The 2 Billion Mistake That Made Amazon Invent Serverless By Call it a headline, a legend, or a convenient metaphor: the “$2 billion mistake” is the way people in the business press (and some exhausted cloud accountants) describe a single structural. Great video summarizing the lessons learned by amazon prime who saved 90% on their web services by moving some video processing away from a serverless approach.
Intel S 1 Billion Mistake Techovedas Amazon prime video released an article explaining how they saved 90% on cloud computing costs by switching from microservices to a monolith. let's examine the details of their software. When amazon web services inc. launched lambda 10 years ago, it was a bold experiment that would go on to reshape the cloud computing landscape. Amazon prime video released an article explaining how they saved 90% on cloud computing costs by switching from microservices to a monolith. fireship examines the details of their software architecture and find out why serverless was a bad choice. This video discusses the controversial claim that serverless computing is 'the biggest lie in the history of computers.' it explores amazon prime video's recent revelation about saving 90% on their aws bill by switching from serverless microservices to a monolith architecture.
Aws Re Invent 2025 Amazon Announces Nova 2 Trainium3 Frontier Agents Amazon prime video released an article explaining how they saved 90% on cloud computing costs by switching from microservices to a monolith. fireship examines the details of their software architecture and find out why serverless was a bad choice. This video discusses the controversial claim that serverless computing is 'the biggest lie in the history of computers.' it explores amazon prime video's recent revelation about saving 90% on their aws bill by switching from serverless microservices to a monolith architecture. When we launched serverless computing 10 years ago, our vision was a future where all the code you write is purely business logic. see how we have evolved and innovated since the original press releases for aws lambda and amazon ecs. Bad design decisions can have negative effect no matter what infrastructure you chose. the amazon article explaining why it wasn't working for them was linked in the first paragraph. tl;dr: moving data around the network is expensive. doing stuff in memory is faster. Recent product launches are using this “serverless” branding, but have costs associated with them even when the services are not in use. in my opinion, this is unacceptable and blatant abuse of what the term serverless implies. However, the current serverless landscape was introduced in the cloud context in 2014 at an aws re:invent event. since then, numerous industrial, academic, and cloud providers have released serverless solutions. let's take a closer look at serverless development chronologically.
Amazon Made An 80 000 000 Mistake That Saw Six Years Of Work Come To When we launched serverless computing 10 years ago, our vision was a future where all the code you write is purely business logic. see how we have evolved and innovated since the original press releases for aws lambda and amazon ecs. Bad design decisions can have negative effect no matter what infrastructure you chose. the amazon article explaining why it wasn't working for them was linked in the first paragraph. tl;dr: moving data around the network is expensive. doing stuff in memory is faster. Recent product launches are using this “serverless” branding, but have costs associated with them even when the services are not in use. in my opinion, this is unacceptable and blatant abuse of what the term serverless implies. However, the current serverless landscape was introduced in the cloud context in 2014 at an aws re:invent event. since then, numerous industrial, academic, and cloud providers have released serverless solutions. let's take a closer look at serverless development chronologically.