cloud native java cat source code example

But making sure that the image is well-formed, optimized, secure, and compliant with your organizational standards can, however, be challenging. Developers are now being tasked with learning about OS-level scanning tools, maintaining image labeling standards, learning the latest Dockerfile best practices, and whatever else they’re being asked to own. There are linting and scanning tools such as Hadolint, Dockle, and our own Snyk Container offering which can aid you in these tasks. Getting your application packaged into an image and running in a container is not usually a very difficult task. With the adoption of container runtimes and the orchestration systems that sit on top of them, much of these lower-level concerns are shifting squarely into the scope of developer teams in the form of infrastructure as code (IaC) configuration files that are part of the application/service code repositories. These files take various forms such as Kubernetes YAML, Terraform HCL, CloudFormation JSON, and, of course, Dockerfiles which define the structure of the container image where your application will run. What you very well may not have had to deal with are operating system level concerns such as package installation, filesystem permissions, what UID/GID gets used at runtime, and other such configuration details that historically have been handled by the operations and security teams who provide platforms to you. This can include the web app-server version you are building on top of and maybe some of the runtime configurations like garbage collector tuning and database connections.

The problemĪs a Java developer, in addition to your application code base and library dependencies, you are probably also used to keeping track of what JDK and JVM you are targeting.

I’m going to assume you already understand image construction and have at least a basic understanding of Dockerfiles, but if you are new to them you might want to check out my post on developer-driven workflows where I go into the details of container image building.

In that case, you’re probably familiar with those ubiquitous documents that describe, layer-by-layer, the steps needed to construct an image: Dockerfiles. Did you know that there is a growing set of tools for building OCI compliant images without Dockerfiles? In this article, we will look at Jib, a 100% Java-based tool that can build highly optimized images without having to worry about correctly forming up a Dockerfile. Suppose you’ve been working with container images for more than a minute.

Cloud native java cat source code example