Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook
Detailed analysis of RocksDB workloads at Facebook, revealing key-value usage patterns and proposing improved benchmarking methods for more accurate representation of real-world scenarios.
Platforms in Everything - Analyzing Ground-Truth Data on the Anatomy and Economics of Bullet-Proof Hosting
Empirical study on Bullet-Proof Hosting provider Maxided, analyzing business model, supply chain, customers, and finances. Reveals shifts in BPH landscape and potential intervention points for disrupting cybercrime-supporting services.
Your Coflow has Many Flows - Sampling them for Fun and Speed
Innovative coflow scheduling technique using flow sampling to estimate coflow size, improving performance and scalability for data-intensive applications in distributed computing environments.
Operating Elasticsearch with Ease at Scale
Discover strategies for operating Elasticsearch at scale, covering common issues, optimization techniques, and best practices for handling massive deployments with billions of ingests and millions of searches daily.
A Differentially Private Data Analytics API at Scale
LinkedIn's privacy system uses differential privacy to protect member data while providing audience engagement insights, enabling marketing analytics with user-level privacy guarantees and strict budget management.
Offload Annotations - Bringing Heterogeneous Computing to Existing Libraries and Workloads
Explore offload annotations for efficient GPU computing in existing libraries, enabling seamless integration and performance gains without extensive code modifications.
Scalable AutoML for Time Series Forecasting Using Ray
Explore scalable AutoML for time series forecasting using Ray, covering feature generation, model selection, and distributed hyper-parameter tuning with real-world applications and insights.
Managing ML Models at Scale - Intuit’s ML Platform
Explore Intuit's ML Platform for scalable, secure model lifecycle management using GitOps, SageMaker, Kubernetes, and Argo Workflows. Learn about feature management, cost optimization, and enterprise-level ML model deployment.
Identifying Hidden Dependencies
Discover how Honeycomb improved system reliability through intentional node termination, uncovering bugs and progressing towards continuous experimentation for enhanced resilience and scalability.
The Smallest Possible SRE Team
Strategies for maximizing SRE impact with limited resources. Learn to leverage data, tools, and communication for effective small-scale SRE implementation and organizational influence.
Latency Distributions and Micro-Benchmarking to Identify and Characterize Kernel Hotspots
Explore kernel hotspots using latency distributions and micro-benchmarking. Learn techniques to identify and address OS scale limits for improved system performance on bare metal hardware.
Jupyter as Incident Response Tool
Explore using Jupyter for incident response in SRE, showcasing its dynamic exploration and result-sharing capabilities through a simulated cache slowdown scenario and post-incident best practices.
Inside the Ransomware Negotiation Economics
Explore the economics and negotiation strategies of ransomware attacks, focusing on digital extortion tactics, decision-making processes, and effective countermeasures for organizations.
Owfuzz - WiFi Nightmare
Explore WiFi security vulnerabilities and attack surfaces using Owfuzz, a fuzzing tool for detecting protocol flaws in WiFi implementations, including WIFI6 and WPA3.
Cloudy with a Chance of APT - Novel Microsoft 365 Attacks in the Wild
Explore novel APT techniques targeting Microsoft 365, including persistent access methods and data extraction. Learn technical details, potential extensions, and prepare for emerging threats.
Can You Roll Your Own SIEM
Explore building a custom cloud-native SIEM solution, discussing considerations, requirements, and benefits compared to vendor options. Learn about cost savings and improved capabilities.
The Hunt for Major League IoT-ICS Threats - A Deep Dive into IoT Threat Terrain
Explore IoT security threats, automated threat hunting techniques, and advanced analysis methods to protect against malicious actions targeting millions of connected devices.
Big Data - Power, Potential, and Perils
Explore the power, potential, and perils of Big Data in this panel discussion. Experts examine its impact on society, scientific inquiry, and human decision-making, addressing benefits and ethical concerns.
Afterglow - Dispatches from the Birth of the Universe
Explore the cosmic background radiation's role in understanding the universe's birth and evolution, featuring insights from leading scientists on groundbreaking cosmological discoveries and future research directions.
Predicting the World with Math
Explore how mathematical algorithms and big data are revolutionizing predictions in various fields, from medicine to social behavior, with insights from leading scientists on the future of data-driven decision-making.
Applying Machine Learning to User Behavior Anomaly Analysis
Explore advanced machine learning techniques for user behavior anomaly detection in cybersecurity, covering feature selection, data quality, behavioral whitelisting, and neural network predictions.