Читать книгу Google Cloud Certified Professional Cloud Architect Study Guide - Dan Sullivan - Страница 59

Managed services are Google Cloud Platform services that do not require users to perform common configuration and maintenance operations. For example, Cloud SQL is a managed relational database service providing MySQL, SQL Server, and PostgreSQL databases. Database administration tasks, such as backing up data and patching operating systems, are performed by Google and not by customers using the service. Managed services are good options in the following cases:

 Users do not need low-level control over the resources providing the service, such as choosing the operating system to run in a VM.

 Managed services provide a functionality that would be difficult or expensive to implement, such as developing a machine vision application.

 There is little competitive advantage to performing resource management tasks. For example, the competitive advantage that may come from using Apache Spark for analytics stems from the algorithms and analysis methodologies, not from the administration of the Spark cluster.

Architects do not necessarily need to know the details of how managed services work. This is one of their advantages. Architects do not need to develop an expertise in natural language processing to use the Natural Language AI, but they do need to understand what kinds of functions managed services provide. See Table 2.1 for brief descriptions of some of the Google Cloud Platform managed services.

TABLE 2.1 Examples of Google Cloud Platform managed services

Service Name	Service Type	Description
AutoML Tables	AI and machine learning	Machine learning models for structured data
Recommendations AI	AI and machine learning	Personalized recommendations
Natural Language AI	AI and machine learning	Entity recognition, sentiment analysis, and language identification
Cloud Translation	AI and machine learning	Translate between languages
Cloud Vision	AI and machine learning	Understand contents of images
Dialogflow Essentials	AI and machine learning	Development suite for voice and text conversational apps
BigQuery	Analytics	Data warehousing and analytics
Cloud Datalab	Analytics	Interactive data analysis tool based on Jupyter Notebooks
Dataproc	Analytics	Managed Hadoop and Spark service
Cloud Data Fusion	Data management	Data integration and ETL tool
Data Catalog	Data management	Metadata management service
Dataflow	Data management	Stream and batch processing
Cloud Spanner	Database	Global relational database
Cloud SQL	Database	Regional relational database
Cloud Deployment Manager	Development	Infrastructure-as-code service
Cloud Pub/Sub	Messaging	Messaging service
Cloud Composer	Orchestration	Data workflow orchestration service
Bigtable	Storage	Wide column, NoSQL database
Cloud Data Transfer	Storage	Bulk data transfer service
Cloud Memorystore	Storage	Managed cache service using Redis or memcached
Cloud Storage	Storage	Managed object storage service

This table is provided to show the breadth of Google Cloud Platform managed services. The services offered change over time. Managed services may be generally available, or they can be in beta. For a list of current services, see the Google Platform Services Summary at cloud.google.com/terms/services.