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Basic AWS
Contents Covered
1. Overview and Concept on cloud and AWS
2. AWS Identity and Access Management (IAM)
3. Amazon Virtual Private Cloud (VPC)
4. Amazon Elastic Cloud Compute (EC2)
5. AWS Lambda
6. AWS Elastic Beanstalk
7. Amazon Simple Storage Service (S3)
8. AWS Elastic Block Storage (EBS)
9. AWS Relational Database Service (RDS)
10. Some Projects
Cloud Concept
• On Demand
• Pay as you go
• Great available of resources IaaS, PaaS and SaaS
• Larger network access
• Fault Tolerant , High Availability, Reliable
• Automatic System
• Rapid Scalable and elasticity
• Security
AWS
• General Features of cloud applicable
• Broad Range of service for different service models
• IaaS (AWS EC2)
• PaaS (Amazon Elastic Bean Stalk, Amazon RDS)
• SaaS (AWS SNS, Cloud Watch)
• Region, Availability Zone and Edge Location
IAM
• Manage User
• Create User, Manage-2FA, Reset Password
• Assign Policy, Assign to group, Delete User
• Manage Group
• Create Group, Assign User to group
• Assign Policy, Delete Group
• Manage Policy (Customer Inline and AWS Managed)
• Roles
VPC
• Isolated network architecture for user in AWS
• VPC spans region, Subnet spans availability zone
• Subnet can be public or private
• Route tables are used to define route in VPC
• Security group are like firewall and used to define incoming
and outgoing traffic (no deny rule and sticky)
• Network ACL are like firewall in network
EC2
• Virtual machines on cloud
• EC2 machine of different vendor can be chosen (Amazon,
Ubuntu, Red-hat, Windows)
• Different specification of EC2 machines can be chosen
based on vCPU, RAM, network performance
• AMI image of different server types can be found in market
place, community AMI as well as from our server.
• IAM role, user data, storage, security group and key can be
given
• Can be reserved, spot or on demand
AWS Lambda
• Server less component for computing
• Can be triggered based on action or by event
• Invoked and billed only when triggered
• Code can be written Python, Node.js, Go, Java
• Limitation in running time 15 minutes, disk space 512 MB,
deployment package 50MB, Payload size 6MB
• Requires specific IAM roles to perform actions
AWS Elastic Beanstalk
• Service for deploying and scaling web applications
developed with Java, .NET, PHP, Node.js, Python, Ruby, Go
and Dockers on familiar server such as Apache, Nginx
• We can simply upload our code and it automatically
handles deployment, from capacity provisioning, load
balancing, auto-scaling, to application health monitoring
• Full control over AWS resources powering our application
and underlying resources can be accessed any time
• No additional charge. Pay only for the resources used.
S3
• Storage service
• Data stored in bucket with filename being key
• Single Object limit is 5TB
• Persistent storage, file becomes object which is available
through a URL and can be accessed anywhere
• S3 Glacier is used for infrequent and archived data.
• Storage Classes: Standard, Intelligent-tiring, Infrequent
access, Single-zone infrequent access, Glacier, Glacier Deep
Archive
• Use Case: Storing application assets, Static app hosting,
backup and disaster, Staging area for big data, data archive
AWS Elastic Block Storage
• Like disk attached to machine in on-premise server
• Data stored as a block
• Can be attached to EC2 server and is used by Amazon RDS
• Fast read and write operation and used for application
which requires high throughput
• SSD based and HDD based storage are available
• Can preserve disk even if we terminate server and attach to
another server
Amazon RDS
• Database solution for cloud
• Managed service. No worry on physical server
maintenance, Patch update, backup scripting and HA
clustering
• Different vendor of databases are supported: MySQL, MS-
Server, Oracle, PostgreSQL, MariaDB, Aurora
• Configuration can be specified and read replica can be
created for load distribution
Some Projects
• Host Static Website in AWS S3
• Application that puts file to Amazon S3 in .xml
format, Lambda will then be triggered and store
that file in .csv format in another s3 bucket
• Install database on Amazon EC2 and connect it from
client GUI program
• Take backup of EBS and restore it by expanding
volume
For Practical
• Tech Tutorials YouTube channel
• Tech Tutorials Facebook page
• Tech Tutorials Instagram page

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Brief theoretical overview on AWS Components

