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The latest News and Information on API Development, Management, Monitoring, and related technologies.

Using authentication decorators in Flask

Has your team worked on an API and wanted (somehow) to implement more powerful security features? If you are dissatisfied with the level of security in an API, there are solutions for improving it! In this tutorial, I will lead you through the process of creating API endpoints that are secured with authentication tokens. Using these endpoints, we will be able to make requests to the Flask API only for authenticated users.

Getting Started with the InfluxDB API

This article was written by Nicolas Bohorquez. Scroll below for the author’s picture and bio. Time series databases, like InfluxDB, index data by time. They are very efficient at recording constant streams of data, like server metrics, application monitoring data, sensor reports, and any data containing a timestamp. Data in a time series database is always written with the most recent data values but with the previous values not updated.

AWS' Newest Official Partner: Speedscale

Speedscale is excited to join the AWS Partner Network (APN), the global community of partners who leverage Amazon Web Services (AWS) to build solutions and services for customers. AWS Partners are uniquely positioned to help businesses take full advantage of all that AWS has to offer and accelerate the journey to the cloud. As part of this achievement, Speedscale has completed the AWS Foundational Technical Review (FTR).

Scalability Testing Best Practices

Will your software perform well during peak hours? Can it handle the load during sales periods? Is your infrastructure valid if you double your sales by the end of the year? These are just some of the questions that scalability testing can help you answer. Scalability testing evaluates the activity level of your application by upscaling and downscaling the number of users.

Feature Spotlight: Centralized Log Collection

Speedscale is proud to announce its Centralized Log Collection capability. When diagnosing the source of problems in your API, more information is better. For most engineers, the diagnosis process usually starts with the application logs. Unfortunately, logs are usually either discarded or stored in Observability systems that engineers don’t have direct access to. Compounding this issue is that the log information is typically not correlated to what calls were made against the API.

A Developer's Guide to Continuous Performance Testing

One of the most important phrases of DevOps practices is “Test early, test often.” It’s crucial to perform functional testing early with unit tests and integration tests. But it’s equally important to perform non-functional testing. That means you should have performance tests. As markets become more saturated with each passing day, you no longer have the luxury to postpone performance testing until all features are developed.

API performance testing with k6

Performance testing measures how well systems perform when subjected to various workloads. The key qualities being tested are stability and responsiveness. Performance testing shows the robustness and reliability of systems in general, along with the specific potential breaking points. In this tutorial, you will use k6 to do load testing on a simple API hosted on the Heroku platform. Then you will learn how to interpret the results obtained from the tests.