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Don’t Let Load Testing Lead You Astray Don’t Let Load Testing Lead You Astray

While traditional, "closed system" models might seem familiar, they miss the unpredictable nature of real user arrivals. This article highlights how open system models, which mimic real-world user behavior, expose performance bottlenecks at high load that closed models can't catch. Remember, arrival rates, not virtual user counts, are the key to unlocking accurate load testing results.

Roger Durham's picture Roger Durham
Testing Kubernetes Clusters: A Practical Guide Testing Kubernetes Clusters: A Practical Guide

Thorough testing of Kubernetes clusters is critical for any organization that values high-quality application delivery, resilience, and security. An untested Kubernetes cluster represents major risks for your organization. Therefore, a comprehensive Kubernetes testing strategy is not just good practice—it's essential for the success of your IT and development projects.

Gilad David Maayan's picture Gilad David Maayan
Real-Time Data Streaming Using Kafka Real-Time Data Streaming Using Kafka

Kafka testing emerges as a linchpin in the construction of robust, reliable data streaming applications. Whether you’re scrutinizing producers, consumers, or the entire data conduit, the bedrock of a well-structured testing strategy proves instrumental in ensuring the optimal performance of your Kafka-driven system in production.

Deepika Kale's picture Deepika Kale
AI/ML Testing and Your Test Future (Part 2) AI/ML Testing and Your Test Future (Part 2)

AI, AI, AI—it is everywhere. We all read this in the news, see it in politics, in our web traffic, and now it’s coming to our tools. Interestingly, testing has been identified as one of the most essential areas for AI as well as for the safety of the public. This article considers references to start you on your AI test journey, "classic AI" problem areas, and identifies possible concepts to use when testing AI. As usual, it comes down to a willingness to learn new things or apply historical ideas to advance your test career.

Jon Hagar's picture Jon Hagar
Generative AI—Is It the Catalyst for Evolution in Test Automation? Generative AI—Is It the Catalyst for Evolution in Test Automation?

Generative AI is changing testing practices by automating the creation of test cases, adapting to software changes and improving test efficiency. This highlights the growing importance of artificial intelligence in improving test coverage and accuracy, making test automation even more adaptive and intelligent. It has the potential to change the way software is tested, ultimately leading to higher-quality software products.

Rohit Khankhoje's picture Rohit Khankhoje
Discover YAML Based Test Automation Framework with Maestro Discover YAML Based Test Automation Framework with Maestro

The Maestro Automation Framework stands out as a robust open-source tool, offering a plethora of features beneficial to software development teams. While it boasts of many strengths, it is essential for organizations to be aware of its limitations. By understanding these limitations and adhering to best practices, teams can harness Maestro's capabilities to its fullest, ensuring efficient testing processes and the delivery of top-tier software products.

Arvind Kumar Bhardwaj's picture Arvind Kumar Bhardwaj
Exploratory Testing: Why Is It Not Ideal for Agile Projects? Exploratory Testing: Why Is It Not Ideal for Agile Projects?

As the Agile environment has efficient principles that allow quick responses to changes and the ability to deal with uncertainty, exploratory testing may seem like a perfect match for such projects. However, this is only partially true. In reality, diverse reasons impede its usage in Agile projects, and companies should take them into account before designing QA strategies.

Vitaly  Prus's picture Vitaly Prus
Benefits of Using Static Code Analysis Tools for Software Testing Benefits of Using Static Code Analysis Tools for Software Testing

Static code analysis tools offer a range of benefits for software testing. By identifying potential issues early on in the development process, these tools can help improve the quality and reliability of software, the codebase’s maintainability, and software security by identifying potential vulnerabilities and security issues.

David Fagbuyiro's picture David Fagbuyiro
The Rise and Fall of Protractor, and Why You Should Stop Using It

Protractor has been a popular choice for writing end-to-end (E2E) browser tests over the past decade. However, Protractor is being removed from the Angular project as of Angular 15 due to a loss of dedicated developers and the rise of better testing frameworks. Based on this state of affairs, what should developers working with Protractor do, and what tool choices do developers have going forward?

Joshua Grant's picture Joshua Grant
Uplifting QA Teams Through Metrics Uplifting QA Teams Through Metrics

As software products and services are becoming more complex, it requires more comprehensive testing for identifying the defects and pursuing the necessary fixes before it becomes available for public release. The QA process needs to be planned out and monitored so that it can be successful. The most effective way to track the efficacy of QA activities is to use well-thought-through metrics.

Dilruba Malik's picture Dilruba Malik

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