Systems | Development | Analytics | API | Testing

Accessibility and localization often seem like separate disciplines, each with its own set of guidelines and goals.

In today’s data-driven software-as-a-service (SaaS) environments, the need for complete customer insights often requires fetching and sharing data that lives across multiple API endpoints. That’s why many of our customers want to use Confluent’s data streaming and integration capabilities to implement real-time API chaining—a technique that allows them to automatically follow relationships between APIs.

DreamFactory and Postman serve fundamentally different roles in the API development lifecycle. DreamFactory is an API generation and backend platform that automatically creates production-ready REST APIs from databases and other data sources, while Postman is an API development environment focused on testing, documentation, and collaboration. Though both platforms involve API management, DreamFactory generates and deploys APIs while Postman helps developers test and consume them.

Manual testing is still essential, but it’s often disconnected from automation. The new Manual to Automation capability in Katalon bridges that gap. It converts manual test runs into automated scripts instantly, linking them for unified coverage.

Non-crashing bugs don’t make your app crash, but they can ruin the user experience and hurt your app’s ratings. Fixing these issues is critical to keeping users happy. Here’s a quick rundown of the most common non-crashing bugs and how to address them.

One of the most critical ways to validate real user journeys across any application is through end-to-end testing. Modern software stacks have grown so distributed that manual E2E testing grows increasingly hard to maintain and nearly impossible to scale. This is where automation in end-to-end testing helps engineering teams with the reliability, speed, and confidence during every release.

This blog expands on insights Amjadh Ifthikar shared during his WSO2Con Asia 2025 presentation. Watch the full session here.

Do you find yourself questioning why popular apps sometimes crash or act unusually? Regardless of how hard software is crafted, bugs are a huge obstacle for teams, often resulting in unhappy users, lost revenue, or even product release delays. Most organizations are unable to track these bugs effectively and so they often use a mix of spreadsheets, or scattered scribbled notes and lose them in the shuffle—causing confusion, repeated work, and issues that aren’t resolved.

Over the past few years, model providers have invested heavily in “guardrails”: safety layers around large language models that detect risky content, block some harmful queries, and make systems harder to jailbreak.