Dapper, a Large-Scale Distributed Systems Tracing Infrastructure

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Women's Health

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Living Fully with Ulcerative Colitis feat. Sunny Anderson 28:16

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Cooking show host Sunny Anderson was only nineteen when she was diagnosed with ulcerative colitis, a form of Inflammatory Bowel Disease. But as Sunny puts it, "it sure as heck didn't pick the weak one!" Alongside board certified gastroenterologist Dr. Aja McCutchen, our guests discuss how this disease specifically affects women and Sunny shares her experience of living loud and proud with UC. If you've been recently diagnosed, this candid and informative discussion is an excellent starting place as you begin to navigate a life with UC. Resources : ThisIsLivingWithUC.com Note : This podcast is provided for educational purposes only and is not meant to replace discussions with a healthcare provider. Please speak with your healthcare provider regarding any health questions. The opinions expressed in this podcast are the opinions of the individuals recorded and are not necessarily opinions endorsed by Pfizer. Guests in this podcast were compensated for their time. This podcast is only intended for residents of the United States. _______________ Women's Health is your destination for compelling, stand-out series that touch on all aspects of women's health. While each series may focus on a different topic, they're united in their commitment to candid conversations that destigmatize women's health issues and highlight real life people. Learn more about each series featured below: menopause: unmuted is honest, hopeful, life-affirming, and features real women talking candidly about their menopause, and its impact on relationships, friends, family, and work. Each episode shares deeply personal accounts of the different emotional and physical symptoms experienced. Our host, leading women’s health expert Dr. Mary Jane Minkin, provides an expert perspective, busting myths and offering evidence-based information. These podcasts are not designed to provide medical advice or promote or recommend any treatment option. This podcast feed is powered by Pfizer. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.…

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This paper from Google describes the design and implementation of Dapper, Google’s system for tracing requests in distributed systems. The authors explain why they chose a distributed tracing system, the design decisions they made for Dapper, and how the Dapper infrastructure has been used in practice. They also discuss the impact of Dapper on application performance and their strategies for mitigating the overhead. The paper emphasizes the importance of application-level transparency for distributed tracing systems.

https://static.googleusercontent.com/media/research.google.com/en//archive/papers/dapper-2010-1.pdf

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Dapper, a Large-Scale Distributed Systems Tracing Infrastructure

The Binary Breakdown

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https://static.googleusercontent.com/media/research.google.com/en//archive/papers/dapper-2010-1.pdf

44 פרקים

#Podcasting Education #Binary Breakdown

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לפני 47 weeks14:15

14:15

MapReduce is a programming model that simplifies the process of processing large datasets on clusters of commodity machines. It allows users to define two functions: Map and Reduce , which are then automatically parallelized and executed across the cluster. The Map function processes key/value pairs from the input data and generates intermediate key/value pairs. The Reduce function merges all intermediate values associated with the same key to produce the final output. This paper, written by researchers at Google, describes the implementation of MapReduce on their large-scale computing infrastructure, highlighting its features, performance, fault tolerance, and real-world applications. The authors also discuss the benefits of using MapReduce, such as its simplicity, scalability, and flexibility, and compare it to other related systems. https://storage.googleapis.com/gweb-research2023-media/pubtools/4449.pdf…

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The Google File System 32:26

לפני 47 weeks32:26

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

לפני 47 weeks18:46

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

לפני 47 weeks13:29

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

לפני 47 weeks20:26

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

לפני 47 weeks9:52

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

לפני 47 weeks16:22

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

לפני 47 weeks21:18

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

לפני 47 weeks50:03

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

לפני 47 weeks17:43

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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Dapper, a Large-Scale Distributed Systems Tracing Infrastructure