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system design
66 shorts across 1 course, in learning order
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Results · 9 for “Concurrency control”
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⚡ One HLD concept. 60 seconds. Interview ready
Understanding Cache Breakdown and Request Coalescing
Cache breakdowns can overwhelm databases, but request coalescing solves this issue.
⚡ One HLD concept. 60 seconds. Interview ready
Connection Pooling Explained: Why a Bigger Pool Can Hurt
Connection pooling reuses database connections but can cause issues if misconfigured.
⚡ One HLD concept. 60 seconds. Interview ready
Transactional Outbox Pattern: Never Lose Events!
The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.
⚡ One HLD concept. 60 seconds. Interview ready
Distributed Locks: Preventing Duplicate Work Across Servers
Distributed locks ensure only one server performs a task, avoiding duplication.
⚡ One HLD concept. 60 seconds. Interview ready
Token Bucket vs Leaky Bucket: Key Differences Explained
Token Bucket allows burst traffic, while Leaky Bucket smooths out traffic flow.
⚡ One HLD concept. 60 seconds. Interview ready
Kafka Backpressure Strategies: Handling Traffic Spikes
Backpressure helps manage message flow in Kafka during traffic spikes.
⚡ One HLD concept. 60 seconds. Interview ready
Choosing a Distributed Lock: Redis vs Database vs ZooKeeper
Choosing the right distributed lock depends on your system's needs and existing tools.
⚡ One HLD concept. 60 seconds. Interview ready
Token Bucket Rate Limiting Explained for Interviews
The Token Bucket algorithm helps manage how many requests a server can handle.
⚡ One HLD concept. 60 seconds. Interview ready
Distributed Backpressure: Managing Service Overload
Distributed backpressure helps manage the flow of work between services to prevent overload.
🧠Related by meaning
Not tagged “system design”, but closely connected
