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5 results ·🧩 event-driven architecture✕📚 System Design✕Clear all

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event-driven architecture

5 shorts across 1 course, in learning order

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SubjectSoftware Engineering 217System Design 102Distributed Systems 56Computer Science 14Database Management 8Networking 6Cybersecurity 2Data Engineering 2Data Management 2Data Structures 2Database Systems 2Web Development 2
LevelEasyMediumHard
Topicsystem design 116distributed systems 60kafka 51microservices 39elasticsearch 31scalability 24high level design 15consumer 13database 12high availability 11offsets 11software architecture 11caching 10fault tolerance 10raft 9consensus 8
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Shorts · 5

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⚡ One HLD concept. 60 seconds. Interview ready

Kafka Graceful Shutdown: Stop Without Losing Work

Graceful shutdown in Kafka ensures no data loss during consumer termination.

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

Queue vs Pub/Sub: Key Differences in System Design

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Understanding the Saga Pattern in Distributed Transactions

The Saga Pattern manages distributed transactions using local transactions and compensating actions.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Transactional Outbox Pattern: Never Lose Events!

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Medium5m5 MCQs

🧠Related by meaning

Not tagged “event-driven architecture”, but closely connected

⚡ One HLD concept. 60 seconds. Interview ready

HLD: Understanding Request-Response vs Events in System Design

Request-Response asks for a result, while Events notify that something has happened.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

HLD: 5 Microservices Communication Patterns Explained

Microservices can communicate using five key patterns based on their needs.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Kafka Replay Without Breaking Production: Safe Architecture

You can replay Kafka events safely by separating live and replay processes.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Kafka Schema Evolution: Changing Schemas Without Breaking Consumers

Kafka Schema Evolution allows safe changes to message structures without breaking existing consumers.

Medium5m4 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Kafka Streams Windowing: Tumbling vs Hopping Windows Explained

Kafka Streams uses tumbling and hopping windows for time-based data aggregation.

Medium5m5 MCQs

⚡ 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.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

FAANG HLD 🔥 | Kafka Backpressure Explained — What Happens When Consumers Can't Keep Up? 🚨

Backpressure prevents system overload by managing message processing rates in Kafka.

Medium5m5 MCQs

⚡ One HLD concept. 60 seconds. Interview ready

Kafka Consumer Reprocessing: Safe Event Replay Strategies

Kafka consumer reprocessing involves safely replaying events to correct system states.

Medium5m5 MCQs