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Elements and Performance Criteria

1. Identify high-availability requirements
   • Determine reliability, recoverability and service levels required for application
   • Determine cloud infrastructure according to business needs
   • Identify level of shared security responsibility models according to business needs
2. Evaluate architecture availability
   • Review architecture of traditional multi-tier web application in non-cloud environment and identify high availability requirements
   • Identify any single points of failure
   • Estimate recovery objectives for multi-tier web components and for overall architecture
   • Determine components that must scale vertically and the potential impact on system availability
   • Document architecture review findings according to business needs
3. Design cloud-based architecture for high availability
   • Design equivalent architecture for high availability using cloud services
   • Identify and remove single points of failure as required
   • Estimate recovery objectives for each component and overall architecture
   • Determine components that must scale vertically and the potential impact on system availability
   • Document architecture design according to business needs
4. Implement cloud-based architecture for high availability
   • Implement architecture design in cloud environment
   • Demonstrate connectivity between resources at all tiers
   • Monitor and measure availability of resources
   • Simulate failures of component and confirm that infrastructure is fault tolerant
   • Simulate resizing components likely to impact performance and measure availability impact
   • Compare and document simulation findings according to documented design
5. Finalise cloud infrastructure
   • Adjust and improve availability of architecture according to simulations as required
   • Confirm, seek and respond to feedback with required personnel
   • Obtain final sign off from required personnel

Performance Evidence

The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, and to:

design and implement at least one fault tolerant cloud infrastructure on a cloud platform resilient to networking, compute, storage, database and data centre failures

design and deploy automated infrastructure scaling for at least one business need

simulate failures of at least one component and demonstrate is fault tolerant.

In the course of the above, the candidate must:

use cloud management console, software development kits or command line tools

define, monitor and record resource availability in cloud environment, including:

reliability

recoverability

service levels

scalability.

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Knowledge Evidence

The candidate must demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit. This includes knowledge of:

industry technology standards used in cloud computing solutions and services

current industry standard hardware and software products, their general features, capabilities and application, including storage technology

different cloud cost models as they relate to scalability of cloud infrastructure

definitions, functions, features and uses of different cloud infrastructure resources as they apply in cloud architecture to high availability, including:

fault tolerance and single points of failure

reliability as defined by mean time to failure (MTTF), to repair (MTTR) and between failures (MTBF)

recoverability as measured by recovery time (RTO) and recovery point (RPO) objectives

service level agreements (SLAs)

vertical and horizontal scalability

testing and debugging techniques, including techniques to avoid single point failures

tools and techniques to measure availability impact

features of cloud services, including differences between built-in fault tolerance and infrastructure designed for fault tolerance

purpose and features of load balancing and autoscaling as related to improve availability within cloud environment

techniques, methods and industry standard metrics used to monitor performance of cloud resources.

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