Systems | Development | Analytics | API | Testing

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.

Implementing a Single Framework for API and UI Testing 1

Test automation for both the API and UI layers is a must-have skill in 2019. APIs are inescapable in today's software architecture - acting as the glue to link together disparate data to provide a wide variety of services for users on one digital platform. API testing is truly the sweet spot of testing modern software applications to exponentially increase their test coverage, testing thousands of scenarios in a matter of seconds.

Analyze this-expanding the power of your API data with new Apigee analytics features

APIs securely expose key enterprise data and services to internal stakeholders and external developers. They can also generate a goldmine of data. As you grow your API programs to reinvent operations, build modern applications, and create ecosystems, you can also use key API data to answer some important questions: Which customers are using my APIs? How do I categorize my customers? Should I monetize my APIs? How should I build my API revenue model and rate plan?

Merging Database API Calls with DreamFactory Data Mesh

Enterprises often manage data in multiple databases, often hailing from different vendors and even residing in different clouds. Thanks to DreamFactory's data mesh feature, it's possible to configure your REST API to merge data from disparate databases and present this data within a single response.

How The Telegraph is using APIs to personalize its news feeds

The news business has undergone a profound transformation since the advent of the internet. In just a few years, readers have gone from consuming news primarily in printed form to overwhelmingly favoring digital channels for real-time news delivery. To keep pace with reader demand, we need to continually innovate to ensure that The Telegraph provides the online and mobile news channels that keep our readers returning again and again.

Apigee Edge for Private Cloud 4.19.01 Is Here!

We’re excited to announce the general availability of Apigee Edge for Private Cloud 4.19.01. This release gives our customers even more flexibility to manage their APIs with features like Open API 3.0 support (OAS 3.0), self-healing with apigee-monit, TLS security, virtual host management improvements, and additional software support. Most notably, we are making the New Edge experience generally available to all customers.