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system design

66 shorts across 1 course, in learning order

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Results · 23 for “Load balancing techniques”

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⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

L4 vs L7 Load Balancers: Key Differences Explained

L4 and L7 load balancers differ in how they route network traffic based on layers of the OSI model.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding Cache Breakdown and Request Coalescing

Cache breakdowns can overwhelm databases, but request coalescing solves this issue.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

API Gateway vs Proxy vs Load Balancer: Key Differences

API Gateway, Proxy, and Load Balancer serve different roles in managing requests and traffic in systems.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Kafka Backpressure Strategies: Handling Traffic Spikes

Backpressure helps manage message flow in Kafka during traffic spikes.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Kafka Consumer Assignment Strategies: Range vs RoundRobin vs Sticky

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding the Bulkhead Pattern in System Design

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Identifying and Optimizing Database Bottlenecks

Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Cascading Failures in Distributed Systems Explained

Cascading failures occur when one service's failure impacts others, causing widespread issues.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding the USE Method for Infrastructure Bottlenecks

The USE Method helps find and analyze infrastructure bottlenecks in software systems.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding CDN: How Cache Hits Improve Performance

A CDN speeds up web applications by caching content closer to users.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

HLD: Fallbacks Explained for System Design

Fallbacks allow systems to handle failures safely and maintain user experience.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding Reverse Proxy in High-Level Design

A reverse proxy routes client requests to different backend services efficiently.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding Cache Hits: Reducing Database Load

Caching helps applications respond faster by serving data from memory instead of hitting the database.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding Message Queues in Distributed Systems

Message queues allow services to communicate asynchronously, improving scalability and reliability.

Medium5m5 MCQs

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