SlideShare a Scribd company logo
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
November 30, 2016
Busting the Myth of Vendor Lock-In
How D2L Embraced the Lock and Opened the Cage
ARC318
Ben Snively (AWS)
Stephen S. Skrzydlo and Stan Przychodzki
Stephen.Skrzydlo@D2L.com Stan.Przychodzki@D2L.com
What to Expect from the Session
AWS cloud
The Basics Amazon
EC2
Who’s afraid of
Amazon EC2?
Usage Curve
Usage Curve – Self-Hosting Provisioning
Usage Curve – Reserved Instances
Amazon
EC2
Why is no one afraid of EC2?
Virtualization already
paved that road
We’re not afraid of
what we’re used to
Amazon
EC2
D2L shops at the Content Store
Don’t forget the tax
Round 1: DFSR
• At least 2 windows
• Each with 12 TB of
• Cost curve looks familiar
• High minimum
• Step function
Amazon EBS
instances
$-
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
170
180
190
200
MonthlyCost
TB Storage
Round 2: NetApp ONTAP
• At least 2 ONTAP
• Each with 50 TB of
• Cost curve is better but…
• Still a step function!
Amazon EBS
instances
$-
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
170
180
190
200
MonthlyCost
TB Storage
Round 3: S3
• Standard storage
• Bye-bye step function
• But… that’s not a CIFS
share, we’d need to change
our product!
Amazon
S3
bucket
$-
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
170
180
190
MonthlyCost
TB Storage
The dreaded Vendor Lock-in
And here we see it, changing the code to handle S3
instead of CIFS shares. Think of the poor developers!
Yes, let’s think of them… Math time!
ROI = <Estimated Cost of Dev Effort>
---------------------------------------------------------------------
(<OpExold> - <OpExnew>)
(Watch your units)
$-
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
$50,000
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
170
180
190
MonthlyCost
TB Storage
Why not EFS?
Doesn’t meet our needs
Costs more
Amazon EFS
Don’t compete outside
your core competency
Amazon
Route 53
DNS and Caching Amazon
ElastiCache
DNS
“Transforming the way the
world learns”
Not: “implementing DNS”
Amazon
Route 53
$
Number of domains
DNS
“Transforming the way the
world learns”
Not: “implementing DNS”
Amazon
Route 53
$
Number of domains
Caching
“Transforming the way the
world learns”
Not: “re-implementing
Memcached”
Amazon
ElastiCache
$-
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
$8,000
$9,000
Number of instances
Scaling and Opportunity Cost
If D2L were to have 1 DNS
specialist that would be like
Amazon having
Classic Build vs. Buy pattern
Better integration into the rest
of the ecosystem
Just superior feature sets
The Cloud is NOT a
Hosting Facility in the Sky
Logging Errors Amazon Kinesis
Firehose
Amazon
Kinesis
Amazon
Elasticsearch Service
SQL as a Logging Database – Legacy Design
• Unpleasant to search
• Only 30 days retained
• Hardcoded sharding
• Costly
50
100
150
200
250
300
350
400
450
500
550
600
650
700
750
800
850
900
950
1000
$
TB
Kinesis Firehose -> Elasticsearch
(with S3)
• Designed for search
• 12 months retained
• Could retain more
• Sharding by choice
• Cheaper (~1/4th the cost)
50
100
150
200
250
300
350
400
450
500
550
600
650
700
750
800
850
900
950
1000
$
TB
Amazon Kinesis
Firehose
Amazon
Elasticsearch Service
Amazon
S3
PaaS GOOD
IaaS BAD
Big Data Lessons Amazon
Redshift
Amazon
EMR
Original “Hosted” Design
• Pure self-roll
• Self-hosted
• Very high floor costs
• Concerns over multiregion
requirements
• IaaS $
Time
AWS “Lifted” Design – In Theory
• Pure self-roll
• AWS hosted
• Much better floor costs
• Concern over crossover
point
• IaaS $
Time
AWS “Lifted” Design – In Practice
• Self-roll
• AWS hosted
• Much better floor costs
• Concern over crossover
point
• IaaS $
Time
AWS Native Design
• AWS native
• AWS hosted
• Jump in with both feet
• Crossover point becomes
hilarious
• PaaS $
Time
Amazon
EMR
Amazon
Redshift
People
OPPORTUNITY
COST
“Understand motivations”
3rd Party Pushback
People
Recap
• Who’s afraid of EC2?
• Don’t forget to account for all costs
• Don’t compete outside your core competency
• The cloud is not a Hosting Facility in the Sky
• PaaS > IaaS
• This AWS thing might stick around for a bit
Integrating AWS with existing On-Prem Solutions
Integrated
networking
Integrated
access control
Integrated
storage and
backups
Integrated
Management
# 10.0.100.0
# 10.0.200.0
Microsoft Active
Directory,
OTKA,
Shib,
Etc..
App 1
AWS Storage
Gateway
Integrating AWS with existing On-Prem Infrastructure
…
Amazon EFS
File
Amazon EBS
Amazon EC2
Instance Store
Block
Amazon S3 Amazon Glacier
Object
Data Transfer
AWS Direct
Connect
AWS
Snowball
ISV Connectors Amazon
Kinesis
Firehose
S3 Transfer
Acceleration
AWS Storage
Gateway
Storage is a platform: AWS Storage Maturity
AWS Database
Migration Service
Start your first migration in 10 minutes or less
Keep your apps running during the migration
Replicate within, to, or from Amazon EC2 or Amazon RDS
Move data to the same or different database engineAWS Schema
Conversion Tool
AWS Application Discovery Service
Identify application
Inventory
Map application
dependencies
Baseline system and
process performance
Automate data center application discovery
AWS Server Migration Service
• Support VMWare VMs migration
• Agentless VM Migration
• Capture incremental changes
• Migrate a group of VMs
• Management Console/API Access
• Launch EC2 instances from AMIs
Thank you!
Ben Snively (AWS)
snivelyb@amazon.com
Stephen S. Skrzydlo and Stan Przychodzki
Stephen.Skrzydlo@D2L.com Stan.Przychodzki@D2L.com
Remember to complete
your evaluations!

