Overview of (GCP) Google Cloud Platform Services

Google Cloud Platform Services are a suite of cloud computing services provided by Google. GCP offers a range of services to help individuals and organizations to build and manage their applications and services in the cloud.

Here is a detailed overview of all the GCP cloud services:

Figure 1 – Content provided by Google https://cloud.google.com/icons/

Google Cloud’s Core Compute Services:

• Compute Engine: A virtual machine (VM) hosting service that allows users to run their applications on Google’s infrastructure.
• Kubernetes Engine: A managed service that provides a container orchestration system to run and manage containerized applications.
• App Engine: A platform-as-a-service (PaaS) that allows developers to build and run web and mobile applications without managing the infrastructure.
• Cloud Functions: A serverless compute service that lets users run code in response to events without managing any infrastructure.

Identity and Security

• Cloud IAM: A service that enables users to manage access to Google Cloud resources by creating and managing policies and roles.
• Cloud Identity: A service that provides a single sign-on (SSO) solution for cloud applications and services.
• Cloud Key Management Service: A service that allows users to create and manage cryptographic keys for their cloud resources.
• Cloud Security Command Center: A security management service that provides visibility into security and compliance across Google Cloud resources.
• Cloud Armor: A distributed denial-of-service (DDoS) protection service that provides defense against web and network attacks.

Networking

• Virtual Private Cloud (VPC): A network service that provides a private, isolated network environment in the cloud.
• Cloud Load Balancing: A service that distributes incoming traffic across multiple instances or backends to increase availability and performance.
• Cloud DNS: A scalable, reliable, and managed DNS service that enables users to publish their domain names and map them to IP addresses.
• Cloud CDN: A content delivery network service that accelerates the delivery of content to users across the world.
• Cloud Interconnect: A service that provides direct, dedicated, and low-latency connections between on-premises networks and Google Cloud.

For a full breakdown of GCP locations and networking, see Google Cloud website –

https://cloud.google.com/about/locations/

Big Data

• BigQuery: A fully-managed, petabyte-scale data warehouse service that allows users to analyze and query large datasets using SQL-like syntax.
• Cloud Dataflow: A fully managed, serverless data processing service that enables users to build data pipelines and ETL workflows.
• Cloud Dataproc: A fully managed service that provides a Hadoop and Spark cluster for big data processing.
• Cloud Pub/Sub: A scalable messaging service that enables users to send and receive messages between independent applications.
• Cloud AI Platform: A platform that provides tools and services for building, training, and deploying machine learning models at scale.
• Cloud AutoML: A suite of machine learning tools enabling users to build custom machine learning models without prior experience.

Storage and Database

• Cloud Storage: A scalable object storage service that allows users to store and retrieve data in the cloud.
• Cloud SQL: A managed service that provides a fully-managed relational database service for MySQL, PostgreSQL, and SQL Server.
• Cloud Spanner: A fully managed, relational database service that offers scalability, high availability, and global consistency.
• Cloud Bigtable: A NoSQL database service that provides high performance and scalability for large-scale workloads.
• Cloud Datastore: A NoSQL document database service that provides a fully managed, scalable, and flexible storage solution for web and mobile applications.
• Cloud Filestore: A managed file storage service for applications that require a file system interface.

Machine Learning

• AutoML: AutoML is a suite of tools that enables users to build custom ML models without requiring any prior experience in ML. AutoML provides various services, such as AutoML Vision, AutoML Natural Language, and AutoML Tables, that support specific use cases, such as image classification, text classification, and structured data analysis. Users can provide labelled data to AutoML, automatically training and optimising the ML model for the specific use case.
• Translation API: Translation API is a service that provides real-time translation between various languages. The service supports various use cases, such as website localization, customer support, and e-commerce. Users can integrate Translation API with their applications to enable real-time translation without requiring any language expertise.
• Natural Language: Natural Language is a set of pre-trained ML models that can be used for text analysis. The service supports various use cases, such as sentiment analysis, entity recognition, and content classification. Users can integrate Natural Language with their applications to enable text analysis without requiring any ML expertise.
• Speech-to-Text: Speech-to-Text is a service that provides a real-time transcription of spoken words into text. The service supports various use cases, such as voice commands, call centres, and dictation. Users can integrate Speech-to-Text with their applications to enable speech recognition without requiring any speech recognition expertise.
• Text-to-Speech: Text-to-Speech is a service that provides real-time conversion of text into spoken words. The service supports various use cases, such as customer support, voice assistants, and audiobooks. Users can integrate Text-to-Speech with their applications to enable speech synthesis without requiring any speech synthesis expertise.

