Source code for Google Cloud Marketplace Click to Deploy solutions, enabling one-click deployment of popular applications.
Click to Deploy is the source repository for the one-click deployment solutions available on Google Cloud Marketplace. It contains the configuration files and scripts that enable users to deploy popular open-source applications like Elasticsearch, Kafka, and Magento with a single click on Google Cloud Platform. The project automates the provisioning and configuration of these applications as either Virtual Machines or Kubernetes applications.
Google Cloud Platform users who want to quickly deploy pre-configured open-source applications, and developers who need to understand or contribute to the deployment automation code for these solutions.
It provides officially maintained deployment configurations that are optimized for Google Cloud, reducing the time and expertise required to set up complex software stacks. The project is actively updated for security vulnerabilities and uses Google's native CI/CD tools for reliability.
Source for Google Click to Deploy solutions listed on Google Cloud Marketplace.
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Supports both Virtual Machine images and Kubernetes applications, allowing users to choose deployment models based on their infrastructure needs, as highlighted in the README.
The project is constantly updated to address vulnerabilities like log4j CVEs, with the README detailing ongoing efforts to patch affected solutions such as Elasticsearch and Kafka.
Follows IaC principles to provide automated, repeatable deployments of complex software stacks on GCP, ensuring consistency and reducing manual setup errors.
Uses Google Cloud Build for continuous integration, automating testing and deployment processes with custom worker pools, as described in the README's Cloud Build section.
The disclaimer states it's not an officially supported Google product, which means users cannot rely on guaranteed SLAs or direct support from Google for issues.
Many solutions, including Elasticsearch and Magento, are listed as vulnerable to log4j CVEs in the README, indicating potential security risks that may not be immediately patched.
Deployment configurations are optimized exclusively for Google Cloud, making it unsuitable for multi-cloud or on-premises environments without significant modification.