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?

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.

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.

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.

Without users, products mean nothing. So why is it that so many organizations analyze API and user behavior metrics as an afterthought? My theory would be that they just don’t have the right tools in place to actually collect, analyze, and use these usage metrics. With so many products aiming to improve their user experience and customer satisfaction, tools like Moesif are exactly what is needed.

When looking at API analytics and monitoring platforms, many seem to be so similar that it’s hard to figure out the differences between them. We often hear this confusion from users and prospects. In a world with so many tools available, how do we figure out which ones are necessary and which are redundant? One of the most common questions we are asked revolves around how Moesif compares to Datadog and how they could work together.

The Neosec platform integrates with Kong Gateway Enterprise to provide automated and continuous API discovery, API risk posture alerting and API protection through behavioral analytics and response automation. And it does all that while being out of band, using the logs shipped from Kong to Neosec.

Although the RESTful Application Programming Interface (API) was first established in the year 2000, there are currently no set guidelines or standards for API development. Developers have experimented with many methods to improve REST API solutions throughout the years. Some of them were successful, while others were unsuccessful. APIs that are poorly developed is difficult to maintain over time and are prone to failure.