CCDE Enterprise WAN Redesign Case Study – MPLS, Internet, DMVPN and Cloud Migration Architecture
Modern enterprise networking is no longer just about connecting routers and switches together. Today, enterprise architects must design scalable, cloud-ready, secure, automated, and cost-efficient infrastructures capable of supporting business growth, mergers, acquisitions, cloud migrations, real-time collaboration, and modern applications.
In this complete CCDE-style case study, we analyze the Fishers Healthcare System (FHS) enterprise network redesign project. This is a large healthcare organization with multiple hospitals, data centers, cloud integrations, MPLS WANs, IPsec deployments, and legacy routing environments.
๐ฏ What You Will Learn
- Enterprise WAN redesign strategies
- MPLS vs Internet WAN architecture
- DMVPN scalability and design logic
- EIGRP routing design analysis
- Cloud migration considerations
- Data Center Interconnect design
- Voice CAC and QoS challenges
- VPN scalability comparison
- SDN and automation migration
- CCDE-level decision making methodology
- Business-driven architecture analysis
- Routing protocol selection reasoning
Table of Contents
- 1. Understanding the Business Background
- 2. Existing Network Problems
- 3. Business and Technical Requirements
- 4. Current Routing Architecture
- 5. MPLS WAN Analysis
- 6. Internet-Based WAN Analysis
- 7. Voice CAC and QoS Issues
- 8. Cloud Migration Architecture
- 9. DCI and Data Center Design
- 10. SDN Fabric Migration
- 11. Question 1 Architecture Analysis
- 12. MPLS + Internet Design Discussion
- 13. Routing Protocol Selection
- 14. EIGRP Design Advantages
- 15. VPN Technology Comparison
- 16. Best VPN Selection
- 17. Why DMVPN Wins
- 18. WAN Design Mathematics
- 19. CLI Design Examples
- 20. Automation Strategy
- 21. Key Design Takeaways
- 22. Related CCIE Articles
1. Understanding the Business Background
Fishers Healthcare System is one of the largest healthcare organizations in Indiana and among the largest healthcare companies in the United States.
After acquiring AHS, the company inherited:
- 77 hospitals
- 240 urgent care centers
- Multiple physical therapy centers
- Hospice businesses
- Complex WAN environments
- Multiple data centers
- Different operational teams
- Different WAN providers
This immediately created architectural complexity.
Enterprise Complexity Formula
$$ Complexity = Sites + Applications + WANs + Protocols + Teams $$As acquisitions increase:
$$ Complexity \propto Acquisitions $$This is one of the most important realities in enterprise architecture: business growth almost always increases technical complexity.
2. Existing Network Problems
The organization already identified several major problems:
- Expensive MPLS circuits
- Cloud migration challenges
- Voice traffic failures
- DCI congestion
- Operational complexity
- Poor scalability
- Lack of automation
- QoS inconsistencies
- Legacy applications
๐ก Important Design Observation
The organization is not simply replacing routers. This is a complete transformation project involving:
- Business transformation
- Cloud transformation
- WAN redesign
- Operational redesign
- Data center modernization
- Automation adoption
3. Business and Technical Requirements
CCDE candidates must always separate:
- Business requirements
- Technical requirements
- Operational requirements
Business Requirements
- Reduce WAN cost
- Improve scalability
- Support cloud migration
- Support acquisitions
- Reduce operational complexity
Technical Requirements
- Secure transport
- Support voice traffic
- QoS support
- Dynamic routing
- Automation capabilities
- Asymmetric traffic handling
Operational Requirements
- Easy troubleshooting
- Simple deployment
- Scalable VPN model
- Minimal manual intervention
Enterprise Design Equation
$$ Optimal\\ Design = Business\\ Goals + Technical\\ Requirements + Operational\\ Simplicity $$4. Current Routing Architecture
The current routing protocol is EIGRP.
