NVIDIA introduces a self-corrective AI log analysis system using multi-agent architecture and RAG technology, enhancing debugging and root cause detection for QA and DevOps teams. NVIDIA has announced ...

Automated log analysis pipeline using PySpark to simulate Azure Databricks workflows. This project parses raw Apache logs, identifies operational patterns and anomalies using SQL queries, and exports ...

Modern enterprises generate oceans of logs that span on-prem, cloud, IoT, and OT. Think identity, device, data, network, and application events. Logs are the backbone of visibility, but logs alone do ...

Abstract: Application developers frequently augment their code to produce event logs of specific operations performed by their users. Subsequent analysis of these event logs can help provide insight ...

Want to know why your high-value pages aren’t getting indexed? Or why Google keeps crawling useless parameters over and over and over…but not your blog? Your server logs hold the answers. Yes, they’re ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Cloudflare, the CDN, has announced the general availability of Log Explorer, which lets organisations get access to security insights from their IT environment, reducing risks and overall costs, the ...

Apache Kafka has established itself as a cornerstone technology for building real-time data pipelines and streaming applications. This comprehensive guide explores the fundamentals of Kafka, its ...

ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...