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Multiple Places Where Caching Exists
Caching is everywhere
Dec 23
•
Saurabh Dashora
13
2
Database Scaling and Performance Tips
Strategies you must know
Dec 16
•
Saurabh Dashora
21
1
LSM Trees Explained
Making database writes fast
Dec 9
•
Saurabh Dashora
24
7
2
Top Microservices Patterns
The ones that are most common
Dec 2
•
Saurabh Dashora
23
2
5
November 2025
5 Million Profiles Reads/Second - Caching at LinkedIn Scale
Couchbase Cache, Espresso and Brooklin
Nov 25
•
Saurabh Dashora
29
1
1
An Intro to DB Sharding
Strategies and decision method
Nov 18
•
Saurabh Dashora
28
1
2
Choosing Between Normalization Or Denormalization
How to make the decision
Nov 11
•
Saurabh Dashora
24
1
1
Key Concepts of Kafka
A high level view...
Nov 4
•
Saurabh Dashora
46
1
5
October 2025
Authorizing 10 Million API Calls Per Second
How LinkedIn Authorizes The Calls?
Oct 28
•
Saurabh Dashora
31
3
How Paypal Built JunoDB?
A deep dive breakdown
Oct 21
•
Saurabh Dashora
21
3
1
How Amazon Dynamo Works
The precursor to the highly popular DynamoDB
Oct 14
•
Saurabh Dashora
31
2
3
Top Strategies for High Availability
Knowing about them can help you...
Oct 7
•
Saurabh Dashora
25
2
1
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