Security testing tools help us to monitor our cloud-native resources for potential vulnerabilities throughout our development lifecycle. By flagging security vulnerabilities early, our teams can react on time to reduce potential damage to our end-users and our business. This post will compare three different Security scanning tools that focus on cloud-native infrastructure and application security, namely.
Codefresh is an awesome platform for doing GitOps deployments to Kubernetes. Starting last year, the Codefresh team has been adding rich integrations with Argo CD and Argo Rollouts, GitOps observability dashboards, and more. Codefresh pipelines, in particular, have played an integral role in our customers’ progressive delivery workflows by allowing them to orchestrate all of the testing, analysis, and rollback activities that work in conjunction with Argo CD synchronization.
Codefresh is a DevOps automation platform with Kubernetes and Docker native tools and features. You can create powerful pipelines and utilize the provided dashboards by connecting different Kubernetes clusters and registries to receive further insights into your deployments. Additionally, by enabling GitOps for your repositories you can reach the highest level of confidence in your Kubernetes deployments.
Telepresence 2 was recently released and (like Telepresence 1) it is a worthy addition to your Kubernetes tool chest. Telepresence is one of those tools you cannot live without after discovering how your daily workflow is improved. So what is Telepresence? It is too hard to describe all the functionalities of the tool in a single sentence, but for now I would describe it as the “Kubernetes swiss army networking tool”.
Argo Rollouts is a progressive delivery controller created for Kubernetes. It allows you to deploy your application with minimal/zero downtime by adopting a gradual way of deploying instead of taking an “all at once” approach. Argo Rollouts supercharges your Kubernetes cluster and in addition to the rolling updates you can now do In the previous article, we have seen blue/green deployments.
Argo Rollouts is a progressive delivery controller created for Kubernetes. It allows you to deploy your application with minimal/zero downtime by adopting a gradual way of deploying instead of taking an “all at once” approach.
Wouldn’t it be handy to quickly spin up a Kubernetes cluster for CI testing, on-demand? Interested? If so, read on! Here at Codefresh, many of our customers develop Kubernetes-native applications. A common CI task is to create a Kubernetes cluster to test out deployment processes and integrations. Often, such tests can be greatly simplified if this cluster is ephemeral – that is, it is created on-demand for each build of a test pipeline.
This blog will take you on a step-by-step journey to show you how you can leverage your Kubernetes cluster resources to run your CI/CD workflows using the Codefresh hybrid solution. What Is the Codefresh Hybrid Solution and How Does It Work? The Codefresh hybrid solution provides you with a way of running the platform’s workflows on your Kubernetes resources, keeping your private resources safe while enjoying the benefits of a SaaS solution.
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. It is great if you want to create a cost-effective, on-demand service. You can use it as part of a bigger project where you have multiple services or as a standalone service to do a certain task like controlling Alexa Skill.
Are you a designer within a software company? How do you manage your tasks and collaborate on those with your team? At Codefresh we use Jira for managing all our R&D and design tasks. This post provides an overview on how we manage design related tasks in Figma and ensure the issues are visible within Figma through the use of components. If you are new to components, have a look at our previous blog post on how we use components in our Design System.
