Systems | Development | Analytics | API | Testing

Crashes, Compliance, Chaos: Modern Challenges for Finance Orgs

The financial services (FinServ) industry is constantly evolving and scaling, with global investment hitting $210 billion in 2022. Digital transformation has brought millions of customers online, and their demand for a smooth, secure, and responsive experience from financial institutions is growing fast. As the industry grows, challenges are inevitable – it seems like every week there’s a story in the news about an outage or data breach at a financial institution.

Expert Advice on Integrating APIs with Legacy Systems in 2025

Application programming interfaces (API) play a critical role in the digital ecosystem. This online middleman allows software systems to communicate with each other. But what is it exactly, and how does it work? Case in point: When you use an app to check the weather today, the API pulls data from the weather service and shows you the information on your device.

How to Track Service Level Objectives with Kong and OpenTelemetry

In this blog post, we will explore how organizations can leverage Kong and OpenTelemetry to establish and monitor Service Level Objectives (SLOs) and manage error budgets more effectively. By tracking performance metrics and error rates against predefined thresholds, teams can prioritize their work based on the impact on user experience and business objectives. This approach helps optimize the balance between innovation and reliability.

Building and Running Secure APIs with Kong and Traceable

Cloud native application development relies heavily on APIs. APIs have proven themselves as a scalable and efficient way to capture, deploy, and scale functionality. Consequently, APIs became a target for malicious actors to misuse. Therefore, building quality APIs with adequate security controls is essential. Kong is the world’s most popular API gateway. Kong Konnect is a unified API platform.

From Vision to Venture 04: Kin Lane - API Evangelist

In this engaging conversation, Derric Gilling, CEO of Moesif, and Kin Lane, the API Evangelist, explore the challenges and opportunities of API monetization and productization in today’s enterprise world. Kin shares insights on rising API costs, the shift toward efficiency, and the balance between openness and control—especially in an AI-driven landscape.

How Visual Dashboards Empower Safe and Simple Database Updates

Managing databases doesn't have to be complex. Visual dashboards simplify database updates, making them safer and easier, even for non-technical users. Powered by tools like DreamFactory APIs, these dashboards provide secure, user-friendly interfaces for tasks like updating records, managing schemas, and exploring data - all without direct database access.

Top 3 Free Bug Triage Tools 2025

A major part of software development is to be able to maintain bug-free code. The more intricate the code bases started to grow, the more chances there are of spotting a bug. Without an efficient way to manage these issues, development workflows become disorganized, deadlines slip, and critical issues get overlooked. Bug triage software offers a data-driven approach to categorizing and prioritizing bugs, revolutionizing how development teams address quality challenges.

What Is Shadow Traffic? All You Need to Know

Production traffic can often be unpredictable, and distinguishing genuine user interactions from mere noise becomes a pivotal step in comprehensively grasping the types of requests and workflows occurring within your deployment. One important concept to explore in this context is shadow traffic, which plays a significant role in analytics and cybersecurity but is often misunderstood or rarely discussed.

Top 5 Ai-Powered Vs Code Extensions For Coding & Testing In 2025

One of the software industry’s most important pain points in testing is “Coverage”. It is manually impossible to generate test cases while covering edge cases and different scenarios with the scale of how much code gets written each day. AI Agents here save time and improve test coverage and reliability. Developers can now focus on core logic while AI handles repetitive and error-prone tasks like writing unit tests.