DevOps: Principles, Practices, and DevOps Engineer Role
Development and operations were separate components for a very long period. System administrators deployed and integrated the code that developers had written. Because there was little interaction between these two silos, experts typically worked on projects independently.
Previously, Waterfall development was the prominent model in software development. Once agile and continuous development emerged in the software development field, this model became outdated. Due to this agile and continuous workflow, much software is released frequently and thus increasing the demand for software developers.
Software development’s prominent aim is to release a new product to the market for banding their product. As various latest technologies and tools have emerged, every company utilizes these new technologies for software development and releases their product frequently and thus leading to the demand for the software developer in every software-based company.
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DevOps is one of the methodologies for software development that is most widely recognized today. Facebook, Netflix, Amazon, Etsy, and many more market-dominating businesses use it. So, if you’re considering adopting DevOps for more remarkable performance, business success, and competition, take the first step and hire a DevOps engineer. But first, let’s examine what DevOps is all about and how it helps to enhance product delivery.
In this blog, we shall discuss what is DevOps, what is DevOps engineer, DevOps engineer skills, DevOps engineer roles and responsibilities, and the DevOps lifecycle.
What is DevOps?
DevOps is the process of operation and development. It evaluates the development, QA, integration, operation, and deployment of software development. This strategy is a logical development of Agile and continuous delivery methods.
So, by adopting DevOps technology, top companies utilize the main three concepts of DevOps: Development, IT operation, and Quality Assurance. Moreover, companies can benefit from three main advantages by implementing DevOps, which spans development’s technical, business, and cultural facets.
Higher speed and quality of product release: Utilizing DevOps technology in the development process will help you speed up the process and release the product on time. Moreover, by integrating a continuous delivery, we will get feedback and enable the developer to troubleshoot the bugs in the system in the early stage. So, by practicing DevOps, the team can focus on the product’s quality and automate several processes.
Faster responsiveness to customer needs: With DevOps, a team can react to customer change requests faster, adding new and updating existing features. As a result, the time-to-market and value-delivery rates increase.
Better working environment: The concepts and practices of DevOps promote improved teamwork, more productivity, and greater agility. DevOps teams are regarded as being more productive and multi-skilled. A DevOps team consists of developers and operators working together as a unit. If you work in a DevOps team, you should have multi-tasking skills.
These advantages are only available once it is realized that DevOps is a concept that encourages cross-functional team collaboration rather than just a set of processes.
Most importantly, since the emphasis is on changing how people work, it doesn’t require significant technical modifications.
Following DevOps principles is crucial to the project’s overall success.
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DevOps principles
Damon Edwards and John Willis were the first to come up with the new CAMS concept. CAMS is a term that denotes Culture, Automation, Measurement, and Sharing. The purpose of demonstrating this concept is to portray the critical value of DevOps. So, these are essential concepts involved in the DevOps principle; now, we shall discuss them in detail.
Culture
In the beginning, DevOps was a way of life and a way of thinking that helped teams working on infrastructure operations and software development to work together effectively. The following are the pillars on which this culture is built.
Communication and cooperation
Since the beginning of DevOps, these have been the foundational elements. For your team to be effective, it is essential to comprehend the needs and goals of each team member.
Modest modifications
Gradual rollouts give delivery teams a chance to distribute a product to users, make updates, and turn back if something goes wrong.
Shared end-to-end responsibility
When a team works cohesively toward a single objective and each member bears equal responsibility for a project, they are accountable for helping one another with their tasks.
Early problem-solving
According to DevOps methodology, tasks must be finished as early as the project lifecycle. As a result, problems will be resolved more promptly if they arise.
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DevOps lifecycle: DevOps model and practices
DevOps demands a delivery cycle that includes planning, development, testing, deployment, release, and monitoring with active cooperation amongst various team members.
Let us look at the fundamental processes that make up DevOps to break down the cycle further:
Agile planning
Agile planning divides work into brief iterations (such as sprints) to deliver more releases than traditional project management techniques. This indicates that while undertaking extensive planning for two iterations in advance, the team only has high-level objectives outlined. When concepts are evaluated on an early product increment, this enables flexibility and pivots. For additional information on the various approaches used, see our Agile infographics.
Continuous development
The idea of continuous “everything” encompasses iterative or continuous software development, in which all work is broken down into smaller chunks for better and more efficient output. To make code easier to test, engineers commit tiny parts of it frequently throughout the day. Unit tests and code builds are both automated.
Continuous automated testing
A quality assurance team uses automation tools like Selenium, Ranorex, UFT, etc. to test committed code. Defects and vulnerabilities are reported back to the engineering team if they are found. Version control is also required at this stage to identify integration issues before they arise. Developers can track changes to files and disseminate them to other team members wherever they are using a version control system (VCS).
Continuous Integration and Continuous Delivery (CI/CD)
One server-based shared repository contains the automated test-passing code. Regular code contributions prevent “integration hell,” when the differences between numerous code branches and the mainline code become so significant over time that merging them takes longer than producing the code itself.
Development, testing, and deployment processes are combined into a streamlined process due to the continuous delivery methodology. The automatic transmission of code updates into a production environment is made possible by this stage.
Continuous Deployment
At this point, the code has been set up to operate on a public server in production.
