The issue of memory bloat in Ruby applications is a topic of frequent discussion. In this post, we will look at how Ruby memory management can go wrong, and what you can do to prevent your Ruby application from blowing up. First, we need to understand what bloat means in the context of an application’s memory. Let’s dive in!
We have already wrote previously about how you can automate your testing routines without using the graphical interface but by using Loadero API instead. In this blog post we will show how you can integrate performance and load tests into your CI/CD workflows with the help of Github Actions. Github Actions allow you to automate and execute your development workflows directly from your repository which makes the integration very simple.
It can be a real headache to test contact forms or other outgoing emails from your website or application locally. To permit mail, you ought to configure your nearby web server and waste plenty of time expecting the mail to reach for your inbox, if it does at all. Furthermore, if you test with your personal email account as the sender, you risk damaging your email address. So, what should you do? You can use tools like MailHog and others, which are great for sending transactional emails.
While monitoring is an important part of any robust application deployment, it can also seem overwhelming to get a full application performance monitoring (APM) stack deployed. In this post, we’ll see how operating a Kubernetes environment using the open-source Kong Ingress Controller can simplify this seemingly daunting task! You’ll learn how to use Prometheus and Grafana on Kubernetes Ingress to simplify APM setup.
Recently, k6 started supporting k6 extensions to extend k6 capabilities for other cases required by the community. The community has already built plenty of extensions. k6 extensions are written in Go, and many of them are reusing existing Go libraries. This makes k6 to be a versatile tool to test different protocols and adapt to multiple cases. This post is the third part of my series of articles testing various systems using k6: Let's look in this post how we test the popular Kafka project.
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Load testing isn’t an engineer’s favorite task. Every setup choice made during performance testing will yield varying results. The chosen load test protocol is the difference between an application that performs well under most circumstances and one that buckles at hidden stress points. Yet failing to run adequate tests isn’t an option when dealing with a complex API architecture. Needless to say, all your load testing options must be carefully evaluated.
