Postman Best Practices: How Raygun’s Engineering Team Uses Postman to Improve Our Workflow
ICYMI: When developing the software intelligence platform Raygun, I often need to send data to the Raygun ingestion API running in the local environment. To help keep my API management at it’s most efficient, I (along with quite a lot of our engineering team) use a tool called Postman, which is specifically designed to share, test and monitor APIs. Since Postman is an essential part of my workflow, I’d like to share these Postman best practices.
Why Postman?
Sending data to the API quickly and efficiently helps when I’m working on features and bug fixes in almost any part of Raygun. Whether I’m working on the API and ingestion pipeline or the way the Raygun app displays data, Postman is an essential part of the process. https://goo.gl/GZZW58 #DataIntegration #ML
Create a Scalable REST API With Falcon and RHSCL
APIs are critical to automation, integration, and developing cloud-native applications, and it’s vital they can be scaled to meet the demands of your user-base. In this article, we’ll create a database-backed REST API based on the Python Falcon framework using Red Hat Software Collections (RHSCL), test how it performs, and scale-out in response to a growing user-base.
We’re going to use the following components to build and test our API: https://goo.gl/ET854D #DataIntegration #ML
