What is DevOps Engineering And Why It Matters In Business

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 OverviewDevOps 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 PrinciplesDevOps 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 ResponsibilitiesDevOps 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.
ProcessThe 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 TechnologiesDevOps 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.
BenefitsImplementing 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 RisksChallenges 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

A DevOps engineer completes a seamless cloud infrastructure of any business.

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 Jenkins, Puppet, Chef, and Ansible.

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, 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 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 Jenkins, Puppet, Chef, and Ansible. 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.

Which are the main roles within DevOps Engineering?

What does a DevOps engineer do?

A majority of DevOps engineering roles are focused on introducing tools and processes that streamline software development. DevOps engineers are responsible for the IT infrastructure throughout the software development cycle to bridge the gap between development and operations teams.

Connected Agile & Lean Frameworks


AIOps is the application of artificial intelligence to IT operations. It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments. AIOps has become a key operational component of modern digital-based organizations, built around software and algorithms.


AgileSHIFT is a framework that prepares individuals for transformational change by creating a culture of agility.

Agile Methodology

Agile started as a lightweight development method compared to heavyweight software development, which is the core paradigm of the previous decades of software development. By 2001 the Manifesto for Agile Software Development was born as a set of principles that defined the new paradigm for software development as a continuous iteration. This would also influence the way of doing business.

Agile Program Management

Agile Program Management is a means of managing, planning, and coordinating interrelated work in such a way that value delivery is emphasized for all key stakeholders. Agile Program Management (AgilePgM) is a disciplined yet flexible agile approach to managing transformational change within an organization.

Agile Project Management

Agile project management (APM) is a strategy that breaks large projects into smaller, more manageable tasks. In the APM methodology, each project is completed in small sections – often referred to as iterations. Each iteration is completed according to its project life cycle, beginning with the initial design and progressing to testing and then quality assurance.

Agile Modeling

Agile Modeling (AM) is a methodology for modeling and documenting software-based systems. Agile Modeling is critical to the rapid and continuous delivery of software. It is a collection of values, principles, and practices that guide effective, lightweight software modeling.

Agile Business Analysis

Agile Business Analysis (AgileBA) is certification in the form of guidance and training for business analysts seeking to work in agile environments. To support this shift, AgileBA also helps the business analyst relate Agile projects to a wider organizational mission or strategy. To ensure that analysts have the necessary skills and expertise, AgileBA certification was developed.

Agile Leadership

Agile leadership is the embodiment of agile manifesto principles by a manager or management team. Agile leadership impacts two important levels of a business. The structural level defines the roles, responsibilities, and key performance indicators. The behavioral level describes the actions leaders exhibit to others based on agile principles. 

Andon System

The andon system alerts managerial, maintenance, or other staff of a production process problem. The alert itself can be activated manually with a button or pull cord, but it can also be activated automatically by production equipment. Most Andon boards utilize three colored lights similar to a traffic signal: green (no errors), yellow or amber (problem identified, or quality check needed), and red (production stopped due to unidentified issue).

Bimodal Portfolio Management

Bimodal Portfolio Management (BimodalPfM) helps an organization manage both agile and traditional portfolios concurrently. Bimodal Portfolio Management – sometimes referred to as bimodal development – was coined by research and advisory company Gartner. The firm argued that many agile organizations still needed to run some aspects of their operations using traditional delivery models.

Business Innovation Matrix

Business innovation is about creating new opportunities for an organization to reinvent its core offerings, revenue streams, and enhance the value proposition for existing or new customers, thus renewing its whole business model. Business innovation springs by understanding the structure of the market, thus adapting or anticipating those changes.

Business Model Innovation

Business model innovation is about increasing the success of an organization with existing products and technologies by crafting a compelling value proposition able to propel a new business model to scale up customers and create a lasting competitive advantage. And it all starts by mastering the key customers.

Constructive Disruption

A consumer brand company like Procter & Gamble (P&G) defines “Constructive Disruption” as: a willingness to change, adapt, and create new trends and technologies that will shape our industry for the future. According to P&G, it moves around four pillars: lean innovation, brand building, supply chain, and digitalization & data analytics.

Continuous Innovation

That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problem and not the technical solution of its founders.

Design Sprint

A design sprint is a proven five-day process where critical business questions are answered through speedy design and prototyping, focusing on the end-user. A design sprint starts with a weekly challenge that should finish with a prototype, test at the end, and therefore a lesson learned to be iterated.

Design Thinking

Tim Brown, Executive Chair of IDEO, defined design thinking as “a human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” Therefore, desirability, feasibility, and viability are balanced to solve critical problems.


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.

