Data Center Infrastructure Innovation



Similar documents
Cloud Computing Driving Infrastructure Innovation Intel DCSG Distinguished Speaker Series

Cloud Computing Is Driving Infrastructure Innovation

How AWS Pricing Works May 2015

Scaling in the Cloud with AWS. By: Eli White (CTO & mojolive) eliw.com - mojolive.com

Datacenter Networks Are In My Way

How AWS Pricing Works

Amazon AWS in.net. Presented by: Scott Reed

Amazon Web Services Primer. William Strickland COP 6938 Fall 2012 University of Central Florida

Enterprise Cloud Computing with AWS. for internal partner use only

Amazon Elastic Beanstalk

Scalable Architecture on Amazon AWS Cloud

CLOUD COMPUTING WITH AWS An INTRODUCTION. John Hildebrandt Solutions Architect ANZ

Cloud Computing For Bioinformatics

ColdFusion 10 in the Amazon AWS Cloud. Sven Ramuschkat tecracer GmbH

EEDC. Scalability Study of web apps in AWS. Execution Environments for Distributed Computing

Introduction to Cloud Computing on Amazon Web Services (AWS) with focus on EC2 and S3. Horst Lueck

Preparing Your IT for the Holidays. A quick start guide to take your e-commerce to the Cloud

Amazon Web Services. Elastic Compute Cloud (EC2) and more...

Using ArcGIS for Server in the Amazon Cloud

Agenda. - Introduction to Amazon s Cloud - How ArcGIS users adopt Amazon s Cloud - Why ArcGIS users adopt Amazon s Cloud - Examples

ur skills.com

Scalable Application. Mikalai Alimenkou

Cloud Computing with Amazon Web Services and the DevOps Methodology.

Using ArcGIS for Server in the Amazon Cloud

References. Introduction to Database Systems CSE 444. Motivation. Basic Features. Outline: Database in the Cloud. Outline

Introduction to Database Systems CSE 444

TECHNOLOGY WHITE PAPER Jan 2016

Thing Big: How to Scale Your Own Internet of Things.

Cloud Computing and Amazon Web Services

A Comparison of Clouds: Amazon Web Services, Windows Azure, Google Cloud Platform, VMWare and Others (Fall 2012)

Scalability in the Cloud HPC Convergence with Big Data in Design, Engineering, Manufacturing

DISTRIBUTED SYSTEMS [COMP9243] Lecture 9a: Cloud Computing WHAT IS CLOUD COMPUTING? 2

Amazon EC2 Product Details Page 1 of 5

Introduction to Cloud computing. Viet Tran

Building Fault-Tolerant Applications on AWS October 2011

TECHNOLOGY WHITE PAPER Jun 2012

319 MANAGED HOSTING TECHNICAL DETAILS

Amazon Elastic Compute Cloud Getting Started Guide. My experience

Energy Efficiency in New and Existing Data Centers-Where the Opportunities May Lie

AWS Performance Tuning

Designing Apps for Amazon Web Services

Web Application Deployment in the Cloud Using Amazon Web Services From Infancy to Maturity

How To Manage An Orgsync Database On An Amazon Cloud 2 Instance

Web Application Hosting in the AWS Cloud Best Practices

Amazon Web Services Yu Xiao

Migration Scenario: Migrating Batch Processes to the AWS Cloud

The Effect of Data Centre Environment on IT Reliability & Energy Consumption

Alfresco Enterprise on AWS: Reference Architecture

The Scenario: Priority Matrix for Cloud Computing

Deploying for Success on the Cloud: EBS on Amazon VPC. Phani Kottapalli Pavan Vallabhaneni AST Corporation August 17, 2012

Application Security Best Practices. Matt Tavis Principal Solutions Architect

EXECUTIVE SUMMARY CONTENTS. 1. Summary 2. Objectives 3. Methodology and Approach 4. Results 5. Next Steps 6. Glossary 7. Appendix. 1.

Expand Your Infrastructure with the Elastic Cloud. Mark Ryland Chief Solutions Architect Jenn Steele Product Marketing Manager

How To Choose Between A Relational Database Service From Aws.Com

Deploying for Success on the Cloud: EBS on Amazon VPC Session ID#11312

Simone Brunozzi, AWS Technology Evangelist, APAC. Fortress in the Cloud

Building. Applications. in the Cloud. Concepts, Patterns, and Projects. AAddison-Wesley. Christopher M. Mo^ar. Cape Town Sydney.

