Cisco Certified Internetwork Expert (CCIE) - Data Center
1 Data Center Technologies
1-1 Data Center Architecture
1-1 1 Data Center Design Principles
1-1 2 Data Center Layers (Access, Aggregation, Core)
1-1 3 Data Center Infrastructure Components
1-1 4 Data Center Network Topologies
1-1 5 Data Center Network Design Models
1-1 6 Data Center Network Services
1-1 7 Data Center Network Security
1-1 8 Data Center Network Management
1-2 Data Center Switching
1-2 1 Cisco Nexus Platforms
1-2 2 Virtual Switching Systems (VSSVPC)
1-2 3 Virtual Port Channels (vPC)
1-2 4 FabricPath
1-2 5 TRILL (Transparent Interconnection of Lots of Links)
1-2 6 VXLAN (Virtual Extensible LAN)
1-2 7 EVPN (Ethernet VPN)
1-2 8 Multicast in Data Centers
1-2 9 Unicast in Data Centers
1-2 10 Broadcast, Unknown Unicast, and Multicast (BUM) Traffic Management
1-3 Data Center Storage Networking
1-3 1 Fibre Channel over Ethernet (FCoE)
1-3 2 Fibre Channel Protocol (FCP)
1-3 3 iSCSI (Internet Small Computer Systems Interface)
1-3 4 NFS (Network File System)
1-3 5 CIFSSMB (Common Internet File SystemServer Message Block)
1-3 6 Storage Area Networks (SAN)
1-3 7 Network Attached Storage (NAS)
1-3 8 Storage Virtualization
1-3 9 Storage Replication
1-3 10 Storage Security
1-4 Data Center Compute
1-4 1 Server Virtualization
1-4 2 Hypervisors (e g , VMware, Hyper-V, KVM)
1-4 3 Virtual Machine (VM) Management
1-4 4 VM Mobility (vMotion, Live Migration)
1-4 5 VM Networking (vNIC, vSwitch)
1-4 6 VM Storage (vDisk, vSAN)
1-4 7 VM Security
1-4 8 Containerization (e g , Docker, Kubernetes)
1-4 9 Container Networking (CNI, CRI, OVS)
1-4 10 Container Storage (CSI)
1-5 Data Center Automation and Orchestration
1-5 1 Network Automation Tools (e g , Ansible, Puppet, Chef)
1-5 2 Infrastructure as Code (IaC)
1-5 3 Data Center Orchestration Platforms (e g , Cisco ACI, VMware vRealize)
1-5 4 Policy-Based Management
1-5 5 Application Centric Infrastructure (ACI)
1-5 6 Software-Defined Networking (SDN)
1-5 7 Network Function Virtualization (NFV)
1-5 8 Intent-Based Networking (IBN)
1-5 9 Data Center Automation Use Cases
1-5 10 Data Center Automation Security
1-6 Data Center Security
1-6 1 Network Security Zones
1-6 2 Access Control Lists (ACLs)
1-6 3 Firewalls (e g , Cisco ASA, Firepower)
1-6 4 Intrusion Detection and Prevention Systems (IDPS)
1-6 5 Data Encryption (e g , SSLTLS, IPSec)
1-6 6 Secure Access Service Edge (SASE)
1-6 7 Zero Trust Architecture
1-6 8 Data Center Security Best Practices
1-6 9 Data Center Security Monitoring
1-6 10 Data Center Security Incident Response
1-7 Data Center Operations and Management
1-7 1 Data Center Monitoring Tools
1-7 2 Data Center Performance Metrics
1-7 3 Data Center Capacity Planning
1-7 4 Data Center Compliance and Governance
1-7 5 Data Center Disaster Recovery and Business Continuity
1-7 6 Data Center Energy Management
1-7 7 Data Center Physical Security
1-7 8 Data Center Change Management
1-7 9 Data Center Documentation and Reporting
1-7 10 Data Center Lifecycle Management
2 Data Center Infrastructure
2-1 Data Center Physical Infrastructure
2-1 1 Data Center Building Design
2-1 2 Data Center Cooling Systems
2-1 3 Data Center Power Distribution
2-1 4 Data Center Uninterruptible Power Supply (UPS)
2-1 5 Data Center Generators
2-1 6 Data Center Racks and Cabinets
2-1 7 Data Center Cabling Infrastructure
2-1 8 Data Center Physical Security
2-1 9 Data Center Environmental Controls
2-1 10 Data Center Fire Suppression Systems
2-2 Data Center Network Infrastructure
2-2 1 Network Hardware (Switches, Routers, Firewalls)
2-2 2 Network Cabling (Copper, Fiber)
2-2 3 Network Connectivity (Ethernet, Fiber Channel)
2-2 4 Network Redundancy (Redundant Power, Redundant Paths)
2-2 5 Network Scalability
2-2 6 Network Resilience
2-2 7 Network Monitoring and Management
2-2 8 Network Documentation
2-2 9 Network Testing and Validation
2-2 10 Network Troubleshooting
2-3 Data Center Storage Infrastructure
2-3 1 Storage Hardware (SAN, NAS, DAS)
2-3 2 Storage Media (HDD, SSD, NVMe)
2-3 3 Storage Connectivity (FC, iSCSI, NFS, CIFS)
2-3 4 Storage Redundancy
2-3 5 Storage Scalability
2-3 6 Storage Resilience
