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README.md
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README.md
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@ -48,9 +48,9 @@ Additional topics for interview prep:
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The provided [Anki flashcard decks](https://apps.ankiweb.net/) use spaced repetition to help you retain key system design concepts.
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* [System design deck](https://github.com/donnemartin/system-design-primer/blob/master/resources/flash_cards/System%20Design.apkg)
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* [System design exercises deck](https://github.com/donnemartin/system-design-primer/blob/master/resources/flash_cards/System%20Design%20Exercises.apkg)
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* [Object oriented design exercises deck](https://github.com/donnemartin/system-design-primer/blob/master/resources/flash_cards/OO%20Design.apkg)
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* [System design deck](resources/flash_cards/System%20Design.apkg)
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* [System design exercises deck](resources/flash_cards/System%20Design%20Exercises.apkg)
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* [Object oriented design exercises deck](resources/flash_cards/OO%20Design.apkg)
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Great for use while on-the-go.
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@ -66,7 +66,7 @@ Feel free to submit pull requests to help:
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Content that needs some polishing is placed [under development](#under-development).
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Review the [Contributing Guidelines](https://github.com/donnemartin/system-design-primer/blob/master/CONTRIBUTING.md).
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Review the [Contributing Guidelines](CONTRIBUTING.md).
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## Index of system design topics
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@ -226,10 +226,10 @@ Outline a high level design with all important components.
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### Step 3: Design core components
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Dive into details for each core component. For example, if you were asked to [design a url shortening service](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/pastebin/README.md), discuss:
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Dive into details for each core component. For example, if you were asked to [design a url shortening service](solutions/system_design/pastebin/README.md), discuss:
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* Generating and storing a hash of the full url
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* [MD5](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/pastebin/README.md) and [Base62](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/pastebin/README.md)
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* [MD5](solutions/system_design/pastebin/README.md) and [Base62](solutions/system_design/pastebin/README.md)
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* Hash collisions
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* SQL or NoSQL
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* Database schema
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@ -272,61 +272,61 @@ Check out the following links to get a better idea of what to expect:
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| Question | |
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| Design Pastebin.com (or Bit.ly) | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/pastebin/README.md) |
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| Design the Twitter timeline (or Facebook feed)<br/>Design Twitter search (or Facebook search) | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/twitter/README.md) |
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| Design a web crawler | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/web_crawler/README.md) |
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| Design Mint.com | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/mint/README.md) |
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| Design the data structures for a social network | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/social_graph/README.md) |
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| Design a key-value store for a search engine | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/query_cache/README.md) |
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| Design Amazon's sales ranking by category feature | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/sales_rank/README.md) |
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| Design a system that scales to millions of users on AWS | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) |
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| Design Pastebin.com (or Bit.ly) | [Solution](solutions/system_design/pastebin/README.md) |
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| Design the Twitter timeline (or Facebook feed)<br/>Design Twitter search (or Facebook search) | [Solution](solutions/system_design/twitter/README.md) |
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| Design a web crawler | [Solution](solutions/system_design/web_crawler/README.md) |
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| Design Mint.com | [Solution](solutions/system_design/mint/README.md) |
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| Design the data structures for a social network | [Solution](solutions/system_design/social_graph/README.md) |
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| Design a key-value store for a search engine | [Solution](solutions/system_design/query_cache/README.md) |
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| Design Amazon's sales ranking by category feature | [Solution](solutions/system_design/sales_rank/README.md) |
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| Design a system that scales to millions of users on AWS | [Solution](solutions/system_design/scaling_aws/README.md) |
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| Add a system design question | [Contribute](#contributing) |
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### Design Pastebin.com (or Bit.ly)
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/pastebin/README.md)
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[View exercise and solution](solutions/system_design/pastebin/README.md)
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![Imgur](http://i.imgur.com/4edXG0T.png)
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### Design the Twitter timeline and search (or Facebook feed and search)
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/twitter/README.md)
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[View exercise and solution](solutions/system_design/twitter/README.md)
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![Imgur](http://i.imgur.com/jrUBAF7.png)
