We are about to install and manage Argo CD through a CD pipeline. “Why would we do that? We can just as well accomplish that through a command like kubectl apply or helm upgrade --install.” I’m glad you asked. The primary objective of Argo CD is to help us apply GitOps processes when deploying applications. It is directing us towards the world in which everything is defined as code, and all code is stored in Git.

There are many articles and videos about practicing Continuous Delivery (CD) with applications, but not nearly as many for infrastructure. The same can be said for GitOps applied to infrastructure. That is a bit strange given that applications and infrastructure are almost the same today. Both are defined as code, and everyone stores code in Git repositories. Hence, GitOps is just as good of a fit for infrastructure as for anything else.

The concept of Continuous Delivery (CD) has been around for over a decade. Early adopters of CD have reaped the benefits of reduced cycle times coupled with greater stability and reliability. Yet CD is far from a “solved problem” with many organizations struggling to implement CD at scale (or at all!) due to organizational, process and technology challenges.

In keeping with our vision of offering a universal feature set across all the package formats we support, we are delighted to announce that we are now offering configurable upstream proxying and caching support for RedHat packages. As we touched upon when announcing the same for Debian and Maven packages, there are a lot of reasons why this is a really good thing, so instead of going over those again, let’s jump straight into how you can set this up in you Cloudsmith repository.

In the previous article, we have created the Continuous Integration (CI) pipeline for a simple Java application. It is now time to start working on the Continuous Deployment (CD) pipeline that will take the Java application and deploy it to AWS. To build the CD pipeline, we will extend the existing AWS Jenkins pipeline. If you have missed the previous article on building a CI pipeline for a Java application using Jenkins, make sure you read that first before continuing.

There are many articles and videos about practicing Continuous Delivery (CD) with applications, but not nearly as many for infrastructure. The same can be said for GitOps applied to infrastructure. That is a bit strange given that applications and infrastructure are almost the same today. Both are defined as code, and everyone stores code in Git repositories. Hence, GitOps is just as good of a fit for infrastructure as for anything else.

The best way to stay out of danger is to keep far away from where danger lurks. But in the internet age, the global network means risk to your systems is from everywhere, at all times. With estimates that worldwide damage from cybercrime will exceed 6 trillion dollars by 2021, many companies choose, or are required by regulations to isolate their most sensitive systems to avoid any type of security breach.

Monitoring Jenkins is a serious challenge. Logging is often overlooked, but it provides a wealth of information about the health of your Jenkins instance. The following are some approaches to generating informative logging to these issues, that can help to monitor and provide suitable explanations of where the problems lie; even identifying what the possible solutions are.

Emojis are finally useful for more than sentiment or sass. Cloudsmith Engineering can now be raised in emergency situations via a single emoji - SOS. And it’s been used for the first, and so far only, time. At Cloudsmith, we pride ourselves on our reactive (and in many cases proactive) support. We architected and built the platform with monitoring in mind allowing us to provide transparency of internal operations to you and us.

There are many articles and videos about practicing Continuous Delivery (CD) with applications, but not nearly as many for infrastructure. The same can be said for GitOps applied to infrastructure. That is a bit strange given that applications and infrastructure are almost the same today. Both are defined as code, and everyone stores code in Git repositories. Hence, GitOps is just as good of a fit for infrastructure as for anything else.