Systems | Development | Analytics | API | Testing

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.

Apache Iceberg is transforming how organizations hanle data by solving key challenges in traditional data warehousing. It offers schema evolution without downtime, automated partitioning, ACID compliance, and time travel for historical data access. Its open table format separates storage and compute, enabling scalability, flexibility, and cost efficiency.

Last month, TestGuild’s Joe Colantonio sat down with two of SmartBear’s product wizards to discuss the world of developer observability and upcoming trends. Eran Grabiner is co-founder of distributed tracing tool Aspecto, which was acquired by SmartBear earlier this year. Right now, he works as Director of Product Management for Aspecto spearheading observability projects. Justin Collier is a longtime member of the SmartBear team and currently serves as Senior Director of Product Management.

Hello, and welcome to part two of the BugSnag Beginners Series! We will cover the error details page and how it can be used to maximize error debugging in your BugSnag Dashboard. We’ll start by going over how error details heading information is organized, followed by what different pivots mean, how the status box works, where to find diagnostic data, and lastly how to create custom filters using your error’s metadata.