AWS User Group Vienna
The AWS user group I have organised in Vienna since 2018. Twice I was on the programme myself, and those two sessions are what this page is about.
On the programme
Optimizing Cloud Infrastructure Costs: The Power of Infrastructure as Code
2023 · Vienna
Meetup #30. Using IaC to automate and streamline resource management as a way of holding down rising cloud infrastructure costs.
- Slides coming soon
- Have me give this talk
AI based process optimization in Re-Commerce
2022 · Vienna
Meetup #22. How AWS AI services and ML platforms handle image classification, from no-code services through to SageMaker.
- Slides coming soon
- Have me give this talk
Ten years of the group itself
Open the original post on LinkedIn
Dmytro Hlotenko, who leads the Vienna user group with me, marking ten years of AWS User Group Vienna. Shown here as the original LinkedIn post, not a copy.
The services doing the work
Read off the slides, not guessed. Each card says what that service did in this build, and links to the page explaining the capability and how to run it somewhere else.
AWS CloudFormation
The infrastructure as code itself: resources described in a template rather than clicked together in the console.
AWS CodeCommit
Version control for the templates, which is what turns a change into something you can review and roll back.
AWS CodeBuild
Builds and validates on every commit.
AWS CodeDeploy
Deploys through the pipeline, so the console is no longer the way changes reach production.
Amazon CloudWatch
Logging and monitoring, so an issue is visible before someone reports it.
AWS CloudTrail
The record of who changed what.
AWS Config
Watches the configuration for drift away from the template.
AWS X-Ray
Traces a request through the pieces when something is slow.
Amazon Rekognition
Object detection on second-hand clothing photos, then Custom Labels for the categories the ready-made model does not know.
Amazon SageMaker Ground Truth
Labels the training data without building a labelling tool first.
Amazon SageMaker
Training, and the Jupyter and Studio environment the model was built in.
AWS Lambda
Triggers the labelling run when a new photo arrives. No servers and no user interface anywhere in the build.
Amazon S3
Holds the photographs and everything derived from them.
Amazon Athena
Queries the results straight out of S3.
The longer write-ups
Where the builds behind these sessions are explained properly.
What is an AWS Community Day?
The longer write-up: the build, the services and what it costs to run.
10 Years of AWS User Group Vienna
The longer write-up: the build, the services and what it costs to run.
Where all of this comes from
Every claim on this page traces back to the deck, the recap or the event’s own site.
- the group on Meetup, the event’s own site
- What is an AWS Community Day?
- 10 Years of AWS User Group Vienna
Everything here is free to read, use and share. No email needed for the slides. If you reuse something, please credit the source.
This page mirrors the talk page on lindamohamed.com, where it was first published.