The organization uses:
- Single EIGRP AS
- One large network statement
- BGP only at internet edge
- Redistribution between BGP and EIGRP
Why This Becomes a Problem
As enterprise networks grow:
- Large routing domains become unstable
- Convergence becomes slower
- Troubleshooting becomes difficult
- Route leaks become more dangerous
EIGRP Query Scope Formula
$$ Query\\ Scope \propto Number\\ of\\ Routers $$As the routing domain increases:
$$ Convergence\\ Time \uparrow $$5. MPLS WAN Analysis
Traditional MPLS WANs provide:
- QoS support
- Predictable latency
- Traffic engineering
- Reliable SLAs
However modern enterprises face major MPLS challenges:
- High cost
- Slow bandwidth upgrades
- Limited flexibility
- Vendor dependency
MPLS Cost Model
$$ Cost_{MPLS} = Bandwidth \times SLA \times Distance $$As bandwidth increases:
$$ Cost \uparrow\uparrow $$6. Internet-Based WAN Analysis
Internet-based WAN designs offer:
- Lower cost
- High bandwidth availability
- Faster deployment
- Transport diversity
But internet WANs require:
- Overlay VPNs
- Encryption
- Traffic engineering
- Dynamic path selection
Internet WAN Equation
$$ Flexibility \propto Number\\ of\\ Available\\ Paths $$But:
$$ Security = Encryption + Authentication $$7. Voice CAC and QoS Issues
One of the biggest issues in this environment involves voice traffic.
Calls from AHS locations fail across DCI due to CAC restrictions.
This causes:
- PSTN failover
- Unexpected carrier bills
- Poor user experience
- Suboptimal routing
Voice Quality Formula
$$ MOS \propto \frac{1}{Latency + Jitter + Packet\\ Loss} $$As DCI congestion increases:
$$ Voice\\ Quality \downarrow $$8. Cloud Migration Architecture
The company plans to migrate applications to the cloud.
However:
- Some applications are legacy
- Some applications remain on-premises
- Backend integrations are required
- Containers are being introduced
Key Cloud Migration Challenges
- Latency
- Application dependencies
- Security compliance
- Traffic engineering
- Data synchronization
Cloud Migration Dependency Formula
$$ Migration\\ Complexity = Legacy\\ Dependencies + Application\\ Coupling $$9. DCI and Data Center Design
FHS currently uses:
- Cisco Nexus 7000
- Cisco Nexus 5000
- Cisco Nexus 2000
- OTV
OTV allows:
- Layer 2 extension
- VLAN stretching
- Data center mobility
But Problems Exist
- Large failure domains
- Broadcast extension
- Complexity
- Troubleshooting challenges
Layer 2 Extension Risk
$$ Failure\\ Domain \propto VLAN\\ Stretching $$10. SDN Fabric Migration
FHS wants to adopt SDN fabrics.
This aligns with modern data center trends:
- Automation
- Policy-driven networking
- Application-centric design
- Container integration
๐ฏ Critical CCDE Observation
The company initially wants a network-centric deployment. This is important.
Architects must understand:
- Organizations rarely jump directly into fully automated SDN
- Migration phases matter
- Operational readiness matters
- Human factors matter
11. Question 1 – Best WAN Topology
The best topology should:
- Avoid DCI transit traffic
- Support direct site communication
- Enable cloud integration
- Reduce WAN cost
- Support scalable VPNs
CCDE candidates must avoid focusing only on technology.
The correct design must satisfy:
- Business requirements
- Operational requirements
- Scalability requirements
- Future migration plans
Topology Decision Formula
$$ Best\\ Design = Scalability + Simplicity + Flexibility + Cost\\ Efficiency $$12. MPLS + Internet Design Discussion
Question 2 discusses combining MPLS and Internet.
Valid Reasons
- Allows DIA
- Provides diversity
- Supports internet breakout
- Reduces MPLS dependence
This is a hybrid WAN architecture.
Hybrid WAN Formula
$$ Hybrid\\ WAN = MPLS + Internet + Intelligent\\ Routing $$13. Routing Protocol Selection
Possible protocols:
- EIGRP
- IS-IS
- OSPF
- MP-iBGP
Why EIGRP Remains Strong
- Operational familiarity
- Fast convergence
- Summarization flexibility
- Low operational disruption
Convergence Formula
$$ Convergence = Detection + Calculation + Installation $$EIGRP optimizes:
$$ Calculation\\ Time $$14. EIGRP Design Advantages
Valid Answers
- Supports summarization anywhere
- Provides fast failover
- Supports scalability
Code Example
router eigrp 100 network 10.0.0.0 eigrp stub
router eigrp 100 network 10.0.0.0 no auto-summary eigrp stub connected summary
Detailed Explanation
EIGRP stub reduces query scope.
