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از ساعت 7 صبح تا 10 شب
ویرایش: [1 ed.]
نویسندگان: Priyanka Vergadia
سری:
ISBN (شابک) : 1119816327, 9781119816324
ناشر: Wiley
سال نشر: 2022
تعداد صفحات: 256
[258]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 48 Mb
در صورت تبدیل فایل کتاب Visualizing Google Cloud: 101 Illustrated References for Cloud Engineers and Architects به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب تجسم Google Cloud: 101 مرجع مصور برای مهندسان و معماران ابر نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
دستورالعمل بصری آسان برای همه بخشهای مهم Google Cloud Platform
Google Cloud Platform دهها سرویس تخصصی را در خود جای داده است که سازمانها را قادر میسازد تا بارگذاری کنند. نیازهای تکنولوژیکی روی ابر از عملیات معمول فناوری اطلاعات مانند ذخیرهسازی گرفته تا قابلیتهای پیچیده جدید از جمله هوش مصنوعی و یادگیری ماشینی، Google Cloud Platform این فرصت را به شرکتها ارائه میدهد که بهطور کارآمد مقیاس و رشد کنند.
در تجسم Google Cloud: مراجع مصور برای مهندسان ابر
Easy-to-follow visual walkthrough of every important part of the Google Cloud Platform
The Google Cloud Platform incorporates dozens of specialized services that enable organizations to offload technological needs onto the cloud. From routine IT operations like storage to sophisticated new capabilities including artificial intelligence and machine learning, the Google Cloud Platform offers enterprises the opportunity to scale and grow efficiently.
In Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects, Google Cloud expert Priyanka Vergadia delivers a fully illustrated, visual guide to matching the best Google Cloud Platform services to your own unique use cases. After a brief introduction to the major categories of cloud services offered by Google, the author offers approximately 100 solutions divided into eight categories of services included in Google Cloud Platform:
You’ll find richly illustrated flowcharts and decision diagrams with straightforward explanations in each category, making it easy to adopt and adapt Google’s cloud services to your use cases. With coverage of the major categories of cloud models—including infrastructure-, containers-, platforms-, functions-, and serverless—and discussions of storage types, databases and Machine Learning choices, Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects is perfect for every Google Cloud enthusiast, of course. It is for anyone who is planning a cloud migration or new cloud deployment. It is for anyone preparing for cloud certification, and for anyone looking to make the most of Google Cloud. It is for cloud solutions architects, IT decision-makers, and cloud data and ML engineers. In short, this book is for YOU.
Cover Title Page Copyright Page Acknowledgments About The Author Contents Introduction Reader Support for This Book How to Contact the Publisher Chapter 1 Infrastructure Introduction What Is Compute Engine? Machine Types How Does It Work? Availability Pricing Security Use Cases Why Containers? Why Kubernetes? What Is So Cool about Kubernetes? Kubernetes the Hard Way What Is GKE? Why GKE? How Does GKE Work? How Does GKE Make Scaling Easy? What Is Cloud Run? How to Use Cloud Run How Does Cloud Run Work? How Is Cloud Run Different from Cloud Functions? What Is App Engine? Environments How Does It Work? Notable Features What Is Cloud Functions? How to Use Cloud Functions Pricing and Security Some Cloud Functions Use Cases What Is Google Cloud VMware Engine? Benefits of Google Cloud VMware Engine How Does Google Cloud VMware Engine Work? Google Cloud VMware Engine Use Cases What Is Bare Metal Solution? Features How Does It Work? What Does the Bare Metal Solution Environment Include? What Is the Level of AbstractionY ou Need? What Is Your Use Case? Need Portability with Open Source? What Are Your Team Dynamics Like? What Type of Billing Model Do You Prefer? Chapter 2 Storage What Are the Different Storage Types? Object Storage Block Storage File Storage Storage Classes Choosing a Location for Your Use Case How to Use Cloud Storage Security Data Transfer Reasons and Requirements Google Cloud Data Transfer Options Benefits of Filestore Filestore Use Cases Filestore Performance Tiers Where Do Virtual Machines Store Data So They Can Access It When They