Google Cloud Services and Products [Updated List 2025]

Google Cloud Platform (GCP) is a comprehensive suite of cloud computing services that enables businesses to build, deploy, and scale applications in a secure, scalable environment. From data storage to machine learning, GCP offers a variety of tools and services that cater to diverse business needs.

In this article, we’ll explore the Google Cloud services list, discuss how Google Cloud charges for these services, and examine the Google Cloud products available by region. 

Further enrolling in Google Cloud Platform courses can help you learn about these features in detail and start your career in cloud computing as a cloud engineer.

Google Cloud Services List 

Let's take a closer look at Google services. Below we have provided descriptions of the most commonly used Google Cloud services and products

1. Compute Services 

Google Cloud offers several options for running and managing applications in the cloud, allowing businesses to scale and customize their computing needs: 

● Google Compute Engine: A highly customizable Infrastructure-as-a-Service (IaaS) that allows you to run virtual machines on Google’s infrastructure. 

● Google App Engine: A Platform-as-a-Service (PaaS) for building and hosting applications on Google's infrastructure. It automatically handles scaling and management. 

● Google Kubernetes Engine (GKE): A managed service for deploying, managing, and scaling containerized applications using Kubernetes. 

● Google Cloud Functions: A serverless compute service that allows you to run event-driven functions without managing infrastructure. 

● Google Cloud Run: A fully managed compute platform that allows you to deploy and manage containerized applications. 

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2. Networking Services

Google Cloud provides various tools to manage and optimize the networking needs of businesses: 

● Google Virtual Private Cloud (VPC): Provides a private network to host virtual machines and other resources, allowing flexible connectivity within Google Cloud. 

● Google Cloud Load Balancing: A fully managed, scalable load-balancing solution for distributing traffic across your applications and services. 

● Cloud CDN: A content delivery network that caches content close to users using Google’s globally distributed edge locations. 

● Cloud DNS: A scalable, high-performance DNS service to manage domain name resolution for your applications. 

● Google Cloud Interconnect: Enables private, high-performance connections between your on-premises infrastructure and Google Cloud. 

3. Storage & Databases 

Google Cloud provides several services for storing data efficiently and securely: 

● Google Cloud Storage: A highly durable and scalable object storage service for storing and accessing any amount of data. 

● Cloud SQL: A fully managed relational database service for MySQL, PostgreSQL, and SQL Server. 

● Cloud Bigtable: A NoSQL wide-column database service ideal for real-time analytics and large-scale applications. 

● Google Cloud Spanner: A horizontally scalable, strongly consistent relational database service suitable for mission-critical applications. 

● Cloud Datastore: A fully managed NoSQL database for application data that requires scalable and high-performance storage. 

● Persistent Disk: Durable, high-performance block storage for virtual machines in Google Cloud. 

4. Big Data Services 

Google Cloud is well-known for its capabilities in managing and analyzing large data sets: 

● BigQuery: A fully managed, serverless data warehouse that enables fast SQL queries using massive datasets. 

● Google Cloud Dataproc: A fully managed cloud service for running Apache Hadoop and Apache Spark clusters, designed for big data processing. 

● Google Cloud Dataflow: A fully managed service for processing streaming and batch data with Apache Beam. 

● Cloud Dataprep: A service for preparing data for analysis, allowing you to clean and transform data easily. 

● Google Cloud Pub/Sub: A messaging service for building event-driven architectures and real-time analytics pipelines. 

5. Machine Learning & AI Services 

Google Cloud offers a suite of machine learning (ML) and artificial intelligence (AI) tools for developers and data scientists: 

● Google AI Platform: A comprehensive suite for building, training, and deploying machine learning models. 

● AutoML: A suite of machine learning products that allows users to train custom models for specific tasks, like image recognition or language processing, without requiring extensive ML knowledge. 

● TensorFlow on Google Cloud: A managed service to run TensorFlow models at scale. 

