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Getting Started with Amazon EC2 and Compute Services

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Getting Started with Amazon EC2 and Compute Services

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Getting Started with Amazon EC2 and Compute Services

  1. 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Matt Pitchford – Solutions Architect, AWS François de Bodinat - Zerolight July 2016 Getting Started with Amazon EC2 and Compute Services
  2. 2. AWS Compute offerings AWS Lambda Serverless compute platform for stateless code execution in response to triggers Amazon ECS Container management service for running Docker on a managed cluster of EC2 instances Amazon EC2 Virtual servers in the cloud
  3. 3. EC2 Overview: Instance Families and Generations General-purpose: M1, M3 , T2, M4 Compute-optimized: C1, CC2, C3, C4 Memory-optimized: M2, CR1, R3 {X1} Dense-storage: HS1, D2 I/O-optimized: HI1, I2 GPU: CG1, G2 Micro: T1, T2
  4. 4. EC2 instances: Types and Sizes c4.large Instance family Instance generation Instance size
  5. 5. http://aws.amazon.com/ec2/instance-types/
  6. 6. 1 2 4 8 16 32 1 2 4 8 16 32 64 128 256 Memory(GB) vCPU Compute EC2 Instance Types g2.2xlarge 8 vCPU, 15 GB 1 x 60 SSD NVIDIA GPU (1,536 CUDA cores, 4GB Mem) 4 vCPU, 30.5 GB i2.xlarge (High IO) - 1 x 800 SSD d2.xlarge (Dense) - 3 x 2000 HDD 8 vCPU, 61 GB i2.xlarge (High IO) - 2 x 800 SSD d2.xlarge (Dense) - 6 x 2000 HDD 16 vCPU, 122 GB i2.xlarge (High IO) - 4 x 800 SSD d2.xlarge (Dense) - 12 x 2000 HDD 32 vCPU, 244 GB i2.xlarge (High IO) - 8 x 800 SSD 36 vCPU, 244 GB d2.xlarge (Dense) - 24 x 2000 HDD m3.xlarge 4 vCPU, 15 GB 2 x 40 SSD m3.2xlarge 8 vCPU, 30 GB 2 x 80 SSD m3.large 2 vCPU, 7.5 GB 1 x 32 SSDm3.medium 1 vCPU, 3.75 GB, 1 x 4 SSD t2.micro 1 vCPU, 1GB EBS Only t2.small 1 vCPU, 2GB EBS Only t2.medium 2 vCPU, 4GB EBS Only r3.large 2 vCPU, 15.25 GB 1 x 32 SSD r3.xlarge 4 vCPU, 30.5 GB 1 x 80 SSD r3.2xlarge 8 vCPU, 61 GB 1 x 160 SSD r3.4xlarge 16 vCPU, 122 GB 1 x 320 SSD r3.8xlarge3 2 vCPU, 244 GB 2 x 320 SSD 2 vCPU, 3.75 GB c4.large - EBS Only c3.large - 2 x 16 SSD 4 vCPU, 7.5 GB c4.xlarge - EBS Only c3.xlarge - 2 x 40 SSD 8 vCPU, 15 GB c4.2xlarge - EBS Only c3.2xlarge - 2 x 80 SSD 16 vCPU, 30 GB c4.4xlarge - EBS Only c3.4xlarge - 2 x 160 SSD 32 vCPU, 60 GB c4.8xlarge - EBS Only c3.8xlarge - 2 x 320 SSD m4.large 2 vCPU, 8 GB EBS Only m4.xlarge 4 vCPU, 16 GB EBS Only m4.2xlarge 8 vCPU, 32 GB EBS Only m4.4xlarge 16 vCPU, 64 GB EBS Only m4.10xlarge 40 vCPU, 160GB EBS Only m4.large 2 vCPU, 8 GB EBS Only Storage Optimized GPU Instances General Purpose Memory Optimized Compute Optimized New M4’s/T2 Large t2.nano 1 vCPU, 512MB EBS Only
  7. 7. Burstable EC2 Instance Types Micro Instances (T1) • Small amount of consistent CPU resources • Well suited for lower throughput applications and web sites Micro Instances (T2) • The newest low-cost instance, designed to provide moderate baseline performance with ability to burst CPU performance
  8. 8. Storage Options Locally attached or “instance storage” Network attached: Amazon EBS General Purpose (SSD) volumes Amazon EBS Provisioned IOPS (SSD) volumes Amazon EBS Magnetic volumes Amazon EFS Amazon S3 and Amazon Glacier for object storage
  9. 9. Benefits of Scalability
  10. 10. AWS global infrastructure Over 1 million active customers across 190 countries 900+ government agencies 3,400+ educational institutions 11,200+ nonprofits 13 regions 35 Availability Zones *9 more Availability Zones and 4 more regions coming online throughout the year
  11. 11. Elastic cloud-based resources Actual demand Resources scaled to demand Benefits of Agility Waste Customer dissatisfaction Actual demand Predicted demand Rigid on-premises resources
  12. 12. Example: 3-tier web application architecture
