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Key Concepts to Understand
How It All Comes Together: A Practical Example
The Read Problem in Event Sourcing and how to solve it.
The Power of Stored Events: The Opportunity in Data
Challenges and Considerations
Key Concepts to Understand
How It All Comes Together: A Practical Example
The Read Problem in Event Sourcing and how to solve it.
The Power of Stored Events: The Opportunity in Data
Challenges and Considerations
If you could add one more question, what would it be?
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newsletter.systemdesignclassroom.com/p/a-survival...
Thanks for reading!
If you could add one more question, what would it be?
Here is the link to the article 👇
newsletter.systemdesignclassroom.com/p/a-survival...
Thanks for reading!
8. Can You Discuss Rate Limits and Their Importance?
9. What Is Idempotency, and Why Is It Important?
10. How Can You Improve API Performance?
11. How Do You Document REST APIs?
8. Can You Discuss Rate Limits and Their Importance?
9. What Is Idempotency, and Why Is It Important?
10. How Can You Improve API Performance?
11. How Do You Document REST APIs?
2. What Is the Difference Between PUT and PATCH?
3. What Are Common HTTP Status Codes, and What Do They Mean?
4. What Does It Mean for a REST API to Be Stateless?
5. How Do You Secure a REST API?
6. How Do You Version a REST API?
2. What Is the Difference Between PUT and PATCH?
3. What Are Common HTTP Status Codes, and What Do They Mean?
4. What Does It Mean for a REST API to Be Stateless?
5. How Do You Secure a REST API?
6. How Do You Version a REST API?
• Don’t break stuff—use versioning.
• Secure everything: auth, inputs, and outputs.
You barely notice it when it’s done right—it just gets out of your way.
What else makes APIs great?
• Don’t break stuff—use versioning.
• Secure everything: auth, inputs, and outputs.
You barely notice it when it’s done right—it just gets out of your way.
What else makes APIs great?
• Keep names and structures consistent.
• Make endpoints and errors easy to understand.
• Support filtering, pagination, and sorting.
• Avoid overloading or under-delivering data.
• Keep names and structures consistent.
• Make endpoints and errors easy to understand.
• Support filtering, pagination, and sorting.
• Avoid overloading or under-delivering data.
- The Problem: JOINs Turn into HTTP Calls
- Data Replication: An approach that works
- Other Ways to Solve the JOIN Problem
- Some Takeaways
Check out all the insights in my latest article!👇
- The Problem: JOINs Turn into HTTP Calls
- Data Replication: An approach that works
- Other Ways to Solve the JOIN Problem
- Some Takeaways
Check out all the insights in my latest article!👇
Since all those JOINs will become inter-communication calls, adding a performance tax.
Since all those JOINs will become inter-communication calls, adding a performance tax.
Good API design is like great architecture—invisible when done well, painful when done poorly.
newsletter.systemdesignclassroom.com/p/three-powe...
Good API design is like great architecture—invisible when done well, painful when done poorly.
newsletter.systemdesignclassroom.com/p/three-powe...
A flexible query language that minimizes over-fetching and under-fetching issues but requires careful design to avoid performance pitfalls.
A flexible query language that minimizes over-fetching and under-fetching issues but requires careful design to avoid performance pitfalls.
Provides UI-specific Backends, reducing unnecessary data fetching and promoting team autonomy while increasing maintenance overhead.
Provides UI-specific Backends, reducing unnecessary data fetching and promoting team autonomy while increasing maintenance overhead.
1. Central Aggregating Gateway
Acts as middleware to consolidate API calls into a single response, simplifying the Frontend but with potential bottleneck risks.
1. Central Aggregating Gateway
Acts as middleware to consolidate API calls into a single response, simplifying the Frontend but with potential bottleneck risks.