
Yan Cui
Podcast Host at Real World Serverless with theburningmonk
I help you master AWS and serverless | AWS Serverless Hero Newsletter 👉 https://t.co/eZRWhA8Zch YouTube ▶️ https://t.co/lgCxyf2r47
Articles
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1 week ago |
dx.doi.org | Qian Cheng |Yan Cui |Dongquan Leng |Degang Zhao
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1 week ago |
pubs.acs.org | Qian Cheng |Yan Cui |Dongquan Leng |Degang Zhao
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4 weeks ago |
theburningmonk.com | Yan Cui
Yan Cui I help clients go faster for less using serverless technologies. Table of Content This article is brought to you byNeon Serverless Postgres – the database you love, on a serverless platform. Build reliable, scalable applications faster with Neon without needing to migrate production!Learn More“Lambdalith” refers to deploying monolithic applications using AWS Lambda.
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1 month ago |
theburningmonk.com | Yan Cui
Yan Cui I help clients go faster for less using serverless technologies. Table of Content This article is brought to you byNeon Serverless Postgres – the database you love, on a serverless platform. Build reliable, scalable applications faster with Neon without needing to migrate production!Learn MoreMachine-to-machine authentication is typically used when two systems need to communicate with each other.
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1 month ago |
theburningmonk.com | Yan Cui
Yan Cui I help clients go faster for less using serverless technologies. Table of Content “Durable Execution” means a system can execute workflows reliably and remember progress even when failures occur. It typically involves:Persisting progress to avoid repeating side-effects. Recovering gracefully from failures. Maintaining a history of executions. It’s commonly associated with workflow orchestrators such as AWS Step Functions.
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We're safe from AI domination, for now 😅 https://t.co/7VKVYPjeXg

Saying "coding is dead" is missing the point. Coding isn’t just about creating code, it’s also a way of thinking. It teaches us structure, systems thinking, trade-offs, abstractions and problem decomposition. These are worthwhile skills in their own right.

I finally binged The Orville, it was time well spent, especially seasons 2 and 3! So high on Star Trek nostalgia right now 😅