● Cloud Vision API: Allows you to analyze images for content, including labels, text, and object recognition. 

● Cloud Speech-to-Text: A service that transcribes spoken language into text. 

● Dialogflow: A platform for building conversational interfaces, such as chatbots or virtual assistants. 

6. Identity & Security Services 

Google Cloud ensures the security and identity management of applications and data with various services: 

● Cloud Identity & Access Management (IAM): Allows you to control who has access to your cloud resources and manage permissions. 

● Cloud Security Command Center: A tool for managing and improving your Google Cloud security posture. 

● Cloud Key Management: A fully managed service for creating and managing encryption keys for your cloud resources. 

● Google Cloud Identity: A comprehensive identity platform for managing users, devices, and access to cloud apps. 

● Cloud Security Scanner: A service that scans your applications for common security vulnerabilities in Google Cloud-hosted applications. 

7. Developer & Management Tools 

To help developers and organizations manage their infrastructure and code, Google Cloud provides: 

● Google Cloud Console: The web-based interface for managing your Google Cloud resources and projects. 

● Stackdriver: A monitoring and logging service that provides insights into the health and performance of applications running on Google Cloud. 

● Cloud Source Repositories: A private Git repository for version control of your application code. 

● Cloud Deployment Manager: A service for automating the deployment of resources in Google Cloud using configuration files. 

● Cloud Shell: An in-browser shell that gives you command-line access to Google Cloud resources. 

● Cloud Monitoring: A service for monitoring the performance and health of your applications and infrastructure in real-time. 

8. Collaboration & Productivity Services 

Google Cloud also integrates with various Google services, enabling collaboration and productivity tools for teams: 

● Google Workspace (formerly G Suite): A suite of productivity and collaboration tools, including Gmail, Google Docs, Google Sheets, Google Meet, and more. 

● Google Cloud Search: An enterprise search tool powered by Google's search capabilities to find content across your Google Workspace and Google Cloud resources. 

9. Cloud Marketplace 

Google Cloud Marketplace: An online store where users can discover, purchase, and deploy software solutions, ranging from developer tools to business applications, that are optimized for Google Cloud. 

Google Cloud provides a set of management tools to help monitor and optimize resources: 

● Google Cloud Console: A web interface for managing resources and monitoring performance. 

● Cloud Monitoring and Logging: Tools to track and troubleshoot the health and performance of applications. 

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Google Cloud Services and Pricing 

When using Google Cloud Platform (GCP), understanding the pricing structure is essential for effectively managing your cloud resources and optimizing costs. Google Cloud offers a wide range of services, each with its pricing model depending on factors such as usage, location, and the type of service utilized.

Common Google Cloud Pricing Models 

● Pay-As-You-Go: Google Cloud follows a pay-as-you-go model for most services, where you pay only for what you use. For example, you are charged for the time your virtual machines (VMs) are running or the storage your data occupies. This model is flexible and allows businesses to scale their usage based on demand, optimizing costs. 

● Sustained Usage Discounts: Google Cloud offers sustained usage discounts for services like Compute Engine. If you use specific services for extended periods (such as VM instances running for more than 25% of the month), you can automatically receive discounts, which help lower costs for long-term users. 

● Committed Use Contracts: For predictable workloads, you can enter into committed use contracts to save on long-term costs. By committing to use specific Google Cloud products (e.g., Compute Engine) for one or three years, you can receive significant discounts. 

● Preemptible Virtual Machines: Google offers preemptible VMs, which are low-cost virtual machines that are shut down after 24 hours or if Google needs the resources for other tasks. These are ideal for short-term, fault-tolerant workloads and can help reduce costs significantly. 

● Pricing for Machine Learning and Big Data: 

✓ BigQuery: Pricing for BigQuery is based on the amount of data processed by your queries. You are billed for the amount of data that is read during query execution, with pricing structured per terabyte of data processed. 

