Systems | Development | Analytics | API | Testing

Patient care systems don’t shut down for maintenance. Emergency rooms process admissions at 3 AM. Surgical units access medical histories mid-procedure. Yet healthcare organizations still face a persistent challenge: moving years of clinical data, billing records, and operational systems to modern platforms without interrupting any of these critical functions. This operational reality creates a specific technical problem.

You’ve probably been there: your AI coding assistant just generated what looks like a perfect solution to your problem. Decent code quality, reasonable structure, and even some comments. You run it, and… it works. So you ship it. Three weeks later, your production logs are full of 500 errors from edge cases the AI never considered, or worse, you discover the code has been making unvalidated database calls that could have been prevented with basic input sanitization.

Test data compliance efforts are falling behind development speed, creating a dangerous gap exploited by bad actors and scrutinized by regulators. It's a wake-up call: Dev and test environments are under stricter regulatory scrutiny than ever. In my role as Senior Product Manager for Delphix, I regularly work with enterprise teams who are discovering this reality the hard way.

In today’s fast-paced digital environment, software quality assurance services are no longer a choice in the development process; they are a requirement. SQA is not simply about identifying bugs; it is about preventing defects before they occur and making sure that software consistently delivers a great user experience.

An iPaaS, or integration platform as a service is a cloud-based integration platform that acts as a central hub to seamlessly connect and manage different applications, data sources, GenAI models, knowledge bases, and AI agents wherever they are deployed—cloud-based, on-premises, or hybrid.

Adalo and DreamFactory make app development faster and easier by combining no-code front-end tools with automated backend API generation. Adalo lets you visually design apps without coding, while DreamFactory creates secure, ready-to-use REST APIs for your data sources in minutes. Together, they simplify complex tasks like database integration, API management, and secure data handling. Here's what you can achieve: Quickly build apps: Use Adalo's drag-and-drop interface to design and publish apps.

While more and more organizations are seeking to standardize and consolidate their API and AI infrastructure efforts in a unified platform, the reality is that many — especially large — organizations already have disparate API deployments across disparate API gateways. One common API gateway that most enterprises have running at least somewhere is AWS API Gateway, as it is often seen as an easy-to-get-started-with solution for teams that are already running cloud workloads on AWS.

One of the principals of Moesif’s efforts has been making API analytics more accessible and easier to use for everyone. We have helped enterprises of different sizes and use cases grow and succeed with their API and AI products through data-backed insights.

Did you know that nearly 35% of software bugs detected in late stages could have been caught at the build stage—if a proper smoke test were in place? What’s worse: those bugs often cost 10× more to fix later. If you’re a business owner or DevOps lead pushing for faster releases, you can’t afford to skip basic checks.

Hey everyone, Launch days are always exciting, and today, I couldn’t be happier to share something we’ve been working hard on: the MCP Server in Katalon Studio. This isn’t just another update. It’s a milestone for StudioAssist and for all of you who are looking to move faster with AI. With this release, we evolved StudioAssist from simply answering your questions to becoming your Agentic AI assistant. That means it doesn’t just tell you what to do.