Systems | Development | Analytics | API | Testing

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New Kong Settings for Service Mesh

This post is the last in a three-part series about deploying Kong as a service mesh. The first post discussed how we define the term “service mesh” here at Kong, and the second post explained the architectural pattern used to deploy Kong as a mesh. In this post, we will talk about the new features and configuration options we added to give Kong its mesh capabilities.

Performance Testing on Every Commit

According to our latest State of API report, API performance is seen as a top-factor in the success of an API program. With teams shifting to CI/CD and DevOps delivery at a rapid pace, performance testing can still be a major bottleneck to most teams. Siloed performance engineering teams are unable to keep up with the rapid pace of modern software delivery - many organizations still run load tests outside of the pipeline and only when holiday season comes around.

How to Estimate a Software Project Timeline

One of the first steps in getting a new project underway is figuring out how much time and resources you'll need to allocate to getting the job done. But estimating these numbers can be challenging even for experienced teams. Here are some of the reasons that our engineering team think estimates are important, and the guidelines we use for making estimating project timelines a little less painful.

Introducing Katalon Store-An All-new Plugin Marketplace

Our team at Katalon is thrilled to introduce Katalon Store (beta)—a collaborative marketplace for the Katalon community to use and create add-on products that extend the testing capability of Katalon Studio. Katalon Store serves as a platform for testers and developers to install add-on products, also known as ‘plugins,’ to help our users add more features and optimize test automation strategies in Katalon Studio. Users can install, manage, rate and write reviews for plugins.

Delivering on Data Science with Talend: Getting Quality Data

Today, we are in the information age with a tremendous amount of data being created (as much as 90% of data being created in the last two years alone). This data comes from a wide range of sources and takes many different forms: human-generated documents and social media communications; transactional data that we use to run our businesses; and there is an ever-increasing proliferation of sensors producing streams of data.