CCDE Enterprise Case Study Part 14 – SD-WAN Internet Circuit Capacity Planning
As Jacobs continues evaluating SD-WAN migration strategies, one of the most important architectural considerations is whether the existing Internet infrastructure can realistically support migration of WAN traffic from MPLS toward Internet-based SD-WAN overlays.
This question is fundamentally about:
- Bandwidth engineering
- Capacity planning
- Traffic forecasting
- Scalability analysis
- Internet edge architecture
๐ฏ Correct Answer
The correct answer is:
c. Upgrade Internet access circuits to 10Gbps in the DCs.
The current 1Gbps Internet circuits at Jacobs and Toolmate are already approaching saturation.
Migrating additional SD-WAN traffic from MPLS onto Internet transport would overload the existing circuits.
Table of Contents
- 1. Understanding the Question
- 2. Why Option C Is Correct
- 3. WAN Capacity Planning Fundamentals
- 4. ISP Utilization Graph Analysis
- 5. MPLS to Internet Traffic Migration
- 6. WAN Engineering Mathematics
- 7. SD-WAN Internet Architecture
- 8. Why the Other Answers Are Wrong
- 9. CLI and Monitoring Examples
- 10. Machine Learning and Traffic Forecasting
- 11. Related Articles
1. Understanding the Question
The key architectural problem is:
$$ Can\\ Existing\\ Internet\\ Circuits\\ Support\\ SD\\text{-}WAN\\ Migration? $$Jacobs currently uses:
- MPLS for primary WAN transport
- Internet mainly for Internet-bound traffic
- Centralized Internet breakout
If SD-WAN is introduced:
- Branch-to-DC traffic may traverse Internet overlays
- Cloud traffic may increase dramatically
- Hybrid WAN transport becomes active
- Encrypted tunnel overhead increases utilization
This fundamentally changes WAN traffic behavior.
2. Why Option C Is Correct
Current Internet Links Are Already Highly Utilized
The supplied utilization graphs show:
- Jacobs ISP CE1 nearing 1Gbps capacity
- Toolmate ISP utilization also nearing saturation
This means:
$$ Existing\\ Capacity \approx Existing\\ Demand $$Adding SD-WAN transport traffic would cause:
- Congestion
- Packet loss
- High latency
- Jitter
- Application degradation
Bandwidth Utilization Formula
$$ Utilization = \frac{Traffic}{Available\\ Bandwidth} \times 100 $$If:
$$ Traffic > Available\\ Bandwidth $$then:
$$ Congestion = True $$Why 10Gbps Makes Sense
Jacobs currently has:
- Hundreds of branches
- VoIP traffic
- Cloud applications
- Jaystore ERP traffic
- Future SaaS expansion
A move toward SD-WAN dramatically increases Internet dependency.
Therefore:
$$ Internet = Primary\\ Enterprise\\ Transport $$not simply:
$$ Internet = Guest\\ Access $$3. WAN Capacity Planning Fundamentals
Capacity planning is one of the most important enterprise design disciplines.
Enterprise WAN Capacity Variables
| Variable | Impact |
|---|---|
| Users | Traffic growth |
| Applications | Bandwidth demand |
| Cloud adoption | Internet dependency |
| Video/VoIP | Real-time sensitivity |
| Encryption overhead | Tunnel expansion |
Forecasting Formula
$$ Future\\ Capacity = Current\\ Demand \times Growth\\ Factor $$For example:
$$ 1Gbps \times 4 = 4Gbps $$If SD-WAN quadruples Internet transport usage, the existing links fail immediately.
4. ISP Utilization Graph Analysis
Jacobs ISP CE1 Analysis
- Peak utilization approaches 0.9Gbps
- Average utilization remains high
- Traffic volatility exists
This indicates:
$$ Limited\\ Remaining\\ Headroom $$Toolmate ISP Analysis
- Inbound traffic increasing steadily
- Peak inbound nearing line capacity
- Outbound traffic highly variable
This strongly suggests:
$$ Cloud\\ and\\ SaaS\\ Growth $$is already occurring.
