Systems | Development | Analytics | API | Testing

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.

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?

The development of SmartBear API Hub, powered by Swagger, represents a significant advancement in how teams manage, test, and optimize API workflows. Our journey to create a cohesive, unified suite – API Hub – required integrating standalone products into a single, robust ecosystem, establishing a seamless user experience that bridges workflows across each product.

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.

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.

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.

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.

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.

Discover the strengths of PostgreSQL and MySQL. Compare features, performance, and use cases to find the best database for your next project.

As AI technologies continue to revolutionize industries, organizations must balance innovation with responsibility. Kong understands that embracing AI involves not just adopting new tools but also ensuring they're secure, compliant, and sustainable. During a recent visit to Singapore, Kong's Co-Founder and CTO Marco Palladino highlighted the critical need for a robust governance framework to manage the rapid pace of AI innovation responsibly.