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19 Ways To Rethink Network Design For Distributed Workloads

19 Ways To Rethink Network Design For Distributed Workloads

Forbes - Innovation
12 lis 2026, 18:24Tech
Oryginał
1 min read

As workloads spread across cloud, edge and on-premises environments, traditional network designs built around centralized infrastructure are no longer delivering the performance, security or flexibility businesses need.

Longstanding assumptions about predictable traffic patterns and trusted internal networks can create bottlenecks, security gaps and other challenges in today's distributed computing landscape. Technology teams must determine which established practices still make sense and which need to change.

Anchor Security To Identity

The traditional assumption that a network has one front door no longer holds as workloads run across multiple environments. Security needs to follow identity and applications rather than physical locations.

Workloads now run across cloud, edge and on-prem, so security needs to follow identity and applications, not a physical location.

Victor Cardona, SecureX

Limit Network Access

Instead of treating broad network reachability as the starting point, businesses should design connectivity around what each user, device or workload actually needs to reach. This approach would reduce exposure and operational complexity.

We should design connectivity around what each user, device or workload actually needs to reach, with those boundaries enforced by the network from day one.

Jaswanth Kongara, Nile

Expand Visibility

As application traffic moves between different environments, it crosses boundaries that traditional monitoring tools weren't designed to see. Network design must account for this movement with end-to-end visibility.

Design For Resilience

Businesses should retire the assumption that connectivity equals resilience. A network can be connected yet fragile when critical applications depend on distant services or a single point of failure. Design should focus on business-critical transactions and recoverability.

With AI inference increasingly distributed, networks must consider where decisions happen and how fast action must follow. Different applications require different approaches to latency and computation placement.

The Forbes Technology Council recommends making network policies follow moving workloads as they shift between environments, ensuring seamless connectivity, access and security regardless of location.

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