Google Cloud OnBoard 2017 Taipei

Google Cloud OnBoard 2017 Taipei

Google Cloud Platform

Per minute billing
Sustain pricing: 25% 自動提供折扣 (20% each 25% usage)
Compute Engine: customize CPU and memory (add more memory)
Committed discount (1 year or 3 year)
CloudNative use cases
Free trial 300 USD (1 year valid)

IAM

Google Account / Service Account / Google Groups / G suites accounts
Organization?

App Engine

Similar to AWS BeansTalk or AWS Container Service
Cloud Shell / edit / preview (Very nice integration with browser!!)
Standard environment / Flexible environment (provides ssh)
PaaS, auto scale, container
Eclipse wizard integration

Cloud Datastore

Similar to AWS DynamoDB?
Encryption / Sharding / Replication
NoSQL
Auto scaling

Billing

Free 28 instance hour? / cost calculator

Cloud Storage

Similar with AWS S3 (bucket / region / storage type by access frequency)
< 5TB
BLOB
GB / per month (granular: minute)
Multi Regional 0.026, Regional Nearline(1 time / month)0.01, Coldline (1 time / year) 0.007

Bigtable

High loading read/write
Cloud Dataflow, Dataproc (Hadoop) integration
SunGard, Gmail, Google analytics

Cloud SQL

Similar with AWS RDS
MySQL 5.5 / 5.6, PostgreSQL (beta)
Cloud Spanner
Horizontally scalable
ACID and SQL queries, High Availability

GKE: Container Engine

Kubernetes
Auto scaling / deployment modes (Blue/Green, Rolling Update)
kubctl scale / LB / expose …

Compute Engine

Similar to AWS EC2 but with additional customization and charging features...
Preemptible instance (AWS spot instance?)
Add template, group then add group to LB
Why keep mentioning pre-warm?

Google Stackdriver

Monitor / Trace / Logging / Report / Debugger
Fluentd

Lifecycle of Machine Learning model

Hosted TensorFlow service (!! AWS ML not provide offline SDK or framework for development)
Import / Export model (!! AWS ML not support this)
Fasten training time. (with GPU)
Data analyze -> clean up
Model might not fit the target (Asia 用餐時間 PM7 / 中東 PM9)
Linear Regression. Python Pandas, BQ/TnsorFlow => Predict Taxi demand from whether
Convolutional Neural Network => Handwriting Recognization

BigQuery

Datawarehouse for Analytics
Very interesting use case that SQL like query and see results on the fly (query duration)

Datalab

For data scientist
Very interesting use case!, Wiki style document / run python (panda) and plot chart
Average / RMSE
Exploratory plot (whether and taxi trip count)
CNN => signature
3 demos
Classification => drawing
Prediction => Whether and taxi trips
Convolution Neural Network => Handwriting reconization

Summary

Very similar with part of AWS services, but AWS has more complete coverage and use cases.
Machine Learning allow export model and based on open source TensorFlow framework
Billing is more flexible than AWS
Seems more emphasis on container use cases
Some special database storage, such as Cloud Spanner and BigTable, BigQuery....
The browser integration and UX is quite geek and interesting. (Datalab / BigQuery / Cloud Shell / Cloud Preview / In browser edit ...etc...)

References

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