Restart? Types of Block Storage How to Pick Block Storage Based on Availability Needs Where Should Your Application Store Data? Object Storage —CloudStorage Block Storage —Persistent Diskand Local SSD File Storage -Filestore Chapter 3 Databases Relational Databases Nonrelational databases Which One Is Best? How to Set Up Cloud SQL Reliability and Availability Migrating an Existing MySQL Database to Cloud SQL Security and Compliance Cloud SQL in Action How Does Spanner Work? How Does Spanner Provide High Availability and Scalability? How Do Reads and Writes Work? How Does Spanner Provide Global Consistency? What Is Firestore? Document-Model Database How Do You Use Firestore? Some Cloud Bigtable Features Scale and High Availability (HA) How Does It Optimize Throughput? What are Your Application’s Availability Needs? Features and Capabilities Use Cases Chapter 4 Data Analytics 5 Steps to Create a Data Analytics Pipeline Extract, Transform, and Load (ETL) How Does Pub/Sub Work? Pub/Sub Features Pub/Sub Use Cases Main Components How Does Cloud IoT Core Work? Design Principles of Cloud IoT Core Use Cases How Does Data Processing Work? How to Use Dataflow Dataflow Governance How Does Dataproc Work? Migrating HDFS Data from On-Premises to Google Cloud What Is Data Preparation? Discover Structure Clean Enrich Validate How Does Dataprep Work? BigQuery Unique Features How Does It Work? BigQuery Storage Internals Dremel: BigQuery’s query engine Security Cost Data Integration Capabilities Data Integration Unified Wrangling and Pipeline Metadata and Modeling Open, Hybrid, and Multicloud Data Protection How Does Data Catalog Work? Data Catalog Architecture Data Governance How Does Cloud Composer Work? How to Run Workflows in Cloud Composer Cloud Composer Security Features How Does It Work? Connectivity Options Datastream Use Cases Looker’s Platform In-Database Architecture Semantic Modeling Layer Cloud Native Capture Process Store Analyze Use Services Spanning the Pipeline Chapter 5 Application Development and Modernization Opening Building and Modernizing Cloud Applications Microservices or Monolith? What Do Most Microservices Need? Where to Begin? Should You Migrate to Google Cloud? Which Migration Path Is Right for You? Common Cloud Migration Use Cases Use Case 1: Hybrid Cloud Burst Use Case 2: Modernize with Anthos Use Case 3: Land, Expand, Retire Use Case 4: DR Site Promotion Why Is Traditional Hybrid and Multicloud Difficult? How Does Anthos Make Hybrid and Multicloud Easy? Digging Deeper into Anthos Deployment Option 1: Google Cloud Deployment Option 2: VMware vSphere Deployment Option 3: Bare-Metal Servers Deployment Option 4: Anthos Attached Clusters Deployment Option 5: AWS Deployment Option 6: Microsoft Azure How Has the Application Development Landscape Changed? Cloud Build Cloud Code Cloud Deploy What Is Microservices Architecture? How Are Monolithic and Microservices Architectures Different? Microservices Use Cases Service Choreography and Service Orchestration Google Cloud Support for Service Orchestration Workflows Google Cloud Support for Service Choreography Pub/Sub Eventarc Additional Services That Help with Both Choreography and Orchestration Cloud Tasks Cloud Scheduler What Is API Management? What Is Apigee? What is API Gateway? API Gateway Architecture What’s the Difference Between API Gateway and Apigee API Management Platform? What Is the Operations Suite? What Does Cloud Operations Include? How Does Cloud Operations Work? Sample Application Architecture Domain Name System (DNS) Web and Application Servers Database Load Balancing and Scale Content Delivery Network (CDN) Object Store Serverless Functions Events Data Analytics Machine Learning Operations DevOps Security Chapter 6 Networking How Is the Google Cloud Physical Network Organized? Google Network Infrastructure Cloud Networking Services Premium Tier Standard Tier Choosing a Tier Cloud Interconnect and Cloud VPN Cloud Interconnect Cloud VPN Network Connectivity Center Peering CDN Interconnect Features of VPC Networks Shared VPC VPC Network Peering VPC Packet Mirroring How Does DNS Work? What Does Cloud DNS Offer? Hybrid Deployments: DNS Forwarding Inbound Outbound Hybrid Deployments: Hub and Spoke What Is Cloud Load Balancing? How Does Cloud Load Balancing