How DevOps Uses Test Automation Tools to Accelerate Software Development
The goal of DevOps is to build faster, effective, and responsive applications by bringing together the development team and the operations team. It is a cultural shift to remove all barriers between Dev and Ops and provide shorter as well as frequent software deliveries, thus enabling organizations to respond in a much agile manner with respect to the constantly changing customer demands and expectations.
In a nutshell, DevOps via effective collaboration, communication, streamlined delivery, and automation of processes will accelerate software development in the following key ways:
- Faster time to market
- Reduces risks of failures in each release
- Enhances error fixing and recovery time
- Improves the checking process efficiency
- Speeds up the rate of change
- Allows managers to make improved and effective trade-off decisions
- Enables rapid and continuous feedback
- Offers flawless continuity throughout the Software Development Lifecycle
Testing in DevOps starts from the very beginning of application development and hence it is important to make sure that the development team and the operations team work closely with each other to ensure continuous integration and prompt delivery by continuous testing and monitoring.
Related Reading: Test Automation Trends to Accelerate Development Cycles in 2020
Automation Testing in a DevOps Environment
DevOps is categorized into the following 4 processes:
- Continuous Integration
- Continuous Delivery
- Continuous Testing
- Continuous Monitoring
The testing teams require to align their test design, automation, as well as test case development along with DevOps to ensure that the frequent changes made have not affected the final product.
Unlike the traditional approach, automation testing in a DevOps environment requires moving test automation scripts to a control tool which is of an enterprise version. This system of centralized enterprise-level testing results in an integrated test suite that offers centralized execution and reporting.
Let us walk through the different ways in which DevOps makes use of test automation tools:
How DevOps Uses Test Automation to Speed Up Software Development and Delivery
DevOps testing lays its core focus on test automation within the application’s development pipeline to ensure that by the time the application is deployable, it is done without any further confusion. Some of the popular test automation tools of DevOps are Selenium and Water.
Here is a quick rundown on the popular DevOps tools:
1. New Relic– New Relic offers an end to end visibility along with improved customer experience and dynamic infrastructure. It also helps the DevOps team to save their time spent in monitoring applications.
2. Jenkins – Jenkins is a DevOps automation tool used for checking the execution of redundant tasks. Jenkins is an open-source CI/CD (Continuous Integration/ Continuous Delivery) server that allows users to automate various phases involved in the application delivery pipeline.
3. Splunk – This automation tool is used to access machine data. It offers operational effectiveness to both the development as well as the operations teams in DevOps. It offers enterprises the ability to be more productive, competitive, secure, and reliable.
4. Selenium – Being the most popular automation testing tool for DevOps, Selenium is designed to meet the specific needs of a wide range of different browsers. It makes use of lesser resources and supports parallel test execution which reduces the overall time required for the testing process. The test cases prepared can be run on any operating system as well.
Cucumber, Jasmine, JUnit, and JMeter are other popular test automation tools used by DevOps to accelerate application development and deployment.
Related Reading: How To Measure The Effectiveness Of Your DevOps Program
Future of Test Automation in DevOps: Enhancing Application Development
With the evolution of continuous testing, DevOps has enhanced its test automation strategies where it is supported by practices such as a test-case design that is risk-based, stateful test data management, service virtualization, as well as seamless integration into the DevOps set of test automation tools.
To get the best out of test automation and to learn how to incorporate test automation tools using DevOps to accelerate your application development and deployment, talk to our experts today.
What 2020 holds in store for software testing automation
Enterprises are constantly on the hunt for trends that improve their application’s effectiveness, expedite development cycles, reduce downtimes, and improve cost savings. In such cases, they often resort to methods that can automate mundane testing procedures. Why is it the right time to leverage test automation trends? Here we discuss a few software testing automation trends expected to dominate in 2020.
