
Explore the parallels between wireless telegraphy and Apache Pulsar, uncovering design principles for distributed, low-latency messaging systems. Gain insights into Pulsar's architecture, features, and future potential.

Fault-tolerant far memory system using erasure-coding and remote memory compaction for efficient datacenter applications, offering improved latency and performance over existing solutions.

Resilient remote memory system with low latency, high availability, and efficient erasure coding. Improves performance-efficiency tradeoff and reduces data loss probability under correlated failures.

Comprehensive study on accelerating erasure coding for data storage, exploring optimization techniques, bitmatrix design, and vectorization to improve computation efficiency and performance in various scenarios.

Explores user perceptions of smart home device data practices, revealing uncertainties about data handling and how experiences shape security concerns and behaviors in connected homes.

Explores CRaft, an erasure-coding-supported version of Raft consensus protocol, reducing storage and network costs while maintaining fault tolerance and liveness. Presents design, challenges, and performance improvements.

Explores challenges and advancements in long-term digital data preservation, discussing media technologies, data integrity, and semantic interpretation for future generations.

Explore how Honeycomb.io optimized cost and performance by migrating to arm64 architecture, reducing compute costs by 40% while improving latency, despite challenges in software compatibility and ecosystem complexity.

Explore Twilio's journey towards automated security operations, featuring insights on scalable 24/7 monitoring and a serverless automation framework for effective threat response.

Explore Asami, an open-source graph database with flexible data structures, functional operations, and easy JSON-to-graph conversion. Learn its architecture and novel graph analysis capabilities.

Explore attack vectors in Big Data stack layers: ingestion, storage, processing, and access. Learn methodologies to identify vulnerabilities in complex infrastructures handling massive data volumes.

Explore the process of converting Cortex data to Prometheus TSDB format using scalable tooling. Learn about TSDB internals, block generation, and potential pitfalls in this insightful presentation.

Unified framework for deploying erasure coding solutions in distributed storage systems, simplifying integration and optimizing repair performance.

Innovative serverless-based object caching system offering cost savings, high data availability, and competitive performance for storage-intensive web applications.

Explore CQRS and Event Sourcing patterns for efficient data management through practical examples and implementation strategies in this informative talk by Oliver Sturm.

Explore real-time data pipelines for managing massive analytics streams from millions of devices, covering collection, routing, storage, and analysis techniques at high data rates.

Explore the journey of building a low-latency, scalable analytics database, focusing on design decisions and tradeoffs that led to Apache Pinot's development for ultra-fast, user-facing analytics at scale.

Explore building a federated Meetup recommendation system using Micronaut, integrating various databases and APIs for event-sourced data processing and reactive services.

Learn to build scalable IoT and mobile applications using cloud services. Explore design patterns, configuration, and SDKs for creating powerful, connected solutions with AWS components and serverless architectures.

Explore Terracotta's open-source offheap library, providing efficient maps and caches with low heap overhead and high scalability. Learn its implementation using CS concepts from managed and unmanaged environments.

Explore modern high-scale storage systems, comparing interfaces and features. Learn key factors for decision-making, evolutionary trends, and emerging technologies in data storage solutions.