March 2022 Summaries

Open banking is transforming the financial services industry by enabling seamless integrations between applications using publicly available APIs. To realize its full potential, developers must prioritize API testing and security to ensure reliable and secure integrations. The European Union's PSD2 directive and the UK's Open Banking initiative require financial institutions to provide open APIs for third-party developers, making compliance a legal requirement. As a result, API testing will become increasingly complex due to continuous evolution of open banking apps, requiring developers to perform continuous tests and leverage cloud-based API testing for scalability and security.

One quarter of consumers will encounter a bug that prevents them from accomplishing a task at least once a day, which highlights the importance of delivering an excellent user experience to avoid customer frustration and loss. This statistic underscores that customers have zero-tolerance for failure and are more likely to abandon a brand after a negative digital experience, resulting in lost revenue and damage to brand loyalty. Leveraging continuous testing tools can help companies catch and address errors before they reach production, protecting their reputation and bottom line. A slow app or buggy software can lead to cart abandonment or financial losses, emphasizing the need for companies to prioritize user experience and performance testing. By doing so, businesses can ensure a flawless experience for their customers and maintain a competitive edge in the market.

The Application Program Interface (API) is a set of protocols and tools used to develop and maintain mission-critical software. API testing is crucial to guarantee high-quality applications by regularly checking API functioning in response to API calls and interactions with the system against established input parameters, data formats, error codes, and HTTP status codes. To address security vulnerabilities such as insufficient logging and monitoring, penetration testing and E2E fuzz testing are used to simulate attacks against the API and identify any security flaws and abnormal behaviors. Continuous API testing is recommended throughout the API lifecycle due to the complexity of security vulnerabilities, and it provides several advantages including ensuring software system security, performance, and stability. The decision to build systems as APIs is often a business decision rather than a technology decision, and API testing is now a top priority when developing and deploying APIs. APIs have risen to the forefront of software development as a critical tool for bridging the gap between disparate applications and systems, and comprehensive security testing is necessary to prevent API data breaches.

Consumers have no tolerance for errors during digital experiences, with 20% abandoning shopping with a brand after encountering an error, and a quarter sharing their negative experience with others. Poor user experiences can impact brand loyalty, accessibility, and revenue, causing companies to lose paying customers to competitors. Errors can also lead to consumers cursing or throwing things, resulting in physical damage. Continuous testing is key to preventing these negative outcomes and ensuring an excellent customer experience every time.

You can use Python for test automation because it is a popular and versatile language with a strong worldwide community that has released several packages for test automation. Python's compactness, simplicity, and universality make it an ideal choice for beginners and experienced developers alike. Additionally, Python works well with command-line tools, enabling you to build continuous integration/continuous delivery pipelines. It also supports Selenium, which is one of the most widely used frameworks for testing web applications. Selenium provides a suite of tools, including WebDriver, that allow your test script to interact with web browsers and perform actions. To get started with Python-based automated tests, you need a code editor, Python 3, Selenium's WebDriver for Python, and a driver proxy. You can install these components using the command-line tool on macOS or Linux. Once installed, you can run your tests by saving them in a `.py` file and executing it using the `python3` command. Finally, to test complex applications or run multiple tests in parallel, you can use cloud-based testing platforms like Sauce Labs, which provides a scalable solution for Selenium-based web application testing.

Automated API testing is a crucial phase of Continuous Integration and/or Continuous Deployment (CI/CD) pipelines and microservices frameworks. This type of testing validates the functionality of API endpoints, measures their performance, and checks for security, functional correctness, or status checks. With the increasing number of APIs being established and integrated, automated REST API testing has become essential to ensure that APIs are functional and meet business logic requirements. Automated API testing can increase test coverage by automating around 95% of important testing definition, execution, and maintenance operations, improving productivity, providing increased observability, and enabling businesses to realize a return on investment by lowering costs over time.

End-to-end testing is essential to validate requirements, configurations, and functionality, especially in the age of DevOps and continuous delivery. It involves testing software or an application as it will be used by customers from start to finish, taking into account all dependencies and integrations. Effective end-to-end testing follows a seven-step process: defining scenarios, developing a testing environment, analyzing software and hardware requirements, defining how systems need to respond, designing test cases, running tests, and analyzing results. To measure the success of end-to-end testing, developers focus on deviations from the norm under different scenarios, ensuring proper outcomes and flagging any anomalies that need rework. Best practices for end-to-end testing prioritize common user scenarios, make tests realistic, and use error monitoring, unit tests, and integration tests first. However, there are challenges in end-to-end testing, such as complexity, workflow testing, and the need to test in client or production environments, requiring careful planning and pathway development.

Understand the importance of ensuring SLA performance and functional reliability for business-critical APIs in today's digital landscape where over a billion more mobile devices are projected to become connected. API load testing and uptime or ping monitors have traditionally been relied upon, but these methods often fail to reveal issues that arise due to inconsistent or unexpected traffic patterns. Instead, true API performance monitoring is necessary to evaluate how well APIs perform under different conditions, including functional API testing, API latency or speed testing, and API behavior under varying request rates. API load testing can be complex and includes types such as standard load testing, stress testing, spike testing, and soak testing, which may not detect issues that arise due to prolonged periods of high load. Combining API functional tests with performance tests can simplify the overall API testing strategy by reusing functional tests as load tests, allowing for a more nuanced understanding of how APIs handle different load patterns. Ultimately, SRE teams should adopt this approach to increase confidence in production and live environments, expand visibility across the SDLC, and drive continuous improvement through global insights and historic performance trends.

