A colo exit starts as a necessity.
Very few enterprises decide to use traditional models like colos as a strategic initiative.
Modernization is usually reactive. It starts when the business demands outcomes the current architecture cannot deliver fast enough, consistently enough, or at a cost the organization can defend.
Across industries, the same forcing functions keep showing up. Each one exposes a structural limit of models like a traditional colo-anchored, hub-and-spoke network. Together, they make network modernization inevitable.
The core idea
Network modernization is not a tooling upgrade. It is an opportunity for an operating model change. If the architecture depends on centralized hubs and device-by-device operations, scale eventually breaks operationally, financially, or both.
Use case 1: Multi-cloud AI pipelines overwhelm hub-and-spoke designs
AI systems are distributed by nature. Training, inference, preprocessing, and storage frequently span AWS, Azure, and Google Cloud. The network must support continuous data movement across clouds.
Colo-era hub-and-spoke designs struggle because they:
- Force traffic to hairpin through centralized hubs
- Add latency to intercloud paths that should be direct
- Increase cost exposure as data volumes and cloud egress grow
- Multiply routing and segmentation work across environments
AI pipelines expose a simple reality: hub-and-spoke was built for north-south access, not heavy intercloud, inter-region traffic.
A cloud-delivered network fabric reduces dependency on hubs by making intercloud connectivity policy-driven and consistent. For many teams, this is the moment they realize the constraint is architectural, not operational effort.
Use case 2: Global expansion and M&A move faster than infrastructure
Expansion and acquisitions run on business timelines. New regions, new subsidiaries, and new cloud footprints are often expected in weeks, not quarters.
Colocation-centric models introduce friction through:
- Contracting and facility lead times
- Physical provisioning and redesign cycles
- Region-by-region security alignment
- Manual integration work during acquisitions
The business moves. The network lags.
Modern operating models invert this. New regions become a service activation and a policy extension, not a construction project. Acquired environments can be connected and segmented without re-building the backbone first.
This becomes highly visible to executives when time-to-integrate affects revenue, risk, or customer experience.
Use case 3: Security consistency collapses at scale
As enterprises distribute workloads across clouds, data centers, partners, and edges, security teams face an impossible task: enforce consistent policy across inconsistent infrastructure.
Legacy approaches depend on:
- Choke points and perimeter assumptions
- Device-centric rules that drift over time
- Manual synchronization across domains
- Environment-specific constructs that do not translate cleanly
This breaks under scale, especially for AI workloads handling sensitive data. Segmentation gaps emerge. Policy drift becomes inevitable. Compliance risk increases.
Fabric-native security shifts the model. Segmentation and access control are applied consistently as part of the fabric, regardless of where workloads live. For many organizations, this becomes the most defensible business reason to modernize.
Use case 4: Partner and extranet connectivity becomes operationally unsustainable
Modern businesses operate as ecosystems. Partners, vendors, and third parties need controlled access to applications, APIs, and data. This is increasingly true for AI-driven collaboration and shared data pipelines.
Traditional models (e.g., colo-based) for extranets are fragile because they often involve:
- Overlapping IP space
- Manual firewall changes and ticket queues
- Long onboarding cycles
- Weak isolation that is hard to audit
As partner counts grow, the operating cost and risk compound.
Extranet-as-a-Service models built on cloud-delivered fabrics enable segmented, policy-based partner access without repeatedly redesigning the core network. When partner onboarding moves from months to days, the old model becomes difficult to justify.
Use case 5: AI initiatives expose every weakness at once
AI programs combine the stressors above into one accelerating demand signal:
- Multi-cloud by default
- Large-scale east-west data movement
- Elastic scaling and rapid iteration
- Higher sensitivity around data access and segmentation
This amplifies latency, cost volatility, policy sprawl, and operational friction at the same time. Networks that were once “good enough” become blockers.
AI initiatives tend to compress timelines. They surface architectural limits early and move modernization from “planned” to “near-term.”
The pattern leaders should recognize
These use cases share one trait: they introduce change faster than legacy networks can absorb.
Modernizing from a traditional model like a colo-based architecture does not start because teams want something new. It starts because the business can no longer tolerate the constraints of the old architecture.
Modern networks are adopted because they reduce operational drag, make security more consistent, and let the organization move at business speed.
The leadership takeaway
If your most strategic initiatives feel harder than they should, the network is often the hidden constraint.
A useful executive question is:
Which business priorities are being slowed by architecture, not by strategy or funding?
In most enterprises, the answer points directly to network modernization.
Where Alkira fits: Alkira’s Network Infrastructure-as-a-Service model is built for these forcing functions: multi-cloud connectivity, consistent segmentation and governance, rapid regional activation, and controlled partner access.
The key shift is the operating model. Teams consume a cloud-delivered network fabric with centralized policy rather than building and operating colo-era hubs and stitching environments together case by case.
Read Part 8: “The New Network Operating Model: Measuring Network Modernization”
FAQs
Further reading
“A New Operating Model” Blog Series
- Part 1: The New Network Operating Model: Modernizing Beyond Colocation Hubs
- Part 2: The New Network Operating Model: Network Infrastructure-as-a-Service
- Part 3: The New Network Operating Model: Security From Day 0
- Part 4: The New Network Operating Model: Operational Simplicity Is the Scaling Constraint
- Part 5: The New Network Operating Model: Economic Alignment for AI-Era Networking
- Part 6: The New Network Operating Model: The Modernization Strategy That Reduces Risk
- Part 7: The New Network Operating Model: Network Modernization Use Cases
- Part 8: The New Network Operating Model: Measuring Network Modernization
- Part 9: The New Network Operating Model: The Objections That Stall Modernization
- Part 10: The New Network Operating Model: The Path Forward
Technical “Building A New Operating Model” Blog SeriesTechnical Blog Part 1: “Building A New Operating Model: The Architectural Evolution of an Enterprise RAG System”
Calvin Nguyen
