Category: DNS and Big Data

Complex Event Processing, or CEP, is an advanced computational paradigm that enables the detection of meaningful patterns and correlations within high-volume event streams in real time. In the realm of cybersecurity, where signal-to-noise ratios are often poor and timely detection is critical, CEP offers a compelling solution for identifying nuanced threats that emerge not from…

Predicting DNS query response time is a task of considerable operational importance in large-scale networks, cloud-based resolver infrastructures, and content delivery systems. Accurate estimates of DNS response latency can support a wide range of optimization and decision-making scenarios, such as dynamic resolver selection, edge server routing, SLA monitoring, and anomaly detection. However, DNS response time…

Managed DNS providers operate at the intersection of performance-critical infrastructure and global-scale service delivery, responsible for resolving domain names across millions of zones with ultra-low latency, high availability, and stringent SLAs. To meet the expectations of their customers—which range from enterprises and CDNs to registrars and cloud-native startups—these providers must maintain deep, continuous visibility into…

As the scale and complexity of DNS telemetry continues to grow, traditional data architectures are increasingly strained under the weight of petabyte-scale logs, diverse analytical use cases, and the need for real-time operational insights. DNS data is uniquely voluminous and versatile: it is produced at high velocity from recursive resolvers, authoritative servers, edge clients, and…

Machine learning workflows applied to DNS telemetry can uncover critical patterns that help detect threats, forecast load, classify domain intent, and enhance resolver performance. These pipelines are inherently complex, involving the collection and preprocessing of high-velocity data, feature extraction, model training, validation, deployment, and continual monitoring. In the context of big data, DNS machine learning…

DNS analytics plays a foundational role in understanding internet behavior, detecting threats, and optimizing network performance. By analyzing query patterns, domain relationships, resolver behavior, and user access trends, operators can derive powerful insights that drive operational improvements and defensive strategies. However, DNS data is also inherently sensitive. It reveals detailed traces of user intent, device…

In large-scale DNS analytics environments, maintaining a coherent and adaptable log schema is a constant challenge. DNS telemetry, by nature, is both high in volume and structurally complex. Logs typically originate from diverse sources—recursive resolvers, authoritative servers, passive capture points, and forwarders—each with its own interpretation of the DNS protocol and enrichment pipeline. As organizations…

In the evolving landscape of cyber threats, the integration of diverse telemetry sources has become essential for achieving high-fidelity detection and attribution. Two of the most powerful yet complementary datasets available for network-centric threat intelligence are passive DNS (pDNS) and Border Gateway Protocol (BGP) telemetry. Passive DNS captures DNS resolution activity across broad populations of…

In today’s data-driven landscape, organizations across sectors must comply with stringent regulatory frameworks that govern how user data is accessed, processed, and retained. DNS telemetry, while often overlooked, can reveal highly sensitive information about user behavior, device activity, and enterprise workflows. From a compliance perspective, DNS logs fall under scrutiny due to their ability to…

Global DNS analytics has traditionally been centralized in monolithic architectures, where data from diverse sources is collected, transformed, and analyzed in a single data warehouse or data lake. This approach worked reasonably well when DNS telemetry was confined to a few resolvers or authoritative systems and when analytics requirements were relatively straightforward, such as measuring…