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What Makes Test Automation a Must-Have in DevOps

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The term DevOps consists of the combination of two words: Development and Operations. Test automation has always been an essential part of DevOps as it facilitates enhanced testing and faster time to market for products. DevOps Agile Skills Association (DASA) has formed six policies that cover most definitions of test automation in DevOps.

  1. Customer-Centric Action
  2. Create with the End in Mind
  3. End-to-End Responsibility
  4. Cross-Functional Autonomous Teams
  5. Automate Everything You Can

These six principles further assist you in understanding the importance of test automation in DevOps and its benefits.

Customer-Centric Action

DevOps is regularly considered collectively with Agile because they administer some fundamental concepts. The Agile Manifesto confers a method of operation or performance in which a diminutive incremental piece of software enhances value for the consumer. Testing in the DevOps model function on this very ideology by putting the consumer in the middle of the procedure. DevOps organizations operate undeviatingly for the consumer and should focus all their actions on the mindset that they should supplement significance for the client or consumer. 

Create with the End in Mind

To be capable of achieving this, it is necessary to receive opinions from the customer. There must be a brief feedback loop with every test automation where the consumer can influence the developments of the organization. Before DevOps, the gap between Development and Operations obstructed developers to work with the scope of the entire Software Development Life Cycle (SDLC). This new development designed software functionality proactively and halted after tests were accurately completed. Operations

accumulated the software for deployment on production with some information on what occurred prior to when they got their hands on the software. With DevOps, Development, and Operations proficiency should be present in a team. A DevOps team must invest in a method where they control the complete SDLC of practical service.

End-to-End Responsibility

This Responsibility can provide teams with confident achievement in the obligation they perform. It is one of the encouragement factors for work as defined by Frederick Herzberg. As a section of the two-factor hypothesis, Herzberg classifies motivators and testing infrastructure for work gratification. Within DevOps, there is End-to-End accountability for the service(s) a team performs. That indicates that teams are responsible from “concept to grave”. 

Teams are accountable for the complete SDLC and they must be knowledgeable and work on differences in the service experiences. Safety and production, for instance, could display a more important advantage for the team, because they are accountable for controlling the service. Security, performance, and all other characteristic properties are not the liability of specialists anymore but should be developed into the SDLC process from the start by the complete DevOps teams. This efficiency can drive teams and commence to positive achievement.

Cross-Functional Autonomous Teams

In DevOps, teams should be cross-functional and autonomous. All the skills and knowledge to deliver and maintain service with End-to-End responsibility should be available within the team. Testing and monitoring is another way of giving teams feedback on the way their services operate. Teams should be able to react quickly to failed tests or changes in performance as shown in monitoring

Automate Everything You Can

Several organizations, including DevOps teams, have the knowledge that they have to accomplish the identical assignment recurring times in sequence. To empower flow in the SDLC, many enterprises turn to test automation services. Through this automation, enterprises can automate anything in the development or testing cycle include test scripts and result generation. 

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Challenges of test automation in DevOps

Testing in DevOps “The process connecting all lifecycle activities, both inactive and active, involved with the development, adaptation, and evaluation of software products. They serve specified stipulations, to demonstrate that they are appropriate for persistence and to identify defects.

With DevOps, the teams have end-to-end responsibility for the condition of their service. Activities that guarantee the excellence of their service are components of this end-to-end efficiency. You could undoubtedly demonstrate that all test exercises must be completed in a DevOps team. The tests a team conducts should be in theory end-to-end test cases because they must cover the entire scope of the team’s service. This can be troublesome when a team is liable for a service that correlates with multiple other services. If an organization consists of various services and all employees have favorably completed contract-based testing, you could indeed claim that there is no requirement for end-to-end testing anymore. 

The functionality should be covered in all contracts and therefore in the tests. This, however, is only possible when the contract matches the customer’s needs and no mistakes are made in the chain of contracts. There must be something to incorporate any inconsistencies among settlements. End-to-end testing could be used to mitigate the risk of these discrepancies. Ina microservices architecture contract-based testing is a more applicable test strategy because the architecture consists of multiple services. 

In a monolithic architecture, it can be more difficult to apply contract-based testing because it is moredifficult to identify services that can be individually tested. End-to-end testing that covers multiple teams could be made from small tests connected in a framework until they cover the entire business process. Teams will be accountable for a modest portion of the tests and should extend help to additional teams to ensure the test chain will operate successfully. With this method, it is still conceivable to conduct end-to-end testing with DevOps teams. 

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It demands a ton of coordination among employees and a test automation framework that promotes the input of various teams. In certain situations, it can and will be more fruitful to make one team responsible for end-to-end testings when it covers multiple services. This team can provide an end-to-end testing service for an increased number of teams. DevOps teams should implement standards for the tests for the parts that incorporate their service and should work on adverse outcomes from the tests. The end-to-end testing team should be responsible for making sure the tests will be executed, but the DevOps teams are still responsible for their service in these tests. Whatever you choose, it is most beneficial to assure that a team is formulated with the postulate of customer-centric action initially. 

Ricky Philip

Ricky Philip is an industry expert and a professional writer working at ThinkPalm Technologies. He works with a focus on understanding the implications of new technologies such as artificial intelligence, big data, SDN/NFV, cloud analytics, and Internet of Things (IoT) services. He is also a contributor to several prominent online publishing platforms such as DZone, HubSpot and Hackernoon.

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