What this book covers
Chapter 1, Amazon EC2 and Compute Services, introduces AWS cloud compute services including EC2, among others.
Chapter 2, Amazon Cloud Storage Services, delves into AWS cloud storage services including EBS, EFS, S3, and so on.
Chapter 3, Amazon Cloud Networking Services, discusses AWS cloud networking services, including VPC, Amazon Direct Connect, Amazon Domain Name Service (DNS), and Content Delivery Network (CDN).
Chapter 4, Amazon Cloud Database Services, covers relational databases, NoSQL databases, and data warehouses in the AWS cloud.
Chapter 5, Amazon Cloud Big Data Services, explores AWS big data services for data ingestion, storing, processing, and visualization in the Amazon cloud.
Chapter 6, Amazon Cloud Machine Learning Services, examines AWS cloud machine learning (ML) services, including SageMaker and AWS ML API services.
Chapter 7, Amazon Cloud Security Services, addresses AWS cloud security services for hardening the Amazon cloud environment.
Chapter 8, Google Cloud Foundation Services, covers Google Compute Engine (GCE), Persistent Disks (PDs), network storage (Filestore), Google Cloud Storage (GCS), Google VPC, and VPC peering.
Chapter 9, Google Cloud Data Services, covers GCP data services such as Cloud SQL, Firestore, Datastore, and Bigtable; and GCP big data services, including BigQuery, Pub/Sub, Dataproc, Dataflow, and so on.
Chapter 10, Google Cloud AI Services, examines GCP ML services, focusing on GCP Vertex AI and AI APIs.
Chapter 11, Google Cloud Security Services, discusses GCP security services including endpoint security, network security, data security, and Security Command Center (SCC), which is the focal point of this chapter.
Chapter 12, Azure Cloud Foundation Services, explores the concepts of Azure cloud virtual machines and disk storage, file storage, Binary Large Object (BLOB) storage, queue storage, table storage, Azure vNets, and peering.
Chapter 13, Azure Cloud Data Services, covers Azure cloud-managed database services such as relational databases (Azure SQL Database), NoSQL databases (Azure Cosmos DB), and cache databases (Azure Cache for Redis), and discusses Azure big data services including Azure Data Factory, Azure Databricks, and Azure HDInsight.
Chapter 14, Azure Cloud AI Services, discusses Azure Machine Learning workspaces and Azure Cognitive Services, including the Azure OpenAI service.
Chapter 15, Azure Cloud Security Services, covers Microsoft Azure cloud security, including Azure security best practices, the Azure cloud security reference architecture, and an Azure security case study of a real-life project.
Chapter 16, Achieving Cloud Certification, reviews cloud certification roadmaps for AWS, Azure, and GCP, develops cloud exam strategies, and analyzes practice questions for seven cloud certification exams.
Chapter 17, Building a Successful Cloud Computing Career, discusses the cloud job market and the soft skills in a cloud career, and I share my own cloud story.