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Course Outline
Virtualization Fundamentals
- Overview of Operating System Concepts: CPU, Memory, Network, and Storage
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Understanding Hypervisors
- The supervisor of supervisors
- Distinguishing between the "Host" machine and "Guest" OS
- Differences between Type-1 and Type-2 Hypervisors
- Examples: Citrix XEN, VMware ESX/ESXi, MS Hyper-V, IBM LPAR
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Network Virtualization
- Brief introduction to the 7-Layer OSI Model
- Focus on the Network layer
- TCP/IP Model or Internet Protocol
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Detailed Focus on Specific Layers
- Application Layer: SSL
- Network Layer: TCP
- Internet Layer: IPv4/IPv6
- Link Layer: Ethernet
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Packet Structure and Networking Components
- Addressing: IP Addresses and Domain Names
- Hardware: Firewalls, Load Balancers, Routers, Adapters
- Virtualized Networks
- Higher-order abstractions: Subnets and Zones
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Hands-on Exercise
- Familiarization with the ESXi cluster and vSphere client.
- Creating and updating networks in the ESXi Cluster, deploying guests from VMDK packages, and enabling inter-connectivity between guests within an ESXi cluster.
- Modifying a running VM instance and capturing a snapshot.
- Updating firewall rules in ESXi using the vSphere client.
2. Cloud Computing: A Paradigm Shift
- A fast, cost-effective pathway to make products or solutions available globally.
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Resource Sharing
- Virtualization of the virtualized environment
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Key Benefits
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On-demand resource elasticity
- Ideate → Code → Deploy without requiring dedicated infrastructure
- Rapid CI/CD pipelines
- Environment isolation and vertical autonomy
- Security through layering
- Expense optimization
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On-demand resource elasticity
- On-premise Cloud and Cloud Providers
- Cloud as an effective conceptual abstraction for distributed computing
3. Introduction to Cloud Solution Layers:
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IaaS (Infrastructure as a Service)
- Providers: AWS, Azure, Google
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Selection of one Provider for continued study. AWS is recommended.
- Introduction to AWS VPC, AWS EC2, etc.
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PaaS (Platform as a Service)
- Providers: AWS, Azure, Google, CloudFoundry, Heroku
- Introduction to AWS DynamoDB, AWS Kinesis, etc.
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SaaS (Software as a Service)
- Very brief overview
- Examples: Microsoft Office, Confluence, SalesForce, Slack
- SaaS builds on PaaS, which builds on IaaS, which builds on Virtualization
4. IaaS Cloud Hands-on Project
- The project utilizes AWS as the IaaS Cloud Provider.
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Use CentOS/RHEL as the operating system for the remainder of the exercise.
- Alternatively, Ubuntu can be used, but RHEL/CentOS are preferred.
- Obtain individual AWS IAM accounts from your cloud administrator.
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Each student must complete these steps independently.
- The ability to carve out your own entire infrastructure on-demand is the best demonstration of the power of cloud computing.
- Use AWS Wizards and AWS online consoles to accomplish these tasks unless otherwise specified.
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Create a public VPC in the us-east-1 Region.
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Create two Subnets (Subnet-1 and Subnet-2) in two different Availability Zones.
- See https://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Scenarios.html for reference.
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Create three separate Security Groups.
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SG-Internet
- Allows incoming traffic from the Internet on https port 443 and http port 80.
- No other incoming connections are allowed.
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SG-Service
- Allows incoming traffic only from security group SG-Internet on https port 443 and http port 80.
- Allows ICMP only from SG-Internet.
- No other incoming connections are allowed.
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SG-SSH:
- Allows SSH port 22 incoming connections only from a single IP that matches the public IP of the student’s lab machine. If the lab machine is behind a proxy, use the public IP of the proxy.
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SG-Internet
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Create two Subnets (Subnet-1 and Subnet-2) in two different Availability Zones.
- Deploy an instance of an AMI pertaining to your chosen OS -- preferably the latest RHEL/CentOS versions available in AMIs -- and host the instance on Subnet-1. Attach the instance to the SG-Service and SG-SSH groups.
- Access the instance using SSH from your lab machine.
- Install the NGINX server on this instance.
- Place static contents of your choice -- HTML pages, images -- to be served by NGINX (on port 80 over HTTP) and define URLs for them.
- Test the URL from that machine itself.
- Create an AMI image from this running instance.
- Deploy that new AMI and host the instance on Subnet-2. Attach the instance to the SG-Service and SG-SSH groups.
- Run the NGINX server and validate that the access URL for the static content, as created in the previous step, works correctly.
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Create a new "classic" Elastic Load Balancer and attach it to SG-Internet.
- Note the difference between Classic Load Balancer, Application Load Balancer, and Network Load Balancer.
- Create a routing rule forwarding all http port 80 and https port 443 traffic to an instance group comprising the two instances created above.
- Using any certificate management tool -- such as Java keytool -- create a key-pair and self-signed certificate and import the certificate to AWS Certificate Manager (ACM).
5. Cloud Monitoring: Introduction and Hands-on Project
- AWS CloudWatch metrics.
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Go to the AWS CloudWatch dashboard for the instances.
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Retrieve the relevant metrics and explain their variability over time.
- https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/viewing_metrics_with_cloudwatch.html
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Retrieve the relevant metrics and explain their variability over time.
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Go to the AWS CloudWatch dashboard for the ELB.
- Observe the ELB metrics and explain their variability over time.
- https://docs.aws.amazon.com/elasticloadbalancing/latest/classic/elb-cloudwatch-metrics.html
6. Advanced Concepts for Further Learning
- Hybrid Cloud -- on-premise and public cloud integration.
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Migration: On-premise to public cloud.
- Application code migration.
- Database migration.
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DevOps
- Infrastructure as Code.
- AWS CloudFormation Template.
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Auto-scaling
- Using AWS CloudWatch metrics to determine health.
Requirements
There are no specific prerequisites required to enroll in this course.
21 Hours
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