Google: The Chubby lock service for loosely-coupled distributed systems

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America’s Sweethearts: Dallas Cowboys Cheerleaders is back for its second season! Kay Adams welcomes the women who assemble the squad, Kelli Finglass and Judy Trammell, to the Netflix Sports Club Podcast. They discuss the emotional rollercoaster of putting together the Dallas Cowboys Cheerleaders. Judy and Kelli open up about what it means to embrace flaws in the pursuit of perfection, how they identify that winning combo of stamina and wow factor, and what it’s like to see Thunderstruck go viral. Plus, the duo shares their hopes for the future of DCC beyond the field. Netflix Sports Club Podcast Correspondent Dani Klupenger also stops by to discuss the NBA Finals, basketball’s biggest moments with Michael Jordan and LeBron, and Kevin Durant’s international dominance. Dani and Kay detail the rise of Coco Gauff’s greatness and the most exciting storylines heading into Wimbledon. We want to hear from you! Leave us a voice message at www.speakpipe.com/NetflixSportsClub Find more from the Netflix Sports Club Podcast @NetflixSports on YouTube, TikTok, Instagram, Facebook, and X. You can catch Kay Adams @heykayadams and Dani Klupenger @daniklup on IG and X. Be sure to follow Kelli Finglass and Judy Trammel @kellifinglass and @dcc_judy on IG. Hosted by Kay Adams, the Netflix Sports Club Podcast is an all-access deep dive into the Netflix Sports universe! Each episode, Adams will speak with athletes, coaches, and a rotating cycle of familiar sports correspondents to talk about a recently released Netflix Sports series. The podcast will feature hot takes, deep analysis, games, and intimate conversations. Be sure to watch, listen, and subscribe to the Netflix Sports Club Podcast on YouTube, Spotify, Tudum, or wherever you get your podcasts. New episodes on Fridays every other week.…

حدود یک سال پیش 51:11

M4A•خانه قسمت

This document describes the development and implementation of Google's Chubby lock service, a highly available and reliable system that provides coarse-grained locking and storage for distributed systems. The authors discuss the design choices behind Chubby, including its emphasis on availability over performance, and the use of a file system-like interface for ease of use. The paper details Chubby's architecture, including its components, consensus protocol, and caching mechanisms. It also explores unexpected uses of Chubby, such as its popular role as a name service, and discusses the lessons learned during its development and deployment, such as the importance of considering developer habits and the need to scale the system effectively.

https://static.googleusercontent.com/media/research.google.com/en//archive/chubby-osdi06.pdf

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Google: The Chubby lock service for loosely-coupled distributed systems

The Binary Breakdown

published حدود یک سال پیش

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M4A•خانه قسمت

https://static.googleusercontent.com/media/research.google.com/en//archive/chubby-osdi06.pdf

43 قسمت

#Podcasting Education #Binary Breakdown

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38 weeks پیش32:26

32:26

The source is a technical paper that describes the Google File System (GFS), a scalable distributed file system designed to meet Google's data processing needs. The paper discusses the design principles behind GFS, including its focus on handling component failures, managing large files, and optimizing for append-only operations. It also details the system architecture, consisting of a single master node and multiple chunkservers, as well as the implementation of various features, such as atomic record appends and snapshots. Finally, the authors present micro-benchmark results and real-world measurements from GFS clusters used at Google to illustrate the system's performance and scalability. https://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf…

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TAO: Facebook’s Distributed Data Store for the Social Graph 18:46

38 weeks پیش18:46

18:46

Facebook developed a distributed data store called TAO to efficiently serve the social graph data. TAO prioritizes read optimization, availability, and scalability over strict consistency, handling billions of reads and millions of writes per second. TAO utilizes a simplified data model based on objects and associations, offering a specialized API designed for common social graph queries. The architecture involves a multi-layered caching system, with followers caching data and leaders communicating with the persistent storage layer in MySQL. TAO leverages a master/slave configuration to manage geographic distribution, ensuring data consistency across multiple regions while mitigating inter-region latency. The paper details the design, implementation, consistency model, performance characteristics, and a comparison with existing related work. https://www.usenix.org/system/files/conference/atc13/atc13-bronson.pdf…

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Scaling Memcache at Facebook 13:29

38 weeks پیش13:29

13:29

This document details how Facebook engineers scaled Memcached, a popular open-source in-memory caching solution, to accommodate the demands of the world's largest social network. The paper outlines the development of Facebook's Memcached architecture, starting with a single cluster of servers and progressing through geographically distributed clusters. It highlights key optimizations and mechanisms implemented at various scales, including reducing latency, handling failures, and maintaining data consistency across multiple regions. The document also provides insights into the characteristics of Facebook's Memcached workload, including fan-out, response size, and latency. https://research.facebook.com/publications/scaling-memcache-at-facebook/…

