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Compare REST and GraphQL Using k6 For Performance Testing

For many companies, performance is the main reason to go with GraphQL. But is that a valid argument? Often developers compare GraphQL to REST APIs and see the N+1 requests (or over-fetching) as an important reason to go for GraphQL. Let's put that to the test and explore if GraphQL APIs actually can outperform existing REST APIs. For this, we'll take a GraphQL-ized REST API (from JSONPlaceholder) and test the performance of GraphQL and compare it to the REST approach.


A quick guide to load testing Grafana Loki with Grafana k6

As a software engineer here at Grafana Labs, I’ve learned there are two questions that commonly come up when someone begins setting up a new Loki installation: “How many logs can I ingest into my cluster?” followed by, “How fast can I query these logs?” There are two ways to find out the answers.


Rendezvous with k6

Rendezvous is a French word commonly used in the load testing word. It sounds so fancy! I believe Mercury first coined and implemented it (I may be wrong) in LoadRunner. NeoLoad has it with the same name, and JMeter calls it Synchronizing timer. But what is it really, and how may we use it? Rendezvous is a function that stops the virtual users when they reach that instruction in the script. The function makes them wait until more virtual users get to that step or a timer runs out.


Deployment-time testing with Grafana k6 and Flagger

When it comes to building and deploying applications, one increasingly popular approach these days is to use microservices in Kubernetes. It provides an easy way to collaborate across organizational boundaries and is a great way to scale. However, it comes with many operational challenges. One big issue is that it’s difficult to test the microservices in real-life scenarios before letting production traffic reach them. But there are ways to get around it.


Private load zones for load testing on the cloud

Have you ever wanted to load test an application behind a corporate firewall? If so, you probably ran into a few issues. Load testing on the cloud can be the most cost-effective way to run a load test, but not if the application isn't publicly accessible. Recently, we released a new feature for k6 Cloud that allows you to run load tests on your own private load zones. But first, does it really matter where load is generated from?


There's more than Performance Testing - Chaos Engineering with k6 and Steadybit

Software development is entirely different today than it was a few years ago. Back then, we usually had a big monolith running on our own hardware. We mainly did performance tests to see if the hardware resources were sufficient to handle the load. Today, we develop software in a distributed environment with multiple services which may even run on different cloud platforms. With performance testing, we try to identify performance and resilience issues in these kinds of environments.