Systems | Development | Analytics | API | Testing

Solve the Testing Challenges of Lazy Loading

A slow website is a major turn-off for potential customers. To address this, one technique is to load resources only once they are needed on a website, hence the term "lazy loading". Asynchronous, or lazy loading, is a technique where content below the viewport (like images, videos, text, and other objects) is either: This makes your website more efficient and increases your bandwidth, allowing you to deliver a faster and better user experience.

Debugging Production APIs with Postman and Moesif

Debugging APIs can be a challenge for any developer dealing with REST APIs. Trying to create an exact API request, especially for highly complex requests with large bodies and multiple headers, is essential but also tough to do. By using a tool like Postman to create a request for debugging and API testing purposes, you can easily replay an API request with the exact configuration of the original request.

Applying AI in Software Development: Best Practices and Examples

There’s no doubt that artificial intelligence has transformed the business world and that more changes are yet to come. In December 2022, the US government issued a report showing that nearly all industries have adopted AI in some fashion to improve their workflows.

SaaS Billing Best Practices: What You Need to Know

Having the right pricing model and billing software is extremely important for any SaaS company. Setting up a recurring billing solution for your SaaS product users may seem like a lofty goal, but can be easily tackled with the help of subscription billing software: One thing is certain: doing it manually or with software that is not geared for on-demand software is a waste of time and company resources.

Kong is a 2023 Customers' Choice in Gartner Peer Insights Voice of the Customer for Full Life Cycle API Management

Today we’re honored to announce Kong has been recognized as a 2023 Customers’ Choice in the Gartner® Peer Insights™ for Full Life Cycle API Management. We believe this endorsement highlights the trust and passion Kong’s customers have for Kong’s cloud native API platform to deliver speed and scalability, unleash developer productivity, and ensure security and governance But hey — don’t take our word for it.

A Day in the Life of an SDET: How to Use Automation to Improve Your Workflow

Software testers, or SDETs, have several responsibilities in today's QA-driven software industry. In addition to collaborating with developers to plan and execute tests, they are often responsible for setting up and maintaining continuous integration (CI) processes, analyzing test results, and generating reports for stakeholders. In this article, you'll learn about the evolution of the SDET role and how automation and artificial intelligence (AI) can help improve efficiency.

Best Practices for API Design Guidelines

Creating API design guidelines is a common practice for many enterprises. The goal? Ensuring that all teams involved in API development will adhere to them. However, this goal is often not achieved, as developers may not take the time to read, study, and apply these guidelines. To address this issue, API design guidelines should be seen as the foundation to create high-level tools and services that enable developers to focus more on business logic and less on API integration boilerplate.

Quick and easy CRUD APIs

CRUD (Create, Read, Update, and Delete) is a set of operations allowing users to interact with a database simply and consistently. Creating a CRUD API allows other systems and developers to interact easily with a data store or set. By providing a simple and consistent set of operations, CRUD APIs make it easy to build, scale, and secure applications. Some benefits of a CRUD API include When developing a CRUD API, there are many options to choose from.

Kong Konnect Analytics Custom Report Feature Gets a Major Upgrade

APIs have become the backbone of modern software development, by facilitating seamless communication between applications and systems. But building an effective API requires more than just good coding skills. It also requires careful monitoring and analysis to ensure optimal performance, security, and adoption. Additionally, creating accurate and in-depth reports can be time-consuming and complicated, especially when dealing with large data sets.