Low code and no code test automation are becoming increasingly adopted by businesses to address evolving challenges. No code tools allow non-technical team members to test software applications without coding, often through a visual drag-and-drop feature set, empowering Citizen Testers with a deep understanding of product intent. However, no code platforms have limitations such as lower extensibility and customization compared to low code tools. Low code test automation provides a user-friendly interface for non-coders to plan, generate, and execute end-to-end tests, offering increased collaboration between developers and testers through features like programmatically added variables, downloadable automation scripts, and integration with CI/CD pipelines. Despite its benefits, low code may introduce security risks due to inexperienced testing practices. Businesses should evaluate these tools based on their stage, employee skill sets, and challenges, considering factors such as team composition, test asset transferability, user accessibility, coding skills, and key features like reusability and scalability.

Salesforce Testing: An Essentials Guide` highlights the importance of testing in ensuring successful deployments, upgrades, and performance of Salesforce, a multi-tenant software-as-a-service (SaaS) platform. To achieve this, organizations should adopt strategic blends of people, processes, and technology, including automated and manual testing, proven tools, and documented processes. The guide emphasizes the need for unit and end-to-end testing to ensure discrete functionality and comprehensive application testing, respectively. Additionally, it discusses load and performance testing, user acceptance testing, integration/API testing, and visual regression testing as critical components of a robust testing process. By leveraging automated testing with prewritten test cases and scripts, organizations can identify code-level or configuration bugs, remediate them, and ensure self-healing application functionality. The guide concludes that Salesforce testing is essential for the success of businesses deploying or managing the CRM platform.

Automated testing is a crucial step in ensuring the quality and reliability of software applications. To get started with testing automation, one must first define goals and scope, prioritize tasks, and allocate responsibilities. This involves creating a testing scenario, drafting test cases, and selecting a suitable testing framework. The process also requires planning for data and keywords, as well as using a testing framework that can be easily reused and scaled. Once the framework is chosen, automated tests can be created and run in the cloud to ensure scalability and efficiency. By approaching software testing systematically, developers can reap the benefits of automation testing, including faster development cycles and improved bug detection. Ultimately, a comprehensive testing platform with advanced features such as test analytics and seamless integration is necessary for successful automation testing.

Performance testing is crucial to ensure that software and systems behave as intended under real-world conditions. It involves testing scenarios such as application response times, data transfer velocity, memory consumption, and network bandwidth usage to identify potential performance problems. The goal of performance testing is to validate the fundamental features of software, improve optimization, and deliver a positive experience for end-users. Common performance issues include slow load time, bottlenecks, poor response time, and poor scalability. Various types of performance tests, such as front-end, load, stress, scalability, spike, soak, endurance, volume, breakpoint, configuration, isolation, and internet testing, are used to measure different scenarios and components. By identifying performance problems early, developers can make necessary changes, fine-tune, and release software with confidence, ensuring a better user experience.

The upcoming release of browser versions 100 by Google Chrome and Mozilla Firefox may cause errors and compatibility issues for some websites. To mitigate this risk, software development teams should test their websites on both Chrome 100 and Firefox 100 before each version is generally available. Various testing options are available, including manual live tests, automated tests using the Sauce Labs Platform Configurator, and forcing the Chrome major version to 100 in automated test scripts. Incorporating cross-browser testing into a testing strategy is crucial to ensure websites look, function, and perform as designed across different browser/OS/device combinations.

Sauce Visual is a visual testing tool that provides technical aspects to find the root cause analysis of visual regressions in tests, including Smart Hybrid Diff, which captures both screenshot and DOM snapshot data for comparison. This allows teams to identify the specific changes made to the UI and understand how they occurred, leading to faster time-to-market and more efficient applications with happier customers. By implementing Sauce Visual, teams can reduce false positives, save engineering hours, and improve their testing experience, ultimately achieving a better balance between automated and functional testing.

The DevOps philosophy aims to increase speed and efficiency in software development by aligning development and operations teams around processes for continuous integration, delivery, and testing. This approach can help organizations ship updates faster, keep customers happy, and increase revenue, while also providing benefits such as increased collaboration, reduced risk, and continuous feedback. However, DevOps fits into widely used waterfall- and agile-style development methodologies, and its application to agile testing involves implementing continuous integration and delivery practices that enable small but frequent software updates, with the goal of increasing speed and quality signals through a continuous feedback loop. By prioritizing automation and aligning teams around CI/CD processes and best practices, organizations can take a gradual approach to transitioning from waterfall-style development to an agile, DevOps-centered testing strategy.

With thousands of different web browsers, operating systems, and device combinations available, cross-browser testing is crucial for software companies to ensure a consistent user experience across every customer. This process involves testing a web application or website across multiple browsers to identify and fix any issues prior to release, ensuring that every customer has a positive user experience with the product. Different browsers handle JavaScript differently, making it essential to use cloud-based cross-browser testing platforms that provide infrastructure and tools for comprehensive testing. These platforms enable parallel testing, visual testing, and scalability, allowing software development teams to scale testing coverage without compromising speed or quality. By incorporating cross-browser testing into their software development and QA processes, organizations can build digital confidence, unlock new revenue opportunities, and prevent delays in the development process due to late-stage bugs.