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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.

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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 today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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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

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...