Lenses 6.0 | Preview | Autonomy in data streaming
Lenses can now help you to work with data streams on one screen, regardless of how you select your streaming data architecture. This is how we see autonomy in data streaming.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Remote Build Caching: The key to fast, efficient builds
When it comes to mobile app development, slow build times are not only the biggest source of frustration for developers but also the greatest barrier to innovation and competitive advantage. We surveyed developers at DroidCon New York and they overwhelmingly reported that build delays hindered their ability to release new features, fix bugs, and iterate quickly. Two-thirds of respondents said they wait more than 10 minutes for their mobile builds.
Snapshots: Create a Point-in-Time Copy of your High-Performance Volumes
Today, we are excited to announce the availability of Volume Snapshots in public preview! Snapshots are an essential feature to backup your High-Performance Volumes, simplify data management and allow reproducibility. With Snapshots, you can create an immediate point-in-time copy of your Volumes with a simple CLI command or click, enabling: Volumes and Snapshots are available today in our Frankfurt, EU and Washington, US regions!
Building Reliable AI models on Snowflake
Step into the future of AI with Snowflake and Hevo—where innovation meets reliability. Join us for an exclusive webinar to explore how Snowflake's cloud-native platform is empowering organizations to build reliable, scalable AI models. With cutting-edge advancements like Cortex AI and RAG, Snowflake sets the foundation for AI-driven transformations across industries. Discover how to harness these powerful capabilities to develop of Snowflake that delivers faster, more accurate results for your data-driven projects.
Comparative Analysis of AI Test Automation Tools
Explore top AI-based test automation tools like testRigor, Applitools, Mabl, Testim, and Perfecto to revolutionize your testing process.
Share Snowflake Cortex AI fine-tuned LLMs from Meta and Mistral AI
The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.
Deliver Reliable Apps with Network Capture and Throttling in Sauce Labs Real Device Cloud
Did you know that 70% of mobile app users will abandon an app if it takes too long to load, while 57% will consider switching to a competitor after just 3-4 negative interactions with a company’s website or mobile app?
Everything you need to know about AI Agents in analytics
A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.
Bitrise on AWS: Benefits of using a cloud-native mobile CI/CD solution
In the fast-paced world of mobile app development, a seamless, secure, and adaptable CI/CD process is essential. Bitrise has established itself as a leader in this domain, providing a mobile-focused CI/CD platform that allows you to automate all your build, test, and deployment workflows. But what if regional restrictions, data sovereignty, or compliance regulations prevent your organization from implementing a managed CI infrastructure like Bitrise?
No-Code, No Problem: AI-Powered Automation for Manual Testers
“Quality is more important than quantity. One home run is much better than two doubles.” – Steve Jobs In the world of software testing, this quote couldn’t be more relevant. If you’re a manual tester, you know the pressure to deliver high-quality results, often within tight deadlines and limited resources. Yet, with today’s fast-paced software development cycles, meeting these demands through manual testing alone is increasingly challenging.