The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Over the past few months, we published a number of articles showing how to snap desktop applications written in different languages – Rust, Java, C/C++, and others. In each one of these zero-to-hero guides, we went through a representative snapcraft.yaml file and highlighted the specific bits and pieces developers need to successfully build a snap. Today, we want to diverge from this journey and focus on the server side of things.
Apache Flink is an open source framework, written in Java and Scala, for stateful processing of real-time and batch data streams. Flink offers robust libraries and layered APIs for building scalable, event-driven applications for data analytics, data processing, and more. You can run Flink as a standalone cluster or use infrastructure management technologies such as Mesos and Kubernetes.
In our previous announcement for the removal of the Codefresh Docker registry, we presented a timeline of the migration phases along with the actions expected from our customers. One of the milestones in the migration process is the introduction of our new Image API along with several enhancements on the pipeline build step. We believe that these features deserve a dedicated explanation of why they are useful on their own (regardless of the registry removal).
