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Cisco Fog Computing Solutions for AMs - FOGAM-WS
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Currently there are no public dates for this course. We can offer you a private group training, or you can pre-register upfront for a future public class. Please contact us.
Turning Data into Value is the heart of the Internet of Everything. Traditional models of computing, storing and transporting data are being disrupted in order to efficiently and effectively realize this potential. “Cloud Computing” has become a top technical initiative for almost every organization, but there are use cases that don’t allow for this model of operation. Fast Lane’s Cisco Fog Computing Solutions for AMs provides sales professionals with a comprehensive look at how Cisco’s Fog Computing Solutions provide a unique approach to solving a wide range of business problems, enabling organizations in a variety of sectors to achieve business outcomes never before imagined. Attendees will receive an introduction to the business problems that Cisco Fog Computing Solutions solve, and a tour of the related portfolio. Finally, AMs will develop an understanding of how to lead customers in Fog Compute discussions in various use cases.
Attendees should have a professional understanding of Cisco route and switch technology.
Understand the business drivers behind Fog Compute Models
Insight into the use cases coming out of the industrial verticals and the Enterprise
Review of the key components, protocols and devices driving Fog Computing Solutions
Understand the desired Business Outcomes that are the foundation of Fog Computing Solutions
Understand the High Level Architecture of Fog / Cloud Architectures
Be able to describe, high level, the IOx, Data in Motion (DMo)
Understand the Safety, Security and Trust ramifications of Fog Compute scenarios
Understand the Cisco IOx ready portfolio
Module 1: Fog Computing and the Marketplace
Objective: Understanding the drivers across multiple industries, with use cases described from energy and power grid to air crafts and construction.
Fog Computing for Energy & the Power Grid: Generation, Distribution and Smart Metering use cases)
Fog Computing for Oil and Gas: Pipeline and Oil Well Monitoring and Control
Wind and Solar Farm Use Cases
Mining use Cases
Manufacturing Use Cases
Robotics Use Cases
Construction and Crane Use Cases
Transportation Use Cases (Air, Rail, Smart City, Buses, Urban Environments and Traffic Management)
Physical Asset Management
Surveillance and Security System Use Cases
Water System Use Cases: Collection, Purification, Distribution, and Consumption.
Module 2: Fog Computing Technology and Scope
Objective: Understanding the technological landscape of the Internet of Things in the Enterprise
Consumer IoT: Cloud-connected Mobile devices and Personal Sensors
Enterprise IoT and Fog Compute Models
Types of Things: Sensors, Activators and SCADA Systems
Industrial Networks, Protocols
Industrial Modernization: Opportunities and Requirements driving IP Network adoption
Module 3: Fog Computing and Business Outcomes for Enterprise IoT
Objective: Detailing the Business Outcomes and Challenges driving Fog Computing Models
Industrial IoT Business Objectives: Efficiency of Equipment and of Operations
Challenges of Limited Bandwidth, Latency concerns, Network reliability and cost models
Module 4: High Level Overview of Fog / Cloud Architecture
Objective: Defining the High level Architectural requirements for implementing Fog Compute Solutions.
Cloud Architecture and Limitations
Fog Architecture High Level
Designing at the Edge: the client, control and configuration, measurement & control signaling, resource pooling and caching
Applications in the Fog: Data Collection, local (edge) use, central (Cloud) use
Module 5: The Cisco Fog Computing Solution
Objective: Understanding the Cisco Fog Computing Architecture and Portfolio
High Level Cisco Fog Infrastructure
The Cisco Fog Compute Platform: Hardened edge servers, Embedded Compute, Embedded Storage, Accessible Interfaces and Application Enablement
The IOx SDK
Application management and Security
Sensors and End Point: Bringing intelligence and connectivity to legacy unconnected devices