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What's Slowing Down Your Cloud? (Hint: It's Not the App)

Eli Lahr
Leaseweb USA

Most teams go straight to the usual suspects when performance tanks in the cloud: app bugs, code regressions, maybe even the cloud provider itself. However, the real bottleneck is hiding in plain sight more often than not: the network.

Of course, apps are only as fast and secure as the connections between them in today's hybrid and multi-cloud environments. In other words, don't just audit your app if you're dealing with lag, downtime, or data sync issues. It's time to look under the hood at the infrastructure that's supposed to be holding it all together.

Cloud's Silent Performance Killer

Modern apps run across public cloud, private data centers, edge nodes, and even bare metal. They don't live in a single place anymore. That level of distribution demands a strong, purpose-built network strategy. Every transaction, real-time response, and secure data transfer will get bogged down without it.

Here's what happens when the network doesn't keep up:

  • Latency creeps in - which frustrates users and breaks real-time workflows
  • Data bottlenecks emerge - delaying analytics and AI pipelines
  • Security gaps appear - especially when traffic flows aren't encrypted or monitored

And yet, most cloud strategies barely mention the network until something goes wrong.

Why the Network Matters More Than You Think

The benefits are immediate and undeniable when your network is built to support the complexity of hybrid and multi-cloud:

  • Redundant paths, failover routes, and resilient infrastructure ensure business continuity and faster disaster recovery (DR) = Greater Reliability
  • Low-latency connectivity powers time-sensitive workloads, i.e., video streaming, gaming, and AI inferencing = Improved Performance
  • A modern network design can flex as you scale, whether that's across regions or providers = Increased Scalability
  • Advanced encryption, traffic segmentation, and monitoring protect data in motion, not just at rest = Enhanced Security

Real-World Impact, From AI to Gaming

Let's get a bit more specific.

One global enterprise running AI workloads needed to connect on-prem GPU clusters to cloud analytics tools without crushing performance. The solution? High-speed, direct network links that cut training times and eliminated sync delays.

A gaming company faced a different problem: players abandoning matches due to latency. Shifting to a bare metal setup with smart routing and dedicated bandwidth changed the game - literally.

These companies didn't rewrite code. They rethought their network.

The Next Wave Is Already Here

With today's AI-driven services and real-time data expectations, networks have to evolve fast. Traditional setups can't keep up. What's needed now are intelligent, adaptive, secure networks that align with how apps and users actually operate today.

Cloud isn't slowing down. But without the right network infrastructure, your ability to deliver on its promise will. If your cloud feels slow, glitchy, or unreliable, don't blame the app, or the platform. Blame the pipes. The truth is that your network could be the biggest factor holding you back.

So, before your next deployment or expansion, take a hard look at the infrastructure below the surface. Because the real difference between "it works" and "it scales beautifully" often comes down to how well your network is doing its job.

Eli Lahr is a Senior Solutions Engineer at Leaseweb USA

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What's Slowing Down Your Cloud? (Hint: It's Not the App)

Eli Lahr
Leaseweb USA

Most teams go straight to the usual suspects when performance tanks in the cloud: app bugs, code regressions, maybe even the cloud provider itself. However, the real bottleneck is hiding in plain sight more often than not: the network.

Of course, apps are only as fast and secure as the connections between them in today's hybrid and multi-cloud environments. In other words, don't just audit your app if you're dealing with lag, downtime, or data sync issues. It's time to look under the hood at the infrastructure that's supposed to be holding it all together.

Cloud's Silent Performance Killer

Modern apps run across public cloud, private data centers, edge nodes, and even bare metal. They don't live in a single place anymore. That level of distribution demands a strong, purpose-built network strategy. Every transaction, real-time response, and secure data transfer will get bogged down without it.

Here's what happens when the network doesn't keep up:

  • Latency creeps in - which frustrates users and breaks real-time workflows
  • Data bottlenecks emerge - delaying analytics and AI pipelines
  • Security gaps appear - especially when traffic flows aren't encrypted or monitored

And yet, most cloud strategies barely mention the network until something goes wrong.

Why the Network Matters More Than You Think

The benefits are immediate and undeniable when your network is built to support the complexity of hybrid and multi-cloud:

  • Redundant paths, failover routes, and resilient infrastructure ensure business continuity and faster disaster recovery (DR) = Greater Reliability
  • Low-latency connectivity powers time-sensitive workloads, i.e., video streaming, gaming, and AI inferencing = Improved Performance
  • A modern network design can flex as you scale, whether that's across regions or providers = Increased Scalability
  • Advanced encryption, traffic segmentation, and monitoring protect data in motion, not just at rest = Enhanced Security

Real-World Impact, From AI to Gaming

Let's get a bit more specific.

One global enterprise running AI workloads needed to connect on-prem GPU clusters to cloud analytics tools without crushing performance. The solution? High-speed, direct network links that cut training times and eliminated sync delays.

A gaming company faced a different problem: players abandoning matches due to latency. Shifting to a bare metal setup with smart routing and dedicated bandwidth changed the game - literally.

These companies didn't rewrite code. They rethought their network.

The Next Wave Is Already Here

With today's AI-driven services and real-time data expectations, networks have to evolve fast. Traditional setups can't keep up. What's needed now are intelligent, adaptive, secure networks that align with how apps and users actually operate today.

Cloud isn't slowing down. But without the right network infrastructure, your ability to deliver on its promise will. If your cloud feels slow, glitchy, or unreliable, don't blame the app, or the platform. Blame the pipes. The truth is that your network could be the biggest factor holding you back.

So, before your next deployment or expansion, take a hard look at the infrastructure below the surface. Because the real difference between "it works" and "it scales beautifully" often comes down to how well your network is doing its job.

Eli Lahr is a Senior Solutions Engineer at Leaseweb USA

Hot Topics

The Latest

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 ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...