Live Chat
Monday - Friday 8am - 6pm EST Chat Now
Contact Us
Monday - Friday 8am - 8pm EST 1-866-716-6688 Other Contact Options
Checkout

Cart () Loading...

    • Quantity:
    • Delivery:
    • Dates:
    • Location:

    $

SoftLayer Solutions Design

Explore e-commerce, social collaboration, and big data workloads when designing architecture on Softlayer's IaaS.

GK# 0748

Course Overview

TOP

This course is a three-day, instructor-led technical training class. Proof points from actual implementations are used to help you make architecture choices to design an effective solution on SoftLayer’s Infrastructure-as-a-Service (IaaS).

For each workload, a structured design process will be followed, including:

  • Analyzing business drivers and workload requirements
  • Making architecture decisions and justifying the choices
  • Designing the infrastructure
  • Creating the detailed design

The workloads—application hosting with e-commerce and social collaboration—have been selected because of common business application elements and workload characteristics that are pertinent across industries.  Each workload infrastructure is designed to give you an extensive overview of SoftLayer’s capabilities, which you can use when designing your own IaaS solution.

The infrastructure designs are presented to the class to encourage facilitated discussion, which will help reinforce understanding, approach, and application of architecture principles. You will be guided through an initial workload on e-commerce, given assistance with a second on social collaboration, and apply what you have learned to a third workload on big data and cost optimization.

What You'll Learn

TOP
  • Apply the SoftLayer capabilities in a structured process to meet workload characteristics
  • Weigh architecture design alternatives in order to meet business goals, including scalability, availability, and cost effectiveness
  • Justify the choices made and the benefits to be gained
  • Architect a design to meet your workload needs, based on the presented scenarios
  • Use learning tools to apply the process to another scenario

Outline

TOP
Viewing outline for:

Classroom Live Outline

Day 1

Guided workshop

  • Guided analysis of e-commerce needs using a client case study
  • Make the architecture choices: moving from an architecture to a component viewpoint
    • Identify key infrastructure requirements
    • Design the infrastructure
    • Create the detailed design
  • Applying the process: summarize the process, technologies selected, and lessons learned

Instructors will guide you through the e-commerce infrastructure design and decisions, including compute, storage, network, security, and other choices. You will view the infrastructure design from its component and functional levels to a logical diagram.

Day 2

Assisted workshop

  • Assisted analysis of a social collaboration workload using a client case study
  • For each architecture decision: 
    • Discuss the problem statement
    • Evaluate the possible alternatives
    • Justify the decision made
  • Determine the architectural decisions for  
    • Compute
    • Storage
    • Networking
    • Scalability
    • Security
    • High availability
    • Disaster recovery
    • Multi-site needs

Instructors will assist and consult with you on a social collaboration infrastructure design and decisions, including compute, storage, network, security, and other choices. You will present your group's findings to the class, get feedback, and provide feedback to the findings of the other groups.

Day 3

Apply what you have learned to a third workload

  • Analyze a big data and cost optimization workload using a client case study
  • For each architecture decision: 
    • Discuss the problem statement
    • Evaluate possible component alternatives
    • Justify the decisions made
  • Determine the architectural decisions for  
    • Compute
    • Storage
    • Networking
    • Scalability
    • Security
    • High availability
    • Disaster recovery
    • Multi-site needs
  • Present your group's findings to the class, get feedback, and provide feedback to the findings of the other groups

Your work group will collaborate on a big data infrastructure design and architecture decisions, including compute, storage, network, security, and other choices. Your group's findings will be presented to the class, get feedback, and provide feedback to the findings of the other groups.

Labs

TOP
Viewing labs for:

Classroom Live Labs

All labs are paper based.

Prerequisites

TOP
  • Have attended SoftLayer Fundamentals instructor-led training, or have equivalent working knowledge of the capabilities of SoftLayer IaaS
  • Working knowledge and familiarity with:
    • Cloud computing concepts
    • Distributed systems
    • Multi-tier architectures

Who Should Attend

TOP
  • Architect:  Cloud, enterprise, IT, solution and technical architects
  • Engineer:  Software, solution, systems, network and storage engineers
  • Support:  Client service and technical support
  • CTO and Strategy:  IT, integration, and business transformation
  • Individuals who need to understand how to design for the three workloads covered in class: e-commerce, social collaboration, and big data cost optimization
  • Individuals who are designing solutions which need to address workload characteristics including, but not limited to:
    • Support highly variable and unpredictable compute and storage requirements
    • Provide "anywhere, anytime, any device" access, as well as integrate to existing back-end systems
    • Deliver critical web response times with limited network latency on a global basis
    • Be fully secure and support unique access from multiple endpoints for both management and client access
    • Be fault tolerant and able to survive a myriad of failure scenarios and include reliability on a global scale strategy
Course Delivery

This course is available in the following formats:

Classroom Live

Receive face-to-face instruction at one of our training center locations.

Duration: 3 day

Request this course in a different delivery format.
Enroll