Google Cloud DevOps refers to the application of DevOps practices and principles using Google Cloud Platform (GCP) services and tools. GCP provides a range of services that support various aspects of DevOps, including cloud computing, storage, database management, and machine learning. Here are some key elements and best practices for implementing DevOps in the Google Cloud environment:

1. Google Cloud Build: This service allows you to create fast, consistent, and reliable builds across all languages. It automates your build, test, and deployment tasks.

2. Containerization with Google Kubernetes Engine (GKE): GKE provides a managed environment for deploying, managing, and scaling your containerized applications using Google’s infrastructure. It’s particularly useful for microservices architecture.

3. Automated Testing and Deployment: Automate your testing and deployment processes using GCP’s tools. Continuous Integration and Continuous Deployment (CI/CD) can be implemented using Cloud Build and other GCP tools to automate the deployment of applications to various environments.

4. Infrastructure as Code (IaC) with Terraform or Google Cloud Deployment Manager: Use IaC for consistent and repeatable deployments. Terraform and Google Cloud Deployment Manager allow you to define your infrastructure using configuration files.

5. Monitoring and Logging with Google Operations (formerly Stackdriver): This tool provides powerful monitoring, logging, and diagnostics. It gathers metrics, logs, and events from infrastructure and applications, giving you visibility into the health and performance of your applications.

6. Scalability and Performance: Leverage the scalability of Google Cloud to handle varying loads. Use services like Google Cloud Load Balancing and Autoscaling to manage application performance.

7. Security and Compliance: Implement security best practices using Google Cloud’s security tools. Ensure data protection, manage access controls, and maintain compliance with industry standards and regulations.

8. Cost Management: Use Google Cloud’s cost management tools to track and control your cloud spend. It’s important to monitor and optimize resource usage to keep costs under control.

9. Collaboration and Productivity: Utilize GCP’s collaboration tools like Cloud Source Repositories and integrated IAM (Identity and Access Management) for effective team collaboration and resource access management.

10. Serverless Computing: Explore serverless computing options like Google Cloud Functions for running code without managing servers, which can simplify certain DevOps tasks.

DevOps in Google Cloud is about leveraging these tools and services to improve the agility, reliability, and efficiency of software development and deployment processes. It’s also about fostering a culture of continuous improvement, collaboration, and automation within your teams. Keeping up with the latest GCP offerings and integrating them into your DevOps practices can significantly benefit your development workflows.