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Course Outline
Virtualization Fundamentals
- Overview of Operating System Concepts: CPU, Memory, Network, Storage
- Hypervisor
- The concept of the 'Supervisor of Supervisors'
- 'Host' machine and 'guest' operating systems
- Differences between Type-1 and Type-2 Hypervisors
- Key platforms: Citrix XEN, VMware ESX/ESXi, MS Hyper-V, IBM LPAR.
- Network Virtualization
- Introduction to the 7-Layer OSI Model
- Specific focus on the Network layer
- The TCP/IP Model or Internet Protocol
- Detailed Exploration of Specific Layers
- Application Layer: SSL
- Transport Layer: TCP
- Internet Layer: IPv4/IPv6
- Link Layer: Ethernet
- Packet Structure and Components
- Addressing: IP Addresses and Domain Names
- Network Devices: Firewalls, Load Balancers, Routers, Adapters
- Virtualized Networks
- Higher-level concepts: Subnets and Zones.
- Practical Exercise:
- Become familiar with ESXi clusters and the vSphere client.
- Create and update networks within an ESXi Cluster, deploy guests from VMDK packages, and enable connectivity between guests in the cluster.
- Modify a running VM instance and capture a snapshot.
- Update firewall rules in ESXi using the vSphere client.
2. Cloud Computing: A New Paradigm
- A rapid and cost-effective method to make products or solutions globally available
- Resource Sharing
- Virtualization within virtualized environments
- Key Advantages:
- On-demand resource elasticity
- Move from ideation to coding and deployment without managing physical infrastructure
- Accelerated CI/CD pipelines
- Environment isolation and vertical autonomy
- Enhanced security through layering
- Cost optimization strategies
- On-demand resource elasticity
- On-premise Clouds vs. Cloud Providers
- Cloud as a conceptual abstraction for distributed computing
3. Overview of Cloud Solution Layers:
- IaaS (Infrastructure as a Service)
- Providers: AWS, Azure, Google
- Select one provider to continue; AWS is recommended.
- Introduction to AWS VPC, AWS EC2, etc.
- PaaS (Platform as a Service)
- Platforms: AWS, Azure, Google, CloudFoundry, Heroku
- Introduction to AWS DynamoDB, AWS Kinesis, etc.
- SaaS (Software as a Service)
- Brief overview
- Examples: Microsoft Office, Confluence, SalesForce, Slack
- Hierarchical Relationship: SaaS is built on PaaS, which is built on IaaS, which is built on Virtualization
4. IaaS Cloud Practical Project
- The project utilizes AWS as the IaaS Cloud Provider
- Use CentOS/RHEL as the operating system for the remainder of the exercise
- Alternatively, Ubuntu is acceptable, though RHEL/CentOS are preferred
- Obtain individual AWS IAM accounts from your cloud administrator
- Each participant must complete these steps independently
- The ability to provision entire infrastructure on-demand best demonstrates the power of cloud computing
- Use AWS Wizards or the online console to complete these tasks unless otherwise specified
- Create a public VPC in the us-east-1 Region
- Set up two Subnets (Subnet-1 and Subnet-2) in different Availability Zones
- Refer to https://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Scenarios.html for guidance.
- Create three distinct Security Groups
- SG-Internet
- Permits incoming traffic from the Internet on https 443 and http 80
- No other inbound connections are allowed
- SG-Service
- Permits incoming traffic only from the SG-Internet security group on https 443 and http 80
- Permits ICMP only from SG-Internet
- No other inbound connections are allowed
- SG-SSH:
- Allows SSH:22 inbound connections only from the single public IP address of the participant’s lab machine. If the machine is behind a proxy, use the proxy’s public IP.
- SG-Internet
- Set up two Subnets (Subnet-1 and Subnet-2) in different Availability Zones
- Deploy an AMI instance for your chosen OS -- ideally the latest RHEL/CentOS version available -- and host it in Subnet-1. Attach the instance to the SG-Service and SG-SSH groups.
- Access the instance via SSH from your lab machine.
- Install an NGINX server on this instance
- Add static content of your choice -- such as HTML pages and images -- to be served by NGINX on port 80 (HTTP) and define URLs for them.
- Test the URL from the same machine.
- Create an AMI image from this running instance.
- Deploy the new AMI and host the instance in Subnet-2. Attach the instance to the SG-Service and SG-SSH groups.
- Start the NGINX server and verify that the access URL for the static content created in the previous step works correctly.
- Create a new 'classic' Elastic Load Balancer and associate it with SG-Internet.
- Note the differences between a classic ELB, Application Load Balancer, and Network Load Balancer.
- Configure routing rules to forward all http 80 and https 443 traffic to a target group comprising the two instances created above.
- Use a certificate management tool (such as java keytool) to generate a key pair and self-signed certificate, then import the certificate into AWS Certificate Manager (ACM).
5. Cloud Monitoring: Introduction and Practical Project
- AWS CloudWatch metrics
- Access the AWS CloudWatch dashboard for the instances
- Collect relevant metrics and analyze their variations over time
- https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/viewing_metrics_with_cloudwatch.html
- Collect relevant metrics and analyze their variations over time
- Access the AWS CloudWatch dashboard for the ELB
- Monitor ELB metrics and interpret their fluctuations over time
- https://docs.aws.amazon.com/elasticloadbalancing/latest/classic/elb-cloudwatch-metrics.html
6. Advanced Concepts for Further Study
- Hybrid Cloud -- Combining on-premise and public cloud
- Migration: From on-premise to public cloud
- Application code migration
- Database migration
- DevOps
- Infrastructure as Code
- AWS CloudFormation Templates
- Auto-scaling
- Using AWS CloudWatch metrics to assess health
Requirements
No specific prerequisites are required to participate in this course.
Target Audience
Software Engineers and Computer Scientists who possess a solid understanding of algorithms and proficiency in at least one programming or scripting language, but have no prior experience with cloud computing.
21 Hours
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