SlideShare a Scribd company logo
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Blue Origin: Powered by Rocket Fuel &
AWS
NOTICEOF PROPRIETARYINFORMATION
Blue Origin proprietary information is disclosed herein. By accepting this document recipient agrees that neitherthis document and any attachments,
nor the information disclosed herein, nor any part thereof shall be reproducedor transferredto otherdocuments, or used or disclosed to others for
anypurpose except as specifically authorized in writing by Blue Origin.
Dean Kassmann, Ph.D.
Head of Advanced Technology
Blue Origin Proprietary & Confidential |Blue Origin Proprietary & Confidential |Earth and Space on AWS | June 19, 2018 2
MILLIONS OF
PEOPLE
LIVING AND WORKING IN SPACE
OUR VISION
Blue Origin Proprietary & Confidential |
New Shepard Flight History
Vertical takeoff, vertical landing
Designed to carry six astronauts and payloads
Reusable booster powered by BE-3
April 29, 2015 – Successful ascent, capsule recovery; booster not recovered
November 23, 2015 – Historic rocket landing from space
January 22, 2016 – First reuse of a rocket flown to space
April 2, 2016 – Third flight of booster
June 19, 2016 – Fourth flight of booster; one chute out
October 5, 2016 – Fifth flight of booster; in-flight escape
December 12, 2017 – Successful first mission of next-gen booster
Planned 2018 – Continued test flights
3Earth and Space on AWS | June 19, 2018
Planned 2019 – First Commercial Human Spaceflight
April 29, 2018 – Second flight of next-gen booster; additional science payloads
Ring Fin
Aft Fin
Landing
Gear
Wedge Fins
& Drag
Brakes
Engine
Restart
Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential |
How to Make a Rocket Reusable
Blue Origin Proprietary & Confidential | 5
New Shepard Suborbital Capability
Earth and Space on AWS | June 19, 2018
COMMERCIAL
CAPABILITIES
100 km apogee
Payloads from 1 to 250 lbm
~3 minutes of milli-g accelerations
Internal and external interfaces
Future human-tended capabilities
KEY APPLICATIONS
Basic and applied microgravity research
Earth, atmospheric, and space sciences
Technology risk reduction demos
Education and outreach collaborations
Blue Origin Proprietary & Confidential |BLUE ORIGIN PROPRIETARY & CONFIDENTIAL
Blue Origin Proprietary & Confidential |
Blue Origin Proprietary & Confidential |
New Shepard Design Cycle
8
TIMELINE
DESIGN
New Shepard was designed and built in 3 years with ~200 people
• Among the first users of AWS
• Amazon EC2
• Amazon S3
• Amazon Simple Queue Service (SQS)
• Before AWS IAM, Amazon Glacier, Amazon Redshift, AWS
Lambda, SageMaker, …
Early AWS applications focused on on-demand compute capability:
• Crew Capsule Outer Mold Line (OML) development
• Aerodynamic database development
• Engine loads and thermal analysis
• Prototype 6 Degree-of-Freedom (6-DOF) Monte-Carlo development
• Post-flight data reconstruction
Earth and Space on AWS | June 19, 2018
Blue Origin Proprietary & Confidential |
Crew Capsule: Aerodynamic Database Development
9
CONSIDERED MANY (> 100) DIFFERENT CONFIGURATIONS
PARAMETRIC SWEEPS
For each configuration sweep
 Mach Number
 Angle of attack
 …
To generate static aerodynamic
coefficients for stability, control,
simulation, packaging, and other
analysis
Earth and Space on AWS | June 19, 2018
EMBARRASSINGLY PARALLEL
First instantiation of in-house tools based on Amazon AWS
 Amazon EC2, Amazon S3
Blue Origin Proprietary & Confidential |
Post-Flight Reconstruction
10
LANDING OSCILLATIONS
Landing Oscillations observed in attitude during early landings
Fault tree created:
• Engine plume reducing vehicle’s static stability
• Unsteady plume shedding created chaotic large-magnitude
disturbances
• Control coupling effects
• Reduced Aft-Fin effectiveness or Aft-Fin control reversal
Earth and Space on AWS | June 19, 2018
Infrared video of propulsion module landing showing engine plume
Blue Origin Proprietary & Confidential |
Post-Flight Reconstruction
11
UNSTEADY CFD AND 6-DOF ANALYSIS
Conducted unsteady Computational Fluid Dynamics (CFD) analysis using forces and
moments backed out from flight data
• Unsteady plume shedding created chaotic large-magnitude disturbances
• 6-DOF Simulation and Monte-Carlo analysis
Earth and Space on AWS | June 19, 2018
RESULTED IN FLIGHT SOFTWARE
UPDATESUpdated landing strategy on M4 to minimize the
unsteady oscillation
• Increased engine thrust cap
• Faded in TVC control earlier
• Moved engine restart to a lower altitude
THAT SUCCESSFULLY RESOLVED THE
ISSUEAttitude excursions all within limits on subsequent
flights
AWS and On-Demand HPC were the enablers
Unsteady CFD Simulation
Blue Origin Proprietary & Confidential |
From Design to Operations
12
