Systems | Development | Analytics | API | Testing

Tracing TLS (Transport Layer Security) traffic is crucial for modern observability systems. It helps monitor encrypted communication, diagnose issues, and optimize application performance. However, traditional methods like TLS proxying and packet capturing often come with significant performance overheads and security risks. They are not always the ideal solution, particularly for high-performance or security-sensitive environments.

When it comes to creating loops in programming, the C# language offers plenty of options: while, do-while, for, foreach, and even the ForEach() method of the List class. Among all of those, the C# foreach loop is arguably the most popular one, at least when it comes to iterating through the items of a collection. Using this language construct is quite intuitive, but do you really understand how it works?

In-house testing methodologies fail when software products approach the production phase, and testing under real-world conditions becomes critical.

Imagine trying to navigate a road trip without a map, speedometer, or gas gauge—you might eventually get there, but it’s going to be stressful, and you could run out of fuel halfway.

Business leaders today face a critical challenge: How do you move from analyzing what happened to confidently predicting and shaping what comes next? Throughout 2024, we've enhanced Qlik Cloud's predictive AI capabilities to help organizations bridge this gap, enabling them to predict future outcomes, understand key drivers, and take informed action.

Today, we are excited to announce the general availability of Claude 3.5 Sonnet as the first Anthropic foundation model available in Snowflake Cortex AI. Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API interfaces, within the Snowflake security perimeter.

In today's fast-paced software development landscape, maintaining application stability while delivering new features is a constant challenge. According to recent industry data, 80% of software defects are discovered after code has been merged into the main branch, making regression testing a critical component of quality assurance as we explained in our blog post: " Guide to Regression Testing: Example Test Plan & Best Practices".

With over 6.1 billion smartphone users expected by 2028, how will your app be unique in a highly saturated and competitive environment? It is all about proper mobile app testing, or rather, the lack of it in most cases. Good usability and high-level user experience are the major factors in the current conditions of market competition. That is where tools like emulators and simulators are really useful.

Artificial intelligence (AI) has become an integral part of modern software, driving innovation across industries from healthcare to finance. However, as AI systems increasingly influence critical decisions, concerns around bias, fairness, and ethical implications have come to the forefront. Quality Assurance (QA) professionals are uniquely positioned to address these challenges, ensuring that AI systems are not only functional but also equitable and ethical.

Over 70% of global enterprises generate, store and use their data in hybrid environments. But while hybrid cloud adds flexibility, it also introduces complexity. This often leads to customers avoiding implementation of mixed virtualization and container platforms in order to prevent additional complexity and to address talent shortages, as each platform is intricate and requires specialized skills.