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DevOps is a term for a group of concepts that, when brought together, improve the flow of work between software developers and operations professionals. The goal of DevOps is to shorten the feedback loop between change and response, thus making the organization more agile and able to adapt quickly to customer needs and market changes. DevOps is one of the recent buzzwords. DevOps is also growing in popularity at a quick pace. This technology enables businesses to create and enhance products more quickly than they could with traditional software development methods. In this Devops tutorial blog, you will gain a comprehensive understanding of several aspects of DevOps.
DevOps is a software development practice that combines software development (Dev) and information technology operations (Ops). It aims at improving collaboration and communication between development and operations teams. DevOps has brought about a lot of change in the software development process and has helped in delivering software products faster.
The main aim of DevOps is to shorten the development cycle, known as the ‘time to market’, and improve the quality of products and services.
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DevOps is used to develop software in less time and with higher productivity; releases can be made more frequently, work can be broken into tiny tasks and assigned to appropriate teams, we can simply roll back to prior versions, and the company's costs will be reduced.
In this DevOps tutorial, let us learn about the history of DevOps.
In recent years, several businesses have adopted DevOps ideas in order to better respond to their business problems. DevOps was once limited to IT services, but it has now spread throughout the firm, altering procedures and data flows as well as triggering significant organizational changes.
Without DevOps, the cost of resource consumption was calculated using pre-determined individual utilization and set hardware allotment. And, with DevOps, the cloud is used, resources are shared, and the build is based on the needs of the user, which is a technique for controlling resource or capacity utilization.
Many good practices, like Git, allow code to be utilized, ensuring that it is written for business, tracking modifications, being notified of the cause for the difference between the actual and expected output, and, if required, reverting to the original code generated. The code can be properly organized in files, folders, and so forth. They can also be reused.
After testing, the application will be ready for production. Manual testing takes longer to complete since it requires more time to test and move the code to the output. Testing can be automated, which cuts down on testing time and hence cuts down on the time it takes to release code to production, as automating the execution of scripts eliminates numerous manual stages.
Agile technique is used by DevOps to plan development. When the operations and development teams work together, it is easier to organize the work and plan properly, resulting in increased productivity.
Any risk of failure is identified by continuous monitoring. It also aids in correctly tracking the system so that the application's health may be assessed. Monitoring gets easier with services that allow log data to be watched through a variety of third-party tools, such as Splunk.
The scheduler can be used by a variety of systems to automate deployment. By deploying dashboards, the cloud management platform allows users to capture accurate insights and examine the optimization scenario, as well as statistics on trends.
DevOps affects the way traditional development and testing are done individually. The teams work together in a collaborative manner, with both teams contributing actively throughout the service lifecycle. The operation team collaborates with developers to build a monitoring strategy that meets both IT and business needs.
Automation can be used to deploy to a specific environment. When it comes to deploying to the production environment, however, manual triggering is used. Many release management processes are used to execute the deployment in the production environment manually to minimize the impact on customers.
Related Article:Devops Architecture!
Now let us learn about the lifecycle of DevOps in this DevOps tutorial
The Continuous Development phase concentrates on software planning and development. The project's vision is determined in the planning phase of the software. The programmers begin to work on the coding. Although the DevOps tools are not employed in planning, a number of solutions are available for code maintenance.
The resulting programme is rigorously tested for flaws at this stage. Continuous testing is carried out using automation testing tools such as TestNG, JUnit, Selenium, and others. These technologies allow QAs to test many code bases at the same time to ensure that the functionality is flawless. At this stage, Docker Containers can be utilized to emulate the test environment.
In the DevOps lifecycle, this is the most crucial stage. Continuous Integration is a software development technique employed by the developers which require committing source code changes more frequently. It's possible to do this once a day or once a week. Then each commit is produced, allowing for the early identification of any mistakes.
The developed code for the new feature is constantly mixed in with the existing code. Software is updated on a frequent basis as a result of this. The revised code must be seamlessly connected with the systems to reflect changes to end-users.
At this point, the code is pushed to the production servers. It's also crucial to ensure that the code is implemented correctly on all servers.
New code is released on a regular basis, and configuration management software is essential for accomplishing jobs often and efficiently. Some of the most frequent tools used in this phase are Chef, Puppet, Ansible, and SaltStack.
Containerization tools are also important during the deployment phase. Vagrant and Docker are two popular tools for this. These technologies make it easier to maintain consistency throughout the development, staging, and testing environments. They also aid in the scaling up and down of instances in a delicate manner.
Containerization solutions ensure that an application's testing, development, and deployment environments are all consistent. There is no chance of mistakes or failure in the production environment because they package and duplicate the identical dependencies and packages used in the testing, development, and staging environments. It enables the application to run on a wide range of platforms.
This is a part of the DevOps process that incorporates all operational aspects and records and analyses critical details of the software's use to find trends and spot problem areas. Monitoring is usually included as part of the software application's operating features.
It may deliver large-scale data on the application parameters in the form of documentation files while it is in a continuous usage position. System difficulties like server not being reachable, insufficient memory, and so on are resolved at this stage. It ensures the security and availability of the service.
The next concept you would learn in this DevOps tutorial is the DevOps tools
Below are the list of various Devops Tools:
Github: Github is widely considered as one of the largest and most advanced development platforms across the globe. a countless number of organizations, as well as DevOps professionals, use GitHub to design, ship and control their software.
Bitbucket: Bitbucket is a renowned platform with 10 million+ clients. It's not just a code hosting platform; it's also a code management platform. It congregates the complete software team to complete a project.
GitLab: GitLab is an ultimate DevOps solution that aids in the rapid delivery of software. It empowers teams to execute all tasks, including planning, supply chain management, delivery, and security.
