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distributed systems
60 shorts across 1 course, in learning order
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Results · 8 for “Cloud Computing Concepts”
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⚡ One HLD concept. 60 seconds. Interview ready
Understanding RPC: Remote Procedure Calls in Distributed Systems
RPC allows one service to call a function in another service over the network.
⚡ 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.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Vertical and Horizontal Scaling in System Design
Vertical scaling means upgrading one server, while horizontal scaling means adding more servers.
⚡ 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
Distributed Backpressure: Managing Service Overload
Distributed backpressure helps manage the flow of work between services to prevent overload.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding CAP Theorem: Trade-offs in Distributed Systems
The CAP Theorem explains the trade-offs in distributed systems during network failures.
⚡ One HLD concept. 60 seconds. Interview ready
HLD: Managing Dependency Failures in Distributed Systems
Dependency failures can disrupt applications, but resilience patterns can help manage them.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding gRPC Architecture: Behind the Call
gRPC allows efficient communication between services using a structured request-response model.
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Not tagged “distributed systems”, but closely connected
