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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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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

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

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...