2-3 7 Storage Monitoring and Management
2-3 8 Storage Documentation
2-3 9 Storage Testing and Validation
2-3 10 Storage Troubleshooting
2-4 Data Center Compute Infrastructure
2-4 1 Server Hardware (CPU, RAM, Storage)
2-4 2 Server Connectivity (Ethernet, FC)
2-4 3 Server Redundancy
2-4 4 Server Scalability
2-4 5 Server Resilience
2-4 6 Server Monitoring and Management
2-4 7 Server Documentation
2-4 8 Server Testing and Validation
2-4 9 Server Troubleshooting
2-4 10 Server Virtualization Infrastructure
2-5 Data Center Facilities Management
2-5 1 Data Center Maintenance Procedures
2-5 2 Data Center Upgrades and Migrations
2-5 3 Data Center Compliance and Audits
2-5 4 Data Center Vendor Management
2-5 5 Data Center Staff Training and Development
2-5 6 Data Center Safety Procedures
2-5 7 Data Center Environmental Impact
2-5 8 Data Center Cost Management
2-5 9 Data Center Risk Management
2-5 10 Data Center Continuous Improvement
3 Data Center Services
3-1 Data Center Network Services
3-1 1 DNS (Domain Name System)
3-1 2 DHCP (Dynamic Host Configuration Protocol)
3-1 3 NTP (Network Time Protocol)
3-1 4 SNMP (Simple Network Management Protocol)
3-1 5 Syslog
3-1 6 AAA (Authentication, Authorization, Accounting)
3-1 7 VPN (Virtual Private Network)
3-1 8 Load Balancing
3-1 9 Content Delivery Networks (CDN)
3-1 10 Data Center Interconnect (DCI)
3-2 Data Center Storage Services
3-2 1 Storage Provisioning
3-2 2 Storage Replication
3-2 3 Storage Snapshots
3-2 4 Storage Backup and Recovery
3-2 5 Storage Tiering
3-2 6 Storage Encryption
3-2 7 Storage Performance Optimization
3-2 8 Storage Monitoring and Reporting
3-2 9 Storage Compliance and Governance
3-2 10 Storage Disaster Recovery
3-3 Data Center Compute Services
3-3 1 Server Provisioning
3-3 2 Server Virtualization
3-3 3 Server Clustering
3-3 4 Server Load Balancing
3-3 5 Server Monitoring and Reporting
3-3 6 Server Performance Optimization
3-3 7 Server Backup and Recovery
3-3 8 Server Compliance and Governance
3-3 9 Server Disaster Recovery
3-3 10 Server Security Services
3-4 Data Center Automation Services
3-4 1 Automation Tools and Platforms
3-4 2 Automation Use Cases
3-4 3 Automation Security
3-4 4 Automation Monitoring and Reporting
3-4 5 Automation Compliance and Governance
3-4 6 Automation Disaster Recovery
3-4 7 Automation Performance Optimization
3-4 8 Automation Documentation
3-4 9 Automation Testing and Validation
3-4 10 Automation Troubleshooting
3-5 Data Center Security Services
3-5 1 Identity and Access Management (IAM)
3-5 2 Data Encryption Services
3-5 3 Threat Detection and Response
3-5 4 Security Information and Event Management (SIEM)
3-5 5 Security Monitoring and Reporting
3-5 6 Security Compliance and Governance
3-5 7 Security Disaster Recovery
3-5 8 Security Performance Optimization
3-5 9 Security Documentation
3-5 10 Security Testing and Validation
3-6 Data Center Management Services
3-6 1 Data Center Monitoring and Reporting
3-6 2 Data Center Performance Optimization
3-6 3 Data Center Compliance and Governance
3-6 4 Data Center Disaster Recovery
3-6 5 Data Center Documentation
3-6 6 Data Center Testing and Validation
3-6 7 Data Center Troubleshooting
3-6 8 Data Center Staff Training and Development
3-6 9 Data Center Vendor Management
3-6 10 Data Center Continuous Improvement
4 Data Center Design and Implementation
4-1 Data Center Design Principles
4-1 1 Data Center Design Goals
4-1 2 Data Center Design Considerations
4-1 3 Data Center Design Models
4-1 4 Data Center Design Tools
4-1 5 Data Center Design Documentation
4-1 6 Data Center Design Validation
4-1 7 Data Center Design Compliance
4-1 8 Data Center Design Best Practices
4-1 9 Data Center Design Case Studies
4-1 10 Data Center Design Future Trends
4-2 Data Center Implementation Planning
4-2 1 Implementation Project Management
4-2 2 Implementation Scheduling
4-2 3 Implementation Resource Allocation
4-2 4 Implementation Risk Management
4-2 5 Implementation Change Management
4-2 6 Implementation Documentation
4-2 7 Implementation Testing and Validation
4-2 8 Implementation Compliance
4-2 9 Implementation Best Practices
