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Topic
microservices
39 shorts across 1 course, in learning order
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Results · 8 for “Data Redundancy Concepts”
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⚡ One HLD concept. 60 seconds. Interview ready
Understanding Database per Service in Microservices Architecture
Database per Service ensures each microservice owns its data, reducing dependencies.
⚡ One HLD concept. 60 seconds. Interview ready
HLD: Shared DB vs Database per Service Trade-Offs
Choosing between a shared database and a database per service affects system design significantly.
⚡ One HLD concept. 60 seconds. Interview ready
HLD: Fallbacks Explained for System Design
Fallbacks allow systems to handle failures safely and maintain user experience.
⚡ One HLD concept. 60 seconds. Interview ready
Message Delivery Semantics: At-Most-Once vs At-Least-Once vs Exactly-Once
Message delivery semantics define how messages are sent in distributed systems and handle failures.
⚡ 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.
⚡ 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 RED Method for Microservices Monitoring
The RED Method helps monitor microservices using Rate, Errors, and Duration metrics.
⚡ 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.