More Related Content

What's hot

Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksSelecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Amazon Web Services
 
Getting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWSGetting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWS
Amazon Web Services
 
Amazon Aurora New Features - September 2016 Webinar Series
Amazon Aurora New Features - September 2016 Webinar SeriesAmazon Aurora New Features - September 2016 Webinar Series
Amazon Aurora New Features - September 2016 Webinar Series
Amazon Web Services
 
Getting started with Amazon Kinesis
Getting started with Amazon KinesisGetting started with Amazon Kinesis
Getting started with Amazon Kinesis
Amazon Web Services
 
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
Amazon Web Services
 
BDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMR
BDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMRBDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMR
BDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMR
Amazon Web Services
 
ENT306 Migrating Large Scale Data Sets to the Cloud
ENT306 Migrating Large Scale Data Sets to the CloudENT306 Migrating Large Scale Data Sets to the Cloud
ENT306 Migrating Large Scale Data Sets to the Cloud
Amazon Web Services
 
ENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million usersENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million users
Amazon Web Services
 
Getting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWSGetting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWS
Amazon Web Services
 
Getting Started with Amazon Aurora
Getting Started with Amazon AuroraGetting Started with Amazon Aurora
Getting Started with Amazon Aurora
Amazon Web Services
 
Getting Started with Amazon Aurora
Getting Started with Amazon AuroraGetting Started with Amazon Aurora
Getting Started with Amazon Aurora
Amazon Web Services
 
Building Your First Big Data Application on AWS
Building Your First Big Data Application on AWSBuilding Your First Big Data Application on AWS
Building Your First Big Data Application on AWS
Amazon Web Services
 
Cost Optimisation on AWS
Cost Optimisation on AWSCost Optimisation on AWS
Cost Optimisation on AWS
Amazon Web Services
 
Building Big Data Applications on AWS
Building Big Data Applications on AWSBuilding Big Data Applications on AWS
Building Big Data Applications on AWS
Amazon Web Services
 
February 2016 Webinar Series - Introduction to AWS Database Migration Service
February 2016 Webinar Series - Introduction to AWS Database Migration ServiceFebruary 2016 Webinar Series - Introduction to AWS Database Migration Service
February 2016 Webinar Series - Introduction to AWS Database Migration Service
Amazon Web Services
 
Getting Started with the Hybrid Cloud: Enterprise Backup and Recovery
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryGetting Started with the Hybrid Cloud: Enterprise Backup and Recovery
Getting Started with the Hybrid Cloud: Enterprise Backup and Recovery
Amazon Web Services
 
Running Microsoft Workloads on AWS
Running Microsoft Workloads on AWSRunning Microsoft Workloads on AWS
Running Microsoft Workloads on AWS
Amazon Web Services
 
