Systems | Development | Analytics | API | Testing

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.

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.

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 With Insomnia as a REST API Client

As more companies invest in a cloud native infrastructure, they’re choosing to prioritize their applications as microservices—architecting them into distinct servers. Each component is responsible for one (and only one) feature. For example, you might have Server A responsible for handling billing logic, Server B for handling user interaction and Server C for handling third-party user interactions.

The Developer Playground now supports REST API

One of the best features in ThoughtSpot Everywhere is the Developer Playground. The Playground lets frontend Developers visually configure elements and generate JavaScript code to add into your web app. It is an amazing tool for testing and iterating configuration options before adding final elements such as Search, Liveboards, and visualizations into your web app. But what about a backend Developer who might be building solutions that utilize the Platform’s APIs?

How We Got a 12% Increase in RPS and a 37% Drop in Latency

At Kong, we run performance testing in CI in every commit or pull request that has a potential performance impact, as well as on each release. Thanks to the performance testing framework and its integration with Github Actions, we can easily get basic metrics like RPS and latency. Also, flame graphs to pinpoint the significant part that draws down performance. With that workflow in place, we figured one of the most significant parts of Kong’s hotpath is Nginx variable accesses.

4 Ways to Leverage Kong's jq Plugin

As part of the Kong Gateway 2.6 release, we shipped a brand new jq plugin for anyone with an enterprise license to use. It’s like we combined the request and response transformer plugins to form a single, more powerful plugin—supercharging the way we work with request and response bodies. If you’re not familiar with jq, it’s a JSON processing language that allows you to manipulate any JSON document and transform it however you need.

Simplifying Use of External APIs with Request/Response Translators

Snowpark has generated significant excitement and interest since it was announced. Snowpark is a developer framework that enables data engineers, data scientists, and data developers to code in their language of choice, and execute pipelines, machine learning (ML) workflows, and data applications faster and more securely. While many parts of Snowpark are in preview stages, External Functions entered General Availability earlier this year.