⚡ One HLD concept. 60 seconds. Interview ready· 1 of 24
Latency is the time for one request, while throughput is how many requests are processed.
⚡ One HLD concept. 60 seconds. Interview ready· 2 of 24
Stateless servers are easier to scale because they don't store user session data locally.
⚡ One HLD concept. 60 seconds. Interview ready· 3 of 24
Monolithic and microservices architectures each have unique advantages and challenges for software development.
⚡ One HLD concept. 60 seconds. Interview ready· 4 of 24
Load balancers distribute traffic across multiple servers to enhance performance and reliability.
⚡ One HLD concept. 60 seconds. Interview ready· 5 of 24
Caching helps applications respond faster by serving data from memory instead of hitting the database.
⚡ One HLD concept. 60 seconds. Interview ready· 6 of 24
The choice between SQL and NoSQL databases depends on your application's specific needs.
⚡ One HLD concept. 60 seconds. Interview ready· 7 of 24
Database replication enhances data availability and read performance but has challenges like replication lag.
⚡ One HLD concept. 60 seconds. Interview ready· 8 of 24
Sharding splits databases into smaller parts to improve performance and scalability.
⚡ One HLD concept. 60 seconds. Interview ready· 9 of 24
Database bottlenecks slow down performance, but identifying them helps optimize and scale effectively.
⚡ One HLD concept. 60 seconds. Interview ready· 10 of 24
Consistent hashing helps distribute data across servers with minimal movement.
⚡ One HLD concept. 60 seconds. Interview ready· 11 of 24
Distributed caching spreads data across multiple servers for better performance and reliability.
⚡ One HLD concept. 60 seconds. Interview ready· 12 of 24
Cache stampede occurs when many requests hit the database due to a cache miss.
⚡ One HLD concept. 60 seconds. Interview ready· 13 of 24
An API Gateway simplifies client access to backend services in microservices.
⚡ One HLD concept. 60 seconds. Interview ready· 14 of 24
REST API design focuses on creating clean, efficient, and scalable web services.
⚡ One HLD concept. 60 seconds. Interview ready· 15 of 24
API pagination helps manage large datasets by breaking them into smaller parts.
⚡ One HLD concept. 60 seconds. Interview ready· 16 of 24
Scaling databases involves deciding whether to enhance read or write capabilities based on traffic patterns.
⚡ One HLD concept. 60 seconds. Interview ready· 17 of 24
Message queues allow services to communicate asynchronously, improving scalability and reliability.
⚡ One HLD concept. 60 seconds. Interview ready· 18 of 24
Apache Kafka is a system for managing large volumes of events efficiently.
⚡ One HLD concept. 60 seconds. Interview ready· 19 of 24
Kafka uses partitions to allow multiple consumers to process messages in parallel.
⚡ One HLD concept. 60 seconds. Interview ready· 20 of 24
Kafka consumer lag shows how far behind consumers are from new messages.
⚡ One HLD concept. 60 seconds. Interview ready· 21 of 24
Kafka maintains message order within partitions using keys for routing.
⚡ One HLD concept. 60 seconds. Interview ready· 22 of 24
Distributed locks ensure only one server performs a task, avoiding duplication.
⚡ One HLD concept. 60 seconds. Interview ready· 23 of 24
Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.
⚡ One HLD concept. 60 seconds. Interview ready· 24 of 24
Elasticsearch has different node roles that help manage data and scale clusters effectively.
🏁
Lock it in: take the quizzes, and SnapGyan will bring each topic back right before you’d forget it.