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### Design a web crawler
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/web_crawler/README.md)
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[View exercise and solution](solutions/system_design/web_crawler/README.md)
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![Imgur](http://i.imgur.com/bWxPtQA.png)
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### Design Mint.com
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/mint/README.md)
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[View exercise and solution](solutions/system_design/mint/README.md)
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![Imgur](http://i.imgur.com/V5q57vU.png)
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### Design the data structures for a social network
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/social_graph/README.md)
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[View exercise and solution](solutions/system_design/social_graph/README.md)
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![Imgur](http://i.imgur.com/cdCv5g7.png)
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### Design a key-value store for a search engine
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/query_cache/README.md)
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[View exercise and solution](solutions/system_design/query_cache/README.md)
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![Imgur](http://i.imgur.com/4j99mhe.png)
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### Design Amazon's sales ranking by category feature
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/sales_rank/README.md)
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[View exercise and solution](solutions/system_design/sales_rank/README.md)
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![Imgur](http://i.imgur.com/MzExP06.png)
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### Design a system that scales to millions of users on AWS
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[View exercise and solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md)
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[View exercise and solution](solutions/system_design/scaling_aws/README.md)
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![Imgur](http://i.imgur.com/jj3A5N8.png)
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@ -340,12 +340,12 @@ Check out the following links to get a better idea of what to expect:
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| Question | |
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| Design a hash map | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/object_oriented_design/hash_table/hash_map.ipynb) |
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| Design a least recently used cache | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/object_oriented_design/lru_cache/lru_cache.ipynb) |
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| Design a call center | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/object_oriented_design/call_center/call_center.ipynb) |
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| Design a deck of cards | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/object_oriented_design/deck_of_cards/deck_of_cards.ipynb) |
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| Design a parking lot | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/object_oriented_design/parking_lot/parking_lot.ipynb) |
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| Design a chat server | [Solution](https://github.com/donnemartin/system-design-primer/blob/master/solutions/object_oriented_design/online_chat/online_chat.ipynb) |
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| Design a hash map | [Solution](solutions/object_oriented_design/hash_table/hash_map.ipynb) |
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| Design a least recently used cache | [Solution](solutions/object_oriented_design/lru_cache/lru_cache.ipynb) |
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| Design a call center | [Solution](solutions/object_oriented_design/call_center/call_center.ipynb) |
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| Design a deck of cards | [Solution](solutions/object_oriented_design/deck_of_cards/deck_of_cards.ipynb) |
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| Design a parking lot | [Solution](solutions/object_oriented_design/parking_lot/parking_lot.ipynb) |
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| Design a chat server | [Solution](solutions/object_oriented_design/online_chat/online_chat.ipynb) |
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| Design a circular array | [Contribute](#contributing) |
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| Add an object-oriented design question | [Contribute](#contributing) |
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@ -331,7 +331,7 @@ class SpendingByCategory(MRJob):
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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@ -239,7 +239,7 @@ To delete expired pastes, we could just scan the **SQL Database** for all entrie
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would do this iteratively: 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would do this iteratively: 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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@ -216,7 +216,7 @@ Refer to [When to update the cache](https://github.com/donnemartin/system-design
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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@ -243,7 +243,7 @@ For internal communications, we could use [Remote Procedure Calls](https://githu
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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@ -254,7 +254,7 @@ For internal communications, we could use [Remote Procedure Calls](https://githu
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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**Important: Do not simply jump right into the final design from the initial design!**
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](https://github.com/donnemartin/system-design-primer/blob/master/solutions/system_design/scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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State you would 1) **Benchmark/Load Test**, 2) **Profile** for bottlenecks 3) address bottlenecks while evaluating alternatives and trade-offs, and 4) repeat. See [Design a system that scales to millions of users on AWS](../scaling_aws/README.md) as a sample on how to iteratively scale the initial design.
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It's important to discuss what bottlenecks you might encounter with the initial design and how you might address each of them. For example, what issues are addressed by adding a **Load Balancer** with multiple **Web Servers**? **CDN**? **Master-Slave Replicas**? What are the alternatives and **Trade-Offs** for each?
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