๐ก Key Design Insight
Enterprise architects must always design for:
$$ Peak\\ Demand $$not:
$$ Average\\ Demand $$5. MPLS to Internet Traffic Migration
Traditional MPLS WANs typically isolate:
- Private WAN traffic
- Internet traffic
SD-WAN merges these into:
$$ Hybrid\\ WAN\\ Transport $$Before SD-WAN
| Traffic Type | Transport |
|---|---|
| Internal WAN traffic | MPLS |
| Internet traffic | Centralized breakout |
After SD-WAN
| Traffic Type | Transport |
|---|---|
| Internal WAN traffic | Internet + MPLS |
| SaaS traffic | Direct Internet |
| Cloud applications | Hybrid transport |
This dramatically changes:
$$ Internet\\ Bandwidth\\ Consumption $$6. WAN Engineering Mathematics
Oversubscription Ratio
$$ Oversubscription = \frac{Potential\\ Demand}{Available\\ Bandwidth} $$Tunnel Overhead Formula
$$ Effective\\ Payload = Bandwidth - Encryption\\ Overhead $$Latency Growth Under Congestion
$$ Latency \propto Queue\\ Depth $$Packet Loss Probability
$$ Loss \propto Buffer\\ Exhaustion $$VoIP MOS Relationship
$$ MOS \downarrow \quad when \quad Latency + Jitter + Loss \uparrow $$7. SD-WAN Internet Architecture
Modern SD-WAN solutions commonly use:
- MPLS
- Broadband Internet
- 5G/LTE
simultaneously.
Traffic engineering becomes:
$$ Application\\ Aware $$Typical SD-WAN Overlay
Branch Edge | Internet/MPLS | Encrypted Tunnel | DC SD-WAN Edge
Critical Enterprise Reality
When Internet becomes:
$$ Mission\\ Critical $$Internet circuits must be engineered like:
$$ Carrier\\ Grade\\ Infrastructure $$8. Why the Other Answers Are Wrong
Option A – Firewall Upgrade
This is suboptimal because:
- No evidence firewall throughput is exhausted
- SD-WAN edges usually terminate tunnels
- Firewalls may simply pass encrypted traffic
Option B – Allow SD-WAN Flows
This is merely:
$$ Implementation $$not:
$$ Architecture $$Firewall rule creation does not solve:
$$ Bandwidth\\ Saturation $$Option D – Routing Protocol Selection
OMP selection is implementation detail.
The major issue is:
$$ Physical\\ Capacity $$not:
$$ Routing\\ Mechanics $$9. CLI and Monitoring Examples
Example – Interface Utilization Monitoring
show interface GigabitEthernet0/0 5 minute input rate 850000000 bits/sec 5 minute output rate 790000000 bits/sec
Example – SD-WAN Tunnel Statistics
show sdwan tunnel statistics
Example – QoS Policy
policy-map WAN-QOS class VOICE priority percent 30 class BUSINESS-CRITICAL bandwidth percent 40
Why QoS Still Matters in SD-WAN
SD-WAN improves path selection but does not eliminate congestion.
QoS still remains critical during:
- Circuit oversubscription
- WAN brownouts
- Application bursts
- Cloud synchronization spikes
10. Machine Learning and Traffic Forecasting
Modern enterprises increasingly use:
- AI-driven telemetry
- Traffic prediction
- Anomaly detection
- Forecast modeling
to proactively scale WAN infrastructure.
Useful Machine Learning Concepts
- Time Series Forecasting Beginners Guide
- Stationary vs Nonstationary Data
- How to Evaluate and Ensure Your Data
These concepts directly apply to:
$$ Network\\ Traffic\\ Forecasting $$11. Related Articles
CCDE Enterprise Case Study Series
- Part 1 – Enterprise Architecture
- Part 2 – Business Challenges
- Part 3 – Scalability Analysis
- Part 4 – MPLS Design
- Part 5 – MPLS Traffic Engineering
- Part 6 – DMVPN Architecture
- Part 7 – Enterprise WAN Evolution
- Part 8 – SD-WAN Design
- Part 9 – SD-WAN Security
- Part 10 – WAN Optimization
- Part 11 – Self-Managed SD-WAN
- Part 12 – SD-WAN Planes Explained
- Part 13 – WAN Path Engineering
- CCDE SD-WAN Design Part 15: 5G, DIA, Firewall Placement, and Branch Security Architecture
CCIE and Enterprise WAN Articles
- Understanding BGP Path Selection
- Enterprise QoS Design Best Practices
- Complete MPLS QoS Configuration Lab
- Enterprise Redundancy and High Availability Design
Final Conclusion
The most critical issue Jacobs must address before migrating toward Internet-based SD-WAN transport is:
$$ Internet\\ Circuit\\ Capacity $$The current ISP utilization graphs clearly demonstrate:
- Minimal remaining bandwidth headroom
- Growing traffic demand
- Potential congestion risk
Without upgrading the Internet circuits:
$$ SD\\text{-}WAN\\ Migration \rightarrow Performance\\ Failure $$Enterprise architects must always remember:
$$ Architecture\\ Success = Scalable\\ Physical\\ Infrastructure $$
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