Category: DNS and Big Data

As organizations increasingly migrate their infrastructure and analytics platforms to the cloud, the management and governance of sensitive data, including DNS telemetry, demand stricter compliance with international security standards. DNS logs, while often considered operational metadata, can reveal detailed insights into internal infrastructure, user behavior, and application usage. When these logs are stored at scale…

As the cryptographic landscape prepares for the inevitable advancements of quantum computing, the security protocols that underpin the internet’s trust model face unprecedented challenges. Among these, DNSSEC—the extension to the Domain Name System that provides origin authentication and data integrity—stands as both a critical line of defense and a potential point of cryptographic vulnerability. DNSSEC…

As DNS data continues to grow in scale, velocity, and strategic value, organizations face increasingly complex challenges in moving this data efficiently between systems for real-time analytics, machine learning, and security monitoring. DNS telemetry—comprising query logs, response metadata, resolution timing, and anomaly signals—often reaches terabytes per day in high-volume environments like ISPs, large enterprises, cloud…

In an era where DNS has become one of the most crucial telemetry sources for security, performance monitoring, and digital experience optimization, organizations are increasingly investing in sophisticated DNS analytics platforms. These systems, designed to ingest, process, and analyze petabytes of DNS data in near real time, are often distributed across multiple cloud environments. Whether…

In large-scale DNS analytics environments, measuring cardinality—such as the number of unique domains queried, distinct client IPs, or observed second-level domains per time interval—is essential for security detection, capacity planning, anomaly monitoring, and traffic characterization. However, the sheer scale and velocity of DNS traffic in modern networks, particularly those operated by ISPs, cloud platforms, CDNs,…

In the pursuit of comprehensive DNS observability at scale, one of the most pressing challenges is achieving high-fidelity capture of DNS events with minimal performance overhead and maximum contextual richness. DNS traffic, while lightweight in protocol design, is high in frequency and critical in visibility. Every internet-facing service and internal application relies on DNS, making…

Content Delivery Networks, or CDNs, have become fundamental to how the modern internet delivers content with low latency and high availability. These distributed networks of edge servers handle the bulk of media, web traffic, software updates, and API responses for platforms ranging from video streaming services to cloud applications. While CDNs are designed for performance…

As DNS becomes an increasingly valuable source of telemetry for security operations, performance analytics, and infrastructure intelligence, the challenge of managing its ingestion, transformation, and enrichment at scale grows exponentially. Organizations operating large networks—whether enterprises, ISPs, or cloud providers—often collect billions of DNS records daily from resolvers, edge nodes, and passive sensors. These raw logs,…

As the Domain Name System remains a foundational layer of internet infrastructure, it continues to be a frequent and high-value target for Distributed Denial of Service (DDoS) attacks. From volumetric floods intended to exhaust bandwidth, to more subtle but equally destructive NXDOMAIN attacks and reflection-based amplification campaigns, DNS-targeted DDoS events can cripple services, disrupt application…

As cyber threats continue to evolve in sophistication, detecting malicious domains through DNS telemetry has become an indispensable strategy in the security analytics arsenal. Traditional techniques, such as static blocklists, handcrafted rules, and signature-based detection, struggle to scale against novel, polymorphic, or dynamically generated threats. Modern adversaries leverage techniques like domain generation algorithms (DGAs), fast-flux…