The quick download
Slow performance costs you the same customers that downtime does, so treat it as a reliability priority.
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53% of IT professionals say slow is the new down, and poor performance now hits revenue as hard as an outage.
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Green internal dashboards can hide a five-second checkout, because DNS, CDN, BGP, and last-mile issues live outside your firewall.
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Experience-level objectives, full Internet-path visibility, and AI-driven analysis let teams catch slowdowns before users do.
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Measure performance where your customers experience it, then close the gap between your dashboards and their reality.
For digital businesses, slow performance creates the same customer outcome as downtime: abandoned journeys, lost revenue, and eroded trust. Users don’t distinguish between “unavailable” and “unusable.” A checkout that stalls for five seconds, a dashboard that lags on load, a workflow that freezes mid-task: each one breaks the promise your brand made when a customer clicked. And as digital ecosystems grow more complex (more third-party dependencies, more Internet paths, more edge infrastructure), the surface area for performance failures expands with them.
According to The SRE Report 2025, 53% of IT professionals now say that slow is the new down, and 44% believe performance should be tracked against a service-level objective. That shift reflects what revenue data already confirms: poor application performance is as damaging as downtime, and IT teams need to treat it that way.
What This Means for IT Teams
The SRE Report frames this in the context of web performance and the need to deliver fast, personalized, and seamless digital experiences. The report states that “poor performance is as bad as complete downtime or unavailability,” and recommends that IT teams measure performance against experience-based objectives (for example, ensuring 95% of users can complete checkout in under five seconds).
This raises a practical question: what can organizations do to act on this shift? Before diving into a framework, it helps to understand just how deeply performance expectations are wired into everyday behavior.
The Performance Litmus Test
Consider a few scenarios that reveal how low your own tolerance for “slow” has become.
1. The Drive-Through Test
Next time you’re at a drive-through and the attendant asks, “May I take your order?”, pause before responding. Count slowly: one Mississippi, two Mississippi. You’ll likely hear the question repeated before you reach three or four. And if you’ve already switched to ordering through an app instead of waiting in line, slow has already become the new down for you.
2. The Hourglass Test

Next time you place an online order and see a loading spinner or a “please do not refresh this page” message, notice how long you wait before you start moving your cursor, checking your phone, or opening another tab. It’s probably only a few seconds.
3. The How-To Video Test
Next time you start watching a tutorial, pay attention to how quickly you think, “Just show me how to do it.” Chances are, you’ll start looking for a shorter video within the first minute.
Those reactions are personal, but they map directly to how your customers behave. Every hesitation, every switch to a competitor’s tab, every abandoned cart is the same instinct playing out at scale. When performance degrades, users don’t file tickets. They leave.
Five Actions to Treat Performance as a Reliability Priority
The litmus tests above are lighthearted, but the business impact of slow performance is serious. Faster websites and apps translate directly to revenue. There is extensive data showing the positive financial impact of fast digital experiences and the cost of slow ones: higher conversion rates, lower support volume, stronger SLA compliance, and greater executive confidence in digital investments.
Here are five actions IT teams can take to address the “slow is the new down” reality.
1. Align IT and Business Perspectives on Reliability

The SRE Report highlights a significant gap in how different managerial levels perceive reliability practices. If IT and business teams can’t agree on what’s working and what isn’t, performance initiatives stall while executives assume everything is fine and operators scramble behind the scenes.
What to measure and change: Compare “work as imagined” (what leadership assumes is happening) with “work as actually done” (what operations teams experience day to day). Build shared language around metrics that both sides care about. Connect IT performance improvements to business outcomes like conversion rate, customer retention, support ticket volume, and operational cost.
Shared dashboards make this concrete. When IT and business stakeholders look at the same data across infrastructure health, Internet path performance, and user experience metrics, conversations start from evidence rather than competing assumptions. LogicMonitor’s infrastructure monitoring provides that shared view, giving both teams a single source of truth for system health and performance trends.
2. Track Performance Against Experience-Level Objectives
Most IT organizations focus on internal metrics: CPU, memory, uptime, green dashboards. But healthy internal metrics don’t guarantee a good user experience. A server can show 99.9% uptime while users struggle with five-second page loads caused by third-party dependencies, DNS latency, or CDN issues outside the firewall. This gap between internal health and experienced reliability is the core challenge: your systems can be “up” by every traditional measure while your customers experience something that feels broken.

