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microservices
39 shorts across 1 course, in learning order
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Results · 11 for “Stream processing concepts”
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⚡ 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 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 Message Queues in Distributed Systems
Message queues allow services to communicate asynchronously, improving scalability and reliability.

⚡ 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.

⚡ 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.

⚡ 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.

⚡ 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.

⚡ 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
Structured Logging: Debugging Production Issues Faster
Structured logging helps in quickly identifying issues by organizing log data consistently.

⚡ 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.

⚡ 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.