Cloud Management and Security: Principles and Best Practices

By the end of the program, participants will be able to: 

1. Understand Cloud strengths and misconceptions, and discuss its benefits and weaknesses
2. Explain Cloud structure, properties and management services
3. Set a Cloud adoption strategy
4. Discuss the main requirements to move current Cloud untrusted infrastructure to a trustworthy Internet-scale Cloud critical computing infrastructure
5. Analyze the major risks associated with the different Cloud services and deployment models
6. Discuss the main principles, mechanisms and best practices for treating Cloud risks
7. Demonstrate the discussed concepts using practical case studies, business models and industrial tools

IT and infrastructure leaders, decision makers (CxO), risk analysts, strategic planners, architects, administrators, software and business developers, and project managers.

Cloud Overview: 

• Cloud definition, misconceptions and evolution
• Cloud services and deployment types
• Challenges

Cloud Management: 

• Cloud structure and its properties
• Virtual and application layer management services
• Cloud dynamic nature and its challenges
• Application development and integration within Clouds
• Security best practices for automating Cloud infrastructure management
• Clarify the concepts using industrial platforms

Establishing Trust in Clouds: 

• Define Cloud trustworthiness and its properties
• Assessing Cloud trustworthiness
• Establishing trust in private, hybrid, community and public cloud deployment types
• Establishing trust in IaaS, PaaS and SaaS Cloud services
• Clarify the concepts using Openstack management platform

Identity and Access Management: 

• Authentication, authorization and access management 
• Federated access management
• Insiders vs attackers
• Insiders analysis and management
• Related industrial tools, e.g. Cloud insider treatments, and cloud strong authentication

Provenance in Clouds: 

• Definition and attributes
• Challenges
• Security risks mitigation using provenance
• Case studies for using provenance: forensic investigation, trustworthy operational management, proactive and predictive management, bill assurance 
• Related industrial tools

• The Training lectures.
• The Group discussions.
• The Training Workshops.