Serverless
Serverless computing is a cloud-computing execution model in which the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity. It is a form of utility computing.
Serverless computing still requires servers, hence it's a misnomer. The name "serverless computing" is used because the server management and capacity planning decisions are completely hidden from the developer or operator. Serverless code can be used in conjunction with code deployed in traditional styles, such as microservices. Alternatively, applications can be written to be purely serverless and use no provisioned servers at all.
Source: https://en.wikipedia.org/wiki/Serverless_computing
Presentations
The State of Serverless Computing
Serverless computing has become increasingly popular since Amazon released AWS Lambda in 2014. Its appeal lies in the ability to write arbitrary code and deploy it at scale with the “click of a button”, in some sense realizing the original promise of cloud computing. While existing...
Building and Operating a Serverless Data Pipeline
At Intent our machine learning platform processes real-time and historical data to predict user intent on billions of page views a month. At the heart of this system is a serverless data pipeline that allows us to gather, process, store, and analyze data from disparate data sources....
The Not-So-Straightforward Road From Microservices to Serverless
For the last ten years or so, many companies have focused on migrating from larger, monolithic systems and applications towards a specific style of Service-Oriented Architecture called Microservices. The promise was that these smaller, loosely-coupled, and independently developed components would...
Interviews
The State of Serverless Computing
What is the focus of your work today?
I am a PhD student at RISELab at UC Berkeley. My research interest is in distributed systems and database field. In the past couple of years I worked on developing a key-value store called Anna. That's a fast and auto-scaling key-value store. It provides a wide variety of consistency guarantees to the applications. Now our team are...
Read Full InterviewBuilding and Operating a Serverless Data Pipeline
What is the focus of your work these days?
I'm the lead of the data platform team at Intent. Intent is a data science company that helps commerce sites maximize the value for each person who visits their site. Our main product is an ad network that runs on travel sites. On the data platform team we oversee our data pipeline, that collects data from ad servers and various...
Read Full Interview