Prometheus: It is a community-driven open-source performance monitoring platform. You may also use it to keep track of containers and set alarms considering the time series data.
Dynatrace: Dynatrace allows you to monitor all aspects of your infrastructure. You can track information such as the traffic on your network, the CPU consumption, the response time of your processes, and more by performing log monitoring.
AppDynamics: AppDynamics gives you real-time information on how well your apps are doing. It keeps track of all transactions that travel through your apps and generates reports on them.
Splunk: Splunk is a DevOps tool used for monitoring and exploration which can be used on-premises or as a SaaS.
Datadog: Datadog is a DevOps tool for monitoring servers and apps in hybrid cloud settings.
Sensu: Sensu is a DevOps tool for monitoring applications, servers, functions, containers and many more .
Chef: Chef is an Erlang and Ruby-based DevOps tool to launch and manage servers and applications. It can be used combining with any cloud-based technology
Puppet: Puppet is in charge of simplifying the management and automation of your infrastructure and complex workflows.
Ansible: Ansible is an IT automation tool that eliminates repetitive chores and allows teams to focus on more strategic responsibilities.
Bamboo: It's a DevOps tool that takes you from coding to delivery or deployment through the complete Continuous Delivery process. It integrates automated builds, testing, and releases into a single workflow.
Jenkins: Jenkins is a Java-based open-source CI and CD platform that automates the end-to-end release management process. Jenkins has become one of the most crucial DevOps tools.
IBM UrbanCode: IBM® UrbanCode® Deploy simplifies and automates application deployment. It creates automated processes for deploying, upgrading, rolling back, and uninstalling apps using a pictorial flowchart tool.
Test.ai: Test.ai is an automation testing platform powered by AI that helps developers deploy products quickly and with higher quality.
Ranorex: Ranorex is a one-stop shop for automated testing of all types, including cross-browser and cross-device testing.
Selenium: Selenium is a tool for automating web browsers and applications for testing, but it can be applied to automate administrative tasks on the web.
Sonatype's NEXUS: Sonatype, which bills itself as the "world's #1 repository management," successfully used for organizing, storing, and distributing development artifacts.
JFRog Artifactory: JFRog is an ultimate DevOps artifact that boosts productivity throughout your development ecosystem. It acts as a central repository for metadata and binaries. It also sup[ports all types of package formats.
CloudRepo: CloudRepo is a fully managed repository which enables you to share Maven repositories. CloudRepo empowers you to not worry about the maintenance of infrastructure and concentrate on the product.
AcceIQ: Among DevOps tools, AcceIQ is the market leader in codefree test automation. It's a powerful code-free test automation tool that allows testers to design test logic easily, not considering the programming syntax:
Appvance: Appvance IQ is an AI-driven continuous testing solution. Appvance executed end-to-end autonomous tests and codeless script development.
Testim.io: Testim.io is an AI-based user interface testing platform that allows you to execute tests with quick scripting, better coverage and improved quality.
Top 30 frequently asked Devops Interview Questions !
Below is the list of applications you would learn in this DevOps tutorial
Microservices are an architectural style that can be used in conjunction with Devops to speed up the delivery of software. A microservice-based architecture breaks down an application into smaller, more manageable pieces called services. This allows for more flexibility and faster deployments.
Networking is a critical part of any organization, but it can be difficult to manage and maintain.DevOps can be used in networking to improve the process of software changes and to improve the communication between network engineers and developers. By using DevOps, networking teams can automate their processes, improve their collaboration, and deliver better software faster.
By using DevOps in data science, you can speed up the process of data analysis and get results more quickly. Additionally, DevOps can help to ensure the quality of your data.
Testing is an important part of software development, and it can be difficult to ensure that all aspects of the system are tested thoroughly and effectively. DevOps is a methodology that can help with testing by improving communication and collaboration between developers and operations staff. DevOps can help to speed up the testing process by making it easier to identify and fix problems early in the development cycle. It can also help to improve the quality of testing by providing more accurate and timely information about the state of the system.
Cloud computing being centralized and scalable offers a common platform for deployment, testing, and production, as well as integration, for DevOps applications. DevOps empowers teams to easily grow and adapt to changing requirements.
Automated testing in virtual environments that are indistinguishable from live environments is also possible because of the cloud. This frees up DevOps team members to focus on the work that only humans can do while also removing them from mundane chores that are prone to human error.
List of the Technical Benefits of DevOps:
List of the Business Benefits of DevOps:
Below is the list of advantages of DevOps:
Below is the list of disadvantages of DevOps:
This DevOps tutorial will now take you through the roles and responsibilities and skills required to become a DevOps Engineer.
Below are the list of different job roles of DevOps and the responsibilities associated with it.
Related Article: Devops Automation
Let us try understanding the various prerequisites of learning DevOps.
Programming skills:
You should have a basic understanding of coding. You do not have to be a pro in coding. However, you should not be a novice. A thorough understanding of several programming languages like Java, Python, Perl and more would help you master the concepts of DevOps.
Linux:
Possessing a comprehensive understanding of Linux and its commands would help you learn DevOps at a faster pace.
Automation skills:
A Basic understanding of Automation, automation pipelines, and automation process knowledge would also be a great aid in learning DevOps.
Besides the above mentioned, a good understanding of various operating systems, familiarity with AWS and Azure would benefit you in understanding the core technical concepts of DevOps.
Apart from that, good communication skills and analytical understanding also play a key role in helping you become a successful DevOps Engineer.
Conclusion
DevOps is a hot topic in the tech world right now. If you want to pursue a career in DevOps, there is no better time than this. We believe that this DevOps tutorial helped you learn several interesting concepts of Devops and how to get started with DevOps.
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