DLT Solutions and Amazon Web Services

European Code of Conduct for Data Centre. Presentation of the Awards 2014

AWS Account Setup and Services Overview

CLOUD COMPUTING FOR THE ENTERPRISE AND GLOBAL COMPANIES Steve Midgley Head of AWS EMEA

Cloud Optimize Your IT

AIST Data Symposium. Ed Lenta. Managing Director, ANZ Amazon Web Services

Cloud for Large Enterprise Where to Start. Terry Wise Director, Business Development Amazon Web Services

!"#$%&'()*'+),-./)0' 9##+':,%-.;),0'

Jinesh Varia Technology Evangelist Architectural Design Patterns in Cloud Computing

Chapter 9 PUBLIC CLOUD LABORATORY. Sucha Smanchat, PhD. Faculty of Information Technology. King Mongkut s University of Technology North Bangkok

SOC on Amazon Web Services (AWS) What You Need To Know Understanding the regulatory roadmap for SOC on AWS

An Introduction to Cloud Computing Concepts

Introduction to Amazon EC2 Running IBM

Cloud and the future of Unemployment Sean Rhody, CTO Capgemini Government Solutions

Cloud Computing. Adam Barker

Fault-Tolerant Computer System Design ECE 695/CS 590. Putting it All Together

WE RUN SEVERAL ON AWS BECAUSE WE CRITICAL APPLICATIONS CAN SCALE AND USE THE INFRASTRUCTURE EFFICIENTLY.

Cloud Compu)ng. [Stephan Bergemann, Björn Bi2ns] IP 2011, Virrat

ArcGIS for Server: In the Cloud

Intro to AWS: Storage Services

Big Data on AWS. Services Overview. Bernie Nallamotu Principle Solutions Architect

DataCenter 2020: first results for energy-optimization at existing data centers

Shadi Khalifa Database Systems Laboratory (DSL)

Dealing with Thermal Issues in Data Center Universal Aisle Containment

Best Practices for Siebel on AWS

Extending your Enterprise IT with Amazon Virtual Private Cloud. Oyvind Roti Principal Solutions Architect, AWS

Optimum Climate Control For Datacenter - Case Study. T. Prabu March 17 th 2009

Service Organization Controls 3 Report

Storage and Disaster Recovery

AWS Storage: Minimizing Costs While Retaining Functionality

Using SUSE Studio to Build and Deploy Applications on Amazon EC2. Guide. Solution Guide Cloud Computing.

Transcription:

Data Center Infrastructure Innovation Leading Edge Forum San Francisco James Hamilton, 2010.10.20 VP & Distinguished Engineer e: James@amazon.com w: mvdirona.com/jrh/work b: perspectives.mvdirona.com

Agenda Quickening pace of DC infrastructure innovation Where does the money go? Power distribution infrastructure Mechanical systems Sea change in net gear Server innovations Cloud Computing Economics Why utility computing makes sense economically Talk does not necessarily represent positions of current or past employers 2010/10/20 http://perspectives.mvdirona.com 2

Pace of Innovation Datacenter pace of innovation increasing Driven by cloud service providers and very high scale internet applications like search Cost of datacenter & H/W infrastructure dominates Core business rather cost center High focus on infrastructure innovation Driving down cost Increasing aggregate reliability Reducing resource consumption footprint 2010/10/20 http://perspectives.mvdirona.com 3

Where Does the Money Go? Assumptions: Facility: ~$72M for 8MW critical load Servers: 46,000 @ $1.45k each Commercial Power: ~$0.07/kWhr Power Usage Efficiency: 1.45 18% 13% Monthly Costs 4% Servers 57% Networking Equipment Power Distribution & Cooling Power 8% Other Infrastructure Observations: 31% costs functionally related to power (trending up while server costs down) Networking high at 8% of costs & 19% of total server cost (many pay more) 2010/10/20 3yr server & 10 yr infrastructure amortization From: http://perspectives.mvdirona.com/2010/09/18/overalldatacentercosts.aspx http://perspectives.mvdirona.com 4

