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World Backup Day 2025 - Why "Redundancy" Is a Good Thing and What It Means for Your Business

Dr. Thomas King
DE-CIX

When the powers that be decided that March 31 was going to be World Backup Day in 2011, it was meant to be a joke. Why? The next day is April Fool's Day … Lose your data and the best case scenario is, well, you know the word — but at worst, it is game over. And so World Backup Day has traditionally carried a very simple yet powerful message for businesses: Backup. Your. Data.

A large part of this backing up, is "data redundancy" — the idea that storing multiple copies of data in separate locations will offer greater resilience in the event of an outage or network security breach. Yet, as workloads have moved into the cloud, and AI and SaaS applications have become dominant vehicles for productivity, the concept of "redundancy" has started to expand.

Image
World Backup Day

Contingency Cloud Connectivity

A study in 2023 found that 94% of enterprises use cloud services, which is hardly surprising, and 67% of enterprise infrastructure is now cloud-based. Given this reliance on virtualization, connectivity has become mission critical.

Businesses not only need contingency plans for their data, but contingency plans for their connectivity. And so relying on a single-lane, vendor-locked connectivity pathway is a bit like only backing your data up in one place — once that solution fails, you guessed it — it's game over.

In 2025, roughly 85% of software used by the average business is Software as a Service (SaaS)-based, with a typical organization using 112 apps in their day-to-day operations. These cloud-based applications are wholly dependent on connectivity to function, and even minor slow-downs caused by congestion or packet loss on the network can kill productivity. A study we conducted found that downtime caused by poor connectivity can add up to an average of 46 minutes a week, or simply put 35 hours per year. That productivity cost can vary between $5,600 — $9,000 per minute depending on your company size and industry, according to Atlassian. The old adage rings true for downtime — time is money.

Faster Isn't Necessarily Better

This is even more true of AI-driven workloads, where businesses depend on low-latency, high-performance connectivity to generate real-time or near real-time calculations. Over the years, we have been programmed to believe that faster connectivity = better connectivity, but the reality is far more nuanced. IT decision-makers frequently chase faster connections to improve their SaaS or AI performance, but 82% severely underestimate the impact of packet loss and the general performance of their connectivity.

This is what some refer to as the "Application Performance Trap" — expecting a single, lightning-fast connection to solve all performance issues. What's more many enterprises also use the public Internet to connect to SaaS and AI applications, but the public Internet was never designed to handle today's ultra-low-latency workloads. So what happens if that connectivity pathway becomes congested, or worse, fails entirely?

When Redundancy Is a Good Thing

This is why "redundant" connectivity is essential. The main principle of redundancy in this context is that there should always be at least two paths leading to a destination — if one fails, the other can be used. This can be achieved by using a carrier-neutral Internet Exchange or IX, which facilitates direct peer-to-peer connectivity between businesses and their cloud-based workloads, essentially bypassing the public Internet. By establishing direct connectivity for SaaS and AI applications, enterprises benefit from low and predictable latency, enhanced stability and much faster data transmission that cuts jitter.

While IXs in the US were traditionally vendor-locked to a single carrier or data center, neutral IXs allow businesses to establish multiple connections with different providers — sometimes to serve a particular use-case, but often in the interests of redundancy. Our research has shown that more than 80% of IXs in the US are now data center and carrier neutral, presenting a perfect opportunity for businesses to not only back up their data, but also back up their critical connectivity this World Backup Day — avoiding any glitches on April 1.

Dr. Thomas King is CTO at DE-CIX

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77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

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We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

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The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

World Backup Day 2025 - Why "Redundancy" Is a Good Thing and What It Means for Your Business

Dr. Thomas King
DE-CIX

When the powers that be decided that March 31 was going to be World Backup Day in 2011, it was meant to be a joke. Why? The next day is April Fool's Day … Lose your data and the best case scenario is, well, you know the word — but at worst, it is game over. And so World Backup Day has traditionally carried a very simple yet powerful message for businesses: Backup. Your. Data.

A large part of this backing up, is "data redundancy" — the idea that storing multiple copies of data in separate locations will offer greater resilience in the event of an outage or network security breach. Yet, as workloads have moved into the cloud, and AI and SaaS applications have become dominant vehicles for productivity, the concept of "redundancy" has started to expand.

Image
World Backup Day

Contingency Cloud Connectivity

A study in 2023 found that 94% of enterprises use cloud services, which is hardly surprising, and 67% of enterprise infrastructure is now cloud-based. Given this reliance on virtualization, connectivity has become mission critical.

Businesses not only need contingency plans for their data, but contingency plans for their connectivity. And so relying on a single-lane, vendor-locked connectivity pathway is a bit like only backing your data up in one place — once that solution fails, you guessed it — it's game over.

In 2025, roughly 85% of software used by the average business is Software as a Service (SaaS)-based, with a typical organization using 112 apps in their day-to-day operations. These cloud-based applications are wholly dependent on connectivity to function, and even minor slow-downs caused by congestion or packet loss on the network can kill productivity. A study we conducted found that downtime caused by poor connectivity can add up to an average of 46 minutes a week, or simply put 35 hours per year. That productivity cost can vary between $5,600 — $9,000 per minute depending on your company size and industry, according to Atlassian. The old adage rings true for downtime — time is money.

Faster Isn't Necessarily Better

This is even more true of AI-driven workloads, where businesses depend on low-latency, high-performance connectivity to generate real-time or near real-time calculations. Over the years, we have been programmed to believe that faster connectivity = better connectivity, but the reality is far more nuanced. IT decision-makers frequently chase faster connections to improve their SaaS or AI performance, but 82% severely underestimate the impact of packet loss and the general performance of their connectivity.

This is what some refer to as the "Application Performance Trap" — expecting a single, lightning-fast connection to solve all performance issues. What's more many enterprises also use the public Internet to connect to SaaS and AI applications, but the public Internet was never designed to handle today's ultra-low-latency workloads. So what happens if that connectivity pathway becomes congested, or worse, fails entirely?

When Redundancy Is a Good Thing

This is why "redundant" connectivity is essential. The main principle of redundancy in this context is that there should always be at least two paths leading to a destination — if one fails, the other can be used. This can be achieved by using a carrier-neutral Internet Exchange or IX, which facilitates direct peer-to-peer connectivity between businesses and their cloud-based workloads, essentially bypassing the public Internet. By establishing direct connectivity for SaaS and AI applications, enterprises benefit from low and predictable latency, enhanced stability and much faster data transmission that cuts jitter.

While IXs in the US were traditionally vendor-locked to a single carrier or data center, neutral IXs allow businesses to establish multiple connections with different providers — sometimes to serve a particular use-case, but often in the interests of redundancy. Our research has shown that more than 80% of IXs in the US are now data center and carrier neutral, presenting a perfect opportunity for businesses to not only back up their data, but also back up their critical connectivity this World Backup Day — avoiding any glitches on April 1.

Dr. Thomas King is CTO at DE-CIX

The Latest

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...