Code must be released in a way that can be accessed by many users and doesn’t interfere with currently working functionalities. The new features are tested and verified early thanks to frequent deployment, which enables a “fail fast” strategy.
Engineers launch an incremental product with the use of several automated methods.
The most often used ones are Google Cloud Deployment Manager, Azure Resource Manager, Chef, and Puppet.
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Continuous monitoring
The DevOps lifecycle’s final stage focuses on evaluating the entire cycle. Monitoring seeks to pinpoint troublesome parts of a process and examine feedback from the team and users to alert faults and improve the product’s functionality.
Infrastructure as a code
Continuous delivery and DevOps are made possible by the infrastructure as a code (IaC) approach to infrastructure management. It involves using scripts to instantly change the configuration of the deployment environment (networks, virtual machines, etc.) regardless of its original condition.
Engineers would have to approach each target environment separately without IaC, which would be a laborious effort given that there might be a variety of environments used for development, testing, and production. With the environment set up as code, you.
It can be tested in the same manner as the source code itself, and early testing should be done on a virtual computer that mimics a real-world setting.
When scaling is required, the script may automatically set the required number of environments to be consistent with one another.
Containerization
With virtual machines, which mimic hardware behavior to share the computing resources of a physical machine, it is possible to run multiple application environments or operating systems (Linux and Windows Server) on a single physical server or distribute an application across multiple physical machines.
Containers, on the other hand, are smaller and packaged with all runtime components (files, libraries, etc.), but they only have the essential resources—not whole operating systems.
In DevOps, containers are used to deploy software instantly across many environments, and the IaC method outlined above works well with them. Each container may be evaluated separately before deployment. The most popular container toolkit currently available is Docker.
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Microservices
The microservice architectural approach comprises developing a single application as a collection of autonomous services that interact with one another but are set up separately. By creating an application in this fashion, you can isolate any issues that may arise and ensure that the other application functions won’t be affected if one service fails. Microservices’ rapid deployment rate allows it to maintain system stability while isolating and resolving individual issues.
Cloud infrastructure
Nowadays, most businesses employ hybrid clouds, including public and private clouds.
However, the trend towards completely public clouds—those that are run by a third-party provider like AWS or Microsoft Azure—remains.
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Although cloud infrastructure is not a need for DevOps adoption, it does give applications flexibility, toolkits, and scalability. DevOps-driven teams can significantly minimize their effort by removing server-management activities thanks to the recent development of serverless cloud designs.
Tools for automation that streamline the workflow are a crucial component of these operations. Here, we’ll outline the process and its benefits.
DevOps tools
The primary goal of implementing DevOps is to enhance the delivery pipeline and integration process through automation. The product’s time to market is subsequently shortened.
The team needs to purchase particular tools rather than create them from scratch to implement this automated release workflow.
DevOps technologies are available that cover practically all phases of continuous delivery, from continuous integration environments to deployment and containerization. While some operations are still automated with custom scripts today, DevOps engineers mostly employ a variety of solutions.
Server configuration: In DevOps, servers are managed and configured using server configuration tools. One of the most often used systems in this category is the puppet.
A chef is a tool for managing infrastructure as code that works on hardware and cloud servers. Ansible, which automates cloud deployment, system administration, and system integration, is another well-liked option.
CI/CD: As part of the automation process, CI/CD needs task-specific tools, such as Jenkins, which offers a variety of extra plugins to customize the continuous delivery workflow, or GitLab CI, a free and open-source CI/CD platform provided by GitLab.
Containerization and orchestration: Stages depend on several specialized tools to create, set up, and manage containers that let software products work in multiple settings.
The tool that is most frequently used to create self-contained units and package code into them is called Docker. Commercial OpenShift and open-source Kubernetes are the two most popular containers of the orchestration platforms.
Monitoring and warning: Nagios, a robust tool that displays statistics in visual reports, or Prometheus, an open-source.
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What is DevOps engineer: DevOps engineer roles and responsibilities
Job descriptions change depending on the company. Smaller companies seek engineers with a broader range of responsibilities and expertise. For example, the job description can call for product development in concert with developers.
A DevOps engineer who can work with a specific automation tool may be sought after by larger firms for a particular stage of the DevOps lifecycle.
The fundamental and generally acknowledged duties of a DevOps engineer are:
- (CI/CD) management: continuous deployment and integration
- Evaluating and tracking performance
- Administering infrastructure
- Assistance with implementing the DevOps culture
- Writing the server-side feature specs and documentation
- Management and deployment of clouds
DevOps engineer skills
Tech background-A DevOps engineer must hold a degree in computer science, engineering, or other related fields.
Experience in Automation tools- GitHub, Chef, Puppet, Jenkins, Ansible, Nagios, and Docker. Must have experience with public clouds such as Amazon AWS, Microsoft Azure, and Google Cloud.
Programming skills- Understanding of Bash or PowerShell. Programming languages like Java, C#, C++, Python, PHP, Ruby, etc.
Knowledge of database systems- SQL or NoSQL database models.
Now that you have understood what is DevOps, what is DevOps engineer, DevOps engineer skills, DevOps engineer roles and responsibilities, and the DevOps lifecycle. So, to have an in-depth understanding of DevOps, you can join DevOps Course in Pune, which will help you have a profound understanding of What is DevOps, Why DevOps, DevOps Principles, DevOps Ecosystem and many other core concepts of DevOps.
