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Difference between Agile and DevOps

DevOps is a hot topic that has been circulating in the industry for a long period. Despite its popularity, there is mounting concern about how it differs from Agile. What could be worse? The Agile and DevOps discussion is a never-ending one in the information technology industry.

Are you an ambitious engineer interested in learning all about DevOps and Agile?. If you want to learn how they differ and preferable, then stick around until the end of this ‘Agile vs. DevOps’ article, where I will share detailed information about both methodologies.

We will discuss the two methodologies in this article, as well as the differences between these two.

Agile Vs DevOps in Software Development
Agile Vs DevOps

What is Agile?

Agile is a project management style that emphasizes the continuous delivery of small, manageable project increments. It is done through iterative development and testing. It was created to replace the conventional waterfall technique, which is recognized for its organized, linear, and sequential life cycle.

Agile facilitates the day-to-day management of complex projects by enhancing communication and cooperation between team members and clients.

What is DevOps?

DevOps is a methodology of software development in which the development team collaborates with the operations team to increase cooperation and efficiency. Additionally, the process requires integrating DevOps ideas and strategies and testing using a set of DevOps tools.

Site Reliability Engineering is the next phase of DevOps implementation. DevOps is a concept that may be implemented in a variety of ways. SRE is much more rigid in terms of the way of doing things and what the team’s clear goals are; particularly, the objective is to maintain the site’s reliability and availability, and to prioritize the activities that contribute to achieve the goal.

The key aspect to remember is that DevOps is not a substitute for Agile! Does it sound incorrect? No, Agile is not on the verge of extinction. However, is DevOps superior? Yes, this is an advancement.

Agile vs. DevOps

Let’s begin by learning about the similarities and differences between the two methodologies. They are not the same, despite their similarities, and some may claim that one is better than other. Therefore, it is critical to know the exact details to clear this uncertainty.

How Agile and DevOps are similar?

How are both methodologies similar if they follow the different methods? Doesn’t it sound wrong? The answer is yes they have some similarities.

Both methodologies depend upon rapid software development. Moreover, their ideas support rapid growth without compromising the client or the processes.

Both emphasize efficiency, effectiveness, and quality across the software development lifecycle. Additionally, they prioritize shorter release cycles.

Both techniques place a greater emphasis on automation and cooperation. When you use Agile or DevOps methodologies, risk tends to decrease with time. On the other hand, risk tends to grow when other techniques, such as Waterfall, are used.

What are the differences between Agile and DevOps?

How Agile differ from DevOps? While both systems promote cooperation to increase speed and efficiency, they vary significantly regarding achieving the target. Before I talk about the technical differences, I want to set the context straight. Hence, I will be talking about a few technical differences which you should be aware of.  The following are some crucial differences in the Agile vs. DevOps debate.

Procedure

The difference between DevOps and Agile methodologies is how specific tasks are completed. Agile ensures regular communication between teams and clients while DevOps emphasizes testing and delivery. Communication between developers and IT operations is predominantly between programmers and IT operators. Additionally, the Agile approach is a better fit for complex projects, while the DevOps technique is more adapted for end-to-end procedures.

Teams 

The organizational structure of the teams is one of the major differences between DevOps and Agile. For instance, bigger teams often use DevOps, with the skill set shared across operations and development team members. It implies that each team member will be responsible for completing a particular job or task at each step of the process. On the other hand, agile is better suited for smaller teams that need to accomplish work quickly. Typically, the Agile methodology does not assign particular tasks to team members but instead encourages everyone to share responsibility equally. As a result, all Agile team members should be capable of managing or delegating any aspect of a project at any point in time.

Tools 

Agile and DevOps methodologies also use a variety of tools, depending on the nature of the project. Kanboard and Jira project management software and Bugzilla server software are popular Agile project management solutions. While DevOps utilizes Amazon Web Services cloud computing, Puppet automation software, TeamCity servers, OpenStack software, and Chef infrastructure.

Attention and Feedback

Agile and DevOps also have significant differences in terms of focus and feedback. While DevOps initiatives prioritize operational and business readiness and get feedback from internal team members, an Agile approach often receives input directly from customers.

In addition, agile teams often use sprints to keep focus, with each sprint lasting shorter than a month. Agile teams design sprints to ensure that available tasks are accomplished in manageable chunks, with the next sprint beginning just after the previous sprint is made.

With DevOps, specific deadlines and standards must be met, some of which might occur daily.

DevOpsAgile
Self EvaluationCustomer Feedback
Shorter release cycles, instant feedbackSmaller release cycles
Emphasis on efficiency and automationEmphasis on speed
Business-friendlyNot optimal for business

Conclusion

To conclude, both methodologies strive to provide high-quality software on schedule. The contrast between agile and DevOps is that agile emphasizes the optimization of the development lifecycle, while DevOps unifies development and operations in a continuous integration/continuous delivery environment.

Agile and DevOps do not have to be mutually independent. Any firm undergoing a DevOps transformation should not quit its current agile operations. DevOps is an extension of agile that focuses on techniques that are not central to agile. Hence, these methods enhance software development and result in higher-quality products.

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Software Development Lifecycle

What is Software Development Lifecycle?

