Systems | Development | Analytics | API | Testing

Cloud-native development, and the resultant rise of DevOps, has transformed how software is built, deployed, and maintained. By embracing containerization, microservices, and continuous delivery, organizations have been able to deliver features faster, scale with demand, and recover from failures more gracefully than ever before. Many organizations are adopting these practices to keep up with industry demands and improve efficiency and security.

The future of testing isn’t about replacing humans with AI. It’s about augmenting your team’s capabilities. Assistive AI tools can summarize logs, generate test cases, triage defects, and surface insights - all while keeping humans in control. This low-risk, high-leverage approach helps enterprise teams move faster, improve coverage, and focus human judgment where it matters most. Start small, measure impact, and treat AI as a test assistant - not a magic box.

Modern applications increasingly demand that SQL Server data be exposed via REST APIs—for dashboards, integrations, mobile/web front-ends, or third-party systems. But there are many ways to make that happen. In 2025, what makes a “no-code API connector” best suited for SQL Server? This post lays out a decision framework, and then walks through options so you can choose the right tool for your needs—**especially how DreamFactory fits in.

In the rapidly changing world of software development, the automated tools that we use must also keep pace with the changing environment. Playwright and Selenium are two of the most popular frameworks for browser automation and have their own advantages based on your need. This guide will allow you to compare Playwright vs Selenium. We will review the key differences, advantages and disadvantages, which will allow you to make a well-formed decision on your testing strategy into 2025.

Add sketches, notes, and requirements directly to your full stack session recordings. Highlight interactions, API calls, or traces and turn them into actionable development plans or AI prompts. Traditional session replay tools give you a window into what the user saw. A few let you blur sensitive data or leave a quick sketch. Some rely on third-party integrations to manage annotations at all.

With recent performance improvements to BigQuery, users can expect gains in scalability, reliability, and usability across BigQuery and BigQuery ML.

As artificial intelligence (AI) matures from experimentation into production use cases, the symbiotic relationship between data and AI becomes increasingly clear. To deliver real business impact—smarter automation, better customer experiences, and massive cost takeout—AI use cases are only as powerful as the data they’re running on.

This is the second post in a series about reasons to attend API Summit 2025. Check out the previous post here. To unlock Kubernetes’ full potential, many enterprises are relying on three key building blocks available in Kong Konnect today: Together, these components extend Kubernetes from being just a container orchestration platform. They lay the foundation for Kubernetes to support the exposure, governance, and operation of APIs — and the AI workflows that increasingly rely on those APIs.

Swift Composable Architecture (TCA) is one of the cleanest and most scalable ways to build iOS and macOS apps today. Created by Point-Free, it pulls together state management, side effects, dependency injection, and modular design into one consistent and predictable system. Whether we’re crafting a tiny feature or designing a full-scale app, TCA helps us write Swift code that’s easier to test, easier to work out, and a lot less painful to maintain over time.