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Mono-Repo vs One-Per-Service

With AWS Lambda, we can deploy and scale individual functions. However, we as engineers still like to think in terms of services and maintain a mapping between business capabilities and service boundaries. The service level abstraction makes it easier for us to reason about large systems. As such, cohesive functions that work together to serve a business feature are grouped together and deployed as a unit (i.e. a service) through CloudFormation.

Web Frameworks Implication for Serverless Cold Starts

In the world of web applications, Web Frameworks (WF) existed for a very long time. Traditional WF existed in a world without the notion of microservices, let alone the notion of serverless. Many first-time serverless users use WF to ease the transition into the ecosystem, sometimes unaware of its effect on the performance. The following post focuses on potential cold start issues when using WF in the NodeJS ecosystem.

Lambda Deployment Frameworks Compared

With AWS Lambda, deploying a new version of our application has never been simpler. However, we still need to take care of some underlying plumbing. Such as managing the configuration for our functions as well as other related resources such as API Gateway, CloudWatch log groups and IAM policies. Depending on the event sources you would like to use, you also need to provision the necessary EventSourceMapping in order to use Lambda with the likes of Kinesis Streams and SQS.