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EVERY system design skill you should learn, IN ORDER

8 min video·en··3 views

Summary

A software engineer ranks and explains the importance of various system design patterns and tools for developers, emphasizing that system design knowledge is more valuable than just coding skills.

Key Points

  • The primary difference between a coder and a software engineer lies in the engineer's ability to design systems, a skill that is becoming increasingly valuable. 
  • RESTful APIs are fundamental and should be prioritized over alternatives like GraphQL for most applications. 
  • Microservices, while offering development velocity for large teams, are not recommended for solo developers or personal projects and are being moved away from by some companies. 
  • Object storage (like S3) is essential for storing files and images, is cost-effective, durable, and should be understood by all developers. 
  • Queues are crucial for handling asynchronous workloads and buffering spiky traffic, making them an underrated but important system design component. 
  • Load balancers are critical for horizontal scaling, enabling applications to handle massive traffic by distributing requests across multiple servers. 
  • REST APIs are a foundational concept in software engineering, essential for building and interacting with applications. 
  • Content Delivery Networks (CDNs) are vital for serving static data efficiently, reducing latency, and often saving costs by caching content closer to users. 
  • Databases are a core requirement for nearly every application to persistently store data, with PostgreSQL being a recommended starting point. 
  • Understanding monitoring is paramount for any system, allowing developers to identify and address issues proactively rather than waiting for user complaints. 
  • Continuous Integration and Continuous Deployment (CI/CD) are essential for shipping code quickly and reliably, directly impacting a company's revenue and reducing bugs. 
  • Containers (like Docker) are highly beneficial for deployment, scaling, and testing, simplifying many aspects of software development. 
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EVERY system design skill you should learn, IN ORDER

EVERY system design skill you should learn, IN ORDER

A software engineer ranks and explains the importance of various system design patterns and tools for developers, emphasizing that system design knowledge is more valuable than just coding skills.

Key Points

The primary difference between a coder and a software engineer lies in the engineer's ability to design systems, a skill that is becoming increasingly valuable.
RESTful APIs are fundamental and should be prioritized over alternatives like GraphQL for most applications.
Microservices, while offering development velocity for large teams, are not recommended for solo developers or personal projects and are being moved away from by some companies.
Object storage (like S3) is essential for storing files and images, is cost-effective, durable, and should be understood by all developers.
Queues are crucial for handling asynchronous workloads and buffering spiky traffic, making them an underrated but important system design component.
Load balancers are critical for horizontal scaling, enabling applications to handle massive traffic by distributing requests across multiple servers.
REST APIs are a foundational concept in software engineering, essential for building and interacting with applications.
Content Delivery Networks (CDNs) are vital for serving static data efficiently, reducing latency, and often saving costs by caching content closer to users.
Databases are a core requirement for nearly every application to persistently store data, with PostgreSQL being a recommended starting point.
Understanding monitoring is paramount for any system, allowing developers to identify and address issues proactively rather than waiting for user complaints.
Continuous Integration and Continuous Deployment (CI/CD) are essential for shipping code quickly and reliably, directly impacting a company's revenue and reducing bugs.
Containers (like Docker) are highly beneficial for deployment, scaling, and testing, simplifying many aspects of software development.
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