Systems | Development | Analytics | API | Testing

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.

Anodot and Rivery Demo New Marketing Analytics Kit

Marketing teams routinely struggle with monitoring the performance and cost of their ad campaigns. Now, they have a solution that can be as easy as just a few clicks. We recently joined our partners at Rivery for a webinar demonstrating the new Anodot Markering Analytics Monitoring Kit. The kit allows users to track marketing campaigns in real-time and take the action needed to make the most of ad spend.

Webhooks vs API: Which is Better To Sync Data Between Apps

Webhooks vs API, oh well. When there is a talk about what method to use in order to seamlessly sync datasets between applications, platforms and databases (in other words, to perform application integration), APIs are often named as today’s best-practices method for handling this.