• Outer Mold Line (OML) and Aero Database Development
• Engine Design
• Post-Flight Reconstruction
• Simulation
Earth and Space on AWS | June 19, 2018
DESIGN
OPERATIONS
• In-house built system for storing time series data (telemetry)
• Test Stands
• Flight Data
• Hardware-in-the-Loop and Lab Testing
• Streamed and batch data
• Enables seamless transfer and usage of data across mission
operations, sim labs and engineering
• Amazon S3 and Amazon DynamoDB
Blue Origin Proprietary & Confidential |
On-Demand HPC using AWS
Initial internal capability (2008-2009)
Supported embarrassingly parallel jobs; simple job management
Based on EC2 and S3
Custom encryption and security handling
Second generation (2010-2011)
Added MPI Support; Cluster of Clusters
More advanced job and data management, robust data transfer
Third generation (2016-2017)
Simpler API
Native Server Side Encryption; additional HPC applications
13Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential |
ON-DEMAND HPC CLUSTERS
NEW SHEPARD NEW GLENN
2-STAGE
NEW GLENN
LANDED BOOSTER
SATURN V
HIGH PERFORMANCE COMPUTING
EXAMPLES
Aero: 20M-100M cells; 200-400 cores; overnight or 1-2 day
turnaround
Combusting CFD: 1M-200M cells; 200-2000 cores; 3 days to
several week turnaround
FEA: 1M-10M degrees-of-freedom; 32-128 cores; 1 day turnaround
Blue Origin Proprietary & Confidential |
Step By Step Ferociously
NewShepardsuborbital system in flighttestingstage
Propulsion Module
Crew Capsule
BE-3 Engine
NewGlennorbital system in development
Reusable first stage
Initially expendable upper stages
BE-4 & BE-3U Engines
NewGlenn2-stageperformance:
Leo (200 km) GTO (1800 M/S)
The Gradatim Ferociter Approach
Reusable First Stage
Expendable
Upper Stage
7m Fairing
Orbital
New Glenn
System
Suborbital
New Shepard
System
Crew Capsule
Propulsion Module
14Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential |
45 TON 13 TON
Blue Origin Proprietary & Confidential |
BE-4 LNG Engine
15
SPECIFICATIONS
DEVELOPMENT
Liquid Oxygen, Liquefied Natural Gas (LOx/LNG) Engine
• Oxygen Rich Staged Combustion (ORSC) cycle
• 550,000 lbf (2400 kN) sea level thrust
LNG Fuel
• Commercially available liquefied methane
• Established supply chain
• Enables autogenous tank pressurization, eliminates helium
• Low cost enables extended development test program
• Hundreds of LOx/LNG ignitions over a variety of conditions
• Lower carbon emission alternative
Partnership with United Launch Alliance (ULA)
 Single part number engine for both ULA’s Vulcan and Blue Origin’s New
Glenn
In-house, fully-funded development underway since 2011
Not dependent on the U.S. government for funding
Earth and Space on AWS | June 19, 2018
Blue Origin Proprietary & Confidential |
Continued AWS Investment
NewGlenn:
Configuration design
Primary CFD cluster for external flow analysis, including
database development, wind-tunnel pre-test predictions, aero-
and aero-thermal analysis
Launch Pad design
BE-4 Engine:
Finite Element analysis (FEA)
Primary CFD cluster for all internal flow analysis, including
combusting CFD
MATLAB clusters for heavy computation
Operations:
Time Series Data Storage
16Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential |
Because of what AWS has enabled us to do, we’re now using AWS for the BE-4 engine and New Glenn vehicle designs.
Blue Origin Proprietary & Confidential |
Continued AWS Investment
Business Systems:
Blue Origin Public Website
Autoscaling to support livestream of missions on launch
days
Amazon EC2, AWS Lambda, and Amazon SQS to accept
technical data for payload customers
Redshift coupled with Tableau for business intelligence
• Storage and delivery of media related to the manufacturing
of our vehicles, engines, and test stands to the
manufacturing floor
• CloudWatch for monitoring
• RDS servers for a variety of different services which allow
us to offload the operational overhead of managing in-
house servers
17Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential |
Blue Origin Proprietary & Confidential |
Amazon Web Services
18
• AWS Lambda
• Amazon RDS
• Amazon Cloudwatch
• AWS Cloudtrail
• Amazon Dynamodb
• Amazon EC2
• Amazon Glacier
• Amazon Kinesis – (demo)
• Amazon Redshift
• Amazon SQS
• Amazon S3
• Amazon VPC
• VPN
Earth and Space on AWS | June 19, 2018
GOV CLOUD PUBLIC CLOUD
• AWS Glue – (demo)
• AWS Lambda
• AWS Step – (demo)
• AWS Cloudtrail
• Amazon Cloudwatch
• Amazon EC2
• Deep learning AMI
• Amazon DynamoDB
• Amazon Quicksight – (demo)
• Amazon SageMaker
• Amazon S3
• Amazon VPC
• VPN
Dean Kassmann, Ph.D.
HEAD OF ADVANCED TECHNOLOGY
dkassmann@blueorigin.com +1 (253) 437-9300
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Thank you!
Please submit feedback in the app under ‘Session Details’.

