The latest News and Information on Containers, Kubernetes, Docker and related technologies.
GitOps is one method used by teams to deploy microservices, but challenges usually arise when deploying applications across multiple clusters and environments. For your GitOps initiative to be successful, you should consider implementing an application operating model. In this second workshop we covered.
One of the foundations of GitOps is the usage of Git as the source of truth for the whole system. While most people are familiar with the practice of storing the application source code in version control, GitOps dictates that you should also store all the other parts of your application, such as configuration, kubernetes manifests, db scripts, cluster definitions, etc. But what about secrets? How can you use secrets with GitOps?
One of the reasons we define items as code is it allows for the programmatic creation of resources. This could be for infrastructure, for the packages on your machines, or even for your pipelines. Like many of our clients, at Codefresh we are seeing the benefits of an “everything as code” approach to automation. One of the great things about defining different layers in the stack as code is that these code definitions can start to build on each other.
Speedscale is seeking to cut time and errors out of the Kubernetes and container delivery pipeline with their ability to discover API connections, automatically generate tests and data, replay traffic, and spin up realistic lab environments and reports within the tight time windows of cloud-native development.
On August 4th 2021, Kubernetes (K8s) upstream announced the general availability of Kubernetes 1.22, the latest version of the most popular container orchestration platform. At Canonical, we actively track upstream releases to ensure our Kubernetes distributions align with the latest innovations that developers and businesses need for their cloud native use cases.
