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Showing content from https://cloud.google.com/java/docs/reference/google-cloud-compute/latest/overview below:

Java client library | Google Cloud

google-cloud-compute overview (1.80.0) Key Reference Links

Compute Engine Description: Delivers virtual machines running in Google's innovative data centers and worldwide fiber network. Compute Engine's tooling and workflow support enable scaling from single instances to global, load-balanced cloud computing. Compute Engine's VMs boot quickly, come with persistent disk storage, deliver consistent performance and are available in many configurations.

Getting Started

In order to use this library, you first need to go through the following steps:

Use the Compute Engine for Java

To ensure that your project uses compatible versions of the libraries and their component artifacts, import com.google.cloud:libraries-bom and use the BOM to specify dependency versions. Be sure to remove any versions that you set previously. For more information about BOMs, see Google Cloud Platform Libraries BOM.

Maven

Import the BOM in the dependencyManagement section of your pom.xml file. Include specific artifacts you depend on in the dependencies section, but don't specify the artifacts' versions in the dependencies section.

The example below demonstrates how you would import the BOM and include the google-cloud-compute artifact.

<dependencyManagement>
 <dependencies>
   <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.65.0</version>
      <type>pom</type>
      <scope>import</scope>
   </dependency>
 </dependencies>
</dependencyManagement>

<dependencies>
 <dependency>
   <groupId>com.google.cloud</groupId>
   <artifactId>google-cloud-compute</artifactId>
 </dependency>
</dependencies>
Gradle

BOMs are supported by default in Gradle 5.x or later. Add a platform dependency on com.google.cloud:libraries-bom and remove the version from the dependency declarations in the artifact's build.gradle file.

The example below demonstrates how you would import the BOM and include the google-cloud-compute artifact.

implementation(platform("com.google.cloud:libraries-bom:26.65.0"))
implementation("com.google.cloud:google-cloud-compute")

The platform and enforcedPlatform keywords supply dependency versions declared in a BOM. The enforcedPlatform keyword enforces the dependency versions declared in the BOM and thus overrides what you specified.

For more details of the platform and enforcedPlatform keywords Gradle 5.x or higher, see Gradle: Importing Maven BOMs.

If you're using Gradle 4.6 or later, add enableFeaturePreview('IMPROVED_POM_SUPPORT') to your settings.gradle file. For details, see Gradle 4.6 Release Notes: BOM import. Versions of Gradle earlier than 4.6 don't support BOMs.

SBT

SBT doesn't support BOMs. You can find recommended versions of libraries from a particular BOM version on the dashboard and set the versions manually. To use the latest version of this library, add this to your dependencies:

libraryDependencies += "com.google.cloud" % "google-cloud-compute" % "1.80.0"
Which version ID should I get started with?

For this library, we recommend using com.google.cloud.compute.v1 for new applications.

Understanding Version ID and Library Versions

When using a Cloud client library, it's important to distinguish between two types of versions:

Managing Library Versions

We recommend using the com.google.cloud:libraries-bom installation method detailed above to streamline dependency management across multiple Cloud Java client libraries. This ensures compatibility and simplifies updates.

Choosing the Right Version ID

Each Cloud Java client library may contain packages tied to specific Version IDs (e.g., v1, v2alpha). For new production applications, use the latest stable Version ID. This is identified by the highest version number without a suffix (like "alpha" or "beta"). You can read more about Cloud API versioning strategy here.

Important: Unstable Version ID releases (those with suffixes) are subject to breaking changes when upgrading. Use them only for testing or if you specifically need their experimental features.


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