⚡ One HLD concept. 60 seconds. Interview ready· 1 of 12
The Cache-Aside Pattern speeds up data retrieval by using a cache to store frequently accessed data.
⚡ One HLD concept. 60 seconds. Interview ready· 2 of 12
Sharding splits databases into smaller parts to improve performance and scalability.
⚡ One HLD concept. 60 seconds. Interview ready· 3 of 12
Partition pruning helps databases skip unnecessary data scans, speeding up queries.
⚡ One HLD concept. 60 seconds. Interview ready· 4 of 12
Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.
⚡ One HLD concept. 60 seconds. Interview ready· 5 of 12
Cache invalidation is about knowing when to refresh cached data.
⚡ One HLD concept. 60 seconds. Interview ready· 6 of 12
Cache stampede occurs when many requests hit the database due to a cache miss.
⚡ One HLD concept. 60 seconds. Interview ready· 7 of 12
Cache penetration occurs when requests for non-existent data overload the database.
⚡ One HLD concept. 60 seconds. Interview ready· 8 of 12
Cache breakdowns can overwhelm databases, but request coalescing solves this issue.
⚡ One HLD concept. 60 seconds. Interview ready· 9 of 12
Write-Ahead Log ensures data is safely recorded before changes are made.
⚡ One HLD concept. 60 seconds. Interview ready· 10 of 12
Transactions ensure database operations are reliable using ACID properties.
⚡ One HLD concept. 60 seconds. Interview ready· 11 of 12
Database isolation levels determine how transactions interact and affect data consistency.
⚡ One HLD concept. 60 seconds. Interview ready· 12 of 12
2-Phase Commit helps maintain data consistency in transactions across multiple databases.
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