This improves:
- Convergence
- Scalability
- CPU utilization
15. VPN Technology Comparison
| VPN Type | Scalable | Multipoint | Encryption | Routing Support |
|---|---|---|---|---|
| GRE | No | No | No | Yes |
| L2L IPsec | Low | No | Yes | Limited |
| GETVPN | Very High | Yes | Yes | Yes |
| DMVPN | High | Yes | Yes | Yes |
| S-VTI | Medium | No | Yes | Yes |
VPN Scalability Formula
$$ Tunnel\\ Count = \frac{N(N-1)}{2} $$For full mesh:
$$ Scalability\\ Problem \uparrow $$16. Best VPN Selection
DMVPN best meets the requirements.
Why?
- Dynamic tunnels
- Multipoint support
- Routing protocol support
- Scalability
- Cloud readiness
- Transport independence
DMVPN Dynamic Tunnel Formula
$$ Dynamic\\ Tunnel = NHRP + mGRE + IPsec $$17. Why DMVPN Wins
Valid Reasons
- Handles dynamic IP addressing
- Provides encryption and scale
- Supports large deployments
Code Example
interface Tunnel0 ip address 10.1.1.1 255.255.255.0 tunnel mode gre multipoint
interface Tunnel0 ip address 10.1.1.1 255.255.255.0 tunnel source GigabitEthernet0/0 tunnel mode gre multipoint ip nhrp network-id 1 ip nhrp authentication CISCO tunnel protection ipsec profile DMVPN-PROFILE
CLI Verification Output
R1#show dmvpn Legend: Attrb --> S - Static, D - Dynamic Interface: Tunnel0 Type:Hub, NHRP Peers:2 Peer NBMA Addr Peer Tunnel Add State 10.1.1.2 172.16.1.2 UP 10.1.1.3 172.16.1.3 UP
DMVPN Scale Formula
$$ Scalability_{DMVPN} \propto Dynamic\\ Tunnel\\ Creation $$18. WAN Design Mathematics
Bandwidth Utilization
$$ Utilization = \frac{Traffic}{Available\\ Bandwidth} \times 100 $$Packet Loss Impact
$$ TCP\\ Throughput \propto \frac{1}{\sqrt{Packet\\ Loss}} $$Latency Calculation
$$ Latency = Propagation + Serialization + Queuing $$QoS Queue Formula
$$ Delay \propto Queue\\ Depth $$19. CLI Design Examples
QoS Policy Example
policy-map VOICE class VOICE priority percent 30
class-map match-any VOICE match ip dscp ef policy-map WAN-QOS class VOICE priority percent 30 class class-default fair-queue
QoS Verification
show policy-map interface tunnel0
20. Automation Strategy
FHS wants heavy automation adoption.
Future Technologies
- Ansible
- Python
- REST APIs
- SDN Controllers
- Container orchestration
Automation Benefit Formula
$$ Operational\\ Cost \propto \frac{1}{Automation} $$21. Key Design Takeaways
๐ก Critical CCDE Lessons
- Business requirements always drive architecture
- Cloud migration changes WAN design
- Operational simplicity matters
- Scalability is critical
- Voice traffic requires careful QoS planning
- Hybrid WANs improve flexibility
- DMVPN provides strong scalability
- Automation is no longer optional
- Routing protocol familiarity matters operationally
- Migration planning is as important as final design
22. Related CCIE Articles
- Complete MPLS L3VPN Configuration Guide
- Complete MPLS Traffic Engineering
- Complete MPLS Core Configuration Guide
- Complete Cisco IOS XR Segment Routing
- OSPF Area Types Explained
- Reliable BGP Peering
- DMVPN Phase 3 Enhancing Scalability
- Dual Hub DMVPN Redundancy
- Understanding DMVPN Phase 2 with EIGRP
- Complete Cisco Nexus VXLAN EVPN
Final Conclusion
This enterprise healthcare redesign scenario demonstrates exactly why CCDE-level thinking is different from traditional certification approaches.
The correct architecture is not selected based only on:
- Protocol popularity
- Configuration simplicity
- Vendor recommendations
Instead, the architect must analyze:
- Business requirements
- Operational readiness
- Scalability
- Cloud transformation goals
- Voice application requirements
- Cost optimization
- Automation maturity
- Migration complexity
The final recommendation leans toward internet-based WAN transport combined with scalable VPN technologies such as DMVPN while preserving operational familiarity with EIGRP during transition phases.
This approach balances:
- Scalability
- Security
- Cost
- Cloud readiness
- Operational simplicity
This is exactly the kind of multidimensional analysis expected from modern enterprise architects and CCDE candidates.
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