Network latency has quietly shifted from an operational metric to a strategic risk. For years, IT teams measured performance almost entirely in uptime, watching for outages, tracking service level agreements, and treating five nines on a dashboard as proof the network was doing its job. That measure is no longer sufficient. A network can be fully available and still be costing the business money every day, one slow response at a time. 

That cost has a name: latency. It is the delay between a request and a response, and it rarely announces itself as a failure. Instead, it shows up as a checkout page that loads a second too slowly, a trading algorithm that reacts a few milliseconds too late, or a fraud detection system that flags a transaction after the damage is done. 

These delays are easy to overlook because nothing technically breaks. They are also easy to underestimate, because the cost accumulates across thousands of small moments rather than one visible incident, which is exactly what makes it dangerous for leaders who are only watching uptime.  

Where Latency Actually Comes From 

Latency rarely comes from a single failure point. It accumulates anywhere data travels farther or through more steps than necessary, and most networks have several of these points built in without anyone noticing. 

Public internet routing is the most common source. Traffic moving across the open internet takes an indirect path by design, hopping between networks before reaching its destination. Each hop adds delay, and each additional network in the path becomes a place where congestion or packet loss can slow things down further. The internet was built for resilience, not speed, and that tradeoff shows up as latency. 

Physical distance compounds the problem. A request traveling from a data center on one coast to a cloud region on the other carries transmission time that no amount of software optimization can fully remove. Layer in the number of applications, APIs, and third-party services most businesses now depend on, and it becomes clear why latency compounds quickly across a modern technology stack, often in ways that are difficult to trace back to a single cause.  

Why This Matters More Than It Used To 

A decade ago, a little extra latency was a tolerable inconvenience, something IT teams optimized around when time allowed. That tolerance has disappeared. Across nearly every industry, latency has become a measurable competitive disadvantage, and the businesses that treat it as a minor technical detail are absorbing costs their competitors have already engineered away. 

• Financial services. Firms build entire infrastructure strategies around shaving microseconds off trade execution, because in that industry, microsecond translate directly into dollars. 

• Retail. A slower checkout experience leads to more abandoned carts and lower conversion rates. 

• Healthcare. Fast, reliable data exchange matters for systems where delay is not just inconvenient but potentially harmful. 

• AI workloads. Training large models and running real time inference both depend on moving enormous volumes of data quickly and predictably. When the network cannot keep pace, businesses either accept degraded performance or delay the AI initiatives they were counting on to drive growth. 

None of this is hypothetical. Across these industries, the cost of latency shows up in lost revenue, lower conversion rates, and missed opportunities, and it rarely arrives with a clear root cause attached. That is what makes it dangerous. The businesses that get ahead of it are the ones actively looking for it, rather than waiting for it to show up on a balance sheet. 

Interconnections Change the Equation 

Interconnections solve the latency problem by giving data a more direct route instead of relying on the public internet to move information between applications, clouds, and partners. A few core approaches make this possible. 

• Cross connects. A direct, dedicated link inside a data center connects two networks directly, often reducing what would be a multi-hop journey to a single, predictable connection. 

• Direct cloud on-ramps. Rather than sending traffic out to the public internet to reach a cloud provider, a private connection carries that traffic straight to the cloud environment. The result is lower latency, more consistent performance, and fewer variables that can introduce delay. 

• Internet exchanges. Networks peer directly with each other, cutting out the transit providers that would otherwise sit in the middle of every exchange. 

Together, these approaches replace an unpredictable, multi-hop path with a shorter, more direct one. 

What This Looks Like in Practice 

Consider a mid-size fintech firm running algorithmic trading systems. Every millisecond of delay between its systems and the exchanges it trades on represents a measurable financial risk, one that shows up directly in execution quality rather than as an abstract performance metric. 

By colocating its infrastructure in a facility with direct, low latency connections to major exchanges, the firm removes the unpredictable variable of public internet routing entirely. Trades execute faster, risk models run closer to real time, and infrastructure costs become more predictable, since the firm is no longer paying for the inefficiencies of a longer network path or absorbing the cost of unplanned volatility in its connection quality. 

That advantage compounds when the firm’s own infrastructure sits inside the same facility as its network provider. The connection is not just faster, it is also physically protected by the same power redundancy, cooling systems, and access controls that safeguard the network equipment itself. A firm relying on a remote connection back to its infrastructure is exposed to a failure at either end. A firm colocated alongside its provider closes that gap.

The underlying principle extends well past financial services. Any organization moving data between clouds, partners, or physical locations at meaningful volume is running the same risk calculation, even if the consequences are less immediately visible than a missed trade. A retailer’s fraud check, a healthcare system’s record exchange, and a manufacturer’s supply chain data feed all depend on the same fundamentals: shorter paths, fewer hops, and fewer variables outside the organization’s control.  

The businesses that recognize this early are the ones designing their infrastructure around it, rather than discovering the cost after the fact.  

The Real Return on Interconnections 

Latency is often invisible until someone quantifies it, and by then the cost has usually already accumulated. The businesses that get ahead of the problem are the ones that treat connectivity as a strategic decision rather than an afterthought. Interconnections offer a proven way to shorten the distance between systems that need to talk to each other quickly, reliably, and without the unpredictability of the open internet. 

The hidden cost of latency is real, but it does not have to be permanent. With the right interconnection strategy in place, it becomes a cost businesses simply stop paying. 

Want to learn more about how DataBank’s interconnection ecosystem can help reduce latency across your network? Visit our Interconnections page or explore DataBank Digest for more insights on network performance and infrastructure strategy.