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A Guide to Kubernetes Performance Testing: Top 5 Tools & Methodologies for Load Testing

Kubernetes has become the dominant orchestration platform for cloud-native apps– and for good reason. It can be a powerful tool in your software development lifecycle. But how do you know if your Kubernetes-based app can handle the demands of production traffic? Kubernetes alone isn’t always enough to ensure your app’s performance under load. In many cases, it is, but it’s always wise to know your application’s limits.

Kubernetes Load Testing: How JMeter and Speedscale Compare

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

Ways to Use Mock Services in Software Development

Mocking APIs is a popular practice in software development. An increasing number of developers are reaping the benefits and no longer using their valuable time to spin up duplicate resources. Many mock services do not require account creation, making them easy to use and privacy-friendly. In the rest of this article, we explain what mock APIs are, when you should think about using them, and what solutions are available within the open-source and proprietary markets.

Postman Load Test Tutorial

Postman is highly popular in the testing tools space for verifying API requests. While its use for general API testing is widely adopted, conducting load testing with Postman is not as straightforward. In this post, we assume that you have some experience working with Postman and are familiar with the fundamentals of creating and sending requests. If you’re new to Postman, there are numerous resources available in the Postman Learning Center.
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Top 7 Kubernetes Chaos Engineering Tools

Developing highly resilient Kubernetes deployments is crucial for ensuring that your hosted applications in Kubernetes can effectively manage and recover from disruptions. This capability is vital in order to maintain continuous availability for your customers. The importance of resilience in your distributed system also escalates depending on your customer base and the critical nature of your application. Even brief periods of downtime can have a significant negative impact on your business.

Kubernetes Load Testing: How JMeter and Speedscale Compare

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

Stop Using TCP Health Checks for Kubernetes Applications

As developers, one of the most important things we can consider when designing and building applications is the ability to know if our application is running in an ideal operating condition, or said another way: the ability to know whether or not your application is healthy. This is particularly important when deploying your application to Kubernetes. Kubernetes has the concept of container probes that, when used, can help ensure the health and availability of your application.

How to Calculate TPS in Performance Testing: A Kubernetes Guide

Transactions-per-Second (TPS) is a valuable metric for evaluating system performance and is particularly relevant for engineers overseeing Kubernetes environments.TPS, alongside average response time, provides critical insights into system performance during load testing. This post covers two approaches to calculating TPS; a manual approach applicable in all environments, and an automatic Kubernetes-specific solution using production traffic replication.

How to Mock HTTP APIs With MockServer| Speedscale

As the name suggests, MockServer is a powerful tool that allows developers to mock HTTP APIs, making it much easier and more efficient to run an integration test in initial development phases. It aims to solve the problem of testing APIs that are still in development or not yet available, allowing developers to make http calls on an http client without a real server.