Introduction to Cloud Computing Virtual Classroom Live December 11, 2024

Course Overview

Module 1: Introduction to Cloud Computing

Defining cloud computing

• Services provided by the Cloud
• Differentiating types of clouds: public, private, and hybrid

Delivering services from the cloud

• Categorizing service types
• Comparing vendor cloud products: Amazon, Google, Microsoft, and others

Key drivers of cloud computing solutions

• Instantaneous provisioning of computing resources
• Tapping into unlimited storage capacity
• Cost-effective pay-as-you-use billing models

Evaluating barriers to cloud computing

• Handling sensitive data
• Aspects of cloud security
• Assessing governance solutions

Module 2: Cloud Computing Infrastructure

Virtualization

• Virtualization benefits and costs
• Creating VMs (Virtual Machines) in the Cloud

Managing Networking in the Cloud

• Cloud regions and zones
• Securing networks in the Cloud

Enabling technologies

• Accessing the Cloud – console access and command-line
• REST services
• Defining APIs for Cloud development and migration

Accessing IaaS

• Provisioning servers on demand
• Hosting websites on Virtual Machines
• Tools and support for management and monitoring

Hosting and Migrating Containers in the Cloud

• Packaging applications as containers
• Hosting containers using Platform as a Service (PaaS)

Module 3: Cloud Storage and Databases

Managing Data Growth

• Big Data – Volume, Velocity and Variety of data
• Why NoSQL – alternatives to traditional databases
• Why host data in the Cloud?
• Choosing the right Cloud data platforms

Using Cloud NoSQL

• Managing object storage
• Hosting static websites using object storage
• Other NoSQL platforms – document databases, columnar storage, and graph databases
• Denormalizing relational data for data analytics performance

Deploying Relational Databases in the Cloud

• Why host Databases using PaaS?
• Deployment options for databases for High Availability and resilience
• Autoscaling databases in the Cloud to meet demand

Hosting Data Warehouses in the Cloud

• Enabling data analytics and machine learning using data warehouses
• Exploring data warehouse hosting options
• Deploying a data warehouse

Module 4: Migrating to the Cloud

Managing Cloud costs

• Using Cloud Cost calculators
• Payment options for Cloud
• Managing risks of Cloud overspend

Architecting an Effective Cloud Solution

• Applying business goals and constraints to choosing Cloud platforms
• Using TOGAF best practices for Cloud deployment 
• Deploying Cloud Landing Zones
• Design for failure to ensure High Availability

Securing the Cloud

• The Shared Responsibility model for Cloud Security
• Tools and techniques for securing data and applications in the Cloud
• Security standards compliance

DevOps in the Cloud

• Infrastructure as Code
• Applying Agile principles to Cloud operations
• Using DevOps tools in the Cloud

Cloud Adoption Strategies

• Managing Cloud adoption risks
• Best practices for Cloud adoption

Prerequisites

• Working knowledge of Internet technologies, Microsoft Windows and Web applications Programming experience 

• A background with cloud computing is not required