What to measure and change: Add outward-in, experience-based indicators to your measurement strategy. Go beyond checkout completion rates. Track login completion rate under load, search response time at the 95th percentile, dashboard load time for your most active user segments, API transaction latency for critical partner integrations, and time to first meaningful interaction across key geographies. Set explicit objectives for each, and use burndown charts to visualize whether you’re on track or eroding.
LogicMonitor Synthetics and Internet Performance Monitoring, extend visibility beyond your internal infrastructure to capture what users actually experience across the Internet path, including DNS resolution, CDN delivery, BGP routing, and last-mile connectivity. That’s where the gap between “systems are healthy” and “users are struggling” becomes visible and actionable.
3. Get Answers Faster with AI and Analytics
In addition to tracking experience-level objectives, use AI and analytical capabilities to look beyond simple averages. Central-tendency averages can be misleading. They don’t show the percentage of users having fast versus slow experiences, and they can hide long-tail outliers that represent significant revenue impact.
What to measure and change: Present full distributions of performance data instead of relying on means alone. Break down results by business dimensions: geography, device type, ISP, or which customer segments generate the most revenue. Apply AI to identify trend shifts and correlations that manual analysis would miss, and route those findings to the team that can act on them.
Edwin AI, LogicMonitor’s intelligence layer, continuously analyzes telemetry across infrastructure, applications, and Internet performance to surface anomalies, identify correlations, and prioritize issues by business impact. For example, Edwin AI can identify whether a regional slowdown correlates with DNS latency, CDN degradation, or backend resource saturation, helping teams skip the guesswork and resolve the root cause faster. That moves teams from reactive troubleshooting to proactive performance management.
4. Apply a Performance Mindset to Every Stack Component
Measuring application performance only from its source (for example, from the same cloud where it’s hosted) provides no insight into what impacts the user experience. The Internet path between your infrastructure and your users is a complex chain of independent systems, and a problem in any one of them can degrade performance without triggering a single internal alert.
What to measure and change: Map and monitor every component in the Internet stack that sits between your application and your users. That includes:
- DNS providers: resolution time, propagation consistency, failover behavior
- CDN layers: cache hit ratio, origin offload, edge latency by region
- BGP routing: path stability, route leaks, convergence time after changes
- Cloud edge and load balancers: connection setup time, TLS handshake duration
- Third-party APIs: response time, error rates, timeout frequency for payment processors, auth services, and analytics tags
- ISP and last-mile connectivity: packet loss, jitter, and throughput variations across major carriers and geographies
Since experience-level objectives are the goal, you need visibility into every one of these components. Measure performance where users experience it, across the full path from your applications to the end user’s device.
5. Maintain Continual Performance Improvement
Performance is not a one-time project. As customer expectations continue to rise and digital architectures grow more complex, the threshold for “acceptable” performance keeps dropping. Teams that treat performance as a periodic audit will fall behind.
What to measure and change: Build performance into your development and operations workflows as a continuous practice. A practical checklist:
- Performance budgets: Set page weight, response time, and render budgets per feature. Break the build if a release exceeds them.
- Shared dashboards: Make real-time performance data accessible to product, engineering, and business teams so optimization becomes a shared responsibility.
- Sprint retrospectives: Review experience-level metrics alongside velocity. Ask whether the last release improved or degraded what users actually feel.
- Release gates: Block deployments that regress key experience metrics beyond acceptable thresholds.
- Experience-level SLO reviews: Revisit your objectives quarterly. As baselines improve, tighten targets. As new services launch, extend coverage.
The 4C’s remain the foundation: establish a culture of communication and collaboration, catalyzed by an evergreen performance mindset. With a unified platform that connects infrastructure health, Internet performance, and AI-driven insights, teams can maintain continuous visibility and act on performance trends before they become the kind of slowdown that customers treat as downtime.
Move from Slow to Proactive
Slow is the new down because users have already decided it is. The only question is whether your team sees performance degradation before your customers do, or after they’ve already left. LogicMonitor brings together infrastructure monitoring, Internet performance monitoring, and AI orchestration in one platform, giving teams the visibility and intelligence to protect digital experience across every layer of the stack.
See performance the way your customers do, across every layer of the stack.
LogicMonitor combines infrastructure monitoring with Internet performance monitoring in one platform, so your team spots slowdowns and fixes root causes before revenue walks away.
FAQs
What does “slow is the new down” mean for IT teams?
Users react to a slow experience the same way they react to an outage: they abandon the task and leave. A checkout that stalls or a dashboard that lags breaks the same promise a full outage would. According to The SRE Report 2025, 53% of IT professionals now say slow performance is as damaging as downtime, so teams should track and manage it with the same urgency.
Why aren’t uptime and CPU metrics enough to measure digital performance?
Internal metrics like CPU, memory, and uptime describe system health inside your firewall, but they don’t capture what users experience. A server can report 99.9% uptime while customers wait through five-second page loads caused by DNS latency, CDN issues, or third-party dependencies. Adding experience-level objectives and outside-in monitoring closes the gap between “systems are healthy” and “users are struggling.”
What parts of the Internet stack should teams monitor to protect user experience?
Monitor every component that sits between your application and your users: DNS resolution, CDN delivery, BGP routing, cloud edge and load balancers, third-party APIs, and ISP and last-mile connectivity. A problem in any one of these can degrade performance without triggering an internal alert. LM Internet Performance Monitoring, powered by Catchpoint, gives teams visibility across that full path.
Denton Chikura is a technical writer and longtime observability advocate focused on helping site reliability engineers and engineering teams discover the tools and capabilities that strengthen internet resilience. He works at the intersection of monitoring, performance, and infrastructure to make complex systems more understandable and usable, bridging the gap between deep technical detail and real‑world operations. His goal is to help teams build faster, detect issues earlier, and recover smarter, ultimately making the internet a better, more reliable place for everyone.
Disclaimer: The views expressed on this blog are those of the author and do not necessarily reflect the views of LogicMonitor or its affiliates.




