The Self-Taught Cloud Computing Engineer A Comprehensive Professional Study Guide to AWS, Azure, and GCP

Begin your exploration into cloud computing by developing deep knowledge of cloud technologies, enhancing hands-on skills, and achieving proficiency in cloud Key Features Teach yourself all about cloud computing with this easy-to-follow guide Develop a well-rounded skillset--from fundamentals to dat...

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Detalles Bibliográficos
Otros Autores: Song, Logan, author (author), Meng, Yu, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing, Limited [2023]
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009768140306719
Tabla de Contenidos:
  • 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
  • Other Books You May Enjoy.