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Amazon Web Services for Solution Architects

Duration: 2 Days
Course Price: $1,495

Course Overview:
Cloud Computing is gaining increasing attention within enterprises of all shapes and sizes, but few technologists actually know how to properly scope, design, and construct Cloud solutions. Clouds are also not created equal; you need to choose the right cloud solution that suites your needs. The Amazon Web Services (AWS) platform provides an all-encompassing range of cloud services and components that will cost-efficiently meet the most demanding and diverse IT needs. Upon completion of this class, students will have fundamental understanding of AWS cloud computing environment and practical experience in designing, developing, and deploying AWS-based solutions.

Topics:
Cloud platform options
AWS components and services
Cloud security
Data persistence options
Architecting for High Availability
Audience:
Enterprise Architect, Solution Architect, Developer, Team Leads

Course Overview:
Cloud Computing is gaining increasing attention within enterprises of all shapes and sizes, but few technologists actually know how to properly scope, design, and construct Cloud solutions. Clouds are also not created equal; you need to choose the right cloud solution that suites your needs. The Amazon Web Services (AWS) platform provides an all-encompassing range of cloud services and components that will cost-efficiently meet the most demanding and diverse IT needs. Upon completion of this class, students will have fundamental understanding of AWS cloud computing environment and practical experience in designing, developing, and deploying AWS-based solutions.

Topics:
Cloud platform options
AWS components and services
Cloud security
Data persistence options
Architecting for High Availability
Audience:
Enterprise Architect, Solution Architect, Developer, Team Leads

Prerequisites:
Foundation knowledge in distributed computing and Web-based architecture


Outline:
Defining cloud characteristics
Types of clouds
Cloud economics
Technical aspects of the Cloud
Cloud Service Level Agreements (SLA)
Chapter 2. Overview of the AWS Ecosystem
AWS history
AWS architecture
AWS Management Console
Elastic Compute Cloud (EC2)
Elastic Block Store (EBS) Volumes
Simple Storage Service (S3)
Glacier (low-cost archive storage)
Amazon Relational Database Service (RDS)
Redshift (data warehouse service)
DynamoDB (NoSQL Data Store)
ElastiCache (in-memory cache)
AWS Analytics
Identity Access Management (IAM)
Virtual Private Cloud (VPC)
Elastic Beanstalk (AWS's Platform as a Service)
Virtual Private Cloud (VPC)
Amazon Simple Queue Service (SQS)
Simple Notification Service (SNS)
Email Sending Service (SES)
CloudFront (content delivery service)
CloudWatch (resource monitoring service)
Route 53 (AWS Domain Name System)
Elastic Load Balancer (ELB)
Auto Scaling
AWS Marketplace
Chapter 3. Working with S3
S3 SLA
Setting up your object repository
Understanding objects' properties
Deciding on in-place object encryption options
Deciding on storage redundancy options
Transmitting data in and out of the cloud
Integrating S3 into your solutions
Chapter 4. Working with EC2
Machine Images
Amazon Machine Images (AMI)
Setting up your EC2 instances
Learning EC2 lifecycles
Static and run-time metrics of EC2 instances
Attaching an EBS volume to an EC2 instance
Creating EBS snapshots
Elastic IPs
Instance run-time monitoring
Connecting to EC2
Chapter 5. Working with SQS
How SQS Works
Asynchronous messageing with SQS
Publishers and Consumers
Configuring SQS queues
Quality of service (QoS) attributes
Chapter 6. Identity Access Management (IAM)
Understanding IAM
Access keys
Mangaing permissions
Managin users and user groups
Multi-Factor Authentication (MFA)
IAM best practices
Chapter 7. Virtual Private Cloud (VPC)
Customizing the netwok topology in VPC
Architecting for multi-tiered applications
Applying SOA patterns in your VPC
Designing hybrid clouds with Virtual Private Network (VPN)
Chapter 8. Working with Beanstalk
Beanstalk development options
Supported technology stacks
Integration with AWS services
Software Development Life Cycle (SDLC) with Beanstalk
Comparison with Google App Engine (GAE)
Chapter 9. Working with RDS
DB Engine Choices
Operational benefits of RDS
Understanding standard and provisioned IOPS storage options
Using RDS replication for HA (High Availability)
Integration with ElastiCache
Chapter 10. NoSQL Options
RDBMS systems vs. NoSQL systems
Processing Big Data with NoSQL
The CAP Theorem
Working with DynamoDB
The DynamoDB data model
DynamoDB performance metrics
Understanding provisioned throughput capacity
Chapter 11. Architecting for High Availabilitiy
Desgining for failure
Desgining loosely-coupled systems
Cloud partitioning with Regions and Availability Zones
Elastic load balancing with ELB
Checking out application health
Scaling up and down with Auto Scaling
Administering self-healing
Using CloudWatch metrics

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