Dual Track Agile

Product discovery is a critical part of agile methodologies, as its aim is to ensure that products customers love are built. Product discovery involves learning through a raft of methods, including design thinking, lean start-up, and A/B testing to name a few. Dual Track Agile is an agile methodology containing two separate tracks: the “discovery” track and the “delivery” track.

eXtreme Programming

eXtreme Programming was developed in the late 1990s by Ken Beck, Ron Jeffries, and Ward Cunningham. During this time, the trio was working on the Chrysler Comprehensive Compensation System (C3) to help manage the company payroll system. eXtreme Programming (XP) is a software development methodology. It is designed to improve software quality and the ability of software to adapt to changing customer needs.

Feature-Driven Development

Feature-Driven Development is a pragmatic software process that is client and architecture-centric. Feature-Driven Development (FDD) is an agile software development model that organizes workflow according to which features need to be developed next.

Gemba Walk

A Gemba Walk is a fundamental component of lean management. It describes the personal observation of work to learn more about it. Gemba is a Japanese word that loosely translates as “the real place”, or in business, “the place where value is created”. The Gemba Walk as a concept was created by Taiichi Ohno, the father of the Toyota Production System of lean manufacturing. Ohno wanted to encourage management executives to leave their offices and see where the real work happened. This, he hoped, would build relationships between employees with vastly different skillsets and build trust.

GIST Planning

GIST Planning is a relatively easy and lightweight agile approach to product planning that favors autonomous working. GIST Planning is a lean and agile methodology that was created by former Google product manager Itamar Gilad. GIST Planning seeks to address this situation by creating lightweight plans that are responsive and adaptable to change. GIST Planning also improves team velocity, autonomy, and alignment by reducing the pervasive influence of management. It consists of four blocks: goals, ideas, step-projects, and tasks.

ICE Scoring

The ICE Scoring Model is an agile methodology that prioritizes features using data according to three components: impact, confidence, and ease of implementation. The ICE Scoring Model was initially created by author and growth expert Sean Ellis to help companies expand. Today, the model is broadly used to prioritize projects, features, initiatives, and rollouts. It is ideally suited for early-stage product development where there is a continuous flow of ideas and momentum must be maintained.

Innovation Funnel

An innovation funnel is a tool or process ensuring only the best ideas are executed. In a metaphorical sense, the funnel screens innovative ideas for viability so that only the best products, processes, or business models are launched to the market. An innovation funnel provides a framework for the screening and testing of innovative ideas for viability.

Innovation Matrix

According to how well defined is the problem and how well defined the domain, we have four main types of innovations: basic research (problem and domain or not well defined); breakthrough innovation (domain is not well defined, the problem is well defined); sustaining innovation (both problem and domain are well defined); and disruptive innovation (domain is well defined, the problem is not well defined).

Innovation Theory

The innovation loop is a methodology/framework derived from the Bell Labs, which produced innovation at scale throughout the 20th century. They learned how to leverage a hybrid innovation management model based on science, invention, engineering, and manufacturing at scale. By leveraging individual genius, creativity, and small/large groups.

Lean vs. Agile

The Agile methodology has been primarily thought of for software development (and other business disciplines have also adopted it). Lean thinking is a process improvement technique where teams prioritize the value streams to improve it continuously. Both methodologies look at the customer as the key driver to improvement and waste reduction. Both methodologies look at improvement as something continuous.

Lean Startup

A startup company is a high-tech business that tries to build a scalable business model in tech-driven industries. A startup company usually follows a lean methodology, where continuous innovation, driven by built-in viral loops is the rule. Thus, driving growth and building network effects as a consequence of this strategy.

Minimum Viable Product

As pointed out by Eric Ries, a minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort through a cycle of build, measure, learn; that is the foundation of the lean startup methodology.

Leaner MVP

A leaner MVP is the evolution of the MPV approach. Where the market risk is validated before anything else


Kanban is a lean manufacturing framework first developed by Toyota in the late 1940s. The Kanban framework is a means of visualizing work as it moves through identifying potential bottlenecks. It does that through a process called just-in-time (JIT) manufacturing to optimize engineering processes, speed up manufacturing products, and improve the go-to-market strategy.


Jidoka was first used in 1896 by Sakichi Toyoda, who invented a textile loom that would stop automatically when it encountered a defective thread. Jidoka is a Japanese term used in lean manufacturing. The term describes a scenario where machines cease operating without human intervention when a problem or defect is discovered.

PDCA Cycle

The PDCA (Plan-Do-Check-Act) cycle was first proposed by American physicist and engineer Walter A. Shewhart in the 1920s. The PDCA cycle is a continuous process and product improvement method and an essential component of the lean manufacturing philosophy.

Rational Unified Process

Rational unified process (RUP) is an agile software development methodology that breaks the project life cycle down into four distinct phases.

