Pitfalls to Avoid in High-Scale Cloud Applications
Briefly

"In recent years, I have come across a recurring set of often surprising issues with major consequences in high-scale cloud applications. Everything fails, all the time."
"All major cloud providers (AWS, Azure, GCP) enforce concurrency and rate limits for API calls, which can lead to Too Many Requests errors during traffic spikes."
"Traditional databases often become choke points under high read/write loads. Symptoms include slow queries and locking, which can degrade user experience significantly."
"To address these problems effectively, you should monitor cloud usage, raise request quotas, and offload database reads using caching solutions like Redis or Memcached."
Read at hackernoon.com
[
|
]