Defining multiple environments in Argo CD and promoting an application between them is one of most popular questions for companies that adopt GitOps for their applications. While we have offered several guidelines in the past for organizing your GitOps environments, today we are taking it further by announcing a complete product that helps you visualize the full lifecycle of an application as it moves through different stages. Meet the new Codefresh GitOps Environment Dashboard!

Last year we launched the Codefresh delivery platform powered by Argo. After the initial launch we started collecting feedback from all companies that tried it (as well as existing customers) and cataloged all feature requests and implementation ideas. The main goal is always to iterate quickly and address the most common issues in the most efficient way possible.

In the previous article of the series, we explained how to use Configmap generators in order to use Progressive Delivery for your configuration (and not just the container images). In this post, we will also cover another popular question: how to use Argo Rollouts with multiple services. Argo Rollouts is a Kubernetes controller that allows you to perform advanced deployment methods in a Kubernetes cluster. By default, it only supports a single service/application.

In our previous article about Database migrations we explained why you should treat your databases with the same respect as your application source code. Database migrations should be fully automated and handled in a similar manner to applications (including history, rollbacks, traceability etc).

Starting with Argo CD 2.4, creating config management plugins or CMPs via configmap has been deprecated, with support fully removed in Argo CD 2.8. While many folks have been using their own config management plugins to do things like `kustomize –enable-helm`, or specify specific version of Helm, etc – most of these seem to have not noticed the old way of doing things has been removed until just now!

Argo Rollouts is a Kubernetes controller that allows you to perform advanced deployment methods in a Kubernetes cluster. We have already covered several usage scenarios in the past, such as blue/green deployments and canaries. The Codefresh deployment platform also has native support for Argo Rollouts and even comes with UI support for them.

In our extensive guide of best ci/cd practices we included a dedicated section for database migrations and why they should be completely automated and given the same attention as application deployments. We explained the theory behind automatic database migrations, but never had the opportunity to talk about the actual tools and give some examples on how database migrations should be handled by a well disciplined software team.