Cloud Computing: Principles and Technology intensive course

George Feuerlicht

Course in InSIS – 4IT482
Date: 22-24 January 2024, exam – 26 January, 2024
3 ECTS
Registrations: are open from 23 October 2023
your own laptop is requried

Dr George Feuerlicht is an Associate Professor at the Department of Information Technologies at the Unicorn University and a visiting lecturer at the Prague University of Economics and Business. George has been involved in database research and teaching for over three decades. He has presented seminars and professional development courses in Australia, Europe, Asia and USA. He is the author of over 100 publications across a range of topics in computer science. He holds a PhD in Electrical Engineering from the Imperial College, London University, U.K.

Cloud computing has become the dominant approach for the implementation of information systems with many government and private organizations migrating their entire IT infrastructure to the cloud. Most recently, AI and ML (Machine Learning) services, available on leading cloud platforms, have provided a new motivation for the adoption of cloud computing. Most experts today recognize the benefits of cloud computing that include fast implementation, cost reduction and a potential for rapid innovation. However, the fast rate of evolution of cloud technologies and the complexity of managing large-scale cloud deployments represent a challenge for organizations making the transition into the cloud. This three-day course aims to provide the attendees with a balanced view of cloud computing covering the basic cloud concepts and terminology and discussing the benefits and challenges of cloud adoption. The course includes demonstrations and practical hands-on exercises using Amazon Web Services, including EC2, S3, Lambda, RDS and NoSQL databases and a range of AI and ML services.

Course Content

• Introduction to cloud computing: current IT technology trends, business motivations and
  technology drivers, benefits and challenges, cloud vs on premises IT, cloud computing in
  a historical context, cloud computing case studies
• Cloud computing concepts and terminology: SOA services, APIs, virtual machines and
  containers, serverless computing, DevOps and microservices, cloud computing service
  models (SaaS, IaaS, PaaS, etc.), cloud computing deployment models (public, private, and
  hybrid clouds), multitenancy and polymorphic applications, etc.
• Cloud databases: SQL and NoSQL databases, document databases, column databases,
  graph databases, etc. CAP theorem and BASE consistency, tunable consistency, NoSQL
  examples: MongoDB, Amazon DynamoDB, Neo4J, AWS Athena, etc.
• Public cloud platforms: AWS, Azure, Google Cloud Platform. AWS core services: EC2, EBS,
  S3, RDS (Oracle, DynamoDB, Amazon Aurora), ML, etc.Cloud computing architectures and open source frameworks: NIST Reference
  Architecture, Kubernetes, Cloud Foundry, etc.
• Cloud computing adoption: migration readiness and planning, migration strategies,
  AWS Adoption Framework
• Future directions: Industrialization of IT, IoT, Machine Learning, etc.