Systems | Development | Analytics | API | Testing

Accelerating API Performance Problem Resolution with API Monitoring

With a solid API Monitoring strategy and practice in place, it becomes easier to find and fix issues rapidly, as well as increasing the amount of feedback so your teams can continuously improve. In fact, our State of API Survey found that teams that prioritize API Monitoring as a strategy are able to resolve API issues in less than 24 hours.

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.