Percentile-Based Latency Monitoring: Why Averages Lie in Performance Analysis
In the operation of modern platforms, high-traffic APIs, or industrial IoT gateways, monitoring …

Among system administrators and platform engineers, there’s a well-known running gag: When an IT system goes down globally, the web app is unreachable, or internal APIs fail, the first diagnosis is almost always: “It’s always DNS”. What is humorously portrayed in memes has a serious background in the enterprise environment. The Domain Name System is the invisible nervous system of the internet. If it fails, even the best-replicated application servers in the background are of no use.
Traditionally, DNS is often viewed as an isolated tool in many IT architectures. It’s booked as a standard feature with the domain registrar or quickly clicked together in the dashboard of a major cloud provider. In a modern, highly available IT landscape, this siloed view falls short. True business resilience only emerges when DNS is understood not as a standalone tool but as an integral part of a comprehensive Edge Infrastructure.
A typical digital process in a company, whether it’s accessing a customer portal, transmitting data from an IoT sensor in production, or an API call from a mobile app, goes through a chain of infrastructure components.
In many established structures, this chain looks like this:
[Nutzer/Client] –> (1. Isolated DNS Provider) –> (2. Separate Load Balancer) –> (3. Application Cluster)
If component 1 (the DNS) in this chain fails or responds sluggishly, the entire connection is blocked. Even if the downstream load balancers and applications are 100% operational, the client simply cannot find them.
This isolationist architecture results in three structural weaknesses in everyday business:
When an application server or an entire data center fails, traffic must be redirected immediately. If DNS operates in isolation, it often learns about the failure far too late. It continues to deliver the IP address of the dead server. Until DNS records are updated worldwide and the caches of internet providers are cleared (keyword: TTL delay), hours can pass in the worst case. An automatic, split-second failover is thus impossible.
External endpoint monitoring may detect that a service is no longer reachable. However, since it lacks a direct interface with the routing system, the insight remains without consequence. It raises an alarm but cannot autonomously redirect traffic. Fixing the error remains a manual, ticket-based, and therefore slow process.
The edge – the outermost part of your network where user requests arrive – is the primary target for cyberattacks (such as DDoS attacks). If the DNS infrastructure is not precisely aligned with the capacities of the downstream load balancers, a targeted attack on the nameservers can digitally paralyze the entire company.
To guarantee maximum uptime and minimal latencies, the three core components of the edge – Anycast DNS, Load Balancing, and Endpoint Monitoring – must be operated as a unit on the same technological infrastructure. They must interlock like gears.
[ Comprehensive Edge Platform ]
+——————————+——————————+ | | | v v v [ Anycast DNS ] <======> [ Edge Load Balancer ] <======> [ Endpoint Monitoring ]
With Anycast routing, a DNS query is not sent to a single, central server but to the geographically nearest Point of Presence (PoP) in the global network. If a single location fails due to a regional network disruption, the routing protocol (BGP) immediately intercepts the failure. Traffic is redirected to the nearest PoP without a millisecond delay. The system heals itself at the network level.
When DNS and load balancer run on the same edge infrastructure, the complex DNS propagation in failure scenarios is eliminated. The load balancer knows the exact state of the application clusters. If the status of a backend changes, the DNS system is immediately informed and dynamically adjusts the records – without global caching times (TTL) blocking the failover.
The integrated monitoring continuously measures latencies, availabilities, and error rates directly at the edge. If an endpoint falls below the defined SLAs, not only is an alarm triggered, but the edge platform adjusts the routing in real-time. Traffic is rerouted around the faulty node before the end user sees an error message.
The days when DNS was a passive, text-based phonebook function on the internet are over. In a world where availability is measured in fractions of a second and digital supply chains (under guidelines like NIS-2 or DORA) must be absolutely fail-safe, the edge is the most important line of defense for your IT. Those who orchestrate DNS, load balancing, and monitoring from a single source as a holistic platform end the “It’s always DNS” dilemma and create an unshakable foundation for the secure operation of business-critical applications.
A massive one. Since the Anycast infrastructure always accepts and processes requests at the geographically nearest Point of Presence, the so-called Time to First Byte (TTFB) is dramatically reduced. DNS resolves the request extremely quickly, and the directly coupled load balancer routes the traffic via optimized paths. For the end user, the application feels significantly more responsive.
Yes. Modern, container-based edge platforms are designed to be used both as a cloud service within the European legal framework and fully dedicated in your own private data center. This is especially the only way for companies in highly regulated environments or with air-gapped infrastructures to combine modern edge features with 100% physical data control.
The difference lies in control and legal compliance. While large US providers often use proprietary, closed systems and are subject to the US CLOUD Act, a sovereign European edge platform is based on open standards (such as BGP and Linux-native containers) and operates entirely within the European legal framework. Additionally, the deep integration with local Kubernetes clusters offers developers the ability to control the edge directly via Infrastructure as Code (e.g., Terraform).
In the operation of modern platforms, high-traffic APIs, or industrial IoT gateways, monitoring …
In modern Cloud-Native design, the principle of functional division of labor applies. As we saw in …
In the architecture of modern, highly available IT infrastructures, load balancing is at the …