Serverless Architectures
Serverless Architectures
6/30/2016
link
summary
In this blog post, Martin Fowler discusses the concept of serverless computing and its implications for software architecture. He explains that serverless computing allows developers to focus on writing code without worrying about the underlying infrastructure. Fowler discusses the benefits of serverless architecture, such as automatic scaling, reduced costs, and increased development speed. He also addresses some of the challenges and trade-offs that come with serverless, including vendor lock-in and potential performance issues. Fowler concludes by emphasizing the importance of understanding the strengths and limitations of serverless computing in order to make informed decisions about its adoption.
tags
serverless ꞏ cloud computing ꞏ microservices ꞏ architecture ꞏ software development ꞏ scalability ꞏ event-driven ꞏ functions as a service ꞏ aws lambda ꞏ azure functions ꞏ google cloud functions ꞏ serverless computing ꞏ backend development ꞏ front-end development ꞏ cloud-native ꞏ serverless framework ꞏ serverless architecture ꞏ serverless applications ꞏ serverless deployment ꞏ distributed computing ꞏ cloud services ꞏ serverless technology ꞏ infrastructure as code ꞏ event-driven architecture ꞏ serverless platforms ꞏ application development ꞏ serverless benefits ꞏ serverless challenges ꞏ serverless computing models ꞏ serverless patterns ꞏ serverless trends ꞏ serverless ecosystem ꞏ serverless best practices ꞏ cloud providers ꞏ serverless scalability ꞏ serverless security ꞏ serverless performance ꞏ cost optimization ꞏ hybrid cloud ꞏ serverless use cases ꞏ serverless operations ꞏ serverless testing ꞏ serverless monitoring ꞏ serverless debugging ꞏ serverless orchestration ꞏ serverless networking ꞏ serverless storage ꞏ serverless database ꞏ serverless analytics ꞏ serverless functions