Operations | Monitoring | ITSM | DevOps | Cloud

Performance testing measures how well systems perform when subjected to various workloads. The key qualities being tested are stability and responsiveness. Performance testing shows the robustness and reliability of systems in general, along with the specific potential breaking points. In this tutorial, you will use k6 to do load testing on a simple API hosted on the Heroku platform. Then you will learn how to interpret the results obtained from the tests.

Many development teams start their CI/CD journey with a local build box (or six) that run their tests. In several mobile teams I worked on, for example, we had a few Mac Mini boxes with physical devices plugged in that we used for running local UI and unit tests. Eventually we migrated to a cloud-based solution, which brought us much greater stability and many new features. But moving to the cloud also meant our local hardware was obsolete.

Using CircleCI’s orbs is a great way to share CI/CD configuration across projects. Public orbs work well for wide adoption, but private orbs have been helpful for organizations needing to share common internal configuration in a secure, non-public way. Private orbs work only within the organization that publishes them. We recently opened up private orbs access to all CircleCI customers, including those on the Free plan.

Nest.js is a scalable and efficient server-side Node.js framework built with TypeScript. Nest.js was created to provide a structural design pattern to the Node.js development world. It was inspired by Angular.js and uses Express.js under the hood. Nest.js is compatible with the majority of Express.js middleware. In this tutorial, I will lead you through building a RESTful API with Nest.js. The tutorial will familiarize you with the fundamental principles and building blocks of Nest.js.

Site Reliability Engineering (SRE) and Operations teams responsible for operating virtual machines (VMs) are always looking for ways to provide a more reliable, more scalable environment for their development partners. Part of providing that stable experience is having telemetry data (metrics, logs and traces) from systems and applications so you can monitor and troubleshoot effectively. Many Google Cloud services, including Google Compute Engine, provide basic system metrics out of the box.

Let’s face it: Creating the optimal CI/CD workflow is not always a simple task. In fact, writing effective and efficient configuration code is the biggest hurdle that many developers face in their DevOps journey. But you don’t need to be an expert to set up a fast, reliable testing and deployment infrastructure. With a few straightforward techniques, you can optimize your config.yml file and unleash the full potential of your CI/CD pipelines.