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AWS Lambda Powertools for Python is now GA We're now GA with four utilities
Core: Tracer, Logger, and MetricsBring your own middlewareCore contributors: @Tom_McC @NMoutschen
More details in this
#serverless #aws #python
https://github.com/awslabs/aws-lambda-powertools-python/releases/tag/v1.0.0
Last year I was fortunate enough to speak at re:Invent about Serverless Architectural Patterns and Best Practices
That preceded the work we've been doing with the AWS Well-Architected Serverless Lens since 201, however there was to it than patterns.. https://www.youtube.com/watch?reload=9&v=9IYpGTS7Jy0
That preceded the work we've been doing with the AWS Well-Architected Serverless Lens since 201, however there was to it than patterns.. https://www.youtube.com/watch?reload=9&v=9IYpGTS7Jy0
At the end of the session, after lots of water, if you watched ;), I talked briefly that Patterns are important to understand what worked well but we shouldn't hang to it as the ultimate truth
That was the hook for the Serverless Lens that came later https://aws.amazon.com/blogs/aws/new-serverless-lens-in-aws-well-architected-tool/
That was the hook for the Serverless Lens that came later https://aws.amazon.com/blogs/aws/new-serverless-lens-in-aws-well-architected-tool/
What I also mentioned was that some of those best practices shouldn't be that hard, and it's on us to make that easier - Both in finding and adopting them.
And finalized by going through the initial version of the Powertools that's now GA https://github.com/aws-samples/aws-lambda-powertools/
And finalized by going through the initial version of the Powertools that's now GA https://github.com/aws-samples/aws-lambda-powertools/
The first utility that came out was Tracer.
A thin abstraction of AWS X-Ray SDK that would encapsulate some common practices
1. Add a Cold start annotation
2. Capture both sync and async methods
3. Add function return and exceptions as metadata
https://awslabs.github.io/aws-lambda-powertools-python/core/tracer/
A thin abstraction of AWS X-Ray SDK that would encapsulate some common practices
1. Add a Cold start annotation
2. Capture both sync and async methods
3. Add function return and exceptions as metadata
https://awslabs.github.io/aws-lambda-powertools-python/core/tracer/
The second utility that came out was Logger.
There's a lot of setup to get a good structured logging for Python functions - Well, there was
Logger also handles cold start as a key, appending additional keys, logging structured exceptions, sampling etc.
https://awslabs.github.io/aws-lambda-powertools-python/core/logger/
There's a lot of setup to get a good structured logging for Python functions - Well, there was
Logger also handles cold start as a key, appending additional keys, logging structured exceptions, sampling etc.
https://awslabs.github.io/aws-lambda-powertools-python/core/logger/
The third utility that came out was Metrics.
Creating metrics asynchronously wasn't an easy task until CloudWatch Embedded Metric Format came out.
We took that, and made it easier to use, capture cold start, and validation against common mistakes.
https://awslabs.github.io/aws-lambda-powertools-python/core/metrics/
Creating metrics asynchronously wasn't an easy task until CloudWatch Embedded Metric Format came out.
We took that, and made it easier to use, capture cold start, and validation against common mistakes.
https://awslabs.github.io/aws-lambda-powertools-python/core/metrics/
Then we thought - If we continue this way, we will have 50 decorators...
The fourth utility that came out was the Middleware Factory.
That gives you flexibility to create things your way, and if you want, we can trace the execution of that for you with no effort
The fourth utility that came out was the Middleware Factory.
That gives you flexibility to create things your way, and if you want, we can trace the execution of that for you with no effort
Before we decided to go GA, we knew this was going to grow, so we thought --- We need to learn from OSS folks
For that we created a GA Checklist, where we also documented all open source repo management automation that I learned by asking many of you https://github.com/awslabs/aws-lambda-powertools-python/issues/33
For that we created a GA Checklist, where we also documented all open source repo management automation that I learned by asking many of you https://github.com/awslabs/aws-lambda-powertools-python/issues/33
When we thought this was good to go for GA, we've had some great folks like @keithrozario @pcolazurdo @michabahr @2Obelisk2 and others "What about X utility"
That triggered this discussion in which you can partake <3 https://github.com/awslabs/aws-lambda-powertools-python/issues/30
That triggered this discussion in which you can partake <3 https://github.com/awslabs/aws-lambda-powertools-python/issues/30
Last but not least, it's still Day one.
There's tons I wish we had included before GA, but we'd like to hear from you in that RFC what would make your Serverless dev life easier....
and obviously the inevitable question
What other runtime you'd like this to be?
Thank you <3
There's tons I wish we had included before GA, but we'd like to hear from you in that RFC what would make your Serverless dev life easier....
and obviously the inevitable question
What other runtime you'd like this to be?
Thank you <3
