A Complete Guide On Continuous Testing And Test Orchestration

It is difficult to provide software on a continuous basis. The ability to compile, integrate, build, deliver, and (if required) deploy an application with the click of a button, or even a few clicks, is not a promise made by any one method. The majority of them have always been manual processes, until recently. However, you need to be able to have a range of exclusive tools functioning together if there is to be a means to quickly and smoothly provide software for any organization. Continuous testing here plays a major role. By testing early and often, continuous testing aims to assess the quality of software at every stage of the continuous delivery process.

How are teams able to provide software continuously? It is pretty harder than it seems. Instead of taking hours or minutes, distributing and deploying software earlier used to take days or even weeks to complete. In order to deploy software updates utilizing automated procedures, continuous delivery calls for a stronger focus on orchestration.

The whole toolchain required to build a continuous delivery pipeline is not provided by any one solution. Many people have jigsaw pieces, and one day they could all come together to form a whole picture. Today, however, teams must look for the components that fit them. They often have integrations with several other tools, are close to best-of-breed, and provide an API that enables simple interactions with other products.

What Is Continuous Testing?

Software testing that incorporates testing at each step of the development life cycle is known as “continuous testing” in DevOps. Continuous testing’s objective is to assess the software’s quality via early and frequent testing as part of a continuous delivery process.

Traditional testing entails the transfer of software from one team to another, with well defined stages for development and quality assurance (QA). To assure quality, the QA team would need a lot of time, and quality is often given precedence over the project timetable.

However, organizations today want quicker delivery of software for end users. Software is more likely to provide businesses with the chance for increased income only if it is more recent it is and the more marketable. A release candidate (software change) is continuously moved from development to testing and deployment in a continuous DevOps process.

Why Is Continuous Testing Different?

Testing in the past was handoff-centric. From one team to another, the program was transferred. Development and QA stages would be distinct in a project. To assure quality, QA teams have always wished for additional time. 

Organizations today, meanwhile, want software to be delivered to users more quickly. The possibility for increased income for the firm increases with the age of the program. As a result, a new testing method was developed.

Continuous testing refers to continuous, uninterrupted testing. A software modification (release candidate) is continually moved from development to testing to deployment in a Continuous DevOps process. The code is delivered, delivered, tested, and deployed continually.

As an example, a continuous process includes the execution of an automated set of unit tests each time a developer examines the code on a source code server like Jenkins. The build is refused and the developer is informed if the tests are unsuccessful. The build is then deployed to performance and QA servers for in-depth functional and load testing if it passes the test. The tests are executed concurrently. The program is put into production if the tests come back positive.

A minor cog in the Continuous Development, Integration, and Deployment Cycle is continuous testing. We now shorten software development from a month to a few weeks instead of several months. The present testing stack is geared toward UI testing. But having more and more automated unit tests is the aim.

Advantages Of Continuous Testing

Let’s magnify on some of the benefits of continuous testing.

  • Boosts software delivery speed
  • Assessing precise company risk coverage is helpful.
  • Continuous testing raises the quality of the code.
  • It interacts smoothly with the DevOps process.
  • Helps develop an agile and dependable procedure in a matter of hours rather than weeks.
  • Combines historically separate teams to suit the demands of the contemporary organization. 
  • Time to market is sped by through a continuous feedback method.
  • Eliminates the gap between the operations, testing, and development teams.
  • Emphasizes the need for businesses to reduce risks to their operations
  • By using the same setup for all pertinent tests, test automation promotes consistency.
  • Granting universal access to test environments 

Challenges With Continuous Testing

Here are some of the disadvantages of continuous testing.

  • Lack of DevOps expertise and appropriate testing tools in Agile and DevOps contexts.
  • The conventional method prevents a culture change among QA & Development experts.
  • Heterogeneous test settings that never accurately represent the real-world setting
  • Integration problems and delayed defect solutions result from longer code integration cycles.
  • Undefined test data management and conventional testing procedures
  • Inadequate and ineffective testing settings and resources.
  • DevOps adoption is hampered by complex application architecture and business logic.

What Is Test Orchestration?

Let’s examine its origins to better comprehend the word, “orchestration”. An orchestra is a group of musical instruments that play in unison under the direction of an instructor to produce a melodic harmony.

Here, we might think of orchestration as a group of tests running simultaneously to provide a software testing that is in tune. Simply said, orchestration is the process of automating several jobs at once, or the complete IT-driven process. With the help of the Test Orchestration Framework, several automated tests may be created and scheduled to run consecutively. The most important component of the automated testing plan is it. 

