White Papers to Learn System Design and Software Architecture
The compilation includes influential papers on system design and software architecture from leaders like Google and AWS, covering topics such as distributed systems, database management, and foundational concepts essential for aspiring architects.
Read original article
design and software architecture, essential for anyone preparing for system design interviews or seeking to deepen their understanding of these fields. The compilation includes influential papers from industry leaders like Google and AWS, covering a range of topics from distributed systems to database management. Notable papers include "Google File System," which outlines a scalable distributed file system, and "MapReduce," which discusses a programming model for processing large data sets. Other significant contributions include "Dynamo," detailing Amazon's key-value store, and "Bigtable," which focuses on structured data storage. The list also features foundational concepts such as the CAP Theorem, consensus algorithms like Paxos and Raft, and various architectural frameworks like SEDA and Pregel. These papers provide valuable insights into best practices, technical details, and real-world applications, making them indispensable resources for aspiring system architects and developers. Additionally, the article suggests supplementary resources like online courses and templates to enhance interview preparation. Overall, this collection serves as a comprehensive guide for those looking to excel in system design and software architecture.
Related
Documenting Software Architectures
Documenting software architectures is crucial for guiding developers, facilitating communication, and capturing decisions effectively. The arc42 template and C4 model offer structured approaches to achieve this, balancing detail and clarity.
Java's James Gosling on Fame, Freedom, Failure Modes and Fun (2023)
The article covers software development, technology trends, open-source projects, cloud computing, AI, security, distributed ledgers, containerized apps, edge computing, AI deployments, DevSec challenges, AI transformation, and transparency in AI development.
Big Ball of Mud (1999)
The paper delves into the Big Ball of Mud software architecture, analyzing its causes, challenges, and strategies for improvement. It highlights the balance between pragmatism and long-term architectural considerations in software development.
Building SaaS from Scratch Using Cloud-Native Patterns
Building a robust Cloud platform for SaaS involves utilizing cloud-native patterns like Google Cloud Platform, Azure, and AWS for self-service, scalability, and multi-tenancy. Diagrid's case study emphasizes control plane design, API strategies, and tools like Kubernetes Resource Model for effective resource management. Joni Collinge advises caution in adopting Cloud-Native technologies to align with specific requirements, ensuring adaptability in a competitive landscape.
Devs need system design tools, not diagramming tools
The New Stack website provides resources on software engineering, emphasizing system design tools for developers. It covers various topics like AI, security, and trends in software development, offering insights and resources for the community.
0 commentsRelated
Documenting Software Architectures
Documenting software architectures is crucial for guiding developers, facilitating communication, and capturing decisions effectively. The arc42 template and C4 model offer structured approaches to achieve this, balancing detail and clarity.
Java's James Gosling on Fame, Freedom, Failure Modes and Fun (2023)
The article covers software development, technology trends, open-source projects, cloud computing, AI, security, distributed ledgers, containerized apps, edge computing, AI deployments, DevSec challenges, AI transformation, and transparency in AI development.
Big Ball of Mud (1999)
The paper delves into the Big Ball of Mud software architecture, analyzing its causes, challenges, and strategies for improvement. It highlights the balance between pragmatism and long-term architectural considerations in software development.
Building SaaS from Scratch Using Cloud-Native Patterns
Building a robust Cloud platform for SaaS involves utilizing cloud-native patterns like Google Cloud Platform, Azure, and AWS for self-service, scalability, and multi-tenancy. Diagrid's case study emphasizes control plane design, API strategies, and tools like Kubernetes Resource Model for effective resource management. Joni Collinge advises caution in adopting Cloud-Native technologies to align with specific requirements, ensuring adaptability in a competitive landscape.
Devs need system design tools, not diagramming tools
The New Stack website provides resources on software engineering, emphasizing system design tools for developers. It covers various topics like AI, security, and trends in software development, offering insights and resources for the community.