More Related Content

What's hot

India’s launch vehicles
India’s launch vehiclesIndia’s launch vehicles
India’s launch vehicles
Aman Dhanda
 
Hyperloop
HyperloopHyperloop
Hyperloop
ShivendraVatsa
 
Hyperloop transportation system
Hyperloop transportation systemHyperloop transportation system
Hyperloop transportation system
Dhananjay Kumar
 
Hyperloop
HyperloopHyperloop
Hyperloop
Thariqul Abrar
 
AManaging Kong API Gateway with Terraform
AManaging Kong API Gateway with TerraformAManaging Kong API Gateway with Terraform
AManaging Kong API Gateway with Terraform
Byungjin Park
 
Everything You Need To Know About Persistent Storage in Kubernetes
Everything You Need To Know About Persistent Storage in KubernetesEverything You Need To Know About Persistent Storage in Kubernetes
Everything You Need To Know About Persistent Storage in Kubernetes
The {code} Team
 
DJI Payload SDK
DJI Payload SDKDJI Payload SDK
DJI Payload SDK
Godfrey Nolan
 
SpaceX Overview
SpaceX OverviewSpaceX Overview
SpaceX OverviewAaron Zeeb
 
ISS Presentation
ISS PresentationISS Presentation
ISS Presentation
Roland Taams
 
Voyager
VoyagerVoyager
Voyager
Rohan Nagpal
 
Introduction to kubernetes
Introduction to kubernetesIntroduction to kubernetes
Introduction to kubernetes
Rishabh Indoria
 
Network policy @ k8s day
Network policy @ k8s dayNetwork policy @ k8s day
Network policy @ k8s day
Chia-Chun Shih
 
Kubernetes × 可用性 -- cndjp第3回勉強会
Kubernetes × 可用性 -- cndjp第3回勉強会Kubernetes × 可用性 -- cndjp第3回勉強会
Kubernetes × 可用性 -- cndjp第3回勉強会
Hiroshi Hayakawa
 
Packer by HashiCorp
Packer by HashiCorpPacker by HashiCorp
Packer by HashiCorp
Łukasz Cieśluk
 
単なるキャッシュじゃないよ!?infinispanの紹介
単なるキャッシュじゃないよ!?infinispanの紹介単なるキャッシュじゃないよ!?infinispanの紹介
単なるキャッシュじゃないよ!?infinispanの紹介
AdvancedTechNight
 
Successfully Implement Your API Strategy with NGINX
Successfully Implement Your API Strategy with NGINXSuccessfully Implement Your API Strategy with NGINX
Successfully Implement Your API Strategy with NGINX
NGINX, Inc.
 
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Amazon Web Services
 
Google cloud functions
Google cloud functionsGoogle cloud functions
Google cloud functions
Péter Nagy
 
Space Shuttles & Advancement
Space Shuttles & AdvancementSpace Shuttles & Advancement
Space Shuttles & Advancement
Patil Sanket Sanket
 
Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...
Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...
Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...
Edureka!
 

