Systems | Development | Analytics | API | Testing

APIs (application programming interfaces) have transformed how we build modern software systems. As our digital experiences become more modular and interconnected, APIs power mobile apps, partner integrations, and internal services. Most companies now expose APIs not just for technical access, but as part of a larger API business model. But simply deploying APIs through a gateway like Gravitee doesn’t suffice.

In this episode, Derric Gilling chats with James Higginbotham, founder of LaunchAny, about designing successful API strategies that drive business value. James dives into his “Align-Define-Design-Refine” (ADDR) methodology, a framework that guides organizations from initial business alignment through iterative API design and deployment.

In this episode, Derric Gilling sits down with David Biesack, Chief API Officer at Apiture, to discuss building an API-first, customer-centric digital banking platform from the ground up. David shares the origin story of Apiture, a joint venture born from a vision of open banking, and how his team embedded API design and governance into every layer of the product.

Next.js (a React framework) and Vercel (the platform created by the Next.js team) are renowned for providing a smooth and efficient development workflow. This allows developers to quickly build, test, and iterate on interfaces for AI features, which is crucial in the rapidly evolving AI space. Features like Fast Refresh, easy setup, and integrated tooling speed things up considerably.

WSO2 APK (WSO2 API Platform for Kubernetes) provides a robust, Kubernetes-native platform for managing APIs. It’s purpose-built for cloud-native teams requiring fine-grained control over APIs in modern, distributed environments. With support for microservices architecture, secure ingress, and service discovery, APK solves the infrastructure side of the API equation.

As developers, we know how essential APIs have become in building modern software systems, from internal services to public-facing products at scale. We spend countless hours crafting elegant code, meticulously designing interfaces, and ensuring everything should work flawlessly. And, we must ship these services fast to stay competitive. But what happens after deployment? In reality, even the most beautifully crafted API can fall flat without deep insight into its real-world usage.

In this episode, Derric Gilling, CEO of Moesif, sits down with Mike Amundsen, a leader in the API ecosystem, to explore the evolving role of observability in API design and customer experience. They break down the differences between machine vs. customer observability, best practices for tracking key metrics, and the importance of designing observability into APIs from the start.

A report by Bloomberg Intelligence projects the AI industry will reach $1.3 trillion by 2032, with proprietary data fueling much of this growth. As businesses increasingly adopt generative AI (genAI) to enhance efficiency, data is rapidly becoming one of the most valuable assets in the digital economy. Foundational AI models require vast amounts of data for training, and many AI products are now leveraging proprietary datasets alongside these models to power innovative applications and AI agents.

We strive for predictable, controllable systems. We demand precise understanding of resource utilization, performance characteristics, and failure modes for our AI apps. An ideal AI-powered application behaves like any other well-instrumented component of the architecture—transparent, debuggable, and optimizable.

Currently, the job market is fully driven by data, so companies can either miss out on the opportunities this offers or leverage them as additional income generation source. Jobs API provide a goldmine of opportunities for businesses looking to generate revenue. The Jobs API is a powerful search tool for HR technology companies who wish to access an up-to-date database or have the capability to obtain pertinent job postings as needed.