How much time do you think data scientists spend on developing and testing models? Only 10%, according to this post by Google’s Josh Cogan. Most of their time is spent on data collection, building infrastructure, devops and integration. When you finally build a model, how long and complex is the process of delivering it into…
While browsing the CNCF Serverless Slack channel recently, I noticed a message; someone needed help writing a function which processes S3 update events. He didn’t want to use AWS Lambda and alternatively was looking for an open source serverless solution over Kubernetes. I took on the challenge of writing, as a response, a function for…
Watch this video of Yaron Haviv talking about using serverless in Big Data and AI. Yaron spoke at a Meetup which was part of the NYC Database Month series in November 2017:
Serverless computing allows developers to focus on building and running auto-scaling applications without worrying about managing servers, as server provisioning and maintenance are taken care of behind the scenes. Industry demand for instant results has therefore made serverless platforms the new buzz. However, serverless computing has challenges which limit its usability and applicability: Slow performance…