What's hot (20)

India’s launch vehicles
India’s launch vehiclesIndia’s launch vehicles
India’s launch vehicles
 
Hyperloop
HyperloopHyperloop
Hyperloop
 
Hyperloop transportation system
Hyperloop transportation systemHyperloop transportation system
Hyperloop transportation system
 
Hyperloop
HyperloopHyperloop
Hyperloop
 
AManaging Kong API Gateway with Terraform
AManaging Kong API Gateway with TerraformAManaging Kong API Gateway with Terraform
AManaging Kong API Gateway with Terraform
 
Everything You Need To Know About Persistent Storage in Kubernetes
Everything You Need To Know About Persistent Storage in KubernetesEverything You Need To Know About Persistent Storage in Kubernetes
Everything You Need To Know About Persistent Storage in Kubernetes
 
DJI Payload SDK
DJI Payload SDKDJI Payload SDK
DJI Payload SDK
 
SpaceX Overview
SpaceX OverviewSpaceX Overview
SpaceX Overview
 
ISS Presentation
ISS PresentationISS Presentation
ISS Presentation
 
Voyager
VoyagerVoyager
Voyager
 
Introduction to kubernetes
Introduction to kubernetesIntroduction to kubernetes
Introduction to kubernetes
 
Network policy @ k8s day
Network policy @ k8s dayNetwork policy @ k8s day
Network policy @ k8s day
 
Kubernetes × 可用性 -- cndjp第3回勉強会
Kubernetes × 可用性 -- cndjp第3回勉強会Kubernetes × 可用性 -- cndjp第3回勉強会
Kubernetes × 可用性 -- cndjp第3回勉強会
 
Packer by HashiCorp
Packer by HashiCorpPacker by HashiCorp
Packer by HashiCorp
 
単なるキャッシュじゃないよ!?infinispanの紹介
単なるキャッシュじゃないよ!?infinispanの紹介単なるキャッシュじゃないよ!?infinispanの紹介
単なるキャッシュじゃないよ!?infinispanの紹介
 
Successfully Implement Your API Strategy with NGINX
Successfully Implement Your API Strategy with NGINXSuccessfully Implement Your API Strategy with NGINX
Successfully Implement Your API Strategy with NGINX
 
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
Disaster Recovery Site on AWS - Minimal Cost Maximum Efficiency (STG305) | AW...
 
Google cloud functions
Google cloud functionsGoogle cloud functions
Google cloud functions
 
Space Shuttles & Advancement
Space Shuttles & AdvancementSpace Shuttles & Advancement
Space Shuttles & Advancement
 
Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...
Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...
Kubernetes Networking | Kubernetes Services, Pods & Ingress Networks | Kubern...
 

Similar to Blue Origin: Powered by Rocket Fuel & AWS

Finite Element Analysis of Solar impulse aircraft
Finite Element Analysis of Solar impulse aircraftFinite Element Analysis of Solar impulse aircraft
Finite Element Analysis of Solar impulse aircraft
Adarsh Agrawal
 
Unmanned Aerial Delivery III - WayStations
Unmanned Aerial Delivery III - WayStationsUnmanned Aerial Delivery III - WayStations
Unmanned Aerial Delivery III - WayStations
Philip Friedman PE, LEED AP
 
Cloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAP
Cloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAPCloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAP
Cloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAP
Krishna-Kumar
 
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...
inside-BigData.com
 
Smart Manufacturing: CAE in the Cloud
Smart Manufacturing: CAE in the CloudSmart Manufacturing: CAE in the Cloud
Smart Manufacturing: CAE in the Cloud
Wolfgang Gentzsch
 
Self-Service Supercomputing
Self-Service SupercomputingSelf-Service Supercomputing
Self-Service Supercomputing
Amazon Web Services
 
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
Direct Dimensions, Inc.
 
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
Direct Dimensions, Inc.
 
