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Welcome to ServerlessToronto.org
1
Intro to Vertex AI
Serverless Evolution (since FaaS started)
2
Serverless is New Agile & Mindset
#1 We started as Back-
end FaaS (Serverless)
Developers who enjoyed
“gluing” other people’s
APIs and Managed
Services)
#3 We're obsessed by
creating business value
(meaningful MVPs,
Products), focusing on
Outcomes – NOT
Outputs, and we mesh
well with Product
Managers
#2 We build bridges
between Serverless
Community (“Dev leg”),
and Front-end, Voice-First
& UX folks (“UX leg”)
#4 Achieve agility NOT
by “sprinting” faster
(like in Scrum), but
working smarter (by
using bigger building
blocks and less Ops)
Disconnect between IT & Business needs
3
How to help companies accelerate?
Technology is not the point => We are here to create Value
Adopting Serverless Mindset allowed us to shift the focus from “pimping
up our cars” (infrastructure/code), towards “driving” (the business) forward.
≠
Let’s bridge the Businesses & IT Gap by:
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1. Introducing new Serverless &
Managed Services (to add to
your Tool Kit),
2. covering Business-focused
topics (to bring fresh
perspectives, new viewpoints)
3. offering free Second
Opinions on Application/Data
Architecture modernization (to
Businesses),
4. offering for-fee Consulting
service (regardless of how
short they are).
Fill the survey to Start the Conversation or
to Help us serve you better:
https://forms.gle/oH2ZTnSgMTH41xsg7
Upcoming ServerlessToronto.org Meetups
5
1) An Evening with Felipe Hoffa
– Big Data guru from
Snowflake
2) James Beswick's AWS
re:Invent 2021 Recap... and
more
3) Retail Analytics & Business
Intelligence with Looker,
BigQuery and GCP – Leigha
Jarett YOUR “This is my Architecture” style presentations are welcome!
Regardless how big or small your learning & sharing will be ☺
Please rate us on Meetup & tell others about #ServerlessTO UG
Knowledge Sponsor
1. Go to www.manning.com
2. Select *any* e-Book, Video course, or liveProject you want!
3. Add it to your shopping cart (no more than 1 item in the cart)
4. Raffle winners will send me the emails (used in Manning portal),
5. So the publisher can move it to your Dashboard – as if purchased.
Fill the survey to win!
7
Feature Presentation
Jarek Kazmierczak & Brian Kang
from Google
Proprietary + Confidential
Brian Kang
Jarek Kazmierczak
Vertex AI
Vertex AI is a unified
development and deployment
platform for data science and
machine learning.
2
ML System Lifecycle
Proprietary + Confidential
MLOps:
high-level workflow
Proprietary + Confidential
Core MLOps Technical Capabilities
Deep Learning Environment (DL VM + DL Container)
Data
Readiness
Feature
Engineering
Training/
HP-Tuning
Model
Monitoring
Model
serving
Understanding/
Tuning
Edge
Model
Management
Workbench
no-code/
low code
workflow
Custom
development
workflow
Infrastructure
services /
Add-ons
One comprehensive end to end platform for everything AI
One unified experience to
create, deploy, and manage
models over time, at scale
Tools for all levels of
expertise
Accuracy and fairness of
predictions and resulting
decisions
Flexible and secure
AutoML
Vision Translation Tables
Language
Video
Data
Labeling
Prediction
Feature
Store
Training
Experiments
Pipelines (Orchestration)
Explainable AI
Hybrid AI
Continuous
Monitoring
Metadata
AI
Accelerators
Vizier
Optimization
Datasets
Forecast Bigquery ML
MLOps on Vertex AI
Trained model
Pipeline
components
Container Registry
Code Repository
Cloud Source Repo
Code & configs
Pipeline artifacts
CI/CD
Cloud Build
Experimentation
and development
Workbench
CT pipeline
Vertex Pipelines
Enterprise Features
Vertex Feature Store
Experiment Mngmt
Vertex Experiments
ML metadata
Vertex Metadata
Deployed Model
Vertex Prediction
Alert & Trigger
Model Monitoring
Model Registry CI/CD
Cloud Build
ML Datasets
Vertex Datasets
Thank you
Proprietary + Confidential
What customers and Googlers like about Vertex
Services are similar
Runs on containers,
code often packages
as containers, similar
methods to
create/delete
Integrations
Well integrated with
Cloud Storage,
BigQuery
Workbench
Fully managed / user
managed notebooks
w/ prebuilt libraries
and frameworks
Scalable
Fully managed
services that scale and
have access to GPUs
and TPUs
SDK
Nearly everything
can be written as
code
Preview
Proprietary + Confidential
Workbench
Local model development
1
Distributed training
2
Integrating w/ CI/CD pipelines for continuous training
3
Vertex Pipelines
4
5
6 Model monitoring
Demo agenda
Join www.ServerlessToronto.org
Home of “Less IT Mess”