Your First 10 million Users on the AWS Cloud
Your First 10 million Users on the AWS CloudYour First 10 million Users on the AWS Cloud
Your First 10 million Users on the AWS Cloud
Amazon Web Services
 
Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013
Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013
Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013
Amazon Web Services
 
Building an Amazon Datawarehouse and Using Business Intelligence Analytics Tools
Building an Amazon Datawarehouse and Using Business Intelligence Analytics ToolsBuilding an Amazon Datawarehouse and Using Business Intelligence Analytics Tools
Building an Amazon Datawarehouse and Using Business Intelligence Analytics Tools
Amazon Web Services
 

What's hot (20)

Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech TalksSelecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
Selecting the Right AWS Database Solution - AWS 2017 Online Tech Talks
 
Getting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWSGetting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWS
 
Amazon Aurora New Features - September 2016 Webinar Series
Amazon Aurora New Features - September 2016 Webinar SeriesAmazon Aurora New Features - September 2016 Webinar Series
Amazon Aurora New Features - September 2016 Webinar Series
 
Getting started with Amazon Kinesis
Getting started with Amazon KinesisGetting started with Amazon Kinesis
Getting started with Amazon Kinesis
 
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
AWS re:Invent 2016: Deep Dive on Amazon Relational Database Service (DAT305)
 
BDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMR
BDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMRBDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMR
BDA302 Deep Dive on Migrating Big Data Workloads to Amazon EMR
 
ENT306 Migrating Large Scale Data Sets to the Cloud
ENT306 Migrating Large Scale Data Sets to the CloudENT306 Migrating Large Scale Data Sets to the Cloud
ENT306 Migrating Large Scale Data Sets to the Cloud
 
ENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million usersENT309 scaling up to your first 10 million users
ENT309 scaling up to your first 10 million users
 
Getting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWSGetting Started with Managed Database Services on AWS
Getting Started with Managed Database Services on AWS
 
Getting Started with Amazon Aurora
Getting Started with Amazon AuroraGetting Started with Amazon Aurora
Getting Started with Amazon Aurora
 
Getting Started with Amazon Aurora
Getting Started with Amazon AuroraGetting Started with Amazon Aurora
Getting Started with Amazon Aurora
 
Building Your First Big Data Application on AWS
Building Your First Big Data Application on AWSBuilding Your First Big Data Application on AWS
Building Your First Big Data Application on AWS
 
Cost Optimisation on AWS
Cost Optimisation on AWSCost Optimisation on AWS
Cost Optimisation on AWS
 
Building Big Data Applications on AWS
Building Big Data Applications on AWSBuilding Big Data Applications on AWS
Building Big Data Applications on AWS
 
February 2016 Webinar Series - Introduction to AWS Database Migration Service
February 2016 Webinar Series - Introduction to AWS Database Migration ServiceFebruary 2016 Webinar Series - Introduction to AWS Database Migration Service
February 2016 Webinar Series - Introduction to AWS Database Migration Service
 
Getting Started with the Hybrid Cloud: Enterprise Backup and Recovery
Getting Started with the Hybrid Cloud: Enterprise Backup and RecoveryGetting Started with the Hybrid Cloud: Enterprise Backup and Recovery
Getting Started with the Hybrid Cloud: Enterprise Backup and Recovery
 
Running Microsoft Workloads on AWS
Running Microsoft Workloads on AWSRunning Microsoft Workloads on AWS
Running Microsoft Workloads on AWS
 
Your First 10 million Users on the AWS Cloud
Your First 10 million Users on the AWS CloudYour First 10 million Users on the AWS Cloud
Your First 10 million Users on the AWS Cloud
 
Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013
Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013
Scaling on AWS for the First 10 Million Users (ARC206) | AWS re:Invent 2013
 
Building an Amazon Datawarehouse and Using Business Intelligence Analytics Tools
Building an Amazon Datawarehouse and Using Business Intelligence Analytics ToolsBuilding an Amazon Datawarehouse and Using Business Intelligence Analytics Tools
Building an Amazon Datawarehouse and Using Business Intelligence Analytics Tools
 

Viewers also liked

AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...
Amazon Web Services
 
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)
Amazon Web Services
 
Databases
DatabasesDatabases
Design in Tech Report 2017
Design in Tech Report 2017Design in Tech Report 2017
Design in Tech Report 2017
John Maeda
 
AWS re:Invent 2016 Recap in Hong Kong Keynote
AWS re:Invent 2016 Recap in Hong Kong KeynoteAWS re:Invent 2016 Recap in Hong Kong Keynote
AWS re:Invent 2016 Recap in Hong Kong Keynote
Amazon Web Services
 
