🎤 Talks 🎤

Secure communication between serverless compute products on GCP (Guillaume Blaquiere)

Guillaume is a Google Developer Expert on Cloud Platform since 2019 and works at Carrefour as Group Data Architect.

Java developer for more than 15 years, and despite positions of responsibilities, he has always kept his wish to create, develop, discover and test new solutions, especially in the Cloud, the machine learning or Python and Go language.

Innovation addict and Google Cloud 3x certified, writer and speaker in his free time, he's fascinated by the serverless solution and all the "usual" problems that it solves.

More generally, he likes helping people stuck on Google Cloud; you can find him on Stack Overflow (guillaume-blaquiere), Medium (@guillaume blaquiere) and Twitter (@gblaquiere).

The talk:

Security is a common challenge for everyone. Standard and robust patterns exist and are known in traditional infrastructure. However, the serverless change the game and imply a false feeling of losing control, especially in the security part.

This session is focused on all the ways to secure the communication to and from serverless compute products on Google Cloud. The OAuth2 token generation and the difference of usage between access token and identity token, IAM service and the service/user accounts, VPC access and private networks access, load balancers, ingress and egress control will no longer have mysteries for you at the end of the session!

How to Build a fully automated Recommendation Engine Pipeline with BigQuery ML and Vertex AI Pipelines (Sascha Heyer)

Sascha is a Senior Machine Learning Engineer and Founder of IO Annotator, an AI annotation platform. Based in Berlin, he works for DoiT International, a remote-first company. He's spent the last 10 years helping big and small companies get their projects off the ground. Things are simple until you make them complicated.

You can find him on Medium (@saschaheyer) and Twitter (@saschaheyer).

The talk:
Sascha will showcase how to leverage Google Cloud technologies to build and automate recommendation engine pipelines, using the cutting edge managed services such as BigQuery ML which is a service that lets you create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by letting SQL practitioners build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data. Vertex AI Pipelines helps you to automate, monitor, and govern your ML systems by orchestrating your ML workflow in a serverless manner, and storing your workflow's artifacts using Vertex ML Metadata. By storing the artifacts of your ML workflow in Vertex ML Metadata, you can analyze the lineage of your workflow's artifacts — for example, an ML model's lineage may include the training data, hyperparameters, and code that were used to create the model.

Some important details

This event will also be available live via Google Meets, for those of us who would like to join virtually. The meet link will be posted in the comments section on the day of the event.

Those coming in-person will need to RSVP and register upon entry (a requirement of our venue)

Disclaimer: We are an independent community-led meetup and not a part of Google in any way other than that they provide us food/drink/venue sponsorship and swag.