Systems | Development | Analytics | API | Testing

%term

Kong Konnect: Get Started with Kong Gateway in 10 Minutes

In this Kong Konnect tutorial, you'll learn how to get started with Konnect and manage your API ecosystem from a single, easy-to-use interface. We'll cover how to use Konnect Runtime Manager to set up your own Kong Gateway instance in Docker (1:00). Then we'll walk through how you can expose, secure and manage your first service using the Konnect ServiceHub (2:22). Lastly, we'll publish that API to our developer portal and show how you can share that documentation with your users and developers all within Konnect (9:20).

Katalon recognized in the 2024 Gartner Market Guide for AI-Augmented Software Testing Tools

ATLANTA, April 2024 - Katalon is a leading provider of the most modern, comprehensive software quality management platform. The company announced that it was named as a Representative Vendor in the 2024 Gartner® Market Guide for AI-Augmented Software Testing Tools for the second year in a row.

Building reliable systems out of unreliable agents

If you’ve tried building real-world features with AI, chances are that you’ve experienced reliability issues. It’s common knowledge that AI makes for great demos, but… questionable products. After getting uncannily correct answers at first, you get burned on reliability with some wild output and decide you can’t make anything useful out of that. Well, I’m here to tell you that there’s hope.

Defend Your APIs: Secure by Design

The digital landscape has witnessed an explosion of APIs in recent years. These powerful tools act as the glue binding applications together, facilitating data exchange and powering our interconnected world. But with this rapid rise comes a growing concern: securing these APIs to safeguard sensitive information. In our recent webinar at SmartBear, "Defend Your APIs: Secure by Design," API experts Frank Kilcommins and Yousaf Nabi unpacked some critical strategies for keeping your APIs safe.

Data Quality Framework: What It Is and How to Implement It

A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. The goal is to ensure that organizational data meets specific standards, i.e., it is accurate, complete, consistent, relevant, and reliable at all times—from acquisition and storage to subsequent analysis and interpretation. eBook: A Guide to Data Quality Management Download eBook.

How to Implement Rate Limiting in Express for Node.js

Rate limiting is a fundamental mechanism for controlling the number of requests a client can make to a server in a given time frame. In a world where more than 30% of web traffic comes from malicious bots, that proactive strategy is critical to protect servers from abuse. In this tutorial, you'll delve into the concept of rate limiting and understand why you need it in your Node.js backend. Then, you'll learn how to implement it in Express to block or slow down incoming excess requests.

Snowpark Unleashed: Data Magic Within Snowflake

In the cloud data platform environment, Snowflake has carved out its place as a scalable, flexible, and efficient solution. At the heart of its offering is an ecosystem designed to meet the diverse needs of modern businesses. This includes everything ranging from data storage and analysis to complex data science projects. Snowflake simplifies these data operations and provides a robust foundation for innovation and growth.