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The latest News and Information on Software Testing and related technologies.

Load Testing vs. Performance Testing vs. Stress Testing

Just conducting one type of testing is generally not enough. For example, let’s say you decide to perform unit testing only. However, unit tests only verify business logic. Many other types of tests exist to verify the integration between components, such as integration tests. But what if you want to measure the maximum performance of your application? Or what if you want to know how the application behaves under extreme stress?

Easily test and monitor your mobile applications with Datadog Mobile Application Testing

Effective mobile application testing that meets all the requirements of modern quality assurance can be challenging. Not only do teams need to create tests that cover a range of different device types, operating system versions, and user interactions—including swipes, gestures, touches, and more—they also have to maintain the infrastructure and device fleets necessary to run these tests.

Deploy Testing Environments with Production-Like Data using Bunnyshell and Neon Serverless Postgres

In this webinar we explored the power of Bunnyshell and Neon in deploying production-like testing environments. Bunnyshell, an Environment as a Service platform, enables developers to instantly spin up ephemeral environments on Kubernetes. Neon provides a fully managed multi-cloud Postgres with a generous free tier, making it easy to launch serverless Postgres with a single command.

The Smart and Efficient Way to Test Serverless Architectures

Serverless architectures allow developers to focus on their code, and not worry about infrastructure. But just because it’s “serverless” doesn’t mean it doesn’t need testing, or that testing needs to be hard. Whether you’re working with API Gateway, AppSync, Step Functions or Event-Driven Architectures, Yan Cui will show you how to test it.

How We Ate Our Own Dog Food To Level-Up Internal Testing with Redgate Clone

Most applications have large and complex databases at the back end, making it hard for developers to adequately test their work before it goes out. Having a fast, repeatable process to deliver data on demand is an essential part of an effective software development lifecycle, ultimately leading to improved customer satisfaction.

Distributed tracing for testing with Grafana Tempo and Tracetest (Grafana Office Hours #05)

Did you know you can use distributed tracing for testing with Grafana Tempo and Tracetest? Distributed tracing can really help you drill down from metrics to root causes, but how can you automate it? Adnan Rahić, Senior Developer Advocate at Tracetest.io, shares how you can do just that, using Grafana + Grafana Tempo + Tracetest.

How to fix performance issues using k6 and the Grafana LGTM Stack

The Grafana Labs ecosystem is built on a range of different projects that incorporate logs, metrics, traces across load testing, and Kubernetes monitoring. I’ll assume you know all of that data (and more!) can be visualized in Grafana. What made my observability dream become reality, though, is how these systems can work together to help you effectively debug performance issues and operate your system with more confidence.