  13. 13. On-Demand Pay for compute capacity by the hour with no long- term commitments For spiky workloads, or to define needs Reserved Make a low, one- time payment and receive a significant discount on the hourly charge For committed utilization Spot Bid for unused capacity, charged at a Spot Price which fluctuates based on supply and demand For time-insensitive or transient workloads Dedicated Launch instances within Amazon VPC that run on hardware dedicated to a single customer For highly sensitive or compliance-related workloads TCO Considerations Purchase options to fit many workloads
  14. 14. Use Spot Instances for even greater savings Best Spot use-cases include any batch-oriented, fault-tolerant application
  15. 15. Amazon EC2 Container Service (Amazon ECS)
  16. 16. Easily Manage Clusters for Any Scale Nothing to run Complete state Control and monitoring Scale
  17. 17. High performance at any scale; Cost-effective and efficient No Infrastructure to manage Pay only for what you use: Lambda automatically matches capacity to your request rate. Purchase compute in 100ms increments. Bring Your Own Code Lambda functions: Stateless, trigger-based code execution Run code in a choice of standard languages. Use threads, processes, files, and shell scripts normally. Focus on business logic, not infrastructure. You upload code; Lambda handles everything else. AWS Lambda Overview
  18. 18. Zerolight use case
  19. 19. Please remember to rate this session under My Agenda on awssummit.london
  20. 20. François de Bodinat, CMO July 7th 2016 FLIPPING CARS FASTER THAN BURGERS
  21. 21. OMNICHANNEL VISUALIZATION PLATFORM FOR AUTOMOTIVE BE EMPOWERED BY VISUALIZATION
  22. 22. Trends 1 re:Invent 2 Challenge 3 Soon 4
  23. 23. dealerships go digital the journey is online customers expect more
  24. 24. *McKinsey, reported in the Economist 5.0x 1.6x dealerships go digital the journey is online customers expect more dealership visits personalization digital stores
  25. 25. 96% Conduct online research 3/4 of journey Is online 14h researching 18websites 75%(Global) 92%(China) 5% 25% dealerships go digital the journey is online customers expect more *JD Power, Analog Folk, Accenture, Financial Times online search online car saleswillingness to buy online
  26. 26. dealerships go digital the journey is online customers expect more *Inc.com, Auto News visualisation is a given …and yet, basic experienceexperience is key Give your customers an Experience, not just a Product. “ ”
  27. 27. Trends 1 re:Invent 2 Challenge 3 Soon 4
  28. 28. FROM: CONFIGURING TO: CONFIGURING & EXPLORING re:Invent  static images  limited views  single background  limited options  customer is driven  animated car  freedom of view  variety of backgrounds  all cars, all options  customer drives
  29. 29. Trends 1 re:Invent 2 Challenge 3 Soon 4
  30. 30. Typical VE performances for ZL Its great, but with Cloud, there is another challenge….
  31. 31. We looked at Burgers…
  32. 32. Yes…burgers !
  33. 33. and for that, we follow the leaders….
  34. 34. McDonald’s “MADE FOR YOU” Meeting Customer Demand Minimizing Waste & JIT Operating System is about
  35. 35. Minimizing Waste
  36. 36. Meeting Customer Demand
  37. 37. But our Burgers are a bit different…
  38. 38. So in short, if we were to sell burgers, we would deliver them in less than 5s, to people all over the world, with only a few PoS. We would minimize waste by predicting demand and also re-using left-overs. weird indeed…. “ ”
  39. 39. Trends 1 re:Invent 2 Challenge 3 Soon 4
  40. 40. Motion car driving Personalize with Big Data Home immersive experiences 4K streams to dealerships New HMI Experiences
  41. 41. Thank you François de Bodinat, CMO francois.debodinat@zerolight.com zerolight.com/careers @zerolight

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