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Codefresh

Generate Code Coverage Reports using Coveralls and Codefresh

Coveralls is a web service that allows users to track the code coverage of their application over time in order to optimize the effectiveness of their unit tests. Once you are managing your application and associated resources within a CI/CD platform like Codefresh, you want to receive insights on the test coverage automatically with every pipeline build. This post provides an overview of how this can be achieved with Coveralls and Codefresh.

GitOps 2.0 hands-on workshop: Setting up your repositories with ArgoCD and Codefresh

Follow along with Anais as she takes you from setting-up an active ArgoCD installation in your cluster to connecting it with the GitOps Dashboard in Codefresh. We will: By the end of the session, you will have a Codefresh pipeline that will use a standard Git trigger to monitor the GitOps repository for updates using the Codefresh ArgoCD step. Throughout the workshop, we will also highlight GitOps best practices and how you can make the most out of the ArgoCD Codefresh integration.

Code Coverage Analysis Using Codecov and Codefresh

Codecov is a code analysis tool with which users can group, merge, archive, and compare coverage reports. Code coverage describes which lines of code were executed by the test suite and which ones were not. However, this is not to be confused with a testing tool. Codecov does not run your tests, that is the job of your testing tools. The analysis that Codecov provides will classify code in either of the following states: Additionally, In this tutorial, we will.

All That Developers Need Is a Browser (or How to Be More Productive by Having Less)

What would you say if I would tell you that you can be as productive with the cheapest laptop as with the one you already have? Would you believe me if I would say that there is no need for you to install an IDE, compilers, CLIs, Docker, and whatever else you might have on your laptop? How about having a full development environment created whenever you need it instead of dealing with virtual machines and whatever else might be fulfilling your development needs?

Coveralls Code Coverage -- Codefresh Quick Bites

This is the third part of our new series -- Codefresh Quick Bites -- Integrate Coveralls into your Codefresh pipeline to receive coverage reports with every build.

Using the DigitalOcean Container Registry with Codefresh

DigitalOcean has just announced the DigitalOcean Container Registry, which is directly integrated into the DigitalOcean Dashboard. While you can use any Container Registry in your DigitalOcean resources, the goal of the Container Registry is to provide for easy connection between the Container Registry and DigitalOcean Kubernetes resources.

Combining Progressive Delivery With GitOps and Continuous Delivery Through Argo CD, Argo Rollouts, and Codefresh

Progressive delivery is arguably the most reliable and advanced set of deployment practices based on a simple idea. Instead of shutting down the old release and deploying a new one in its place, progressive delivery takes an iterative approach. It gradually increases the reach of a new release. That gives us quite a few benefits like zero-downtime deployments, reduced blast radius, increased security, and so on and so forth. I will not go into depth about what progressive delivery is.

Designing Complex Components in Figma: Our Build Record

Figma is a web-based graphic editor and prototyping tool that is commonly used for UI design. Independent of the size of your organization, it is considered good practice to use design components. This post provides a case study on how we utilize Figma components to manage different states in the Codefresh UI. Note that this blog post was written before the release of variants and the new auto-layout features. We will update the blog after we update our style guide with these new amazing features.

Docker Images Without Docker - A Practical Guide

The most well-known security flaw in Docker is that it requires root access to build your Docker images with the Docker daemon. We have all read at least once that you should be careful using root access. This tutorial will take a look at the downsides of using Docker and Docker alternatives to combat those.