AWS Lambda has a surprise learning curve. You create a new function, write your code, and it executes. Easy, right? Then you discover just how deep the rabbit hole goes. Deluged by so many topics, it’s hard to know where to go next. By Stephen Sennett.
In this post, authors will break down five steps to get you moving along your Lambda journey:
- Improving your code
- Leveraging CI/CD and frameworks
- Easy observability with PowerTools
- Tweaking your deployment
- Function scaling with reserved concurrency
- Cold starts and provisioned concurrency
- Managing changes with versions and aliases
- Tuning your resource configuration
- Architecting for serverless
The learning with Lambda does not stop here. There are still many areas of the service and development to be further explored! You can find answers to almost any problem between the Developers Guide and Operators Guide. AWS has made it truly possible to become an expert at their services by being able to navigate their documentation, and Lambda is no exception. Also there are links included in the article to some awesome videos from AWS re:Invent 2022. Good read!
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