  • 1.
  • 2. Basic AWS Contents Covered 1. Overview and Concept on cloud and AWS 2. AWS Identity and Access Management (IAM) 3. Amazon Virtual Private Cloud (VPC) 4. Amazon Elastic Cloud Compute (EC2) 5. AWS Lambda 6. AWS Elastic Beanstalk 7. Amazon Simple Storage Service (S3) 8. AWS Elastic Block Storage (EBS) 9. AWS Relational Database Service (RDS) 10. Some Projects
  • 3. Cloud Concept • On Demand • Pay as you go • Great available of resources IaaS, PaaS and SaaS • Larger network access • Fault Tolerant , High Availability, Reliable • Automatic System • Rapid Scalable and elasticity • Security
  • 4. AWS • General Features of cloud applicable • Broad Range of service for different service models • IaaS (AWS EC2) • PaaS (Amazon Elastic Bean Stalk, Amazon RDS) • SaaS (AWS SNS, Cloud Watch) • Region, Availability Zone and Edge Location
  • 5. IAM • Manage User • Create User, Manage-2FA, Reset Password • Assign Policy, Assign to group, Delete User • Manage Group • Create Group, Assign User to group • Assign Policy, Delete Group • Manage Policy (Customer Inline and AWS Managed) • Roles
  • 6. VPC • Isolated network architecture for user in AWS • VPC spans region, Subnet spans availability zone • Subnet can be public or private • Route tables are used to define route in VPC • Security group are like firewall and used to define incoming and outgoing traffic (no deny rule and sticky) • Network ACL are like firewall in network
  • 7. EC2 • Virtual machines on cloud • EC2 machine of different vendor can be chosen (Amazon, Ubuntu, Red-hat, Windows) • Different specification of EC2 machines can be chosen based on vCPU, RAM, network performance • AMI image of different server types can be found in market place, community AMI as well as from our server. • IAM role, user data, storage, security group and key can be given • Can be reserved, spot or on demand
  • 8. AWS Lambda • Server less component for computing • Can be triggered based on action or by event • Invoked and billed only when triggered • Code can be written Python, Node.js, Go, Java • Limitation in running time 15 minutes, disk space 512 MB, deployment package 50MB, Payload size 6MB • Requires specific IAM roles to perform actions
  • 9. AWS Elastic Beanstalk • Service for deploying and scaling web applications developed with Java, .NET, PHP, Node.js, Python, Ruby, Go and Dockers on familiar server such as Apache, Nginx • We can simply upload our code and it automatically handles deployment, from capacity provisioning, load balancing, auto-scaling, to application health monitoring • Full control over AWS resources powering our application and underlying resources can be accessed any time • No additional charge. Pay only for the resources used.
  • 10. S3 • Storage service • Data stored in bucket with filename being key • Single Object limit is 5TB • Persistent storage, file becomes object which is available through a URL and can be accessed anywhere • S3 Glacier is used for infrequent and archived data. • Storage Classes: Standard, Intelligent-tiring, Infrequent access, Single-zone infrequent access, Glacier, Glacier Deep Archive • Use Case: Storing application assets, Static app hosting, backup and disaster, Staging area for big data, data archive
  • 11. AWS Elastic Block Storage • Like disk attached to machine in on-premise server • Data stored as a block • Can be attached to EC2 server and is used by Amazon RDS • Fast read and write operation and used for application which requires high throughput • SSD based and HDD based storage are available • Can preserve disk even if we terminate server and attach to another server
  • 12. Amazon RDS • Database solution for cloud • Managed service. No worry on physical server maintenance, Patch update, backup scripting and HA clustering • Different vendor of databases are supported: MySQL, MS- Server, Oracle, PostgreSQL, MariaDB, Aurora • Configuration can be specified and read replica can be created for load distribution
  • 13. Some Projects • Host Static Website in AWS S3 • Application that puts file to Amazon S3 in .xml format, Lambda will then be triggered and store that file in .csv format in another s3 bucket • Install database on Amazon EC2 and connect it from client GUI program • Take backup of EBS and restore it by expanding volume
  • 14. For Practical • Tech Tutorials YouTube channel • Tech Tutorials Facebook page • Tech Tutorials Instagram page

Editor's Notes

  1. Learn by doing First two videos on theoretical concepts and later we go practically
  2. Great for start ups Give examples on IaaS (EC2), PaaS (RDS), SaaS (email, google doc) Nepal ma basera jun sukai tham ma infra establish possible IaaS ma pizza sabai afai IaaS, Base kinera PaaS, Online deliver SaaS Electricity, Internet and component failure Shared responsibility model Various vendors: AWS, GCP, Microsoft Azure, Digital Ocean (We’ll talk on AWS)
  3. Name batai clear huncha access and identitiy Who can access, what can they access and what action can they perform
  4. Public accessible from internet, private not accessible Internet gateway is required for internet access in public server, NAT gateway is required for internet access in private server
  5. Without managing / provisioning server Recurring or at fixed time, S3 initiate [Just write function and use it] S3 access to put in s3 and read s3
  6. Google Drive ma rakheko file jastai Accessed if permission is given Low price and high data access time
  7. Name batai clear cha data chai block block ma tukra vayera bascha so update haru garda ni fast huncha Utlimately read write operation depends on disk iops so chose carefully. No matter how fast net, OS and machine if disk slow then operation is slow