Systems | Development | Analytics | API | Testing

The financial services industry is experiencing a fundamental transformation. API-led banking is taking a more definite shape with more than 50% banks actively deploying APIs to support open banking frameworks and fintech collaboration. From centuries-old institutions to cutting-edge fintech challengers, financial organizations are embracing API-first architectures to deliver scalable, secure, and customer-centric experiences.

The UK remains a global powerhouse for financial technology, driven by the maturity of Open Banking and the competitive landscape of challenger banks. However, this growth has come under the microscope of the Financial Conduct Authority (FCA). For FinTech and payments firms, the challenge is clear – how do you maintain the rapid velocity of a digital native while upholding the rigorous standards of a highly regulated environment?

Modern AI teams want governed, low-latency access to operational data without hand-coding ad hoc services. This list analyzes the best API platforms for exposing Microsoft SQL Server to AI and LLM workflows, think RAG pipelines, function calling, and analytics copilots, through secure, performant APIs. It reflects DreamFactory’s perspective on what matters for production AI, while evaluating alternatives fairly.

When Workday data masking isn't done right, your organization faces millions in potential fines and devastating data breaches. Workday stores some of your most sensitive information: Employee data. Payroll details. Benefits information. Financial records. All of it needs protection, especially in non-production environments where developers and testers work every day. The stakes are high.

One of our recurring jobs at Tideways is to ensure that all of our instrumentation works with new and upcoming PHP versions. For us, “working” doesn’t just mean that the results are correct, but that your PHP extension is fast, gathering insights for our customers with a minimal performance overhead.

One of the key tasks of a finance/banking/insurance QA team is to ensure that defects never slip into production. Automation testing plays a critical role in accomplishing that task. However, now that we have AI, the industry is changing. Fast. Just automation testing is not enough. It should now be augmented by the capabilities of AI. When done right, AI-augmented automation testing is a game-changer for QA teams in finance firms. Here's the playbook to help your team achieve exactly just that.

JSConf North America 2025 brought together the brightest minds in the JavaScript ecosystem: from maintainers and contributors to companies driving innovation across runtimes, frameworks, and platforms. For NodeSource, this year’s event was especially meaningful, filled with major announcements, community recognition, and deep discussions about the future of JavaScript. Here are some of our biggest highlights from the week.

Fivetran moves data. Partnership enhances business value.

Software testing at scale comes with unique challenges. Large organizations manage thousands of test cases across multiple projects, often under strict compliance standards and within fast-moving CI/CD pipelines. Until recently, Xray Enterprise existed as an add-on to the main Xray Test Management for Jira app, requiring customers to install and manage both solutions. This created confusion around licensing and setup, and made it harder for teams to understand what they were really getting.

As you wrap up Cybersecurity Awareness Month, take a moment to think about what defense and compliance really share; protecting data you can trust and proving it when it counts. It’s also important to remember that if that data gets called into question, nobody cares what the slide deck says. They care what the system that stores it can prove. That makes it essential to have data infrastructure that can back it up.