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The latest News and Information on Software Testing and related technologies.

Playwright vs Selenium: The Ultimate Guide to Modern Test Automation (2025)

The landscape of test automation is constantly evolving, with Playwright and Selenium standing as two prominent frameworks in 2025. According to recent statistics, while Selenium maintains its position as the most widely used automation framework with a 39% market share, Playwright has shown remarkable growth, increasing its adoption by 235% in the past year.

What does OOMKilled mean and how do I prevent it?

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

Top FinTech Trends To Watch Out For In 2025

2025 is going to be a big year for fintech. Many regulations, collaborations, and innovations that have emerged in 2024 will improve how fintech businesses engage with their customers in 2025. The market was already projected to be more than $608.35 billion by 2029. The valuation is only going to increase in the coming year. With all the changes in banking, payments, investment, and other financial sectors, the fintech space is up for substantial developments in 2025.

gRPC Golang Example: Using gRPC with Golang | Speedscale

In this tutorial, you will learn how to work with the gRPC Golang library for microservice communication by creating a simple note-taking application. You will generate a gRPC client that is highly efficient and has a service implementation that handles a diverse range of request and response types. APIs and service-to-service communication are what make modern microservice architecture possible.

Redefining Software Testing with GenAI

Today, the demand for high-quality applications has never been greater. Agile methodologies, coupled with the rise of continuous integration and delivery (CI/CD), have significantly increased the frequency of software releases. Companies now deploy updates daily or even multiple times a day, placing immense pressure on QA teams to ensure reliability without slowing down the development pipeline.

Gorilla Testing Vs Monkey Testing - What'S Right For You

Imagine you’re testing a specific feature in an app, say the login page. You’ve already run your test cases, and things look fine, but you want to go further. What if you hammer this one feature repeatedly, trying to break it by using unexpected inputs or extreme scenarios? Gorilla testing is an approach that is preferred when we are trying to understand in depth about a particular functionality.

Graphql vs GRPC : Key Differences

APIs have never had more connections and requests for data. With variable data types, changing programming languages, and a demand for high performance, even with an increased focus on authentication mechanisms and data security, it’s never been more critical to figure out the efficiency of your systems. Enter GraphQL and gRPC.

Access Control Testing: Principles, Vulnerabilities & Tools

Access control, also known as authorization, is a critical aspect of application security that ensures users can access only the resources they are permitted to use. And a failure in access control,- can lead to unauthorized data exposure, privilege escalation, or system compromise. Imagine, What if the keys to your house were lying in plain sight, allowing anyone to walk in? That’s exactly what broken access control feels like for hackers.

3 Best Practices for SQL Data Masking at Scale

Discover how to efficiently mask SQL data at scale. Explore the best practices based on our extensive experience with large enterprises. Almost every enterprise has SQL databases, which means they need SQL data masking. Some SQL databases have built-in masking options, such as Microsoft SQL Server dynamic data masking. But is that the right approach? And what about all of your other databases and data sources?