Not every module contributes to every runtime.

The core-runtime module defines each runtime:

- The target JVM for the runtime. Each runtime has its own JVM compatibility constraints.
- Some base services that are available to code hosted by the runtime. This varies by runtime.
- Additional constraints. For example, the CLI client runtimes limit the libraries that are available to the code in that runtime, for performance reasons. 

import gradlebuild.buildutils.runtimes.CheckTargetRuntimes
import gradlebuild.configureAsRuntimeJarClasspath

plugins {
    id("gradlebuild.repositories")
}

val runtimeAware: NamedDomainObjectProvider<DependencyScopeConfiguration> = configurations.dependencyScope("runtimeAware") {
    description = "All dependencies which should run in a Gradle context, and therefore must declare or inherit target runtime compatibility"
}

 * runtimes. All projects that these two projects depend on will inherit these runtimes
 * as part of their computed target runtimes.
 *
 * This task verifies that the computed target runtimes for each project properly reflect
 * the required target runtimes of all other projects. Optionally, it can write the correct
 * target runtimes back to the build files.
 *

        action(requiredRuntimes)
    }

    /**
     * The set of runtimes for this module, computed based on the required target
     * runtimes of this module and the required target runtimes of all modules
     * that depend on this module. This set contains a runtime if it is required
     * by this module or if another module that requires that runtime depends on this
     * module.
     */
    @get:Nested

When working on some source code it is important to be aware of the runtimes in which it will run, so that you don't break these constraints.
There is some assistance in the IDE for this plus a lot of validation that is applied at build time and on CI, but it is useful to keep these constraints in mind as well.

See [Gradle runtimes](runtimes.md) for a list of these runtimes and more details.

### Build execution model

This platform does not provide special support for a particular kind of automation. This is the responsibility of other platforms.

It is made up of 3 architecture modules:

- **core-runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.

This platform does not provide special support for a particular kind of automation. This is the responsibility of other platforms. 

It is made up of 3 architecture modules:

- **Runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.

K8s.io/api: REST API types no longer implement marker `ProtoMessage()` methods, identifying them as standard v1 proto messages. Protobuf serialization of Kubernetes API types should use [k8s.io/apimachinery/pkg/runtime/serializer/protobuf](https://pkg.go.dev/k8s.io/apimachinery/pkg/runtime/serializer/protobuf). See [KEP-5589](https://github.com/kubernetes/enhancements/tree/master/keps/sig-api-machinery/5589-gogo-dependency) for more details. ([#137084](https://github.com/kubernetes/kubernetes/pull/137084),...

- With the `KubeletCgroupDriverFromCRI` feature gate enabled and sufficiently new version of a container
  runtime, kubelet automatically detects the cgroup driver config from the container runtime, eliminating

- DRA: The scheduler plugin prevented abnormal filter runtimes by timing out after 10 seconds. This was configurable via the plugin configuration's `FilterTimeout`. Setting it to zero disabled the timeout and restored the behavior of Kubernetes <= 1.33. ([#132033](https://github.com/kubernetes/kubernetes/pull/132033),...