Quick study sessions to strengthen memory and retain key concepts.
Why do consumers need idempotency?
Because brokers can redeliver the same message and the handler must stay safe. At-least-once delivery is common in…
View Card →What does the outbox pattern protect against?
The gap between a successful local database commit and a failed event publish. Without an outbox, a service…
View Card →Why does not using Exponential Backoff in retries matter in practice?
Can lead to retry storms that overwhelm services. Without Exponential Backoff, retries can happen too quickly, causing a…
View Card →What role does Kubernetes play in orchestrating microservices?
It manages the deployment, scaling, and operation of containerized applications. Kubernetes automates the deployment and management of microservices…
View Card →How can Apache Kafka decouple services?
By using event-driven architecture. Frame the concept in practical terms so you can explain it during interview discussion.…
View Card →How does Docker contribute to microservices isolation?
By providing isolated environments for each service. Docker allows each microservice to run in its own container, ensuring…
View Card →Why is managing transient network faults important in microservices?
To ensure service reliability and user satisfaction. Transient network faults are temporary disruptions that can occur in distributed…
View Card →What are the tradeoffs when using Exponential Backoff?
Balancing delay duration and user experience. While Exponential Backoff helps avoid overwhelming systems, it can also introduce delays…
View Card →How does Exponential Backoff improve system resilience?
It mitigates retry storms and allows systems to recover. By using Exponential Backoff, microservices can avoid retry storms,…
View Card →What is Exponential Backoff in retries?
Exponential Backoff is a strategy where retries are made with increasing time intervals. Exponential Backoff is used to…
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