# Distributed Systems - Am I Learning Enough

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# Distributed Systems

## Official Documentation

- Apache Hadoop Documentation
- Link
- Apache Kafka Documentation
- Link
- Kubernetes Documentation
- Link
- Docker Documentation
- Link

## Research Papers

- "The Google File System" by Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung (2003)
- Link
- "MapReduce: Simplified Data Processing on Large Clusters" by Jeffrey Dean and Sanjay Ghemawat (2004)
- Link
- "Dynamo: Amazon's Highly Available Key-value Store" by Giuseppe DeCandia et al. (2007)
- Link
- "ZooKeeper: Wait-free coordination for Internet-scale systems" by Patrick Hunt et al. (2010)
- Link

## Additional Online Resources

- Distributed Systems for Fun and Profit
- Link
- Designing Data-Intensive Applications by Martin Kleppmann
- Link
- MIT 6.824: Distributed Systems
- Link
- Awesome Distributed Systems
- Link

## Books

- "Designing Distributed Systems" by Brendan Burns
- ISBN: 1491983647
- A practical guide to designing and implementing distributed systems using Kubernetes and other open source tools.
- "Designing Data-Intensive Applications" by Martin Kleppmann
- ISBN: 1449373321
- Explores the principles, algorithms, and trade-offs of data systems, with a focus on distributed architectures.
- "Distributed Systems: Principles and Paradigms" by Andrew S. Tanenbaum and Maarten van Steen
- ISBN: 153028175X
- A comprehensive introduction to the principles and paradigms underlying distributed systems.
- "Building Microservices" by Sam Newman
- ISBN: 1492034029
- Provides practical advice on how to design and implement distributed systems using microservices architecture.

## Standards

- ISO/IEC/IEEE 60559:2020 Information technology — Microprocessor Systems — Floating-Point arithmetic
- Relevant for ensuring consistency in floating-point operations across distributed systems
- ISO/IEC 10746 Information technology — Open Distributed Processing
- Provides a framework for the standardization of open distributed processing

## Online Courses

- Coursera: Cloud Computing Specialization by University of Illinois
- Link
- edX: Reliable Distributed Algorithms by KTH Royal Institute of Technology
- Link
- Udacity: Intro to Parallel Programming
- Link

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