DevOps Methodology

A DevOps methodology is a suite of practices, tools, and philosophies that combines software development (Dev) and information technology operations (Ops).

Understanding DevOps

DevOps represents a shared or collaborative approach to tasks and processes performed by a company’s software development and IT operations teams.

The philosophy on which DevOps is based fosters improved collaboration and communication between these teams and the organization as a whole. 

The term can also be used more narrowly to describe iterative software development, automation, and programmable infrastructure maintenance and deployment.

It also encapsulates cultural change – by increasing trust between systems administrators and developers – and ensuring business requirements are in harmony with each project.

The shift toward DevOps started around 2007 in response to concerns development and IT teams had raised about dysfunction in the industry.

Essentially, the software development framework of the time required the developers who wrote the code to be separate from those who deployed and supported it. 

Both teams often worked in separate buildings, had competing objectives, or were measured against different KPIs.

This causes siloed teams that were only concerned with looking after themselves with long working hours, botched releases, and dissatisfied customers also commonplace.

Under the current DevOps model, both teams are no longer siloed and are occasionally merged into a single team where engineers work across the entire lifecycle and possess multidisciplinary skills and expertise.

What DevOps is not

DevOps is not a technology in and of itself but instead an environment that utilizes:

  • Continuous integration and continuous delivery or deployment (CI/CD) tools. 
  • Any system that supports its adoption, such as configuration management, incident management, and real-time monitoring, and
  • Cloud computing, microservices, and containers.

While they are somewhat different, it should also be noted that DevOps can be used in tandem with Agile. In fact, the two frameworks complement each other.

The former focuses on an automated CI/CD pipeline to deliver frequent releases, while the latter increases adaptability toward shifting requirements and provides better collaboration among smaller teams.

DevOps lifecycle

The continuous nature of DevOps and its six phases are commonly represented as an infinity loop.

While each phase appears to be sequential, DevOps stresses the need for collaboration and iteration across the entire lifecycle.

The six phases include:


To increase speed and quality, agile practices should be adopted.

As hinted at above, this enables teams to break work down into smaller chunks and deliver incremental value.


This can be done via Git, a free, open-source version control system that supports the branching, merging, and rewriting of repository history.

Continuous integration and delivery (CI/CD)

This enables teams to release quality products from source code to production via automated workflows.

Releases are frequent and of high quality.

Monitor and alert

The fourth phase deals with the identification and resolution of issues that affect speed, uptime, and functionality. 


Or the management of end-to-end IT service delivery to customers.

Known as IT service management (ITSM), this incorporates all the processes and activities that create, deliver, and support IT services

Continuous feedback

Where the effect of each release on the user experience is reported to the DevOps team to then improve future releases. 

DevOps vs. Agile

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 is a development method encompassing how software is developed, delivered, and iterated.

The agile methodology became a successful philosophy that spilled over to the business world, spurring the lean startup revolution.

Thus, agile is all-encompassing philosophy that moved from software development to business processes.

DevOps is primarily a workflow within tech organizations to enable continuous deployment of tech processes.

DevOps has become extremely important at a time when technical processes have become the core of many organizations.

From DevOps to 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.

DevSecOps is an extension of DevOps, which adds security to the mix.

Indeed, with complex technical infrastructures, as the core of many businesses on the web, security has become a critical component to look out for throughout the whole workflow.

Thus, where previously, the emphasis was on combining development and operations to wreck the siloes within organizations.

DevSecOps enabled to add security in the mix, as a critical element to take into account from the early stage of development activities within the company’s operations.

Key takeaways

  • A DevOps methodology is a suite of practices, tools, and philosophies that integrate software development (Dev) and information technology operations (Ops).
  • DevOps is not a technology but instead an environment that utilizes CI/CD tools, incident management, real-time monitoring, cloud computing, and microservices. It may also be used in conjunction with Agile.
  • DevOps methodologies are represented in the form of an infinity loop with collaboration occurring and iteration throughout. The six phases are plan, build, CI/CD, monitor and alert, operate, and continuous feedback.

What are the key components of the DevOps methodology?

What is DevSecOps?


DevSecOps is an extension of DevOps, which combines 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.

Connected Business 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.

Machine Learning

Machine Learning Ops (MLOps) describes a suite of best practices that successfully help a business run artificial intelligence. It consists of the skills, workflows, and processes to create, run, and maintain machine learning models to help various operational processes within organizations.

Continuous Intelligence

The business intelligence models have transitioned to continuous intelligence, where dynamic technology infrastructure is coupled with continuous deployment and delivery to provide continuous intelligence. In short, the software offered in the cloud will integrate with the company’s data, leveraging on AI/ML to provide answers in real-time to current issues the organization might be experiencing.

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’ problems and not the technical solution of its founders.

Technological Modeling

Technological modeling is a discipline to provide the basis for companies to sustain innovation, thus developing incremental products. While also looking at breakthrough innovative products that can pave the way for long-term success. In a sort of Barbell Strategy, technological modeling suggests having a two-sided approach, on the one hand, to keep sustaining continuous innovation as a core part of the business model. On the other hand, it places bets on future developments that have the potential to break through and take a leap forward.

Business Engineering


Tech Business Model Template

A tech business model is made of four main components: value model (value propositions, missionvision), technological model (R&D management), distribution model (sales and marketing organizational structure), and financial model (revenue modeling, cost structure, profitability and cash generation/management). Those elements coming together can serve as the basis to build a solid tech business model.

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