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Development

REST API Best Practices for Parameter and Query String Usage

Over the last ten years, APIs have grown in popularity and utilization. They've evolved into critical components of application infrastructure, and as businesses continue to use and build them, good API architecture will become increasingly important. A smart API design helps performance and the overall developer experience, whether they're public or internal. The most common APIs employ HTTP requests to access and use data and follow a RESTful architecture.

Audit Logging for Micro-Integrator

When you are running a micro-integrator on a microservices environment, administrators who have admin access to the micro-integrator are able to change its configurations via admin services API. When someone needs to debug the system and find out which person did what change, then the micro-integrator needs to keep a log of activities performed on the micro-integrator. Audit logs are simply a set of logs that let you find what are the changes performed on the micro-integrator instance. Audit logs feature support from the APIM 4.1.0 onward.

Performance optimization techniques used in Asgardeo - Part 01

This post explains the approaches we used to improve performance in our application. This knowledge will also assist you in applying these strategies to your projects as required. Please keep in mind that this post series focuses solely on the front end. According to the official website, Asgardeo is an IDaaS that allows developers to create seamless login experiences in minutes.

Per API Logging Support for WSO2 API Manager

APIM per API logging support lets you enable logging request details per API basis. This will significantly impact APIM performance when you need to collect logs that come in to and out of the APIM instance. Users are able to enable or disable logging for each API by using the APIM REST API. WSO2 APIM logging gives you multiple log levels that let you log information in different levels.

6 Reasons Why Python Is Best for Apps Using AI, ML and Data Analytics

There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. However, the ideal programming language for AI must be powerful, scalable and readable. All three conditions are met by the Python programming language. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies.

Bootstrapping with Ruby on Rails Generators and Templates

Rails' batteries-included approach is one of its greatest assets. No other framework makes it so effortless to get your application off the ground quickly, at least partially due to Rails' generators. If you've used Rails for any amount of time, you have come across generators. Need to create a new application? Run rails new. Need to scaffold a bunch of new models and views? Run rails generate scaffold. There are dozens more available to help you get started rapidly or streamline your workflow.