208V Power Distribution High Voltage Utility Distribution 11% lost in distribution.997*.94*.98*.98*.99 = 89% IT Load (servers, storage, Net, ) Generators UPS & Gen often on 480v 115kv Sub-station 13.2kv UPS: Rotary or Battery Transformers Transformers ~1% loss in switch gear & conductors 13.2kv 13.2kv 480V 0.3% loss 99.7% efficient 6% loss 94% efficient, ~97% available 2% loss 98% efficient 2% loss 98% efficient Note: Two more levels of power conversion in the server 2010/10/20 http://perspectives.mvdirona.com 5

Cold Hot Mechanical Systems Blow down & Evaporative Loss at 8MW facility: ~200,000 gal/day Cooling Tower CWS Pump Heat Exchanger (Water-Side Economizer) A/C Condenser A/C Compressor Primary Pump A/C Evaporator Server fans 6 to 9W each Diluted Hot/Cold Mix leakage cold fans Overall Mechanical Losses ~22% Computer Room Air Handler Air Impeller 2010/10/20 http://perspectives.mvdirona.com 6

Hot Aisle/Cold Aisle Containment Intel WriteLine Intel 2010/10/20 http://perspectives.mvdirona.com 7

ASHRAE 2008 Recommended Most data center run in this range ASHRAE 2008 Recommended Class 1 64-81F 2010/10/20 http://perspectives.mvdirona.com 8

ASHRAE Allowable Most data center run in this range ASHRAE Allowable Class 1 ASHRAE 2008 Recommended Class 1 59F-90F 2010/10/20 http://perspectives.mvdirona.com 9

Air-Side Economization & Evaporative Cooling Operate with higher server inlet temps Limitations to high temp operation Higher fan power trade-off More semiconductor leakage current Possible negative failure rate impact Avoid direct expansion cooling entirely Air side economization Higher data center temperatures Evaporative cooling Requires Filtration Particulate & chemical pollution 2010/10/20 http://perspectives.mvdirona.com 10

Sea Change in Net Gear Current networks over-subscribed Forces workload placement restrictions Goal: all points in datacenter equidistant Mainframe model goes commodity Competition at each layer rather than vertical integration OpenFlow: open S/W platform Distributed control plane to central control E.g. VL2, Portland, and others 2010/10/20 http://perspectives.mvdirona.com 11

Server Innovation Shared Infrastructure Racks Shared PSUs, NICs & fans e.g. Dell Fortuna & Rackable CloudRack Next Level: Multi-server on board Intel Atom: SeaMicro ARM: SmoothStone Very Low-Cost, Low-Power Servers ARM, Atom, client & embedded CPUs Cold storage (reduce CPU $ to GB) Partitionable workloads: web servers, memcached Low utilization is still the elephant in room 2010/10/20 http://perspectives.mvdirona.com 12

Infrastructure at Scale Datacenter design efficiency Average datacenter efficiency low with PUE over 2.0 (Source: EPA) Many with PUE well over 3.0 High scale cloud services in the 1.2 to 1.4 range Lowers computing cost & better for environment Multiple datacenters At scale multiple datacenters can be used Close to customer Cross datacenter data redundancy Address international markets efficiently Avoid massive upfront data cost & years to fully utilize Scale supports pervasive automation investment 2010/10/20 http://perspectives.mvdirona.com 13

Utilization & Economics Server utilization problem 30% utilization VERY good &10% to 20% common Expensive & not good for environment Solution: pool number of heterogeneous services Single reserve capacity pool far more efficient Non-correlated peaks & law of large numbers Pay as you go & pay as you grow model Don t block the business Don t over buy Transfers capital expense to variable expense Apply capital for business investments rather than infrastructure Charge back models drive good application owner behavior Cost encourages prioritization of work by application developers High scale needed to make a market for low priority work 2010/10/20 http://perspectives.mvdirona.com 14

Amazon Cycle of Innovation 15+ years of operational excellence Managing secure, highly available, multi-datacenter infrastructure Experienced at low margin cycle of innovation: Innovate Listen to customers Drive down costs & improve processes Pass on value to customers AWS price reductions frequent & expected to continue 2010/10/20 http://perspectives.mvdirona.com 15

AWS Approach Broad set of services: Infrastructure Services SimpleDB Simple Storage Service CloudFront Simple Queue Service Elastic MapReduce Relational Database Service Elastic Block Store Premium Support Virtual Private Cloud Payments & Billing Flexible Payment Services DevPay On Demand Workforce Mechanical Turk Alexa Web Services Web Information Service Top Sites Merchant Services Fulfillment Web Service Open the hood approach Simple, layerable building block services Component services are substitutable 2010/10/20 http://perspectives.mvdirona.com 16