Test automation is without a doubt the way software testing will be done in the future, but we also recognize that if testers misuse or improperly interpret automation, they risk losing money. Therefore, it becomes inappropriate to consider the larger picture, or how test orchestration may be used to make automated testing effective. As a result, test orchestration emerges as a potent tactic for the continuous, comprehensive testing of software products.

Why A Test Orchestration Strategy Is Necessary?

There is no avoiding the fact that test orchestration is challenging. It is not just difficult technically, but it’s difficult in a strange sense. As a result, few DevOps experts are familiar with the fundamentals of test optimization. You could discover that your team needs new abilities in order to conduct orchestration well. Furthermore, if the project is big enough, you could even discover that you require a new, specialized staff.

Why add test automation to the mix if it increases product development complexity? Unsurprisingly, developing a master plan has several advantages. These are some benefits that this kind of testing orchestration offers:

  • Testing time was reduced by optimization
  • Rapid implementation of new features
  • Decreased costs over time

True continuous testing is made possible by more DevOps time being allocated to the “hard lifting” of feature development. Going from automated testing to staged automated testing might add more time than it saves without a solid plan. Even worse, there are a ton of products on the market that claim to be able to meet your orchestration requirements. 

An effective solution for facilitating test orchestration is Fictionize Architect. It not only uses machine learning to develop automated tests, but it also has the built-in instruments required to manage these tests.

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Continuous Testing And Test Orchestration

Continuous testing goes hand in hand with automation and orchestration. While test automation focuses on a specific task, test orchestration connects automated and human procedures via testing, addressing the overall problems with the product. Additionally, orchestration provides organizations with total insight into testing, enabling them to watch metrics over time and determine who is in charge of what at each stage.

The first step towards a better and quicker delivery is to build up a CI/CD pipeline as more and more firms use cloud and DevOps methods. Achieving the required level of quality and delivery time is made possible through continuous testing. Test orchestration is more targeted at different testing kinds whereas CI/CD orchestrates the complete delivery process.

It is crucial to realize that even the finest test automation solutions need some degree of human involvement. The test data is often adjusted using these manual interventions for the next cycle of testing and the amount of testing to be done. To guarantee that the environment is stable under a load of data and test runs, human intervention is also required. The necessity to organize the testing follows. This enables delivery teams to take a risk-based strategy and concentrate more on the testing areas that need it.

A kind of test orchestration used in the CI/CD pipeline is continuous testing. However, the breadth and importance of test orchestration go far beyond than that. It may be used to carry out very intricate testing of the program in utterly unrelated areas. Delivery teams may utilize test orchestration to carry out the following use cases:

  • Testing of the release candidate’s upgrading capabilities against various upgrade pathways. It’s possible to update software from a number of different earlier versions. A crucial objective for high quality is testing each of those upgrade pathways.
  • End-to-end testing of intricate business scenarios that require a number of different API combinations and services being used in succession to get a certain result.
  • Specialized testing, such as particular security testing to find the security flaws in the program or the flaws in the product’s dependencies.
  • Testing for compliance with established norms and laws takes a lot of time and needs specialized knowledge.

What is Hyper Execute ?

Hyper Execute is a lightning-fast test orchestration cloud for end-to-end Selenium testing that is available through test orchestration platforms like Lambda Test. Because it is up to 70% quicker than conventional Selenium Grid clouds, it aids organizations in reducing time to market. Additionally, orchestration makes the feedback process frictionless, resulting in faster access to the input by development teams. All teams may easily access information on what is in the works, how it is developing, and how delays impact the company.

Teams may generally evaluate the full software program together with the pre-set KPIs thanks to orchestration. Test orchestration is one of the parts of your continuous and white box testing approach that makes it what it is. Establishing a strong test orchestration system is essential given the many advantages of test orchestration and the fact that it makes the SDLC more visible and manageable.

Today, it is possible to use a continuous delivery framework with automated planning, tests, code, and monitoring integrated into an assembly pipeline with 100% system availability, as well as real-time test data creation, automatic code resilience, continuous monitoring, and so on.


A DevOps strategy called continuous testing helps developers produce high-quality code in the shortest period of time. We have now gained a better understanding of continuous testing and the ways in which a continuous testing strategy may be used to quicken development and attain agility.

The need for test orchestration adoption gets more urgent as the organizations continue to expand. Orchestration is a one-stop solution to handle any complication, regardless of how complex their software development life cycle and the toolset they employ to manage infrastructure and deliver applications may be. Early orchestration adoption would make future planning and security easier and provide better outcomes. It must be adhered to so that it can reach the automation milestone.

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