The automation testing lifecycle
Automation testing provides testing teams the ability to improve the coverage of their software tests and additionally offers improved quality, cost savings, shorter testing cycles, and a multitude of other benefits. To reap benefits out of automation techniques, the key is to incorporate the right skills, planning, as well as the right testing tools.
Let us walk through the various phases involved in an automation lifecycle:
- When and what and how to automate?
- Selecting the right tool
- Test planning, designing, and strategy selection
- Establishing the testing environment
- Development and execution of the automation test script
- Report Generation
Related Reading: Understanding The Different Types Of Software Testing
Factors that drive the adoption of test automation in 2020
- Ability to strategize and plan.
- Finding resources and skills to make use of automation tools and frameworks.
- Ability to assess related risks.
- Exploration of tools.
- Providing instant feedback so that developers can gain insights into various areas that require improvement.
- Conducting multiple tests throughout various phases.
- Increasing efficiency to reduce risks.
- Reducing defect fixing time and effort.
- Investing more time for the development and enhancement of features.
- Analyzing strategies to capture data to assess various releases.
- Ensure API testing to determine the functionality, performance, security, as well as reliability of the application tested for.
Automation testing trends to watch out in 2020
1. Test automation to improve quality for Agile and DevOps
As businesses face constant pressure to meet the changing customer demands and expectations, agility becomes the key to success for coping with the transformation. Additionally, enterprises lookout for agile processes and software delivery approaches such as DevOps to ensure a faster delivery time of applications to the market. Agile-DevOps transformation has brought about higher levels of quality, flexibility, efficiency, and productivity to achieve faster release cycles, improved quality, and increased ROI.
Related Reading: Myths About Load Testing in Agile Environment
2. Usability testing to ensure improved user experience
Mobile and eCommerce applications are great enablers for businesses today. User Interface, as well as the operational flows, play a critical role in determining whether the visitors continue to be users or not. A quick application loading time can enhance your brand loyalty and improve customer experience and retention.
3. Big Data testing to tackle huge volumes of data
Historical data helps enterprises gain critical insights on future plans and objectives and helps them to be proactive through predictive maintenance, machine learning, and AI techniques. Mining structured, as well as unstructured data, are hence important for effective testing.
4. IoT testing for well-connected devices
According to the latest reports published by Statista, the entire installed base of the Internet of Things connected devices is forecasted to amount to 75.44 billion worldwide by 2025. This figure was just 6.4 billion during the year 2016. This increase in the figures illustrates the massive requirement for effective IoT strategies in test automation. This testing includes testing of OS, various software and hardware of the IoT connected devices, different communication protocols, and so on.
5. AI and ML testing for technological innovations
The global AI software market is forecasted to grow to $14.7 billion by the year 2025. AI and ML technologies such as gesture recognition and speech recognition are taking over the world by storm. Similarly, technologies such as neural networks and predictive maintenance also require high-quality testing methodologies for technological innovations.
6. Blockchain Testing
Blockchain Testing enables smart contracts and prevents fraudulent transactions, especially when dealing with digital currencies such as Bitcoin. Blockchain debugging is thus crucial for enabling streamlined and smooth financial currencies.
7. Cyber Security Testing
Cyber vulnerabilities increase day by day and tackling them requires effective testing practices. (CEH) Certified Ethical Hackers with key security tools and technologies can safeguard applications from malfunctions and cyber attacks.
8. RPA Testing
RPA (Robotic Process Automation) testing ensures enhanced output, facilitates high-end performance and reduces the efforts required while performing end-to-end testing. For instance, robots can enhance a workspace with its capability to perform redundant tasks. RPA testing is thus crucial for effective applications with faster development cycles.
Related Reading: Quality Assurance in Software Testing – Past, Present & Future
Integrating automation testing into your workflow requires you to take into account how it will impact the people, process, and technology of your organization. It’s also crucial to measure if automation fits into the cycle of continuous integration and delivery and how it will merge with your software development lifecycle. Fingent helps you reap the benefits of test automation. Contact us to know more.