Data Center Technology
| Language of instruction | čeština |
|---|---|
| Code | 460-4173 |
| Abbreviation | TDC |
| Course title | Data Center Technology |
| Coordinating department | Department of Computer Science |
| Course coordinator | Mgr. Ing. Michal Krumnikl, Ph.D. |
Summary
The purpose of the course is to equip students with key skills and competencies that will allow them to independently analyze and examine various architectures of modern data centers. Students will determine their scalability, redundancy, and overall efficiency, which they will then appraise and evaluate. They will learn to design and arrange logical and physical infrastructure using standard modules and concepts such as Spine-Leaf topology, and at the same time they will be able to assess and choose the appropriate TIER certification of a data center based on the required reliability and availability. At the same time, they will memorize and recognize the meaning of metrics such as PUE (Power Usage Effectiveness) to calculate and optimize the energy consumption.
After completing the course, students will be able to apply the key principles in practice, configure and implement advanced network technologies for logical separation of customers in the data center, including VRF Lite, Private VLAN and MPLS/VPN, analyze, identify, and solve problems associated with the operation and interconnection of multiple data centers (multi-site DC), using modern technologies such as EVPN and VxLAN, which in contrast overcome the limitations of traditional protocols, such as Spanning Tree. The deployment and management of key monitoring and diagnostic tools such as NetFlow, SNMP, and NetConf, which are essential for maintaining network stability and performance, will also be reviewed.
The final part of the course focuses on skills in cloud and virtualized environments. Students will be able to understand and describe the concept of Software-Defined Networking (SDN) and learn to assess and compare the pros and cons of different service models (SaaS, PaaS, IaaS) with respect to specific application requirements. They will also acquire security skills, such as designing security zones, and implementing technical solutions such as firewalling, thereby better securing the network.
After completing the course, students will be able to apply the key principles in practice, configure and implement advanced network technologies for logical separation of customers in the data center, including VRF Lite, Private VLAN and MPLS/VPN, analyze, identify, and solve problems associated with the operation and interconnection of multiple data centers (multi-site DC), using modern technologies such as EVPN and VxLAN, which in contrast overcome the limitations of traditional protocols, such as Spanning Tree. The deployment and management of key monitoring and diagnostic tools such as NetFlow, SNMP, and NetConf, which are essential for maintaining network stability and performance, will also be reviewed.
The final part of the course focuses on skills in cloud and virtualized environments. Students will be able to understand and describe the concept of Software-Defined Networking (SDN) and learn to assess and compare the pros and cons of different service models (SaaS, PaaS, IaaS) with respect to specific application requirements. They will also acquire security skills, such as designing security zones, and implementing technical solutions such as firewalling, thereby better securing the network.
Literature
Advised literature
1. KRATTIGER, Lukas; KAPADIA, Shyam a JANSEN, David. Building Data Centers with VXLAN BGP EVPN: A Cisco NX-OS Perspective. Cisco Press, 2017. ISBN 9780134514925 , 477 pages.
2. RAJ, Pethuru a RAMAN, Anupama. Software-Defined Cloud Centers: Operational and Management Technologies and Tools. Springer, 2019. ISBN 978-3-030-08752-4 , 242 pages.
3. JORGE MARX GÓMEZ; MORA, Manuel; MAHESH S. RAISINGHANI; NEBEL, Wolfgang
a RORY V. O'CONNOR. Engineering and Management of Data Centers: An IT Service Management Approach. Springer, 2018. ISBN 978-3-319-87946-8 , 290 pages.
4. BARROSO, Luiz Andre; PARTHASARATHY, Ranganathan a HOLZLE, Urs. The datacenter as a computer: designing warehouse-scale machines. Third edition. Cham, Switzerland: Springer, 2022. ISBN 978-3-031-01761-2 , 189 pages.
5. Yeluri R., Castro-Leon E.: Building the Infrastructure for Cloud Security: A Solutions View. Apress, 2013, ISBN 978-1-4302-6145-2 , 270 pages.
6. Pepelnjak, I., Guichard, J.: MPLS and VPN Architectures, Cisco Press, 2012, ISBN 1-58714-323-2 , 420 pages.
7. Gustavo A. A. Santana: Data Center Virtualization Fundamentals: Understanding Techniques and Designs for Highly Efficient Data Centers with Cisco Nexus, UCS, MDS, and Beyond, Cisco Press, 2013, ISBN 978-1587143243 , 960 pages.
8. Uptime Institute: Tier Standard: Operational Sustainability, 2013.
2. RAJ, Pethuru a RAMAN, Anupama. Software-Defined Cloud Centers: Operational and Management Technologies and Tools. Springer, 2019. ISBN 978-3-030-08752-4 , 242 pages.
3. JORGE MARX GÓMEZ; MORA, Manuel; MAHESH S. RAISINGHANI; NEBEL, Wolfgang
a RORY V. O'CONNOR. Engineering and Management of Data Centers: An IT Service Management Approach. Springer, 2018. ISBN 978-3-319-87946-8 , 290 pages.
4. BARROSO, Luiz Andre; PARTHASARATHY, Ranganathan a HOLZLE, Urs. The datacenter as a computer: designing warehouse-scale machines. Third edition. Cham, Switzerland: Springer, 2022. ISBN 978-3-031-01761-2 , 189 pages.
5. Yeluri R., Castro-Leon E.: Building the Infrastructure for Cloud Security: A Solutions View. Apress, 2013, ISBN 978-1-4302-6145-2 , 270 pages.
6. Pepelnjak, I., Guichard, J.: MPLS and VPN Architectures, Cisco Press, 2012, ISBN 1-58714-323-2 , 420 pages.
7. Gustavo A. A. Santana: Data Center Virtualization Fundamentals: Understanding Techniques and Designs for Highly Efficient Data Centers with Cisco Nexus, UCS, MDS, and Beyond, Cisco Press, 2013, ISBN 978-1587143243 , 960 pages.
8. Uptime Institute: Tier Standard: Operational Sustainability, 2013.