Pravin PillaiBig Data Go To Market Lead

Google Cloud SQLMySQL in the Cloud

Agenda Slide

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02

03

04

Google Cloud Platform Overview

Introduction to Google Cloud SQL

Cloud SQL Demo

Best practices

01 Google Cloud Platform Build What’s Next

Organize the world’s information and make it universally accessible and useful.

Google’s Mission

4

“

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Data is Everything.

Confidential & ProprietaryGoogle Cloud Platform 5

Companies win or lose based on how they use it.

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Now

1st WaveColocation

2nd WaveVirtualized

Datacenters

User Managed, User Configured, User Maintained

Next

Elastic ServicesAuto Everything

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Complexities of Big Data ProcessingProgramming

Resource provisioning

Performance tuning

Monitoring

ReliabilityDeployment & configuration

Handling growing scale

Utilization improvements

Time to Understanding

Typical Big Data Processing

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Spend Time on ‘What’ not ‘How’

Time to Understanding

Big Data Processing with Google Cloud Platform

Programming

More time to dig into your data

1 Billion Users

Google Cloud Platform 10

FoundationInfrastructure & Operations

Data Services

Application Runtime Services

Enabling No-Touch Operations

Breakthrough Insights, Breakthrough Applications

The Gear that Powers Google

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15+ Years of Tackling Big Data Problems

Google Papers

20082002 2004 2006 2010 2012 2014 2015

GFS MapReduce

Flume Java

OpenSource

2005

GoogleCloudProducts

BigTable Dremel PubSub Millwheel TensorflowSpanner

2016

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10+ Years of Tackling Big Data Problems

Google Papers

20082002 2004 2006 2010 2012 2014 2015

GFS MapReduce

Flume Java

OpenSource

2005

GoogleCloudProducts

BigTable Dremel PubSub Millwheel TensorflowSpanner

2016

Confidential & ProprietaryGoogle Cloud Platform 13

10+ Years of Tackling Big Data Problems

Google Papers

20082002 2004 2006 2010 2012 2014 2015

GFS MapReduce

Flume Java

OpenSource

2005

GoogleCloudProducts BigQuery Pub/Sub Dataflow Bigtable

BigTable Dremel PubSub Millwheel TensorflowSpanner

ML

2016

Spanner

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Google Cloud Data Platform

Exploration & CollaborationDatabases Storage

Data Processing &

IngestionAnalytics

Advanced Analytics & Intelligence

Mobile apps

Sensors and devices

Web apps

Developers

Data scientists

Business analystsCloud SQL

Cloud Bigtable

Cloud Datastore Cloud Storage

Cloud Dataflow

Cloud Pub/Sub

Cloud Dataproc

Google BigQuery

Cloud Datalab

Google Analytics 360

Google BigQuery

Cloud Machine Learning

Translate API

Vision API

Speech API

Google Analytics 360

Cloud Dataproc

Google Drive

02 Google Cloud SQL MySQL in the Cloud

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Google Cloud SQL

A fully-managed database service that makes is easy to set-up, maintain, manage, and administer your relational MySQL databases in the cloud.

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Self Hosted Databases

Power, HVAC, net

Rack & Stack

Server Maintenance

OS Installation

OS Patches

DB s/w installs

DB s/w patches

Database backups

High Availability

Scaling

App Optimization

Your responsibilities range from infrastructure set up to database and application optimization

Would you rather spend time on delighting your customers or managing servers?

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Fully Managed Database Service

Power, HVAC, net

Rack & Stack

Server Maintenance

OS Installation

OS Patches

DB s/w installs

DB s/w patches

Database backups

High Availability

Scaling

App Optimization

Focus on your application Google Cloud SQL

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“We do not have IT people at all. We actually have zero systems in IT and zero administrators who manage servers in Cloud SQL”

- Mani Doraisamy, Co-Founder and CTO, OrangeScope

Key Benefits of Cloud SQL

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● Cloud SQL offers standard MySQL databases (5.6 and 5.7).

● Easily port existing applications to use Google Cloud SQL

● Use standard connection drivers and built-in migration tools to get started quickly.

MySQL Compatibility

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● Easy to use with no manual software installation, patches, data backup or maintenance.

● Integrated monitoring and alerts.

● Greater than 99.95% availability

Simple and Fully Managed

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● Designed for performance-intensive workloads.

● Easily scale up to 16 processor cores and more than 100GB of RAM.

● Create databases up to 10TB in size.

Performance & Scale

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● Automatic data encryption at rest and in transit.

● User controlled network access with firewall protection.

● Cloud SQL is SSAE 16, ISO 27001, PCI DSS v3.0, and HIPAA compliant.

Security & Compliance

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● Easily create backups and read replicas for your database.

● Automatic failover ensures your database will be available when you need it.

● Available point-in-time recovery.

Reliability & Availability

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● Easily connect from App Engine, Compute Engine, or your workstation.

● Manage your Cloud SQL databases through the GCP Console, Command Line Tool, or APIs.

● Integrated monitoring and metrics

Full Integration

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● Leverage GCP partners○ streamline data loading○ simplify migration○ create rich visualizations○ monitor or manage your databases.

Partnerships

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● No Lock-in or up-front commitment!

● Cloud SQL offers you pay-per-minute billing, automatic sustained use discounts.

● Choose from multiple available instance tiers to best match your workload needs.

Pay Per Use

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“We're excited about the flexibility Cloud SQL

brings to support quick development cycles that

foster innovation, while scaling easily when

required.”

- James Donkin, General Manager, Ocado

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Application Use cases Example customer

Websites Corporate websites for internal employees. Public-facing websites. Popular with blog and CMS software, such as Wordpress.

Operational applications

ERP, CRM, eCommerce

SaaS platforms Custom applications targeting specific workflows or verticals

Business intelligence Ad-hoc queries, report, and chart creation using tools, such as Tableau

Sample Cloud SQL Customers

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Google Cloud SQL Recent Launches

HDD Support

Storage auto-grow

Point in time recovery

On demand backups

SLA September: General Availability

Demo: Setting up and managing databases using Google Cloud SQL

04 Best Practices

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Scale your database for performance

Scale your database IOPS by adjusting VM types and Persistent Disk volumes

● Scale up to 15,000 IOPS● Use the built-in IOPS calculator in the Cloud SQL

console to determine available IOPS for different VM types and Persistent Disk combinations

Pro Tip: Storage scaling requires no downtime of your Cloud SQL database. Adjust your Persistent Disk setting to increase storage and available IOPS without impacting your database availability.

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Configure High Availability

● Configure Master node● Configure Slave node● Set up users and access control● Create data snapshot● Set up replication with new master and slave nodes● Set up replication of existing data● Set up master configuration on the slave node to

prepare for fail over● …● …● ...

Do it yourself High Availability on Cloud SQL

Pro Tip: Create failover replicas for production databases. Failover replicas are billed as a separate instance.

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Use Read Replicas

Use Read Replicas to offload read operations from the master database instance.

● Reduce read capacity for applications dominated by reads

● Offload analytics and prevent interference with transactional database

● Simplify migration path to external MySQL database instances

Pro Tip: Failover replica acts as a Read Replica.

Master Replica

App Server

Reads/Writes

Reads

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Manage Maintenance Windows

● Choose Maintenance windows that fit your application usage scenarios. Instance will automatically shut down and restart during maintenance window to apply updates.

● Use Release Channels to classify non-production vs. production database instances.

Pro Tip: Assign non-production instances to “Preview” channel to test updates before rolling them out to production instances which are assigned to “Production” channel.

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Try Google Cloud SQL for Free

Google Cloud Platform Free Trial

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