Systems | Development | Analytics | API | Testing

(APIs) Quantum Duality of "API as a Business and Technology"

Every thriving API program leverages the elements from business and technology equally. Alignment of business and technology strategy, the synergy between business and technical teams, and adaptability to the changes coming from either business or technology are fundamental characteristics of such an environment. Asanka Abeysinghe, WSO2, Chief Technology Evangelist will look at four areas, federation and business models, moving to the cloud, polyglot and heterogeneous approach, and modernizing development during this talk. He will also share real-world examples based on his involvement in numerous success stories.

Managing Asynchronous APIs (API:WORLD)

Polling-based APIs or the #RESTfulAPIs were the main building blocks of traditional integration stories. But with the need to respond to events in real-time, integration architecture has shifted from being polling-based to event-driven. With the emergence of reactive event-driven architecture, the asynchronous APIs were able to hold their distinct position in modern-day integrations. Even though the event-driven APIs provide their own advantages such as high resiliency, high responsiveness, and more, management of #asynchronousAPIs continues to be a challenge to the organizations.

GraphQL vs REST - a low-code API showdown

REST and (the newer) GraphQL APIs are the core technologies behind the vast most of today’s integrations. These APIs allow external developers to tap into the functionality of the major platforms and build in their custom functionality to suit their needs. The fundamental difference is that REST is an architectural design framework based on HTTP, while GraphQL is a query syntax that is not transport-dependent.

Creating a User Funnel in Moesif

User funnels allow businesses to analyze how individual users are using and converting within their product. Funnel metrics can show how many users are converting through each stage of the funnel and the average time it takes to do so. In this tutorial, Matt covers how to set up a conversion funnel analysis in Moesif using the User Funnels screen. Steps covered include: Navigating to the User Funnel screen Creating “steps” for each step in the funnel How to read and interpret the output

Building Smart O11y for Kuma With Elastic Observability

This blog was co-created by Ricardo Ferreira (Elastic) and Viktor Gamov (Kong). We love our microservices, but without a proper observability (O11y) strategy, they can quickly become cold, dark places cluttered with broken or unknown features. O11y is one of those technologies deemed created by causation: the only reason it exists is that other technologies pushed for it. There wouldn’t be need for O11y if, for example, our technologies haven’t gotten so complex across the years.

Using Elastic ML to Observe Your Kuma API Observability Metrics

Observability is catching on these days as the de-facto way to provide visibility into essential aspects of systems. It would be unwise for you not to leverage it with Kuma service mesh — the place that allows your services to communicate with the rest of the world. However, many observability solutions restrict themselves to the works: simple metric collection that provides them with dashboards. Expecting users to simply sit on their chairs and look at those metrics all day long is an invitation to failure, as we know that one can only do so much when they get tired and bored.