Writing at: https://newsletter.systemdesignclassroom.com/
I know we can travel back (we technically called it "reproducibility"), but can we travel to the future?
I know we can travel back (we technically called it "reproducibility"), but can we travel to the future?
Lose your network? That's just downtime.
Lose your data? That's game over.
Have you ever lost production data?
Lose your network? That's just downtime.
Lose your data? That's game over.
Have you ever lost production data?
It feels natural and intuitive. It simply works!
It feels natural and intuitive. It simply works!
It does not provide true atomicity but helps with:
- Eventual Consistency
- Compensating Transactions
- Scalability
- Fault Tolerance
It does not provide true atomicity but helps with:
- Eventual Consistency
- Compensating Transactions
- Scalability
- Fault Tolerance
Relational Databases are so good at joining data that we often forget until we miss our JOINs.
Breaking the database apart is one of the most complex tasks.
Relational Databases are so good at joining data that we often forget until we miss our JOINs.
Breaking the database apart is one of the most complex tasks.
If you are a:
- Freelancer? You’re negotiating your estimates, scope, and payment terms all day.
- Employee? You’ve got salary, promotions, and perks on the table.
Best book I have ever read on negotiation. 👇
If you are a:
- Freelancer? You’re negotiating your estimates, scope, and payment terms all day.
- Employee? You’ve got salary, promotions, and perks on the table.
Best book I have ever read on negotiation. 👇
• Sql vs NoSql
• Consistency vs Availability
• Accuracy vs Latency
• Strong vs Eventual Consistency
• Batch vs Stream Processing
• Synchronous vs Asynchronous Processing
• Duplication vs Normalization
• TCP vs UDP
• Sql vs NoSql
• Consistency vs Availability
• Accuracy vs Latency
• Strong vs Eventual Consistency
• Batch vs Stream Processing
• Synchronous vs Asynchronous Processing
• Duplication vs Normalization
• TCP vs UDP
Here is what you need to master. 👇
1. Scalable Data Storage
2. Caching
3. Load Balancing
.
.
.
www.linkedin.com/posts/raul-j...
If you master these 11 areas, you'll be ready for most system design interviews thrown at you.
Here is what you need to master. 👇
1. Scalable Data Storage
2. Caching
3. Load Balancing
.
.
.
www.linkedin.com/posts/raul-j...
If you master these 11 areas, you'll be ready for most system design interviews thrown at you.
Too many systems cannot handle retries, turning simple issues into complex failures.
Here is a simple way to implement it.
Too many systems cannot handle retries, turning simple issues into complex failures.
Here is a simple way to implement it.
System Design is making tough trade-offs under pressure and understanding why one approach is better than another.
System Design is making tough trade-offs under pressure and understanding why one approach is better than another.