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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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...