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Topic
scalability
24 shorts across 1 course, in learning order
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Results · 9 for “Understanding of distributed systems”
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⚡ 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
Understanding Message Queues in Distributed Systems
Message queues allow services to communicate asynchronously, improving scalability and reliability.
⚡ One HLD concept. 60 seconds. Interview ready
Distributed Caching: Why Spread It Out?
Distributed caching spreads data across multiple servers for better performance and reliability.
⚡ One HLD concept. 60 seconds. Interview ready
Consistent Hashing: Key to Distributed Systems Scalability
Consistent hashing helps distribute data across servers with minimal movement.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Sharding: How Databases Manage Large Data
Sharding splits databases into smaller parts to improve performance and scalability.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Load Balancers in System Design
Load balancers distribute traffic across multiple servers to enhance performance and reliability.
⚡ One HLD concept. 60 seconds. Interview ready
Stateless vs Stateful Servers: Scaling Made Easy
Stateless servers are easier to scale because they don't store user session data locally.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Database Replication in High-Level Design
Database replication enhances data availability and read performance but has challenges like replication lag.
⚡ One HLD concept. 60 seconds. Interview ready
When to Use Microservices in Software Design
Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.
🧠Related by meaning
Not tagged “scalability”, but closely connected