H/W Cost & Efficiency Optimization Service optimized hardware Custom cloud-scale design teams: Contract manufacturers, Dell DCS, Rackable, ZT Systems, HP, Purchasing power in volume Supply chain optimization Shorter chain drives much higher server utilization Predicting next week easier than 4 to 6 months out Less overbuy & less capacity risk Networking transit costs strongly rewards volume Cloud services unblocks new business & growth Remove dependence on precise capacity plan 2010/10/20 http://perspectives.mvdirona.com 17

AWS Pace of Innovation» Amazon VPC: Europe launch» Amazon RDS: Northern California Region, Multi-AZ Deployments, AWS Management Console support» Amazon CloudFront: Access logs for streaming» Amazon S3 Reduced Redundancy Storage» Amazon EC2 with Windows Server 2008, Spot Instances, Boot from Amazon EBS» Amazon CloudFront Streaming» Amazon VPC enters Unlimited Beta» AWS Region in Northern California» International Support for AWS Import/Export» Amazon RDS» High-Memory Instances» Lower EC2 Pricing» AWS SDK for Java» Windows server Bring Your Own License pilot program» Amazon CloudFront: Singapore edge location, private content for streaming» Amazon CloudFront: HTTPS support, lower request pricing, NYC edge location» AWS Import/Export exits beta; web service support» AWS Management Console for Amazon S3» Amazon CloudWatch monitoring for Amazon EBS volumes» Amazon CloudFront Default Root Objects» Amazon RDS Reserved Instances» Amazon CloudFront Invalidation» Amazon RDS Read Replicas; lowers prices» Amazon EC2 running SUSE Linux» AWS Console supports Amazon SNS» Amazon ELB support for HTTPS» EBS Shared Snapshots» SimpleDB in EU Region» Monitoring, Auto Scaling & Elastic Load Balancing in EU» Amazon EC2 Reserved Instances with Windows, Extra Large High Memory Instances» Amazon S3 Versioning Feature» Consolidated Billing for AWS» Lower pricing for Outbound Data Transfer» Amazon CloudFront Private Content» SAS70 Type II Audit» AWS SDK for.net» Combined AWS Data Transfer Pricing» Amazon SNS» Amazon Elastic MapReduce: custom cluster configuration option» Amazon RDS: EU Region launch» AWS Asia Pacific (Singapore) Region» Amazon SQS Free Tier» Amazon S3 Bucket Policies» Amazon VPC IP Address Assignment» Amazon EC2 Cluster Compute Instances» Amazon S3 Enhanced Support for RRS» Lower Amazon EC2 Pricing» AWS IAM Preview Beta» AWS Console Support for Amazon VPC» Amazon EC2 Micro Instances» Amazon Linux AMI» Amazon EC2 Tagging, Filtering, Import Key Pair, Idempotency» Oracle certifies enterprise software on Amazon EC2» AWS SDK on PHP 2010/10/20 http://perspectives.mvdirona.com 18

More Information These Slides: I ll post the slides to http://mvdirona.com/jrh/work later this week Power and Total Power Usage Effectiveness http://perspectives.mvdirona.com/2009/06/15/pueandtotalpowerusageefficiencytpue.aspx Berkeley Above the Clouds Paper http://perspectives.mvdirona.com/2009/02/13/berkeleyabovetheclouds.aspx Degraded Operations Mode http://perspectives.mvdirona.com/2008/08/31/degradedoperationsmode.aspx Cost of Power http://perspectives.mvdirona.com/2008/11/28/costofpowerinlargescaledatacenters.aspx http://perspectives.mvdirona.com/2008/12/06/annualfullyburdenedcostofpower.aspx Power Optimization http://labs.google.com/papers/power_provisioning.pdf Cooperative, Expendable, Microslice Servers http://perspectives.mvdirona.com/2009/01/15/thecaseforlowcostlowpowerservers.aspx Power Proportionality http://www.barroso.org/publications/ieee_computer07.pdf Resource Consumption Shaping: http://perspectives.mvdirona.com/2008/12/17/resourceconsumptionshaping.aspx Email & Blog James@amazon.com & http://perspectives.mvdirona.com 2010/10/20 http://perspectives.mvdirona.com 19