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⚡ 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
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.
⚡ One HLD concept. 60 seconds. Interview ready
HLD: 5 Microservices Communication Patterns Explained
Microservices can communicate using five key patterns based on their needs.
⚡ 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.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding the Retry Pattern in System Design
The retry pattern helps systems recover from temporary failures but can cause overload if misused.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Jitter in High-Level Design
Jitter helps spread out client retries to avoid traffic spikes.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Distributed Tracing in Microservices Architecture
Distributed tracing helps track requests across microservices to find delays.
⚡ 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
Understanding Latency, Throughput, and Response Time
Latency, throughput, and response time are key metrics in system performance.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Unary vs Streaming RPC in gRPC
gRPC supports four communication patterns: Unary, Server Streaming, Client Streaming, and Bidirectional Streaming.
⚡ One HLD concept. 60 seconds. Interview ready
Understanding Logs, Metrics, and Traces in Software Engineering
Logs, metrics, and traces help engineers debug issues in software systems.
⚡ One HLD concept. 60 seconds. Interview ready
Read vs Write Scaling: How to Scale Databases
Scaling databases involves deciding whether to enhance read or write capabilities based on traffic patterns.