✓ Cloud ML: For machine learning services, costs can be determined by the number of training hours or the volume of data processed during training. Google's AI Platform services provide detailed usage charges based on the model's complexity and resource usage. 

● Free Tier: Google Cloud offers a free tier for certain products, allowing you to experiment with GCP without incurring charges. For example: 

✓ Google Cloud Storage: The free tier includes 5 GB of standard storage per month. 

✓ BigQuery: Up to 1 TB of data processed per month is free. 

✓ Google Compute Engine: The free tier includes one f1-micro instance per month in select regions. 

How to Manage Google Cloud Pricing 

● Google Cloud Pricing Calculator: Google provides a pricing calculator that allows you to estimate the cost of using different Google Cloud services based on your expected usage. This tool can help you plan your budget and anticipate how much your services will cost before deploying them. 

● Billing Alerts: Set up billing alerts within Google Cloud Console to monitor your usage and costs in real-time. Google Cloud allows you to create custom budgets and notifications when your spending exceeds predefined thresholds. 

● Billing Accounts: Google Cloud enables users to set up billing accounts to manage their costs across multiple projects. You can assign different billing accounts to different projects, which is especially useful for organizations that have multiple departments or clients. 

● Cost Optimization Tools: Google provides various cost optimization tools like Google Cloud Cost Management and Recommender to help you identify unused or underutilized resources, optimize configurations, and reduce unnecessary costs. For instance, the Recommender offers suggestions for right-sizing VMs, optimizing storage, and more. 

Google Cloud Products by Region 

Google Cloud operates globally, and its Google Cloud products by region vary to meet the needs of businesses in different geographic locations. Some services, like Google Cloud Storage, are available worldwide, while others might be region-specific.

Businesses can choose the region that best fits their needs in terms of performance, compliance, and data sovereignty. Regions include North America, Europe, Asia-Pacific, and others, with multiple zones in each region to ensure high availability and redundancy. 

Regions and Zones in Google Cloud 

Google Cloud divides the world into regions and zones: 

● Regions: A region is a specific geographical location where Google Cloud resources are hosted. Each region consists of multiple zones. 

● Zones: A zone is a deployment area within a region. Each region typically has 3 or more zones to ensure high availability and fault tolerance. 

Why Region Selection Matters 

When setting up cloud resources, the region you choose will influence the performance, availability, and cost of the services. Some key factors to consider when selecting a region for your Google Cloud products include: 

● Latency: Choose a region closer to your customers or users for faster response times. 

● Compliance and Data Residency: Some countries or industries require data to be stored in specific geographic locations. Google Cloud helps meet these requirements with its global regions. 

● Cost Efficiency: Pricing for Google Cloud services can vary between regions, so choosing the right region could impact overall costs. 

● Service Availability: Not all Google Cloud services are available in every region. For instance, certain advanced AI tools or storage options might be limited to specific regions. 

How to Choose the Right Google Cloud Region 

When selecting a region for your Google Cloud products, here are some steps you can take: 

● Check Regional Availability: Confirm that the required services are available in your desired region. 

● Consider Latency: Select a region closest to your target audience to minimize latency and improve performance. 

● Evaluate Compliance Requirements: Ensure that the region aligns with your data residency and regulatory needs. 

● Cost Optimization: Compare pricing across different regions to find the most cost-effective option. 

● Redundancy and Failover: Consider choosing regions with multiple zones to ensure high availability and redundancy. 

Conclusion 

Google Cloud Platform provides a diverse range of services to cater to the varied needs of businesses, from scalable compute and storage options to advanced machine learning and data analytics tools.

The Google Cloud services list offers flexibility and choice for businesses looking to leverage cloud technology to enhance their operations. With transparent Google Cloud services charge models and the ability to select Google Cloud products by region, GCP is an excellent choice for companies aiming to scale and innovate.

Whether you need to manage infrastructure, process big data, or integrate machine learning, Google Cloud has a solution tailored to your needs.