SpaceMETA - The Micro Launch Market 2016 - GLXP
SpaceMETA - The Micro Launch Market 2016 - GLXPSpaceMETA - The Micro Launch Market 2016 - GLXP
SpaceMETA - The Micro Launch Market 2016 - GLXP
IdeaValley Sergio Cabral Cavalcanti
 
Chris France, Alta Devices
Chris France, Alta DevicesChris France, Alta Devices
Chris France, Alta DevicesPatrick Egan
 
Chris France, Alta Devices
Chris France, Alta DevicesChris France, Alta Devices
Chris France, Alta Devices
sUAS News
 
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Carlos Santana
 
What's new in Kubernetes
What's new in KubernetesWhat's new in Kubernetes
What's new in Kubernetes
Daniel Smith
 
Developer intro to open shift
Developer intro to open shiftDeveloper intro to open shift
Developer intro to open shift
Ram Maddali
 
Kubernetes - A Rising Hero
Kubernetes - A Rising HeroKubernetes - A Rising Hero
Kubernetes - A Rising Hero
Huynh Thai Bao
 
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
Amazon Web Services
 
DevOps Days Tel Aviv - Serverless Architecture
DevOps Days Tel Aviv - Serverless ArchitectureDevOps Days Tel Aviv - Serverless Architecture
DevOps Days Tel Aviv - Serverless Architecture
Antons Kranga
 
AAS National Conference 2008: Kris Zacny
AAS National Conference 2008: Kris ZacnyAAS National Conference 2008: Kris Zacny
AAS National Conference 2008: Kris Zacny
American Astronautical Society
 
Kubernetes Multitenancy Karl Isenberg - KubeCon NA 2019
Kubernetes Multitenancy   Karl Isenberg - KubeCon NA 2019Kubernetes Multitenancy   Karl Isenberg - KubeCon NA 2019
Kubernetes Multitenancy Karl Isenberg - KubeCon NA 2019
Karl Isenberg
 

Similar to Blue Origin: Powered by Rocket Fuel & AWS (20)

Finite Element Analysis of Solar impulse aircraft
Finite Element Analysis of Solar impulse aircraftFinite Element Analysis of Solar impulse aircraft
Finite Element Analysis of Solar impulse aircraft
 
Unmanned Aerial Delivery III - WayStations
Unmanned Aerial Delivery III - WayStationsUnmanned Aerial Delivery III - WayStations
Unmanned Aerial Delivery III - WayStations
 
Cloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAP
Cloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAPCloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAP
Cloud Native Use Cases / Case Studies - KubeCon 2019 San Diego - RECAP
 
Bartolomeo_ASGSR
Bartolomeo_ASGSRBartolomeo_ASGSR
Bartolomeo_ASGSR
 
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...
NAVGEM on the Cloud: Computational Evaluation of Cloud HPC with a Global Atmo...
 
Smart Manufacturing: CAE in the Cloud
Smart Manufacturing: CAE in the CloudSmart Manufacturing: CAE in the Cloud
Smart Manufacturing: CAE in the Cloud
 
Self-Service Supercomputing
Self-Service SupercomputingSelf-Service Supercomputing
Self-Service Supercomputing
 
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
 
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
DDI Aircraft OML Scanning and Modeling Presentation Oct 2009
 
SpaceMETA - The Micro Launch Market 2016 - GLXP
SpaceMETA - The Micro Launch Market 2016 - GLXPSpaceMETA - The Micro Launch Market 2016 - GLXP
SpaceMETA - The Micro Launch Market 2016 - GLXP
 
Chris France, Alta Devices
Chris France, Alta DevicesChris France, Alta Devices
Chris France, Alta Devices
 
Chris France, Alta Devices
Chris France, Alta DevicesChris France, Alta Devices
Chris France, Alta Devices
 
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
Navigating Disaster Recovery in Kubernetes and CNCF Crossplane
 
What's new in Kubernetes
What's new in KubernetesWhat's new in Kubernetes
What's new in Kubernetes
 
Developer intro to open shift
Developer intro to open shiftDeveloper intro to open shift
Developer intro to open shift
 
Kubernetes - A Rising Hero
Kubernetes - A Rising HeroKubernetes - A Rising Hero
Kubernetes - A Rising Hero
 
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...High Performance Computing on AWS: Accelerating Innovation with virtually unl...
High Performance Computing on AWS: Accelerating Innovation with virtually unl...
 
