LLM Inference Infrastructure
Continuous Batching vs Static Batching in LLM Serving
Continuous batching fills GPU capacity left idle by static batching's fixed groups.
Priya Nanthakumar
· 8 min read
Internet Stack Review
Stateless and Stateful Systems
Session Persistence Strategies for Stateless HTTP Services
Three session strategies trade off state location, scaling, and operational complexity.
Simone Achebe9 min read
Stateless and Stateful Systems
Stateless Application Design Patterns for Kubernetes Workloads
Design stateless Kubernetes apps by separating durable state from replaceable pods.
Tobias Wendler9 min read
Stateless and Stateful Systems
Stateless vs Stateful Microservices in Kubernetes Deployments
Deployments suit stateless services while StatefulSets preserve identity for databases.
Rafael Quinones-Park9 min read
AI in Cybersecurity Operations
AI-Generated Phishing Detection at Email Gateway Scale
Modern phishing now requires detecting sender behavior and infrastructure, not just message content.
Priya Nanthakumar8 min read
AI in Cybersecurity Operations
Data Poisoning Risks in AI Threat Feed Aggregation
Attackers can slip false threat intelligence into the feeds that power automated defenses.
Rafael Quinones-Park9 min read
AI in Cybersecurity Operations
AI-Assisted SOC Triage and Alert Fatigue
AI screening work can move from advice to execution if policies and feedback guide it.
Priya Nanthakumar9 min read
Distributed Systems Observability
Correlating Logs, Metrics, and Traces Across Multi-Region Deployments
Shared identifiers at generation time unlock multi-region incident investigation.
Simone Achebe8 min read
Distributed Systems Observability
OpenTelemetry Collector Deployment Patterns for Distributed Services
Agents and gateways divide collection labor to handle scale, security, and cost as systems grow.
Rafael Quinones-Park9 min read
AI in Cybersecurity Operations
AI Model Drift in Continuous Threat Intelligence Pipelines
Adversaries are accelerating TTP evolution faster than static threat intelligence models can track.
Simone Achebe8 min read
DDoS & WAF
Machine Learning WAF Rule Generation vs Static Rulesets
ML-based WAFs adapt to new attack variations faster than static rules can be manually updated.
Priya Nanthakumar8 min read
DDoS & WAF
Indicators of Compromise vs Behavioral Detection for Web Threat Hunting
Behavioral detection catches novel attacks; IoCs confirm known threats and scope their reach.
Simone Achebe8 min read