Rapid Application Development

RAD was first introduced by author and consultant James Martin in 1991. Martin recognized and then took advantage of the endless malleability of software in designing development models. Rapid Application Development (RAD) is a methodology focusing on delivering rapidly through continuous feedback and frequent iterations.

Retrospective Analysis

Retrospective analyses are held after a project to determine what worked well and what did not. They are also conducted at the end of an iteration in Agile project management. Agile practitioners call these meetings retrospectives or retros. They are an effective way to check the pulse of a project team, reflect on the work performed to date, and reach a consensus on how to tackle the next sprint cycle. These are the five stages of a retrospective analysis for effective Agile project management: set the stage, gather the data, generate insights, decide on the next steps, and close the retrospective.

Scaled Agile

Scaled Agile Lean Development (ScALeD) helps businesses discover a balanced approach to agile transition and scaling questions. The ScALed approach helps businesses successfully respond to change. Inspired by a combination of lean and agile values, ScALed is practitioner-based and can be completed through various agile frameworks and practices.


The SMED (single minute exchange of die) method is a lean production framework to reduce waste and increase production efficiency. The SMED method is a framework for reducing the time associated with completing an equipment changeover.

Spotify Model

The Spotify Model is an autonomous approach to scaling agile, focusing on culture communication, accountability, and quality. The Spotify model was first recognized in 2012 after Henrik Kniberg, and Anders Ivarsson released a white paper detailing how streaming company Spotify approached agility. Therefore, the Spotify model represents an evolution of agile.

Test-Driven Development

As the name suggests, TDD is a test-driven technique for delivering high-quality software rapidly and sustainably. It is an iterative approach based on the idea that a failing test should be written before any code for a feature or function is written. Test-Driven Development (TDD) is an approach to software development that relies on very short development cycles.


Timeboxing is a simple yet powerful time-management technique for improving productivity. Timeboxing describes the process of proactively scheduling a block of time to spend on a task in the future. It was first described by author James Martin in a book about agile software development.


Scrum is a methodology co-created by Ken Schwaber and Jeff Sutherland for effective team collaboration on complex products. Scrum was primarily thought for software development projects to deliver new software capability every 2-4 weeks. It is a sub-group of agile also used in project management to improve startups’ productivity.


Scrumban is a project management framework that is a hybrid of two popular agile methodologies: Scrum and Kanban. Scrumban is a popular approach to helping businesses focus on the right strategic tasks while simultaneously strengthening their processes.

Scrum Anti-Patterns

Scrum anti-patterns describe any attractive, easy-to-implement solution that ultimately makes a problem worse. Therefore, these are the practice not to follow to prevent issues from emerging. Some classic examples of scrum anti-patterns comprise absent product owners, pre-assigned tickets (making individuals work in isolation), and discounting retrospectives (where review meetings are not useful to really make improvements).

Scrum At Scale

Scrum at Scale (Scrum@Scale) is a framework that Scrum teams use to address complex problems and deliver high-value products. Scrum at Scale was created through a joint venture between the Scrum Alliance and Scrum Inc. The joint venture was overseen by Jeff Sutherland, a co-creator of Scrum and one of the principal authors of the Agile Manifesto.

Six Sigma

Six Sigma is a data-driven approach and methodology for eliminating errors or defects in a product, service, or process. Six Sigma was developed by Motorola as a management approach based on quality fundamentals in the early 1980s. A decade later, it was popularized by General Electric who estimated that the methodology saved them $12 billion in the first five years of operation.

Stretch Objectives

Stretch objectives describe any task an agile team plans to complete without expressly committing to do so. Teams incorporate stretch objectives during a Sprint or Program Increment (PI) as part of Scaled Agile. They are used when the agile team is unsure of its capacity to attain an objective. Therefore, stretch objectives are instead outcomes that, while extremely desirable, are not the difference between the success or failure of each sprint.

Toyota Production System

The Toyota Production System (TPS) is an early form of lean manufacturing created by auto-manufacturer Toyota. Created by the Toyota Motor Corporation in the 1940s and 50s, the Toyota Production System seeks to manufacture vehicles ordered by customers most quickly and efficiently possible.

Total Quality Management

The Total Quality Management (TQM) framework is a technique based on the premise that employees continuously work on their ability to provide value to customers. Importantly, the word “total” means that all employees are involved in the process – regardless of whether they work in development, production, or fulfillment.


The waterfall model was first described by Herbert D. Benington in 1956 during a presentation about the software used in radar imaging during the Cold War. Since there were no knowledge-based, creative software development strategies at the time, the waterfall method became standard practice. The waterfall model is a linear and sequential project management framework. 

Read Also: Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: Agile Methodology, Lean Methodology, Agile Project Management, Scrum, Kanban, Six Sigma.

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