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Improve reliability and resilience
Fallacies of distributed computing
1. The network is reliable.
2. Latency is zero.
3. Bandwidth is infinite.
4. The network is secure.
5. Topology doesn't change.
6. There is one administrator.
7. Transport cost is zero.
8. The network is homogeneous.
https://en.wikipedia.org/wiki/Fallacies_of_distributed_computing
Reliability matters
How are we gonna improve reliability and
reduce operational cost for the developer
7 resilience policies we can adopt
1. Retry
Overcome transient failures
● Failure that retry might help
■ DNS error
■ Connection error
■ Timeout
● When to retry
■ 503 (Service unavailable)
■ 429 (too many requests)
■ 408 (request timeout)
■ 500 (Internal server error) DON”T continually retry
○ Receive 400, fix your input data
2. Retry + Back off + Jitter
Protecting failing server from overload
https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/
3. Circuit Breaker
Fail fast and stop hurting other services
4. Timeout
Don’t wait forever
5. Cache
You have asked that one before
6. Bulkhead isolation
One fault should sink the whole ship
https://dzone.com/articles/performance-patterns-in-microservices-based-integr-1
https://dzone.com/articles/performance-patterns-in-microservices-based-integr-1
7. Fallback
Return alternative response while failure

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