Category: DNS and Big Data

In the landscape of large-scale DNS data collection and analytics, observability has become as critical as scalability and performance. DNS data pipelines process enormous volumes of high-velocity events, often exceeding millions of records per second in enterprise and ISP environments. These pipelines are composed of multiple stages, including log collection, parsing, enrichment, transport, storage, and…

As DNS data becomes increasingly central to security research, traffic analysis, content delivery optimization, and public policy evaluation, the demand for shared datasets that span multiple networks, regions, and user populations has grown substantially. Yet DNS telemetry is inherently sensitive. It reveals behavioral patterns, access habits, and infrastructure relationships that, if exposed improperly, could compromise…

As DNS logs grow in size and complexity, processing them efficiently at scale becomes critical for everything from real-time threat detection and operational monitoring to behavioral analytics and infrastructure planning. Apache Spark has long been the engine of choice for scalable big-data processing due to its distributed memory capabilities and flexible execution model. Meanwhile, Kubernetes…

In today’s hyperconnected infrastructure, DNS is not just a critical service but a foundational layer underpinning nearly all internet activity. From cloud platforms to content delivery networks, financial services to IoT ecosystems, the reliability of DNS resolution directly affects the availability and performance of digital experiences. Yet DNS is also highly distributed, deeply recursive, and…

The explosive growth of IoT devices across industries has introduced new challenges in managing, securing, and analyzing the data they generate. Among the various types of telemetry produced by IoT systems, DNS event streams stand out as a critical signal for monitoring device behavior, detecting anomalies, and identifying malicious activity. DNS queries are often the…

As DNS becomes an increasingly dynamic and programmable component of modern infrastructure, tracking and understanding changes to DNS records in real time has grown in importance. Whether managing internal DNS zones for service discovery, coordinating dynamic updates for cloud-hosted applications, or monitoring public-facing records for configuration drift and hijacks, organizations need reliable, auditable ways to…

The growing interest in applying machine learning to DNS data for security, operational intelligence, and anomaly detection has created a pressing need for high-quality, accessible datasets that can support experimentation, model training, and benchmarking. DNS logs contain rich, temporal, and behavioral signals that are valuable for identifying malicious domains, modeling query patterns, detecting tunneling attempts,…

As digital infrastructure becomes increasingly dynamic, elastic scaling of critical network services is no longer a luxury—it is a necessity. DNS resolvers, the silent workhorses that enable nearly every internet interaction, must now keep pace with unpredictable surges in traffic, diverse client behaviors, and evolving application demands. Whether operating as part of a cloud provider’s…

As global organizations increasingly rely on DNS data for network visibility, security analytics, and digital experience optimization, the question of data residency has emerged as one of the most complex and high-stakes issues in multinational big-data projects. DNS logs—despite being considered metadata—often contain user and infrastructure information that can be tied to individuals, locations, and…

DNS sinkholes have long been a critical tool in the cybersecurity arsenal, redirecting potentially malicious or unwanted DNS queries to a controlled endpoint rather than allowing them to resolve to their actual destinations. This strategy disrupts communication with malicious infrastructure, enables behavioral monitoring, and helps security teams identify compromised systems. However, assessing the true effectiveness…