The “Software Development Life Cycle” improves the accuracy and reliability of each step of the life cycle, providing a strategy for measuring each phase of software development. The SDLC process aims to design software that is of good quality and that satisfies customer needs. The experts should complete the framework within the specified period and the budget. SDLC is a comprehensive schedule that outlines the steps necessary to plan, develop, and manage applications. Moreover, Each stage of the SDLC has its processes and deliverables that feed into the next phase. SDLC is an acronym for Software Development Life Cycle.

Why is SDLC important for Development?

The following are the primary factors why SDLC is critical when designing a software system.

  • Enhances the customer relationships
  • Assists you in reducing project risk and scheduling overhead
  • Serves as a foundation for organizing, arranging, and forecasting projects
  • Establishes a structure for the execution of a standardized collection of tasks and deliverables
  • Serves as a monitoring and control system for projects
  • Also increases the exposure of project preparation among all development process stakeholders
  • Accelerates the growth as well

Phases of Software Development Lifecycle

Phases of Software Development Lifecycle
Phases of Software Development Lifecycle

Initial Phase Planning

Software Development Lifecycle: Planning

This step is used to obtain business prerequisites. This stage is the focal point of activity for project managers and investors. Meaning the stage includes meetings with managers, associates, and customers to settle on requirements such as using the system. How would they use the framework? What detail should be used in the framework? What information should the framework provide? In fact, there are general inquiries at the stage of collecting prerequisites.

Finally, we develop a Requirement Specification manual to reference the model’s next step.

The document includes the following information:

  • Detailed Specification of Functional Requirements
  • Specification of business requirements
  • Detailed Specification of Client/Customer Requirements
  • Specifying User Requirements
  • Documentation for the Business Design
  • Business Document

Analysis Phase

The analysis process includes the feasibility review, preliminary preparation, technology selection, and analysis phase.

For instance, System Analyst (SA), Project Manager (PM), and Team Manager are examples of people who work in this sector.

What happens during the analysis phase?

Feasibility study: This is a thorough examination of the conditions to determine whether or not they are all feasible.

Preliminary preparation: Resource planning and time planning are components of this stage.

Technology selection: This section would analyze and also list all the innovations required to complete the project effectively.

Analysis phase: Specifications, such as human capital, hardware, and applications that are complete this project effectively, will be thoroughly examined and outlined here.

Design Process of Software Development

The design phase consists of two main tasks:

i.  LLD (Low-Level Designing) 

ii. HLD (High-Level Designing)

How does the design process work?

The chief engineer will divide the whole project into modules by drawing several diagrams, and then the technical lead will divide each module into submodules (Unified Modelling Language).

Coding Phase

Developers begin building the whole framework during this process by writing code in the programming language of their choice. The coding procedure splits tasks into groups or modules and allocates them to different developers.

During this process, the developer must comply with a set of predefined coding guidelines. Moreover, they will need to use programming resources like compiler, interpreters, debugger to produce and execute the code.

Testing Phase

  • The software tester should collect and review the necessary documents to clarify the requirements thoroughly.
  • If they have some objections to your interpretation of the guidelines, you should produce a review report (RR) detailing your concerns.
  • After receiving clarifications and fully comprehending the criteria, they would use the test case template to write the test cases. They will run the test cases until the build is published.
  • After executions, they would log any flaws discovered in a fault profile document.
  • They would forward the defect profile to the developers and wait for the next build.
  • They will rerun the test cases before the next build is accessible.
  • You will replicate the next stage until the product is faultless if they find any of the faults. You will stop the process before you are sure the material is free from defects.
  • It applies to different testing methodologies.

Delivery and Maintenance Phase: 

Delivery: 

The professional test engineers and deployment engineers, install the program into the client setting, following the guidance’s deployment document.

Maintenance: 

After delivery, it will be classified as a task-based problem if a difficulty arises. Thus the department will assign the associated roles. Roles, processes, and solutions will be specified concerning the problem.

Project: Streaming App

Planning: The client wants to build a multi-device streaming software that is always running for consumers to use (phones, tablets, OCs, laptops, TVs, and gaming consoles).

Analysis: In order to save expenses and improve productivity, the dev team proposes to focus on Backbone.js. There are additional features to the client to improve the app’s user experience (stream purchasing after its passing). The development team goes to work after the client’s permission.

Design: These specific requirements provide the team with the opportunity to work quickly and effectively, resulting in the delivery of the software ahead of schedule.

Testing: The quality assurance team has more time for testing since the core work finishes early. While we were investigating this issue, it became apparent that the app’s database did not accept users with similar first and last names. When the issue is reported to the development team, they get it repaired in a timely manner.

Delivery and Deployment: The client is happy with the outcome but asks for a UI color change because of the company’s rebranding efforts. The last tweaks are done, and the app is put into production.

Maintenance: The customer has declined any help.

Conclusion:

To summarize, the Software Development Life Cycle, which is used by all of the world’s leading software development firms. It is critical for all involved from the programmer to the project manager. It is important throughout the product’s development phase. Moreover, it illustrates how to create, manage, and replace specific software by defining each phase in the software development process. The life cycle concept contributes to the overall essence of programming and the growth cycle.

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