4-2 10 Implementation Case Studies
4-3 Data Center Implementation Execution
4-3 1 Implementation Team Roles and Responsibilities
4-3 2 Implementation Tools and Technologies
4-3 3 Implementation Procedures
4-3 4 Implementation Monitoring and Reporting
4-3 5 Implementation Troubleshooting
4-3 6 Implementation Performance Optimization
4-3 7 Implementation Documentation
4-3 8 Implementation Compliance
4-3 9 Implementation Best Practices
4-3 10 Implementation Case Studies
4-4 Data Center Implementation Post-Deployment
4-4 1 Post-Deployment Monitoring and Reporting
4-4 2 Post-Deployment Performance Optimization
4-4 3 Post-Deployment Documentation
4-4 4 Post-Deployment Compliance
4-4 5 Post-Deployment Best Practices
4-4 6 Post-Deployment Case Studies
4-4 7 Post-Deployment Continuous Improvement
4-4 8 Post-Deployment Staff Training and Development
4-4 9 Post-Deployment Vendor Management
4-4 10 Post-Deployment Future Trends
5 Data Center Troubleshooting and Optimization
5-1 Data Center Troubleshooting Techniques
5-1 1 Troubleshooting Methodologies
5-1 2 Troubleshooting Tools and Technologies
5-1 3 Troubleshooting Procedures
5-1 4 Troubleshooting Documentation
5-1 5 Troubleshooting Best Practices
5-1 6 Troubleshooting Case Studies
5-1 7 Troubleshooting Compliance
5-1 8 Troubleshooting Future Trends
5-1 9 Troubleshooting Continuous Improvement
5-1 10 Troubleshooting Staff Training and Development
5-2 Data Center Optimization Techniques
5-2 1 Optimization Methodologies
5-2 2 Optimization Tools and Technologies
5-2 3 Optimization Procedures
5-2 4 Optimization Documentation
5-2 5 Optimization Best Practices
5-2 6 Optimization Case Studies
5-2 7 Optimization Compliance
5-2 8 Optimization Future Trends
5-2 9 Optimization Continuous Improvement
5-2 10 Optimization Staff Training and Development
5-3 Data Center Performance Monitoring
5-3 1 Performance Monitoring Tools and Technologies
5-3 2 Performance Monitoring Procedures
5-3 3 Performance Monitoring Documentation
5-3 4 Performance Monitoring Best Practices
5-3 5 Performance Monitoring Case Studies
5-3 6 Performance Monitoring Compliance
5-3 7 Performance Monitoring Future Trends
5-3 8 Performance Monitoring Continuous Improvement
5-3 9 Performance Monitoring Staff Training and Development
5-3 10 Performance Monitoring Vendor Management
5-4 Data Center Capacity Management
5-4 1 Capacity Management Tools and Technologies
5-4 2 Capacity Management Procedures
5-4 3 Capacity Management Documentation
5-4 4 Capacity Management Best Practices
5-4 5 Capacity Management Case Studies
5-4 6 Capacity Management Compliance
5-4 7 Capacity Management Future Trends
5-4 8 Capacity Management Continuous Improvement
5-4 9 Capacity Management Staff Training and Development
5-4 10 Capacity Management Vendor Management
5-5 Data Center Energy Management
5-5 1 Energy Management Tools and Technologies
5-5 2 Energy Management Procedures
5-5 3 Energy Management Documentation
5-5 4 Energy Management Best Practices
5-5 5 Energy Management Case Studies
5-5 6 Energy Management Compliance
5-5 7 Energy Management Future Trends
5-5 8 Energy Management Continuous Improvement
5-5 9 Energy Management Staff Training and Development
5-5 10 Energy Management Vendor Management
5-6 Data Center Disaster Recovery and Business Continuity
5-6 1 Disaster Recovery Planning
5-6 2 Business Continuity Planning
5-6 3 Disaster Recovery Tools and Technologies
5-6 4 Business Continuity Tools and Technologies
5-6 5 Disaster Recovery Procedures
5-6 6 Business Continuity Procedures
5-6 7 Disaster Recovery Documentation
5-6 8 Business Continuity Documentation
5-6 9 Disaster Recovery Best Practices
5-6 10 Business Continuity Best Practices
5-7 Data Center Compliance and Governance
5-7 1 Compliance and Governance Tools and Technologies
5-7 2 Compliance and Governance Procedures
5-7 3 Compliance and Governance Documentation
5-7 4 Compliance and Governance Best Practices
5-7 5 Compliance and Governance Case Studies
5-7 6 Compliance and Governance Future Trends
5-7 7 Compliance and Governance Continuous Improvement
5-7 8
CCIE Data Center: TRILL (Transparent Interconnection of Lots of Links)

