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API

Using Moesif with Middy and Serverless for AWS Apps

See the GitHub repository for the source code of this article’s example project. Serverless is a popular framework to build serverless apps using AWS Lambda on the Node.js runtime. Serverless automatically orchestrates necessary resources on AWS and can scaffold a basic project for you that you can build up on. You can solely focus on your application’s core logic, development, and your Lambda functions.

Essential Free API Testing Tools Every Developer Should Know

API testing is an essential aspect of contemporary software development, ensuring that the interfaces between various components and systems function correctly. In this blog post, we will dive into some of the top free API testing tools that every developer should know about! From basic HTTP clients to comprehensive testing suites, these tools cover a wide range of needs and skill levels, helping developers create more robust and reliable applications. Get ready to supercharge your development process!

Streamlining APIOps: Automate API Management with Terraform

Discover how the new Terraform provider for Kong Konnect empowers platform teams to automate the deployment of a feature-rich API platform. In this webinar, we’ll walk through a real-world scenario, showing how a fictional organization sets up a federated API platform on Kong Konnect and automates its provisioning process using Terraform. Join us to learn best practices and unleash the full potential of APIOps automation with Kong Konnect and Terraform.

Find the Best Metered Billing Software for Your Business

Did you know that 72% of SaaS companies plan to adopt usage-based pricing in the near future? It shows a growing demand for flexible, consumption-based billing models. If you want your business to stay ahead of the curve, you need the right tools to capitalize on this trend. Metered billing aligns revenue with customer consumption. It offers numerous benefits like improved customer satisfaction, increased trust, and reduced churn.

Throughput in Performance testing: A Comprehensive Guide

Measuring throughput and latency is a critical step in load testing software to ensure application performance and stability. In this article, we’ll discuss essential considerations before beginning performance testing and provide a detailed, step-by-step guide on leveraging production traffic replication in Kubernetes. This approach helps you accurately determine your software’s maximum throughput during performance testing.

APIs and Finance: How Banks Use APIs

Application programming interfaces (APIs) do a lot of behind-the-scenes work that you might never notice. When you look at the weather forecast on your smartphone, you get updated info because of an API. You rely on APIs when you sign into your email account, get driving directions, and book airplane tickets.

Replay Production Traffic to Mock local development environments

Building and debugging Kubernetes microservices can be tough, especially when you don't have realistic data or environments. See how Speedscale can quickly mock DBs and APIs based on observed production behavior, so you can debug and develop features quickly. People familiar with GoReplay will notice a more modern and automated approach to turning user behavior into reproducible developer environments.

How to Load and Performance Test Kubernetes, what is Kubernetes and nuances of the platform

Check out Matt LeRay's talk on How to Test in Kubernetes at Star WEST 2024. Distributed architectures like Kubernetes present unique performance challenges. Autoscaling, Load Balancing and other mechanisms help with resiliency but can also serve to cover up fundamental problems. In this video, learn best practices and high level concepts around Kubernetes and achieving high throughput.

How to get started with a local kubernetes development environment

Mocks can be useful, but hard to build. You can use them as backends for development, or even tests (like load and performance testing). Speedscale takes the legwork out of building mocks, by modeling them after real observed traffic. This video covers a real-world example of how to use mocks to backend a JMeter load test.