Why do I need to learn about cloud computing?

Because you will develop software systems that often leverage cloud services for quick deployment, scalable computation, and storage.

What can I do after finishing learning cloud computing?

You will be able to

• deploy software systems to public clouds,
• build your own private cloud,
• develop software using cloud plaftforms,
• develop software using cloud services,
• leverage cloud services for training and deploying machine learning models,
• leverage cloud services for big data analytics and reporting.

What should I do now?

First, please read this book to learn about the core concepts of cloud computing: Dan C. Marinescu (2022). Cloud Computing – Theory and Practice. Morgan Kaufmann.

After that, please read this book to gain hands-on experience with Amazon cloud services: Andreas Wittig and Michael Wittig (2023). Amazon Web Services in Action. Manning Publications.

After that, please read this book to gain hands-on experience with VMware private cloud products: Nick Marshall et al. (2018). Mastering VMware vSphere 6.7. Sybex.

After that, please read this book to gain hands-on experience with Spark: Bill Chambers and Matei Zaharia (2018). Spark: The Definitive Guide. O’Reilly Media.

After that, please read the books below to gain hands-on experience with the Salesforce platform:

• Rakesh Gupta (2020). Salesforce Platform App Builder Certification – A Practical Study Guide. Apress
• Philip Weinmeister (2019). Practical Salesforce Development Without Code – Building Declarative Solutions on the Salesforce Platform. Apress

Terminology Review:

• Multitenancy.
• Cloud Computing.
• Grid Computing.
• Fog Computing.
• Datacenters, Public Clouds, Private Clouds, Hybrid Clouds.
• ∞×∞
• Infrastructure as a Service.
• Hypervisors, Virtual Machines.
• Software-Defined Networking: Virtual Switches, Virtual Distributed Switches, Virtual Routers, Virtual LANs.
• ∞×∞
• Direct-Attached Storage, RAID, File Systems.
• Network-Attached Storage (NAS), Storage Area Network (SAN).
• Block Storage Services, File Storage Services, Object Storage Services, Relational Database Services, NoSQL Storage Services, Vector Storage Services.
• The Google File System.
• Amazon Aurora.
• Bigtable.
• Spanner.
• ∞×∞
• Programming in the Cloud: MapReduce, Hadoop, Spark.
• ∞×∞
• Cluster Management: Borg and Omega.
• ∞×∞
• Cloud-Native Applications: Microservices, Containers (Docker), Container Orchestration (Kubernetes, Helm), Event-Driven Architecture, DevOps, Identity and Access Management, Observability and Monitoring (Prometheus), Infrastructure as Code (Terraform, CloudFormation).
• ∞×∞
• Serverless Computing (Function as a Service): OpenLambda, Firecracker, AWS Serverless Application Model, Front End, Compute, Workflows, Storage, Identity and Access Management, Reporting.
• ∞×∞
• Platform as a Service: Salesforce Platform, Google App Engine, Azure Web Apps, AWS Elastic Beanstalk.
• ∞×∞
• Software as a Service.

After finishing cloud computing, please click on Topic 27 – Introduction to Blockchain to continue.