Chapter 1: Trade-offs in Data Systems Architecture

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Adam Prout, Szu-Po Wang, Joseph Victor and 8 others

International Conference on Management of Data 2022

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Reference 10 in Chapter 1: HTAP Databases: A Survey

Chao Zhang, Guoliang Li, Jintao Zhang and 2 others

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Reference 11 in Chapter 1: 'One Size Fits All': An Idea Whose Time Has Come and Gone

Michael Stonebraker and Uğur Çetintemel

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Reference 12 in Chapter 1: MAD Skills: New Analysis Practices for Big Data

Jeffrey Cohen, Brian Dolan, Mark Dunlap and 2 others

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Reference 13 in Chapter 1: The Relational Data Borg Is Learning

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Reference 14 in Chapter 1: Emerging Architectures for Modern Data Infrastructure: 2020

Matt Bornstein, Martin Casado and Jennifer Li

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Reference 15 in Chapter 1: Data Lakes: A Survey of Functions and Systems

Rihan Hai, Christos Koutras, Christoph Quix and Matthias Jarke

IEEE Transactions on Knowledge and Data Engineering 2023

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Reference 16 in Chapter 1: Data Lake

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Reference 17 in Chapter 1: The Sushi Principle: Raw Data Is Better

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Reference 18 in Chapter 1: The DataOps Manifesto

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Reference 19 in Chapter 1: What Is Reverse ETL: A Definition & Why It's Taking Off

Tejas Manohar

2021

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Reference 20 in Chapter 1: Why Is It So Hard to Decide to Buy?

Camille Fournier

2021

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Reference 21 in Chapter 1: Why We’re Leaving the Cloud

David Heinemeier Hansson

2022

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Reference 22 in Chapter 1: Use One Big Server

Nima Badizadegan

2022

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Reference 23 in Chapter 1: Dear Google Cloud: Your Deprecation Policy Is Killing You

Steve Yegge

2020

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Reference 24 in Chapter 1: Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

Alexandre Verbitski, Anurag Gupta, Debanjan Saha and 7 others

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Reference 25 in Chapter 1: Socrates: The New SQL Server in the Cloud

Panagiotis Antonopoulos, Alex Budovski, Cristian Diaconu and 14 others

ACM International Conference on Management of Data 2019

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Midhul Vuppalapati, Justin Miron, Rachit Agarwal and 3 others

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Reference 27 in Chapter 1: The Real Failure Rate of EBS

Nick Van Wiggeren

2025

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Reference 28 in Chapter 1: Predicting the Future of Distributed Systems

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2024

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Reference 29 in Chapter 1: Compute-Storage Separation Explained

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2023

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Reference 30 in Chapter 1: AlloyDB for PostgreSQL Under the Hood: Intelligent, Database-Aware Storage

Ravi Murthy and Gurmeet Goindi

2022

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Reference 31 in Chapter 1: The Architecture of Serverless Data Systems

Jack Vanlightly

2023

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Reference 32 in Chapter 1: Cloud Programming Simplified: A Berkeley View on Serverless Computing

Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti and 11 others

arXiv 2019

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Reference 33 in Chapter 1: Site Reliability Engineering: How Google Runs Production Systems

Betsy Beyer, Jennifer Petoff, Chris Jones and Niall Richard Murphy

2016

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Reference 34 in Chapter 1: The Time I Stole $10,000 from Bell Labs

Thomas Limoncelli

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Reference 35 in Chapter 1: The Future of Ops Jobs

Charity Majors

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Reference 36 in Chapter 1: (Over)Pay as You Go for Your Datastore

Boris Cherkasky

2021

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Reference 37 in Chapter 1: Serverless Doesn’t Mean DevOpsLess or NoOps

Shlomi Kushchi

2023

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Reference 38 in Chapter 1: Storm in the Stratosphere: How the Cloud Will Be Reshuffled

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2021

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Reference 39 in Chapter 1: The Data OS

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2021

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Reference 40 in Chapter 1: Data Residency Laws Pushing Companies Toward Residency as a Service

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2022

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Reference 41 in Chapter 1: Can Data Centers Flex Their Power Demand?

Severin Borenstein

2025

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Reference 42 in Chapter 1: Carbon Dependencies in Datacenter Design and Management

Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka and 5 others

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Reference 43 in Chapter 1: These Are the Numbers Every Computer Engineer Should Know

Kousik Nath

2019

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Reference 44 in Chapter 1: Serverless Computing: One Step Forward, Two Steps Back

Joseph M. Hellerstein, Jose Faleiro, Joseph E. Gonzalez and 4 others

arXiv 2018

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Reference 45 in Chapter 1: Scalability! But at What COST?

Frank McSherry, Michael Isard and Derek G. Murray

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Reference 46 in Chapter 1: Distributed Systems Observability: A Guide to Building Robust Systems

Cindy Sridharan

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Reference 47 in Chapter 1: Observability—A 3-Year Retrospective

Charity Majors

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Reference 48 in Chapter 1: Dapper, a Large-Scale Distributed Systems Tracing Infrastructure

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2010

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Reference 49 in Chapter 1: Data Management in Microservices: State of the Practice, Challenges, and Research Directions

Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles and 2 others

Proceedings of the VLDB Endowment 2021

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Reference 50 in Chapter 1: Big Data Is Dead

Jordan Tigani

2023

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Reference 51 in Chapter 1: Building Microservices*, 2nd edition

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2021

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Chris Richardson

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Reference 53 in Chapter 1: Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri and 7 others

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Reference 54 in Chapter 1: The Datacenter as a Computer: Designing Warehouse-Scale Machines

Luiz André Barroso, Urs Hölzle and Parthasarathy Ranganathan

2019

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Reference 55 in Chapter 1: Detection and Correction of Silent Data Corruption for Large-Scale High-Performance Computing

David Fiala, Frank Mueller, Christian Engelmann and 3 others

International Conference for High Performance Computing, Networking, Storage and Analysis 2012

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Reference 56 in Chapter 1: Securing RDMA for High-Performance Datacenter Storage Systems

Anna Kornfeld Simpson, Adriana Szekeres, Jacob Nelson and Irene Zhang

12th USENIX Workshop on Hot Topics in Cloud Computing 2020

usenix.org

Reference 57 in Chapter 1: Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google’s Datacenter Network

Arjun Singh, Joon Ong, Amit Agarwal and 15 others

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Reference 58 in Chapter 1: Hadoop’s Uncomfortable Fit in HPC

Glenn K. Lockwood

glennklockwood.blogspot.co.uk 2014

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Reference 59 in Chapter 1: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Cathy O'Neil

2016

Reference 60 in Chapter 1: Understanding and Benchmarking the Impact of GDPR on Database Systems

Supreeth Shastri, Vinay Banakar, Melissa Wasserman and 2 others

Proceedings of the VLDB Endowment 2020

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Reference 61 in Chapter 1: Datensparsamkeit

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