Showing posts with label Microsoft Azure. Show all posts

Cloud Infrastructure and Services Training

Overview :
This course educates participants on building cloud infrastructure based on a cloud computing reference model. The reference model includes five fundamental layers (physical, virtual, control, orchestration, and service) and three cross-layer functions (business continuity, security, and service management) for building a cloud infrastructure. 

For each layer and cross-layer function, this course covers the comprising technologies, components, processes, and mechanisms. This course takes an open-approach to describe the concepts and technologies. Upon completing this course, participants will have the knowledge to make informed decisions on technologies, processes, and mechanisms required to build a cloud infrastructure.

Course Duration :
5 Days

Audience :
This course is intended for: 
Experienced IT professionals, who may not have had exposure to cloud computing
IT professionals responsible for architecting and managing cloud infrastructure
Students and professionals who are looking to pursue career in cloud computing

Prerequisite Knowledge/Skills :
Basic understanding of computer architecture, operating system, and database
Experience in compute system, storage and network infrastructure will be an added advantage

Course Objectives :
Upon successful completion of this course, participants should be able to:
  1. Describe cloud computing, its deployment and service models.
  2. Describe the cloud computing reference model and the key considerations to build a cloud infrastructure.
  3. Describe the key components and processes required to build physical, virtual, control, and service layers of a cloud infrastructure.
  4. Describe the service orchestration, business continuity, security, and service management functions for a cloud infrastructure.

Course Outline :
The content of this course is designed to support the course objectives.

• Module 1: Introduction to Cloud Computing
▬ Essential characteristics of cloud computing
▬ Cloud service models and cloud service brokerage
▬ Cloud deployment models

• Module 2: Building the Cloud Infrastructure
▬ Cloud computing reference model
▬ Deployment options and solutions for building cloud infrastructure
▬ Considerations for building cloud infrastructure

• Module 3: Physical Layer
▬ Compute system
▬ Storage system architectures
▬ Network connectivity

• Module 4: Virtual Layer
▬ Virtual layer functions
▬ Virtualization software
▬ Resource pool and virtual resources

• Module 5: Control Layer
▬ Control layer functions
▬ Control software
▬ Software-defined approach for managing IT infrastructure
▬ Resource optimization techniques

• Module 6: Service and Orchestration Layers
▬ Service layer functions
▬ Cloud portal
▬ Cloud interface standards
▬ Protocols for accessing cloud services
▬ Service orchestration
▬ Cloud service lifecycle

• Module 7: Business Continuity
▬ Business continuity and service availability
▬ Fault tolerance mechanisms
▬ Backup and replication
▬ Cloud application resiliency

• Module 8: Security
▬ Cloud security threats
▬ Cloud security mechanisms
▬ Governance, risk, and compliance

• Module 9: Service Management
▬ Service portfolio management processes
▬ Service operation management processes

For More Details : 
Learnage Academy
No :9/20 Palamner Road,
Kondasamuthram 
Gudiyatham.
+91 8189985551 
Tuesday, 23 January 2018
Posted by Sivapriya

Cloud Computing Training at Gudiyatham

Course Introduction :
This graduate-level course investigates cloud computing models, techniques, and architectures. Cloud computing has evolved as a very important computing model, which enables information, software, and other shared resources to be provisioned over the network as services in an on-demand manner. Students will be exposed to the current practices in cloud computing.
Topics may include distributed computing models and technologies, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), virtualization, security and privacy issues, performance and systems issues, capacity planning, disaster recovery, Cloud OS, federated clouds, challenges in implementing clouds, data centers, hypervisor CPU and memory management, cloud hosted applications, and other advanced and research topics in cloud computing.

WHAT KIND OF BACKGROUND DO I NEED ?
A working knowledge of Internet, browsers, MS Windows and Web applications is helpful but not required. Programming experience is also helpful but not required. If you do not possess knowledge of Linux we teach you that too.

WHAT BENEFIT I DO GET FROM THE CLOUD COMPUTING COURSE?
Yes! The course presents the business advantages of the cloud and also the technical benefits it can provide. The technical discussions are at a level that attendees with a business background can understand and apply. Where technical knowledge is required, sufficient guidance for all backgrounds is provided to enable activities to be completed and the learning objectives achieved.

World's Most Popular Cloud Computing Technologies are,
Salesforce.com-The Worlds No.1 CRM.
VMware, Inc-Virtualizes Computing.
Amazon Web Services(AWS)-Broad & Deep Core Cloud Infrastructure Services.
Linux OpenStack-Open source software for creating private and public clouds.
Microsoft Azure.

Syllabus :
#MODULE - 1
Introduction to Computing
Recent Stages in the cloud Computing
About Grid Computing in Cloud
Utility Computing in Cloud
Basics of Cloud Cluster Computing
Distributed system Computing and Evolutions in Cloud Computing

#MODULE - 2
Overview of Cloud Computing
(NIST) Model Overview
Basics, Cloud Service History . Cloud Computing history.
Properties,Characteristics.
Advantages and Disadvantages of Cloud Computing,Cloud computing

#MODULE - 3
Architecture of Cloud Computing
stacks in Cloud computing
Traditional computing architecture Comparison, Services providers.
How Cloud Computing Works, Networking and web services roles in Cloud computing, (XaaS)Service Models, protocols used.
(PaaS) -Platform as a Service.
(IaaS) -Infrastructure as a Service.
(SaaS) -Software as a Service.

#MODULE - 4
Infrastructure as a Service
Resource Virtualization of Cloud Computing
Server and Network in Infrastructure as a service
Storage Virtualization in Cloud Computing

#MODULE - 5
Platform as a Service (PAAS)
IBasics of PaaS
(SOA) Service Oriented Architecture and What is PaaS?
Cloud Management and Platform
Computation,storage,Google app engine's,Salesforce explanations
Microsoft Azure in Platform as a service
Working of Salesforce platform

#MODULE - 6
Software as a Service (SAAS)
Basics to SaaS
Web services in Cloud Computing
Web OS and Web 2.0 working Principles
Case Studies

#MODULE - 7
Service Management
Agreements and Service Level
Accounting and Billing in Service Management
Cloud vs Traditional Discussions
Working of Scaling factor

#MODULE - 8
Data Management
Cloud Services and Scalability
Data in cloud Computing
Large Scale Data Processing
Cloud and infrastructure Management
Host level security
Network level security
Application level security

For Details contact :
Learnage Academy
No : 9, Palamaner Road,
Kondasamuthram ,
Gudiyatham.
+91 8189985555

Sunday, 24 September 2017
Posted by Sivapriya

Total Pageviews

Popular Post

Blogger templates

- Copyright © Learnageacademy -- Powered by Blogger - Designed by Redback -