AI

• Cloud AI Platform: Cloud AI Platform is a fully-managed service that provides a range of tools and services for building, training, and deploying ML models at scale. The service supports various ML frameworks such as TensorFlow, PyTorch, and sci-kit-learn and provides tools for data preprocessing, model training, and hyperparameter tuning. Cloud AI Platform also offers a range of deployment options, including online prediction, batch prediction, and custom prediction.
• Vision AI: Vision AI is a set of pre-trained ML models that can be used for image and video analysis. The service supports various use cases, such as object detection, face detection, and text recognition. Users can integrate Vision AI with their applications to enable image and video analysis without requiring any ML expertise.
• Video AI: Video AI is a set of pre-trained ML models that can be used for video analysis. The service supports various use cases like shot detection, object tracking, and content classification. Users can integrate Video AI with their applications to enable video analysis without requiring any ML expertise.

Management Tools

• Cloud Console: A web-based user interface that allows users to manage their GCP resources. The Cloud Console provides a central place for managing GCP resources and enables users to perform common tasks such as creating virtual machines, managing storage, and configuring network settings. The Console also provides access to various GCP services and features, such as billing and monitoring.
• Cloud Deployment Manager: A service that allows users to create and manage resources using templates and configuration files. With Deployment Manager, users can automate the creation and configuration of resources in GCP, such as virtual machines, storage buckets, and networking components. This enables users to create and manage resources consistently and reproducibly and also allows for version control and rollback of configurations.
• Cloud SDK: A command-line tool that allows users to interact with GCP resources and services from the command line. The Cloud SDK provides a set of tools and utilities for managing GCP resources and deploying applications, including the gcloud command-line tool for interacting with GCP services and the Cloud Shell environment for running commands in a browser-based shell.
• Cloud APIs: A set of RESTful APIs that allow users to access and manage GCP services and resources programmatically. The APIs enable users to automate tasks and integrate GCP services with other systems and applications. The APIs also provide programmatic access to monitoring and logging data for GCP resources.
• Cloud Identity and Access Management (IAM): A service that enables users to manage access to GCP resources by creating and managing policies and roles. With IAM, users can grant or revoke access to resources on a per-user or per-group basis and also create custom roles to grant specific levels of access to resources. IAM also provides audit logs to track changes to policies and roles..

Monitoring and Alerting

• Cloud Monitoring: A service that provides monitoring and alerting for GCP resources and services. With Cloud Monitoring, users can set up alerts based on metrics and logs and also view and analyze monitoring data using dashboards and charts. Cloud Monitoring also integrates with other GCP services, such as logging and error reporting.
• Cloud Logging: A centralised logging service for GCP resources and services. With Cloud Logging, users can collect, view, and analyze logs from various sources, including virtual machines, containers, and GCP services. Cloud Logging also integrates with other GCP services, such as monitoring and error reporting.
• Cloud Trace: A service that provides distributed tracing for GCP services. Cloud Trace lets users view and analyze trace data for requests and transactions across multiple services and components. Cloud Trace also integrates with other GCP services, such as monitoring and logging

Developer Tools

• Cloud SDK
• Deployment Manager
• Cloud Source Repo
• Could Tools for Android
• Cloud Tools for InteliJ
• Cloud Tools for PowerShell
• Cloud Tools for Visual Studio
• Google Plugin for Eclipse
• Cloud Test Lab

API & Ecosystem Management

• API Management
• API monetization
• API Analytics
• APIGEE Sense
• Cloud Endpoints

Data Transfer

• Cloud Transfer Appliance
• Cloud Storage Transfer Service
• Cloud BigQuery Data Transfer Service

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