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You’ve put a lot of work into getting traffic to your site and conversions are low. The good news is you’re not alone—many businesses have the same problem. The even better news is there are proven ways to increase your conversion rate and get more from your website. Conversion Rate Optimization (CRO) testing is the foundation of all of these strategies. Through trial and error of the tools and techniques, the best practice is found and the audience is reached.

Over the last three geospatial-centric blog posts, we’ve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY, GEOMETRY and H3. Those articles are great for dipping your toe in, getting a feel for the water and maybe even wading into the shallow end of the pool. But there is so much more you can do with geospatial data in your Snowflake account!

NYC, often referred to as Istanbul’s command-line interface (CLI), is a powerful code coverage tool designed specifically for JavaScript testing. It works seamlessly with testing frameworks like Mocha, Jest, and Ava, making it an invaluable resource for developers looking to measure and improve the coverage of their tests. NYC not only tracks how much of your code is covered by your existing test suite but also provides detailed reports that help identify untested parts of your codebase.

As we step into the new year, it’s the perfect time to reflect on the exciting advancements Confluent made in 2024. Our Q4 launch wrapped up the year with a host of powerful features paving the way for even more innovation in 2025. This launch is all about delivering private networking and enhanced security across the data streaming platform.

Generative AI has rapidly transformed industries by enabling advanced automation, personalized experiences and groundbreaking innovations. However, implementing these powerful tools requires a production-first approach. This will maximize business value while mitigating risks. This guide outlines six best practices to ensure your generative AI initiatives are effective: valuable, scalable, compliant and future-proof.

Welcome to 2025! We are now officially a quarter of the way through the 21st century – and isn’t that a crazy thing to wrap your head around? We’ve survived a lot in the last 25 years. The early 2000s saw the dotcom bubble, the Enron scandal, and passage of the SOX Act. By 2010 the world was deep in the Great Recession and working hard on recovery. More recently we suffered the Covid-19 pandemic and subsequent market instability.

As we move into 2025, software testing is not just about identifying defects. Organizations strive for scalability, efficiency, UX, and security to meet modern software engineering practices. The software testing world is transforming at its peak, initiated by innovations, advanced technologies like Artificial intelligence, and higher business expectations.

We’re excited to announce that BugSnag is now officially SmartBear Insight Hub. This evolution reflects the broadening of our capabilities beyond error monitoring to encompass full-stack observability with real-user monitoring, backend performance monitoring, and distributed tracing.

Part 1 of a 3-part series IT teams are increasingly tasked with supporting the unprecedented growth in data across their organizations. Businesses are constantly seeking innovative solutions to manage their growing data needs efficiently and cost-effectively. Software-defined storage (SDS) is seen as a game-changer and competitive edge for many teams, offering unprecedented flexibility and scalability. Consider this: How many great ideas have been put on hold because your storage couldn't keep up?

In light of the recent deprecation of MongoDB Atlas Device Sync (ADS), developers are seeking alternative solutions to synchronize on-device data with cloud databases. Ably LiveSync offers a potential alternative and can replace some of ADS’s functionality, enabling realtime synchronization of database changes to devices at scale.