DevOps Days Tel Aviv - Serverless Architecture
DevOps Days Tel Aviv - Serverless ArchitectureDevOps Days Tel Aviv - Serverless Architecture
DevOps Days Tel Aviv - Serverless Architecture
 
AAS National Conference 2008: Kris Zacny
AAS National Conference 2008: Kris ZacnyAAS National Conference 2008: Kris Zacny
AAS National Conference 2008: Kris Zacny
 
Kubernetes Multitenancy Karl Isenberg - KubeCon NA 2019
Kubernetes Multitenancy   Karl Isenberg - KubeCon NA 2019Kubernetes Multitenancy   Karl Isenberg - KubeCon NA 2019
Kubernetes Multitenancy Karl Isenberg - KubeCon NA 2019
 

More from Amazon Web Services

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Amazon Web Services
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Amazon Web Services
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
Amazon Web Services
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWS
Amazon Web Services
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
Amazon Web Services
 
Open banking as a service
Open banking as a serviceOpen banking as a service
Open banking as a service
Amazon Web Services
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Amazon Web Services
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
Amazon Web Services
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Amazon Web Services
 
Computer Vision con AWS
Computer Vision con AWSComputer Vision con AWS
Computer Vision con AWS
Amazon Web Services
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
Amazon Web Services
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Amazon Web Services
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
Amazon Web Services
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Amazon Web Services
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWSAmazon Web Services
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckAmazon Web Services
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without serversAmazon Web Services
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container Service
Amazon Web Services
 

More from Amazon Web Services (20)

Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...
 
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...
 
Esegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS FargateEsegui pod serverless con Amazon EKS e AWS Fargate
Esegui pod serverless con Amazon EKS e AWS Fargate
 
Costruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWSCostruire Applicazioni Moderne con AWS
Costruire Applicazioni Moderne con AWS
 
Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot Come spendere fino al 90% in meno con i container e le istanze spot
Come spendere fino al 90% in meno con i container e le istanze spot
 
Open banking as a service
Open banking as a serviceOpen banking as a service
Open banking as a service
 
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...
 
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...OpsWorks Configuration Management: automatizza la gestione e i deployment del...
OpsWorks Configuration Management: automatizza la gestione e i deployment del...
 
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsMicrosoft Active Directory su AWS per supportare i tuoi Windows Workloads
Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads
 
Computer Vision con AWS
Computer Vision con AWSComputer Vision con AWS
Computer Vision con AWS
 
Database Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatareDatabase Oracle e VMware Cloud on AWS i miti da sfatare
Database Oracle e VMware Cloud on AWS i miti da sfatare
 
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJSCrea la tua prima serverless ledger-based app con QLDB e NodeJS
Crea la tua prima serverless ledger-based app con QLDB e NodeJS
 
API moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e webAPI moderne real-time per applicazioni mobili e web
API moderne real-time per applicazioni mobili e web
 
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareDatabase Oracle e VMware Cloud™ on AWS: i miti da sfatare
Database Oracle e VMware Cloud™ on AWS: i miti da sfatare
 
Tools for building your MVP on AWS
Tools for building your MVP on AWSTools for building your MVP on AWS
Tools for building your MVP on AWS
 
How to Build a Winning Pitch Deck
How to Build a Winning Pitch DeckHow to Build a Winning Pitch Deck
How to Build a Winning Pitch Deck
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without servers
 
Fundraising Essentials
Fundraising EssentialsFundraising Essentials
Fundraising Essentials
 
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...
 
Introduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container ServiceIntroduzione a Amazon Elastic Container Service
Introduzione a Amazon Elastic Container Service
 

