⏰ 17:30: Doors open

⏰ 18:00: Welcome - Graham Polley, Thomas Hug, Filippo Broggini, and Marcin Orlinski (organisers)

⏰ 18:05: Talk 1: Scalable GCP by designing your landing zone, and the synergy of platform engineering, reliability engineering and DevOps - Joran Fonjallaz, Alpian

⏰ 18:35: Talk 2: Goodbye, deployment headaches: Cloud Deploy and Vertex AI unite - Riccardo Carlesso, Google

⏰ 19:05: Apéro - sponsored by Google Cloud, DoiT & Zencore

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Speaker form: https://docs.google.com/forms/d/e/1FAIpQLSeUUqeMrb6KD1zanhJ8ve5ZB-v7Z-VRHkxWVjA0NUwLyWavLg/viewform

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Title: Scalable GCP by designing your landing zone, and the synergy of platform engineering, reliability engineering and DevOps

Speaker: Joran Fonjallaz, Alpian

Description: GCP makes it very easy to get started. Any engineer at a startup can spin up complex resources (load balancers, GKE clusters, etc.) with just a few clicks. However, that quick start often comes at a high price later down the road. As a startup grows, it will need a scalable cloud foundation (landing zone). This talk presents the concept of a landing zone, its key design points, the advantages of implementing it as code, and the role of platform engineers, reliability engineers (or SRE) and software engineers (developers following DevOps principles).

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Title: Goodbye, deployment headaches: Cloud Deploy and Vertex AI unite

Speaker: Riccardo Carlesso, Google

Description: Continuous Deployment can be a roadblock in the MLOps lifecycle, often requiring custom pipelines and complex configurations. Solution? The new integrations of Google Cloud Deploy and Vertex AI revolutionizes machine learning (ML) deployment by automating the entire process, and makes it easy to roll back through idempotent releases. The groundbreaking integration of Cloud Deploy and Vertex AI lets you test, validate, and deploy your ML models in minutes, without writing a single line of code.

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Hosted By

Graham Polley, Organizer

Thomas Hug, Organizer

Filippo Broggini, Organizer

Marcin Orlinski, Organizer