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Monarch: Google’s Planet-Scale In-Memory Time Series Database 20:26

38 weeks پیش20:26

20:26

This technical paper details the architecture and design of Monarch , a planet-scale in-memory time series database developed at Google. Monarch is used to monitor the performance and availability of massive, globally distributed systems like YouTube, Google Maps, and Gmail. The paper discusses the system's novel features, including its regionalized architecture , expressive query language , and support for sophisticated data types , such as distributions and exemplars. It also presents a comprehensive evaluation of Monarch's scalability , highlighting its ability to handle trillions of time series, ingest terabytes of data per second, and serve millions of queries per second. Finally, the paper outlines key lessons learned from the development and operation of Monarch over a decade. https://www.vldb.org/pvldb/vol13/p3181-adams.pdf…

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Gorilla: A Fast, Scalable, In-Memory Time Series Database 9:52

38 weeks پیش9:52

9:52

The provided text describes the architecture and functionality of Gorilla , Facebook's in-memory time series database. Gorilla was developed to address the challenges of monitoring and analyzing massive amounts of time series data generated by Facebook's vast infrastructure. The system prioritizes high availability for writes and reads, even in the face of failures, by using compression techniques, a unique data structure, and replication across geographically distributed datacenters. Gorilla achieves high performance through compression and in-memory data structures, enabling the development of new tools for time series correlation, visualization, and aggregation. The paper highlights the importance of prioritizing recent data over historical data in this context, and the trade-offs made to achieve high availability. https://www.vldb.org/pvldb/vol8/p1816-teller.pdf…

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Building a three-tier architecture on a budget 16:22

38 weeks پیش16:22

16:22

This document, an AWS blog post, guides users through the process of building a cost-effective, three-tier architecture using serverless technologies within the AWS Free Tier. It begins by explaining the benefits and capabilities of AWS serverless services and then provides a detailed walkthrough of how to construct each tier (presentation, business logic, and data) utilizing various free AWS services, including S3, CloudFront, Cognito, API Gateway, Lambda, and DynamoDB. The article concludes with tips on monitoring Free Tier usage to avoid unexpected charges and emphasizes the advantages of serverless architectures, particularly cost savings, scalability, and flexibility. https://aws.amazon.com/blogs/architecture/building-a-three-tier-architecture-on-a-budget/…

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Saas Lens: Deploy multi-tenant SaaS workloads using AWS services 21:18

38 weeks پیش21:18

21:18

This whitepaper outlines the AWS Well-Architected Framework specifically for Software as a Service (SaaS) applications. It examines how to design and deploy multi-tenant SaaS workloads using AWS services, detailing best practices in operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. The whitepaper explores various architecture models like serverless SaaS, Amazon EKS SaaS, and hybrid deployments, focusing on the importance of tenant isolation and the complexities of managing and scaling a multi-tenant environment. https://docs.aws.amazon.com/pdfs/wellarchitected/latest/saas-lens/wellarchitected-saas-lens.pdf…

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Streaming Media Lens 50:03

38 weeks پیش50:03

50:03

This document is a white paper about the AWS Well-Architected Framework, particularly focusing on its application to streaming media workloads. It defines key components within a streaming media architecture, including ingest, processing, origin, delivery, and the client. The paper then outlines best practices for designing and implementing streaming media workloads according to the six pillars of the AWS Well-Architected Framework: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. Finally, the document discusses specific scenarios, such as video-on-demand streaming, live streaming, and ad-supported content monetization, providing insights into the unique considerations for each scenario. https://docs.aws.amazon.com/pdfs/wellarchitected/latest/streaming-media-lens/wellarchitected-streaming-media-lens.pdf#streaming-media-lens…

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Dynamo: Amazon’s Highly Available Key-value Store 17:43

38 weeks پیش17:43

17:43

This technical paper details the design and implementation of Dynamo, a highly available and scalable key-value storage system developed by Amazon.com. The paper outlines the challenges of maintaining reliability at a massive scale in an e-commerce environment and explains how Dynamo addresses these challenges by sacrificing consistency in favor of availability under certain failure scenarios. The authors explore the system architecture, including partitioning, replication, versioning, membership, and failure handling, and provide insights gained from running Dynamo in a live production environment. They also compare different partitioning strategies and highlight the tradeoffs between performance and durability. https://assets.amazon.science/ac/1d/eb50c4064c538c8ac440ce6a1d91/dynamo-amazons-highly-available-key-value-store.pdf…

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Google: The Chubby lock service for loosely-coupled distributed systems