Blue Origin: Powered by Rocket Fuel & AWS

  • 1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Blue Origin: Powered by Rocket Fuel & AWS NOTICEOF PROPRIETARYINFORMATION Blue Origin proprietary information is disclosed herein. By accepting this document recipient agrees that neitherthis document and any attachments, nor the information disclosed herein, nor any part thereof shall be reproducedor transferredto otherdocuments, or used or disclosed to others for anypurpose except as specifically authorized in writing by Blue Origin. Dean Kassmann, Ph.D. Head of Advanced Technology
  • 2. Blue Origin Proprietary & Confidential |Blue Origin Proprietary & Confidential |Earth and Space on AWS | June 19, 2018 2 MILLIONS OF PEOPLE LIVING AND WORKING IN SPACE OUR VISION
  • 3. Blue Origin Proprietary & Confidential | New Shepard Flight History Vertical takeoff, vertical landing Designed to carry six astronauts and payloads Reusable booster powered by BE-3 April 29, 2015 – Successful ascent, capsule recovery; booster not recovered November 23, 2015 – Historic rocket landing from space January 22, 2016 – First reuse of a rocket flown to space April 2, 2016 – Third flight of booster June 19, 2016 – Fourth flight of booster; one chute out October 5, 2016 – Fifth flight of booster; in-flight escape December 12, 2017 – Successful first mission of next-gen booster Planned 2018 – Continued test flights 3Earth and Space on AWS | June 19, 2018 Planned 2019 – First Commercial Human Spaceflight April 29, 2018 – Second flight of next-gen booster; additional science payloads
  • 4. Ring Fin Aft Fin Landing Gear Wedge Fins & Drag Brakes Engine Restart Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential | How to Make a Rocket Reusable
  • 5. Blue Origin Proprietary & Confidential | 5 New Shepard Suborbital Capability Earth and Space on AWS | June 19, 2018 COMMERCIAL CAPABILITIES 100 km apogee Payloads from 1 to 250 lbm ~3 minutes of milli-g accelerations Internal and external interfaces Future human-tended capabilities KEY APPLICATIONS Basic and applied microgravity research Earth, atmospheric, and space sciences Technology risk reduction demos Education and outreach collaborations
  • 6. Blue Origin Proprietary & Confidential |BLUE ORIGIN PROPRIETARY & CONFIDENTIAL
  • 7. Blue Origin Proprietary & Confidential |
  • 8. Blue Origin Proprietary & Confidential | New Shepard Design Cycle 8 TIMELINE DESIGN New Shepard was designed and built in 3 years with ~200 people • Among the first users of AWS • Amazon EC2 • Amazon S3 • Amazon Simple Queue Service (SQS) • Before AWS IAM, Amazon Glacier, Amazon Redshift, AWS Lambda, SageMaker, … Early AWS applications focused on on-demand compute capability: • Crew Capsule Outer Mold Line (OML) development • Aerodynamic database development • Engine loads and thermal analysis • Prototype 6 Degree-of-Freedom (6-DOF) Monte-Carlo development • Post-flight data reconstruction Earth and Space on AWS | June 19, 2018
  • 9. Blue Origin Proprietary & Confidential | Crew Capsule: Aerodynamic Database Development 9 CONSIDERED MANY (> 100) DIFFERENT CONFIGURATIONS PARAMETRIC SWEEPS For each configuration sweep  Mach Number  Angle of attack  … To generate static aerodynamic coefficients for stability, control, simulation, packaging, and other analysis Earth and Space on AWS | June 19, 2018 EMBARRASSINGLY PARALLEL First instantiation of in-house tools based on Amazon AWS  Amazon EC2, Amazon S3
  • 10. Blue Origin Proprietary & Confidential | Post-Flight Reconstruction 10 LANDING OSCILLATIONS Landing Oscillations observed in attitude during early landings Fault tree created: • Engine plume reducing vehicle’s static stability • Unsteady plume shedding created chaotic large-magnitude disturbances • Control coupling effects • Reduced Aft-Fin effectiveness or Aft-Fin control reversal Earth and Space on AWS | June 19, 2018 Infrared video of propulsion module landing showing engine plume
  • 11. Blue Origin Proprietary & Confidential | Post-Flight Reconstruction 11 UNSTEADY CFD AND 6-DOF ANALYSIS Conducted unsteady Computational Fluid Dynamics (CFD) analysis using forces and moments backed out from flight data • Unsteady plume shedding created chaotic large-magnitude disturbances • 6-DOF Simulation and Monte-Carlo analysis Earth and Space on AWS | June 19, 2018 RESULTED IN FLIGHT SOFTWARE UPDATESUpdated landing strategy on M4 to minimize the unsteady oscillation • Increased engine thrust cap • Faded in TVC control earlier • Moved engine restart to a lower altitude THAT SUCCESSFULLY RESOLVED THE ISSUEAttitude excursions all within limits on subsequent flights AWS and On-Demand HPC were the enablers Unsteady CFD Simulation
