The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP [Team-IRA] [True PDF]

Cover
Title Page
Copyright
Dedication
Foreword
Contributors
Table of Contents
Preface
Part 1: Learning about the Amazon Cloud
Chapter 1: Amazon EC2 and Compute Services
	The history of computing
		The computer
		The data center
		The virtual machine
		The idea of cloud computing
		The computer evolution path
	Amazon Global Cloud infrastructure
	Building our first EC2 instances in the Amazon cloud
		Launching EC2 instances in the AWS cloud console
		Launching EC2 instances using CloudShell
		Logging in to the EC2 instances
	ELB and ASG
	AWS compute – from EC2 to containers to serverless
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 2: Amazon Cloud Storage Services
	Understanding EBS
	Understanding EFS
	Understanding S3
	Understanding Snowball and Snowmobile
	Accessing S3 from EC2 instances
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 3: Amazon Networking Services
	Reviewing computer network basics
		IP address
		CIDR
		The internet
	Understanding Amazon Virtual Private Cloud
		Part one – creating a VPC with subnets
		Part two – Provisioning more cloud resources and connecting them together
		Part three – hardening AWS network security
		VPC firewalls
		VPC endpoints
	Understanding Amazon Direct Connect
	Understanding Amazon DNS – Route 53
	Understanding the Amazon CDN
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 4: Amazon Database Services
	Database basics
		Relational databases
		NoSQL databases
		In-memory cache databases
		Data warehouses
	Amazon RDS
	Amazon cloud NoSQL databases
	Amazon ElastiCache
	Amazon cloud data warehouse service
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 5: Amazon Data Analytics Services
	Understanding the AWS big data pipeline
	AWS Glue
	Amazon Athena
	The Amazon Kinesis family
	Amazon QuickSight
	Amazon EMR
		MapReduce and Hadoop
		AWS EMR
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 6: Amazon Machine Learning Services
	ML basics and ML pipelines
		ML problem framing
		Data collection and preparation
		Feature engineering
		ML model development
		ML model deployment, testing, and monitoring
	Amazon SageMaker
	DL basics
	Amazon computer vision solutions
	Amazon’s NLP solutions
		Amazon Comprehend
		Amazon Transcribe
		Amazon Polly
		Amazon Translate
		Amazon Lex
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 7: Amazon Cloud Security Services
	Amazon cloud security model
	Amazon IAM
		IAM policies
	AWS infrastructure security
		AWS Organizations
		AWS resource security
	Amazon data encryption
	AWS logging, monitoring, and incident handling
	Case study – an AWS threat detection and incident handling ecosystem
		Automatic threat detection
		Automatic notification
		Automatic remediation
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Part 2:Comprehending GCP Cloud Services
Chapter 8: Google Cloud Foundation Services
	Google Cloud resource hierarchy
	Google Cloud compute
		Google Compute Engine
		Google Kubernetes Engine
		Google Cloud Storage
		Google Cloud networking
	Summary
	Practice questions
	Further reading
Chapter 9: Google Cloud’s Database and Big Data Services
	Google Cloud database services
		Google Cloud SQL
		Google Cloud Spanner
		Google Cloud Firestore
		Google Cloud Bigtable
		Google Cloud Memorystore
	Google Cloud’s big data services
		Google Cloud Pub/Sub
		Google Cloud BigQuery
		Google Cloud Dataflow
		Google Cloud Dataproc
		Google Cloud Looker
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 10: Google Cloud AI Services
	Google Cloud Vertex AI
		Vertex AI datasets
		Dataset labeling
		Vertex AI Feature Store
		Workbench and notebooks
		Vertex AI custom models
		Vertex Explainable AI
		Vertex AI prediction
		Vertex AI Model Monitoring
		Vertex AI Pipelines
		Vertex AI TensorBoard and Metadata
		Vertex AI AutoML
	Google Cloud ML APIs
		Sight API
		Conversational API
	Google Cloud generative AI services
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 11: Google Cloud Security Services
	Google Cloud IAM
		Google Cloud users and groups
		Google Cloud service accounts
		Google Cloud IAM roles
	Google Cloud endpoint security
		GCE VM security
		GCS security
		Google Cloud network security
	Google Cloud data security
		Data classification and data lineage
		Data encryption
		GCP DLP
	Google Cloud Monitoring and Logging
	Google Cloud Security Command Center (SCC)
		SCC asset discovery
		SCC scan findings
		SCC integration with Cloud DLP
		SHA
		The latest SCC features
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Part 3:Mastering Azure Cloud Services
Chapter 12: Microsoft Azure Cloud Foundation Services
	Azure cloud resource hierarchy
	Azure cloud compute
		Azure cloud VMs
		Azure cloud container services
		Azure serverless computing
	Azure cloud storage
		Object storage
		File storage
		Block storage
		Archive storage
	Azure cloud networking
	Azure Cloud Foundation service implementation
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 13: Azure Cloud Database and Big Data Services
	Azure cloud data storage
	Azure cloud databases
		Azure cloud relational databases
		Azure cloud NoSQL databases
		Azure’s cloud data warehouse
	Azure cloud big data services
		Azure ADF
		Azure HDInsight
		Azure Databricks
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 14: Azure Cloud AI Services
	Azure ML workspaces
	Azure Cognitive Services
	Azure OpenAI Service
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Chapter 15: Azure Cloud Security Services
	Azure cloud security best practices
		Azure Security Center
		Azure IAM
		Azure cloud VM protection
		Azure cloud network protection
		Azure data protection
	Azure cloud security reference architectures
		Azure hybrid cloud infrastructure
		Azure SIEM and SOAR
	An Azure cloud security case study
		Organizational infrastructure security
		Networking infrastructure security
		Palo Alto networks
	Summary
	Practice questions
	Answers to the practice questions
	Further reading
Part 4:Developing a Successful Cloud Career
Chapter 16: Achieving Cloud Certifications
	Reviewing the certification roadmaps
		AWS cloud certifications
		Google Cloud certifications
		Microsoft Azure Cloud certifications
	Developing cloud certification strategies
	Cloud certification exam practice questions
		Google Cloud Digital Leader certification
		Google Cloud Associate Engineer certification
	JencoBank case study
		Company overview
		Company background
		Solution concept
		The existing technical environment
		Application – Customer loyalty portal
		CEO statement
		CTO statement
		CFO statement
		Google Cloud Professional Security Engineer certification
		AWS Cloud Practitioner certification
		AWS Data Analytics certification
		Microsoft Azure AI Foundations certification
		Microsoft Azure AI Engineer certification
	Summary
	Further reading
Chapter 17: Building a Successful Cloud Computing Career
	The cloud job market
	Soft cloud skills
	My cloud story
	Summary
Index
About Packt
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