TRILL (Transparent Interconnection of Lots of Links)

Key Concepts

TRILL Protocol Overview

TRILL (Transparent Interconnection of Lots of Links) is a network protocol designed to improve the efficiency and scalability of Ethernet networks. It addresses the limitations of traditional Spanning Tree Protocol (STP) by providing a more efficient way to manage network loops and optimize traffic flow. TRILL uses IS-IS (Intermediate System to Intermediate System) routing protocol for path determination and forwarding.

TRILL Architecture

The TRILL architecture consists of TRILL switches, also known as RBridges (Routing Bridges). These RBridges are responsible for encapsulating and decapsulating Ethernet frames, performing routing functions, and ensuring efficient traffic distribution. RBridges use IS-IS for neighbor discovery, link state advertisement, and path calculation. The architecture allows for multiple paths between endpoints, eliminating the need for STP and enabling load balancing.

TRILL Operations

TRILL operations involve several key steps: neighbor discovery, link state advertisement, path calculation, and frame forwarding. RBridges use IS-IS to discover neighboring RBridges and exchange link state information. Based on this information, RBridges calculate the best paths for traffic. When forwarding frames, RBridges encapsulate the Ethernet frames with a TRILL header, which includes the destination RBridge ID and the hop count. This encapsulation allows frames to be routed efficiently across the network.

TRILL Benefits

TRILL offers several benefits over traditional STP-based networks. It provides efficient load balancing by using multiple paths, reducing the risk of network congestion. TRILL also improves network resilience by allowing for faster convergence in the event of a failure. Additionally, TRILL supports multi-level hierarchical networks, making it scalable for large-scale deployments. The use of IS-IS for routing ensures that TRILL networks can be easily integrated with existing IP networks.

TRILL Use Cases

TRILL is particularly useful in data centers and large enterprise networks where efficient traffic management and high availability are critical. It can be used to interconnect multiple data center pods or clusters, providing a scalable and resilient network architecture. TRILL is also beneficial in virtualized environments, where it can improve the performance and reliability of virtual machine (VM) traffic. In cloud environments, TRILL can be used to optimize traffic between different virtual networks, ensuring efficient resource utilization.