
Explore the evolution of telecom network functions to cloud-native, discussing challenges, architecture, and performance testing in Kubernetes environments.

Explore strategies to defend against Application-Level DoS attacks using a new open-source Node.js framework. Learn to identify threats, analyze traffic patterns, and implement active defense measures.

Explore FD.io's role in building secure Terabit NaaS cloud networking, focusing on VPP and CSIT projects for high-performance, scalable, and robust cloud VPNs with encrypted overlays.

Comparison of Linux block filesystems for embedded systems, covering design principles, features, performance metrics, and compression options on ARM boards with SD card storage.

Explore security design anti-patterns, their impact on SDLC, and strategies to identify and mitigate them early. Learn to create awareness and limit security debt in software development.

Insights from a survey of 26 innovative AppSec champions programs, covering best practices in recruitment, training, communication, and ROI measurement to enhance software security.

Comprehensive review of Radxa X2L, an x86 single board computer with RP2040 microcontroller. Covers unboxing, specs, performance tests, and unique features like onboard Raspberry Pi Pico functionality.

Optimize real-time audio processing libraries with practical strategies, measurement techniques, and performance-enhancing tricks. Gain tools for confident code optimization across platforms.

Explore MFEM's enhanced capabilities through libCEED integration, including support for simplices, mixed meshes, and p-adaptivity. Discover performance gains across various HPC architectures.

Explore robustness in computer vision across data abundance scenarios, addressing benchmarking challenges and efficient learning for diverse object categories using federated dataset design.

Benchmark comparison of Pandas alternatives: Dask, Modin, Ray, and Vaex. Evaluates speed performance on large datasets, offering insights for data scientists seeking faster Python data processing options.

Learn to visualize Gatling performance test results on Grafana dashboards. Covers Grafana setup, Gatling plugin installation, data source configuration, and dashboard creation for effective result analysis.

Explore Koalas: pandas-like APIs for big data on Apache Spark. Compare performance with Dask, learn about recent updates, and understand its scalability for data science tasks.

Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.

Explore efficient machine learning pipelines using Apache Arrow Flight in Spark, enabling faster data transport and simplified microservices for improved ML model production.

Discover best practices, benchmarks, and examples for effective ad creative in user acquisition, enhancing your marketing strategy and performance.

Explore GPU acceleration in Apache Spark 3.x, covering task scheduling, columnar processing, and the RAPIDS plugin for enhanced ETL, ML, and DL performance without code changes.

Explore the performance of popular AutoML frameworks across 10 Kaggle competitions, analyzing their accuracy and effectiveness in tackling real-world machine learning challenges.

Learn strategies for developing and maintaining high-performance AI models, including testing methods, drift detection, and systematic debugging. Gain insights on model monitoring and iteration for optimal performance.

Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore negation's impact on neural information retrieval models, analyzing performance across architectures and proposing strategies to improve handling of negated queries.