DevOps is a mix of systems and processes implemented by the business to increase production while giving a push to high-speed technologies and services. With these systems in place, production capacity gets doubled in comparison to companies using conventional methods. 
 
Here we will talk about these very DevOps terms you should know to ensure software delivery and infrastructural management. However, there is still confusion over the usage of these terms. The motive of today’s article is to explain the terminology.
 
Following is the top DevOps Terms You Need to Know: 
 
 Agile Methodology
 
Developers adopt Agile methodology with a deep emphasis on collaboration and customer satisfaction. It is dependent on the Agile Manifesto, a set of principles and values to promote delivery, improvement, and evolutionary development. The main motive is to adapt to change and deliver customer value promptly. Some of these methodologies include Kanban, Lean, and Scrum and offer a structure for successfully applying Agile principles in a particular way.
  
Artifact 
 
It is a deployable component in the software delivery pipeline that includes design documents like Class Diagrams, UML, use cases, etc. It consists of the project source code, binaries, resources, and dependencies that could represent different layout designs dependent on the technology. 
 
To explain in simple terms, it is a by-product of software development and created so that software is developed. It includes diagrams, setup scripts, data models, etc., and the list goes on. It is a broad term when it comes to software development.
 
 Pieces of software have many artifacts that are essential to run them, and some explain how the software works, while others allow the program to run.
 
Agent
 
It is a program that runs on multiple physical services for executing processes on that server. These control or report the status of small programs that runs on multiple machines. By deploying an agent, you need to retain the credentials to that system for script connections or any other connectivity. An agent performs deployment actions as if you are on the machine.
 
Behavior Driven Development (BDD) 
 
Behavior Driven Development (BDD) is an agile software development methodology and DevOps terms. In it, the application is designed and documented that users expect to experience while interacting with the application. It helps give boost to teamwork and collaboration among the analysts, stakeholders, and other business participants in the given project.
 
Continuous Integration (CI) 
 
It builds and tests code changes help to find problems in the earlier stages of the development cycle. It is a process of detecting the code integrity committed by the developers in the source code repository. This code gets integrated into the shared repository several times a day and verified automatically through builds and tests.
 
Continuous Deployment (CD) 
 
It automatically deploys code changes to production as soon as the same passes the tests in the CI process. It is a practice of software development for releases where any new code passes the testing phase and is released into production to ascertain any changes made are seen and gains visibility for the end users.
 
 
Configuration Management 
 
It is a process of managing and automating the configuration and applications of the system. The system ensures consistency and repeatability. In other words, it is an engineering process for retaining consistency in system settings while improving operational efficiency and functioning and retaining systems to keep them aligned with its requirements, design, and operations.
 
Automated Testing 
 
It is concerned with automatically testing code changes during the CI/CD process and the operational cycle to ascertain that the same is operating as expected and does not break functionality.
 
Application Release Automation (ARA): 
 
It concentrates on modeling and deployment of application software releases and associated configurations. It is used for Enterprise Edition and .NET applications providing versioning and allowing best practices in artifacts, configurations, and data across the multiple application life cycles. These tools also often have workflow engines that help in automating the development process and track workflow.
 
Monitoring and Logging: 
 
It refers to collecting and analyzing data used in production systems and applications to identify and resolve issues and improve performance. It effectively tracks and perceives the data, channelized into different IT systems. 
 
Monitoring and detecting IT infrastructure is a critical aspect of the production application, and observability is important for successful deployment during the early phases of the production cycle and delivery pipeline. Log data in your CI/DC also helps developers monitor and observe applications before the start of production.
 
And there are many more DevOps Terms You Should Know and understand all help in the development and deployment of infrastructure. These concepts if incorporated can help businesses increase the speed and reliability of their software and services and ultimately drive greater value for their customers.
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