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Building What's Next

Nacho ColomaSolution Engineer for Google Cloud Platform@nachocoloma

Google was founded on a revolutionary approach to the web — with data centers and software designed to power the massive scale of Internet searches and other services.

Google Cloud Platform operates on this same innovative infrastructure.

This makes Google Cloud Platform the only cloud provider who can truly claim to help developers “Build What’s Next.”

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We’ve always built what’s next.

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The Hybrid Cloud

Kubernetes and Containers

Third Gen Cloud

Wrap-Up: Q & A - Chromecast contest

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The hybrid cloud

Leverage existing investment in private cloudKeep core componentsPhased migrationsHigh availabilityBurst scenarios

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Cloud Computing Patterns

Unpredictable Bursting Predictable Bursting

• Services with micro seasonality trends

• Peaks due to periodic increased demand

• IT complexity and wasted capacity

• Unexpected/unplanned peak in demand

• Sudden spike impacts performance

• Can’t over provision for extreme cases

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Autoscaling: start fast with Google Cloud Platform

Consistent performance: ● 43s to launch a VM● 1000 VMs < 5 minutes● 99% of pods start in < 5s with

Kubernetes

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Autoscaling: stopping VMs every day

● Billing by minute● No up-front payment● Sustained use discount● VM rightsizing

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VM Rightsizing

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Uploading / downloading files through your servers

NFS server

GlusterFS

GCS

Mounted PD

Web server

Container Engine

https://cloud.google.com/solutions/filers-on-compute-engine

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Uploading / downloading files directly from GCS

GCS

Web server

Container Engine

https://cloud.google.com/storage/docs/access-control/signed-urls

HTTP requests

Upload/download files

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Four Storage Classes

Coldline

Cold99% SLA

Milliseconds

ArchiveSource file backupDisaster recovery

Nearline

Infrequent access99% SLA

Milliseconds

BackupLong-tail content

Rarely accessed docs

Regional

Regional99.9% SLA

Milliseconds

TranscodingData Analytics

General compute

Multi-Regional

Geo-redundant99.95% SLAMilliseconds

VideoMultimedia

Business continuity

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Our network

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Load Balancing GFEs placed in 50+ of these POPs Close to Users Across the Globe

70+ networking POPs across 33 countries

Google’s Global Network

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Google Front End

GFE VMTCP Session-2

Backend instance

VM

TCP Session-1

TCP Session-2

Backend instance

Google’s high quality global networkInternet Load

Balancing

TCP Session-1

ISP

LB

Unpredictable user experience Low latency and great user experience

Providernetwork

Load Balancing

Traditional Cloud Load Balancing Google Cloud Global Load Balancing

Current regions and number of zones

Points of presence

Network path

Committed regions for 2017 and number of zones

#

# https://peering.google.comhttps://cloud.google.com/compute/docs/regions-zones/regions-zones

Google Cloud Network

2

3

Singapore2

S Carolina

N Virginia

BelgiumLondon

Tokyo (2016)

TaiwanMumbai

Sydney

Oregon

Iowa

Frankfurt

São Paulo

Finland

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3

33

3

3

2

43

3

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Connect to your Data Center

● Direct Peering● Carrier Interconnect● Cloud VPN + Routing

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Network interconnects

Google NetworkYour Network

Direct peering

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Your Network Google Network

private network interconnects

WAN Connections

Service Provider

Carrier Interconnect

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Kubernetesand Containers

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Hosting Kubernetes

PaaS hosting for KubernetesOnline, Enterprise or DedicatedManaged by Red Hat or hosted by yourself

IaaS hosting for KubernetesManaged by GoogleScale with a click

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Multi-zone clusters

● Deploy up to 2,000 nodes and 60k pods per cluster● Multi-zone HA working out of the box (inside the

same region)● Use NodePools for heterogeneous clusters● Use label affinity to deploy on a given zone

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Multi-region and multi-cloud: Kubernetes Cluster Federation

Create services, namespaces, Replica Sets and secrets across multiple clusters (multi-region, multi-cloud or hybrid)

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Managed ServicesThe third generation of Cloud

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Platform, system, & application logsLog search/view/filterLogs-based metrics

Latency ReportingPer-URL latency sampling

Error notificationsError dashboard

Production debug snapshotsConditional snapshotsIDE integration

Monitoring

Platform, system, & application metricsUptime/health checksDashboardsAlerts

Logging Debugger

Error ReportingTrace

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StackDriver Error Reporting

Identify application errors and understand root causes faster.

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Programming

Resource provisioning

Performance tuning

Monitoring

ReliabilityDeployment & configuration

Handling growing scale

Utilization improvements

Typical Big Data Jobs

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Our idea of Big Data

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BigQuery

Zero administration SQL languageData can be loaded in CSV or JSONQuery Petabytes of data in minutes

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Wrap up

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The hybrid cloud has lots of advantages

Leverage existing investment in private cloudKeep core componentsPhased migrationsHigh availabilityBurst scenarios

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Some things are only available in the public cloud

● Some services remove all the hassle of configuration, like StackDriver, DataProc or GKE.

● Some require a huge investment, like the network● Some are constantly being improved, like our ML APIs or GKE (constantly

being upgraded).● Some services just cannot be replicated on premises, like BigQuery.

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Come to our booth!

● Bring your case to our booth, show us how you are planning your hybrid

cloud and win a Chromecast.

● Sign-up for our Kubernetes Workshop or a Free Trial - at the booth or at

https://goo.gl/k81ad8

● And remember to request a demo!

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Thanks.

Nacho ColomaSolution Engineer for Google Cloud Platform@nachocoloma