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Journey to the Cloud with Snowflake and AWS Ken Chestnut Amazon Web Services

Journey to the Cloud with Snowflake and AWS · Journey to the Cloud with Snowflake and AWS •Ken Chestnut Amazon Web Services. Cloud Computing Has Become the New Normal ... •Netflix

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Journey to the Cloud with Snowflake and AWS

• KenChestnutAmazonWebServices

CloudComputingHasBecometheNewNormal

Migratingexistingapplicationsas

quicklyaspossible

Deployingnewapplicationstothecloudbydefault

AWSservicesmorethantwomillionactivecustomerseverymonthin190countries.Throughcustomerobsessionandanincreasingpaceofinnovation,

AWSisthefastesttechnologyvendorinhistorytoreacha$10Brunrate.

2/3More than two-thirds of IT budgets go toward keeping the lights on

77%of CEOs believe security risk has increased in the

last few years and 65% believe their risk

management capability is falling behind

15yrsThe average lifespan of an S&P company

dropped from 67 years in the 1920s to 15 years today

Disruptionismucheasiertoday

Thisissomething“borninthecloud”companieshavealreadydiscovered.

Hospitality Trading Insurance DevicesGrocery

Respondingtodisruptionrequiresanewmodel

©2016,AmazonWebServices,Inc.oritsaffiliates.Allrightsreserved

Focus IT on what differentiates your business. Retire technical debt.

Innovate at start-up like speed

Reduce risk

SomeCustomersMigrating

Migrating 1000’s of applications over the next 2 years

Migrated over 6,000 instances in 9 months, reduced storage costs 50%, compute costs 20%, and sped up provisioning by 10x (4 weeks to 2 days).

Migrated 8 of 12 data centers to AWS, improving performance, reliability, and cost.

Migrated 8 of 12 data centers to AWS, improving performance, reliability, and cost.

Consolidating 56 data centers down to 6, moving 75% of infrastructure to cloud in the process, and re-allocating more than $100M toward key business drivers.

WhatSetsAWSApart?

Buildingandmanagingcloudsince2006

90+servicestosupportanycloudworkload;rapidcustomerdrivenreleases

16regions,42availabilityzones,76 edgelocations

Thousandsofpartners;3,800+Marketplaceproducts

Experience:1M+customers

ServiceBreadth&Depth;paceofinnovation

GlobalFootprint

Ecosystem

Fine-grainedcontrolSecurity

FullyintegratedinAWSArtificialIntelligence

GartnerMagicquadrantrecognizingAWSEnterpriseleader

AWSPositionedasaLeaderintheGartnerMagicQuadrantforCloudInfrastructureasaService,Worldwide*

AWSispositionedhighestinexecutionandfurthestinvisionwithintheLeaders

Quadrant

*Gartner,MagicQuadrantforCloudInfrastructureasaService,Worldwide,Leong,Lydia,Petri,Gregor,Gill,Bob,Dorosh,Mike, August32016ThisgraphicwaspublishedbyGartner,Inc.aspartofalargerresearchdocumentandshouldbeevaluatedinthecontextoftheentiredocument.TheGartnerdocumentisavailableuponrequestfromAWS:http://www.gartner.com/doc/reprints?id=1-2G2O5FC&ct=150519&st=sbGartnerdoesnotendorseanyvendor,productorservicedepictedinitsresearchpublications,anddoesnotadvisetechnology userstoselectonlythosevendorswiththehighestratingsorotherdesignation.GartnerresearchpublicationsconsistoftheopinionsofGartner'sresearchorganizationandshouldnotbeconstruedasstatementsoffact.Gartnerdisclaimsallwarranties,expressedorimplied,withrespecttothisresearch,includinganywarrantiesofmerchantabilityorfitnessforaparticularpurpose.

*Asof1June2017

2010

61

516

1,017

159

2012 2014 2016

AWShasbeencontinuallyexpandingitsservicestosupportvirtuallyanycloudworkload,anditnowhasmorethan90servicesthatrangefromcompute,storage,networking,database,analytics,applicationservices,deployment,management,developer,mobile,InternetofThings(IoT),ArtificialIntelligence(AI),security,hybridandenterpriseapplications.AWShaslaunchedatotalof427newfeaturesand/orservicesyeartodate*- foratotalof3,340newfeaturesand/orservicessinceinceptionin2006.

AWS Pace of Innovation

ArtificialIntelligenceAtAmazon (1995)

AmazonAIIntelligentServicesPoweredByDeepLearning

AIApplicationsonAWS• Zillow• Zestimate(usingApacheSpark)• HowardHughesCorp• Leadscoringforluxuryrealestatepurchase

predictions• FINRA• Anomalydetection,sequencematching,

regressionanalysis,network/tribeanalysis• Netflix• Recommendationengine• Pinterest• Imagerecognitionsearch• Fraud.net• Detectonlinepaymentfraud

• DataXu• Leverageautomated&unattendedMLat

largescale(AmazonEMR+Spark)• Mapillary• Computervisionforcrowdsourcedmaps• Hudl• Predictiveanalyticsonsportsplays• Upserve• Restauranttablemgmt&POSforforecasting

customertraffic• TuSimple• ComputerVisionforAutonomousDriving• Clarifai• ComputerVisionAPIs

TheFlywheelforGrowth

Big Data Competency Technology Partners

AWSConfidential

Big Data Competency Consulting Partners

AFlywheelForData

Machine LearningDeep LearningAI

MoreUsers BetterProducts

MoreData BetterAnalytics

Object StorageDatabasesData warehouseStreaming analyticsBIHadoopSpark/PrestoElasticsearch

Click streamUser activityGenerated contentPurchasesClicksLikesSensor data

Generate Collect, Orchestrate, Store Analyze

LowerCostIncreasedVelocity

Traditionally- Highlyconstrained

Traditional Challenges with Analytics

WhyCloud?Customers want to:• Migrate existing on-premises data warehouse and application

workloads• Extend their current data management capabilities to the cloud• Develop new data-driven applications

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Success with Snowflake on AWS600+Customers

ASampleAnalyticsPipeline

Re-platform Re-purchase

LevelofEffort

Re-host Re-architect

FourPathstoMigrationHowOurCustomersThinkAboutMigration

• Thefutureisalreadyhere– itsjustnotevenlydistributed.• WilliamGibson

• Myfathersaidthereweretwokindsofpeopleintheworld:giversandtakers.Thetakersmayeatbetter,butthegiverssleepbetter.

• Marlo Thomas

• Anysufficientlyadvancedtechnologyisindistinguishablefrommagic.• Arthus CClarke

•KenChestnut•AmazonWebServices

[email protected]• @kchestnut