Systems | Development | Analytics | API | Testing

‍ For many enterprises, their legacy systems are becoming more of a liability than an asset, slow to change, expensive to maintain, and risky in today’s security climate. But the rise of cloud infrastructure isn’t just hype: 94% of enterprises report using cloud services in some form by 2025. Moreover, the cloud‐first mindset has gone mainstream. According to Gartner, 85% of organizations will embrace a cloud‐first strategy by 2025.

‍ Every online transaction today hinges on one thing: trust. But building that trust through a secure, seamless payment gateway is far more complex than just adding a “Pay Now” button. Businesses grapple with rising fraud, tightening regulations, and customers who expect one-click, frictionless checkouts. Consider this: online payment fraud losses globally are projected to exceed USD 343 billion between 2023-2027.

‍ 2025 is turning out to be a big year for AI agents. Grand View Research notes that the global AI agent development market, worth about USD 5.40 billion in 2024, could soar to nearly USD 50.31 billion by 2030, growing at a remarkable 45.8% CAGR. And it’s not just about numbers. A recent McKinsey report highlights that agentic AI is the next logical step after generative AI. Evolving from simple task execution to actively driving goals and delivering results that make a measurable difference.

Organizations tend to accumulate data systems the way cities accumulate roads—one at a time, for specific purposes, typically with little consideration for how they’ll eventually need to work together in the future. Customer records sit in five CRMs. Financial data spans three ERP systems. Operational metrics scatter across dozens of legacy databases. The infrastructure works. Each system performs its designated function.

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.