AWS Lambda has been leading the way in serverless and cloud computing in recent years. So it comes as no surprise that major companies are making the switch to serverless architecture to shorten the time it takes in bringing their products to market and decreased operational costs,
Apache Airflow is a platform that is used to programmatically authoring, scheduling, and monitoring workflows. It is completely open-source and is especially useful in architecting complex data pipelines.
With the evolution of technology from mainframe computers to personal computers and cloud computing, the one thing that is constant is the need to make technology more efficient, convenient and affordable.
A serverless cloud computing execution model is one where the cloud provider dynamically manages the provision and allocation of servers. When you want to build an app, your development structure is broken down into two major parts. The first part includes general expectations for the running of the app, this is what AWS calls the “undifferentiated heavy lifting” generally found in every app and usually common from one to the other and includes things like setting up and running the servers where you deploy the app or running your CD tools.