  • 12. Blue Origin Proprietary & Confidential | From Design to Operations 12 • Outer Mold Line (OML) and Aero Database Development • Engine Design • Post-Flight Reconstruction • Simulation Earth and Space on AWS | June 19, 2018 DESIGN OPERATIONS • In-house built system for storing time series data (telemetry) • Test Stands • Flight Data • Hardware-in-the-Loop and Lab Testing • Streamed and batch data • Enables seamless transfer and usage of data across mission operations, sim labs and engineering • Amazon S3 and Amazon DynamoDB
  • 13. Blue Origin Proprietary & Confidential | On-Demand HPC using AWS Initial internal capability (2008-2009) Supported embarrassingly parallel jobs; simple job management Based on EC2 and S3 Custom encryption and security handling Second generation (2010-2011) Added MPI Support; Cluster of Clusters More advanced job and data management, robust data transfer Third generation (2016-2017) Simpler API Native Server Side Encryption; additional HPC applications 13Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential | ON-DEMAND HPC CLUSTERS NEW SHEPARD NEW GLENN 2-STAGE NEW GLENN LANDED BOOSTER SATURN V HIGH PERFORMANCE COMPUTING EXAMPLES Aero: 20M-100M cells; 200-400 cores; overnight or 1-2 day turnaround Combusting CFD: 1M-200M cells; 200-2000 cores; 3 days to several week turnaround FEA: 1M-10M degrees-of-freedom; 32-128 cores; 1 day turnaround
  • 14. Blue Origin Proprietary & Confidential | Step By Step Ferociously NewShepardsuborbital system in flighttestingstage Propulsion Module Crew Capsule BE-3 Engine NewGlennorbital system in development Reusable first stage Initially expendable upper stages BE-4 & BE-3U Engines NewGlenn2-stageperformance: Leo (200 km) GTO (1800 M/S) The Gradatim Ferociter Approach Reusable First Stage Expendable Upper Stage 7m Fairing Orbital New Glenn System Suborbital New Shepard System Crew Capsule Propulsion Module 14Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential | 45 TON 13 TON
  • 15. Blue Origin Proprietary & Confidential | BE-4 LNG Engine 15 SPECIFICATIONS DEVELOPMENT Liquid Oxygen, Liquefied Natural Gas (LOx/LNG) Engine • Oxygen Rich Staged Combustion (ORSC) cycle • 550,000 lbf (2400 kN) sea level thrust LNG Fuel • Commercially available liquefied methane • Established supply chain • Enables autogenous tank pressurization, eliminates helium • Low cost enables extended development test program • Hundreds of LOx/LNG ignitions over a variety of conditions • Lower carbon emission alternative Partnership with United Launch Alliance (ULA)  Single part number engine for both ULA’s Vulcan and Blue Origin’s New Glenn In-house, fully-funded development underway since 2011 Not dependent on the U.S. government for funding Earth and Space on AWS | June 19, 2018
  • 16. Blue Origin Proprietary & Confidential | Continued AWS Investment NewGlenn: Configuration design Primary CFD cluster for external flow analysis, including database development, wind-tunnel pre-test predictions, aero- and aero-thermal analysis Launch Pad design BE-4 Engine: Finite Element analysis (FEA) Primary CFD cluster for all internal flow analysis, including combusting CFD MATLAB clusters for heavy computation Operations: Time Series Data Storage 16Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential | Because of what AWS has enabled us to do, we’re now using AWS for the BE-4 engine and New Glenn vehicle designs.
  • 17. Blue Origin Proprietary & Confidential | Continued AWS Investment Business Systems: Blue Origin Public Website Autoscaling to support livestream of missions on launch days Amazon EC2, AWS Lambda, and Amazon SQS to accept technical data for payload customers Redshift coupled with Tableau for business intelligence • Storage and delivery of media related to the manufacturing of our vehicles, engines, and test stands to the manufacturing floor • CloudWatch for monitoring • RDS servers for a variety of different services which allow us to offload the operational overhead of managing in- house servers 17Earth and Space on AWS | June 19, 2018Blue Origin Proprietary & Confidential |
  • 18. Blue Origin Proprietary & Confidential | Amazon Web Services 18 • AWS Lambda • Amazon RDS • Amazon Cloudwatch • AWS Cloudtrail • Amazon Dynamodb • Amazon EC2 • Amazon Glacier • Amazon Kinesis – (demo) • Amazon Redshift • Amazon SQS • Amazon S3 • Amazon VPC • VPN Earth and Space on AWS | June 19, 2018 GOV CLOUD PUBLIC CLOUD • AWS Glue – (demo) • AWS Lambda • AWS Step – (demo) • AWS Cloudtrail • Amazon Cloudwatch • Amazon EC2 • Deep learning AMI • Amazon DynamoDB • Amazon Quicksight – (demo) • Amazon SageMaker • Amazon S3 • Amazon VPC • VPN
  • 19. Dean Kassmann, Ph.D. HEAD OF ADVANCED TECHNOLOGY dkassmann@blueorigin.com +1 (253) 437-9300
  • 20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Thank you! Please submit feedback in the app under ‘Session Details’.