Amazon Web Services FeedUsing serverless backends to iterate quickly on web apps – part 1 For many organizations, building applications is an iterative process where requirements change quickly. Traditional software architectures can be challenging to adapt to these changes. Often, early architectural decisions may limit the developers’ ability to deliver new features. Serverless architectural patterns…
Amazon Web Services FeedScalable agile development practices based on AWS CodeCommit Development teams use agile development processes based on Git services extensively. AWS provides AWS CodeCommit, a managed, Git protocol-based, secure, and highly available code service. The capabilities of CodeCommit combined with other developer tools, like AWS CodeBuild and AWS CodePipeline, make it easy to…
Amazon Web Services FeedHow Citibot’s chatbot search engine uses AI to find more answers This is a guest blog post by Francisco Zamora and Nicholas Burden at TensorIoT and Bratton Riley at Citibot. In their own words, “TensorIoT is an AWS Advanced Consulting Partner with competencies in IoT, Machine Learning, Industrial IoT and Retail. Founded…
Amazon Web Services FeedWeekly update 47 Hi, welcome to another weekly update! Real-World Serverless podcast Since the last update, we have 4 new episodes for you: #21: From K8 to Serverless at Wealth Wizards #22: Real-World Serverless with Gojko Adzic #23: Serverless at Alma Media with Ari Palo #24: Serverless at Stedi with Zack Kanter…
Amazon Web Services FeedIntegrating the MongoDB Cloud with Amazon Kinesis Data Firehose Amazon Kinesis Data Firehose now supports the MongoDB Cloud platform as one of its delivery destinations. This native integration between Kinesis Data Firehose and MongoDB Cloud provides a managed, secure, scalable, and fault-tolerant delivery mechanism for customers into MongoDB Atlas, a global cloud…
Amazon Web Services FeedFolding@home infectious disease research with Spot Instances This post was contributed by Jarman Hauser, Jessie Xie, and Kinnar Kumar Sen. Folding@home (FAH) is a distributed computing project that uses computational modeling to simulate protein structure, stability, and shape (how it folds). These simulations help to advance drug discoveries and cures for diseases linked to protein…