Work? External Load Balancing Internal Load Balancing How to Use Global HTTP(S) Load Balancing How to Secure Your Application with Cloud Load Balancing How to Choose the Right Load-Balancing Option What Is Cloud CDN? How Does Cloud CDN Work? How to Use Cloud CDN Security How Is Cloud NAT Different from Typical NAT Proxies? Benefits of Using Cloud NAT NAT Rules Basic Cloud NAT Configuration Examples Network Topology Connectivity Tests Performance Dashboard Firewall Insights How Does a Typical Service Mesh Work in Kubernetes? How Is Traffic Director Different? How Does Traffic Director Support Proxy-less gRPC and VMs? How Does Traffic Director Work Across Hybrid and Multicloud Environments? Ingress and gateways Why Service Directory? How Service Directory Works with Load Balancer Using Cloud DNS with Service Directory Connect Scale Secure Optimize Modernize Chapter 7 Data Science, Machine Learning, and Artificial Intelligence Data Engineering Data Analysis Model Development ML Engineering Insights Activation Orchestration Prepackaged AI Solutions Pretrained APIs BigQuery ML Vertex AI End-to-End Model Creation in Vertex AI What Does Vertex AI Include? AutoML Behind the Scenes How Do I Work with AutoML in Vertex AI? What Is MLOps? Vertex AI Pipelines Vertex AI Pipelines Under the Hood Vertex AI Pipelines Open Source Support Benefits of BigQuery ML Additional Notable Features of BigQuery ML Supported Models in BigQuery ML How to Use Vision AI What Can I Do with Vision API? How to Use Video AI What Can I Do with the Video Intelligence API? Use Case Scenarios What Is Translation AI? What If Your Business Has Specific Terms? AutoML Translation What Is the Media Translation API? How to Use Natural Language AI What Can I Do with the Natural Language API? What Can I Do with the Speech-to-Text API? How to Use the Speech-to-Text API What Is Contact Center AI? How Does Contact Center AI Work? What Is Document AI? How to Use Document AI Sample Document AI Architecture Vertical Solutions What Is Recommendations AI? Sample Customer Journey with Recommendations AI How Does Recommendations AI Work? Data Engineering Data Analysis Model Development ML Engineering Insights Activation Orchestration Chapter 8 Security Cloud Security Is Shared Fate Infrastructure Security Network Security Application Security Secure Software Supply Chain Security Data Security Identity and Access Management Endpoint Security Security Monitoring and Operations Governance, Risk, and Compliance Defense in Depth at Scale End-to-End Provenance and Attestation Application Security Cloud Load Balancing DDoS Protection and Web Application Firewall: Cloud Armor Bot and Fraud Protection with reCAPTCHA Enterprise API Security with Apigee Sample Web Application and API Security Architecture Risk Points for a Software Supply Chain How Does Google Secure the Software Supply Chain Internally? What is SLSA? How Does Google Cloud Help You Secure Your Software Supply Chain? Binary Authorization Code Build Test and Scan Deploy and Run Encryption Encryption at Rest by Default Encryption in Transit by Default Encryption in Use: Confidential Computing At-Rest Encryption Options Customer-Supplied Encryption Keys (CSEKs) Key Management Service (Cloud KMS) Hardware Security Modules (HSMs) Cloud External Key Manager (Cloud EKM) Other Data Security Services What Is DLP? How Does It Work? A Variety of Deidentification Techniques What Is Cloud Identity? How Cloud Identity Connects with Google Cloud Authentication Options 2-Step Verification (2SV) with Google Authentication SSO Authentication with a Third-Party Identity Provider User experience Advantages What Is Cloud IAM? Cloud IAM best practices What Are Service Accounts? Service Account Types Service Account Credentials Service Account Best Practices What Is BeyondCorp? What Is BeyondCorp Enterprise? How Does BeyondCorp Enterprise Work? Gathering Device Information Limiting Access Securing Resources with IAP Applying IAM Conditions What Is Security Command Center? How Does Security Command Center work? Infrastructure Security Network Security Application Security Software Supply Chain Security Data Security Identity and Access Management (IAM) Endpoint Security Security Monitoring and Operations Governance, Risk, and Compliance EULA