code implementation using tools like Jenkins, Maven, and Git.
    • Software Tester: Monitors and fixes errors in the code, ensuring a seamless user experience by testing all aspects of the software.
    • Integration Specialist: Ensures infrastructure requirements are met through integration and testing strategies using agile methodologies.
    • SecDevOps Engineer: Manages software security, following established protocols to secure tools, configurations, and adherence to guidelines.
  • Balance and Versatility: DevOps engineers balance cross-functional IT teams, coordinating between development and operations. This versatile role requires skilled individuals who can successfully execute their responsibilities and promote efficient software development.
Continuous Integration (CI)
Description– A software development practice where developers integrate code changes into a shared repository frequently, typically multiple times a day. Continuous Integration (CI) automates the build, test, and integration process to detect and address integration errors early in the development cycle.
When to Apply– When developing software applications or collaborating on code changes. – Implementing Continuous Integration (CI) practices to automate code integration, perform automated testing, and ensure code quality continuously, facilitating faster feedback loops and improving collaboration in DevOps environments.
Continuous Deployment (CD)
Description– An extension of continuous integration where code changes are automatically built, tested, and deployed to production or staging environments with minimal manual intervention. Continuous Deployment (CD) ensures that software can be released reliably and frequently, enabling rapid, incremental updates.
When to Apply– When deploying software releases or promoting changes across environments. – Adopting Continuous Deployment (CD) practices to automate deployment pipelines, orchestrate release processes, and deliver software changes consistently and reliably, reducing time-to-market and improving agility in DevOps environments.
Infrastructure as Code (IaC)
Description– A practice where infrastructure configurations, such as servers, networks, and storage, are defined and managed using code and version-controlled repositories. Infrastructure as Code (IaC) enables automated provisioning, configuration, and management of infrastructure resources.
When to Apply– When provisioning or managing infrastructure resources. – Embracing Infrastructure as Code (IaC) principles to define infrastructure configurations declaratively, automate provisioning tasks, and manage infrastructure changes efficiently, ensuring consistency, repeatability, and scalability in DevOps environments.
Microservices Architecture
Description– An architectural style where applications are composed of loosely coupled, independently deployable services that are organized around business capabilities. Microservices Architecture enables agility, scalability, and resilience in software development and deployment.
When to Apply– When designing or modernizing software architectures. – Adopting Microservices Architecture to decompose monolithic applications into smaller, decoupled services, enabling independent development, deployment, and scaling of components in DevOps environments, enhancing agility and flexibility.
Containerization
Description– A lightweight, portable approach to software packaging where applications and their dependencies are encapsulated into containers. Containerization enables consistent deployment across diverse environments and facilitates rapid development, deployment, and scaling of applications.
When to Apply– When packaging, deploying, and managing applications consistently. – Leveraging Containerization technologies such as Docker and Kubernetes to containerize applications, automate deployment, and manage containerized workloads effectively, improving agility and portability in DevOps environments.
Infrastructure Automation
Description– The process of automating the provisioning, configuration, and management of infrastructure resources using scripting, configuration management tools, or infrastructure as code. Infrastructure Automation reduces manual intervention, ensures consistency, and accelerates deployment and scaling.
When to Apply– When managing and scaling infrastructure resources efficiently. – Implementing Infrastructure Automation solutions to automate repetitive tasks, provision infrastructure resources dynamically, and maintain configuration consistency, enabling rapid and reliable infrastructure deployment and management in DevOps environments.
Configuration Management
Description– The practice of defining, deploying, and maintaining the configuration settings and parameters of software applications and infrastructure components. Configuration Management ensures consistency, reliability, and compliance across environments.
When to Apply– When managing and maintaining configuration settings across environments. – Applying Configuration Management practices to define and enforce configuration standards, automate configuration changes, and ensure consistency and compliance in software and infrastructure configurations in DevOps environments, reducing risks and improving reliability.
Monitoring and Observability
Description– The process of collecting, analyzing, and visualizing data from systems, applications, and infrastructure to gain insights into their behavior, performance, and health. Monitoring and Observability enable proactive detection of issues and performance optimization.
When to Apply– When monitoring system health, diagnosing issues, or optimizing performance. – Implementing Monitoring and Observability solutions to collect, analyze, and visualize telemetry data from diverse sources, enabling real-time visibility, proactive issue detection, and performance optimization in DevOps environments, ensuring reliability and efficiency.
Version Control Systems (VCS)
Description– Software tools that track changes to source code, documents, or any set of files, enabling collaboration, versioning, and change management. Version Control Systems (VCS) provide features such as branching, merging, and history tracking.
When to Apply– When collaborating on software development or managing code changes. – Utilizing Version Control Systems (VCS) such as Git or SVN to track changes, manage branches, and coordinate collaborative development efforts seamlessly, ensuring version control and traceability in DevOps workflows.
CI/CD Pipeline Orchestration
Description– The automation of the continuous integration and continuous deployment processes through the creation and management of CI/CD pipelines. CI/CD Pipeline Orchestration automates software delivery workflows, from code commit to production deployment.
When to Apply– When automating software delivery processes and release pipelines. – Orchestrating CI/CD Pipeline workflows to automate build, test, and deployment tasks, integrate with version control systems and deployment tools, and enforce best practices and governance in software delivery processes, accelerating time-to-market and improving quality in DevOps environments.

Main Case Studies

Scroll to Top
FourWeekMBA