Ask an Expert: What Amazon Vendors Need to Know About A+ Content
Ask an Expert: What Amazon Vendors Need to Know About A+ ContentAsk an Expert: What Amazon Vendors Need to Know About A+ Content
Ask an Expert: What Amazon Vendors Need to Know About A+ Content
Tinuiti
 
We Are Social: Curiosity Stop #17
We Are Social: Curiosity Stop #17We Are Social: Curiosity Stop #17
We Are Social: Curiosity Stop #17
We Are Social
 
AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...
AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...
AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...
Amazon Web Services
 
9/ IBM POWER @ OPEN'16
9/ IBM POWER @ OPEN'169/ IBM POWER @ OPEN'16
9/ IBM POWER @ OPEN'16
Kangaroot
 
AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...
AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...
AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...
Amazon Web Services
 
Understanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageUnderstanding the IBM Power Systems Advantage
Understanding the IBM Power Systems Advantage
IBM Power Systems
 
IBM Power Systems Announcement Update
IBM Power Systems Announcement UpdateIBM Power Systems Announcement Update
IBM Power Systems Announcement Update
David Spurway
 
AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...
AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...
AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...
Amazon Web Services
 
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
Amazon Web Services
 
Live Q&A Broadcast: Maximizing Your Vendor Relationship with Amazon
Live Q&A Broadcast: Maximizing Your Vendor Relationship with AmazonLive Q&A Broadcast: Maximizing Your Vendor Relationship with Amazon
Live Q&A Broadcast: Maximizing Your Vendor Relationship with Amazon
Tinuiti
 
AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...
AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...
AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...
Amazon Web Services
 
IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17
David Spurway
 
Presentation linux on power
Presentation   linux on powerPresentation   linux on power
Presentation linux on power
solarisyougood
 
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)
Amazon Web Services
 
AWS re:Invent 2016: Attitude of Iteration (ARC209)
AWS re:Invent 2016: Attitude of Iteration (ARC209)AWS re:Invent 2016: Attitude of Iteration (ARC209)
AWS re:Invent 2016: Attitude of Iteration (ARC209)
Amazon Web Services
 

Viewers also liked (20)

AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...
 
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)
AWS re:Invent 2016: Born in the Cloud; Built Like a Startup (ARC205)
 
Databases
DatabasesDatabases
Databases
 
Design in Tech Report 2017
Design in Tech Report 2017Design in Tech Report 2017
Design in Tech Report 2017
 
AWS re:Invent 2016 Recap in Hong Kong Keynote
AWS re:Invent 2016 Recap in Hong Kong KeynoteAWS re:Invent 2016 Recap in Hong Kong Keynote
AWS re:Invent 2016 Recap in Hong Kong Keynote
 
Ask an Expert: What Amazon Vendors Need to Know About A+ Content
Ask an Expert: What Amazon Vendors Need to Know About A+ ContentAsk an Expert: What Amazon Vendors Need to Know About A+ Content
Ask an Expert: What Amazon Vendors Need to Know About A+ Content
 
We Are Social: Curiosity Stop #17
We Are Social: Curiosity Stop #17We Are Social: Curiosity Stop #17
We Are Social: Curiosity Stop #17
 
AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...
AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...
AWS re:Invent 2016: Metering Big Data at AWS: From 0 to 100 Million Records i...
 
9/ IBM POWER @ OPEN'16
9/ IBM POWER @ OPEN'169/ IBM POWER @ OPEN'16
9/ IBM POWER @ OPEN'16
 
AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...
AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...
AWS re:Invent 2016: Industry Opportunities for AWS Partners: Healthcare, Fina...
 
Understanding the IBM Power Systems Advantage
Understanding the IBM Power Systems AdvantageUnderstanding the IBM Power Systems Advantage
Understanding the IBM Power Systems Advantage
 
IBM Power Systems Announcement Update
IBM Power Systems Announcement UpdateIBM Power Systems Announcement Update
IBM Power Systems Announcement Update
 
AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...
AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...
AWS re:Invent 2016: Moving Mission Critical Apps from One Region to Multi-Reg...
 
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
AWS re:Invent 2016: High Performance Computing on AWS (CMP207)
 
Live Q&A Broadcast: Maximizing Your Vendor Relationship with Amazon
Live Q&A Broadcast: Maximizing Your Vendor Relationship with AmazonLive Q&A Broadcast: Maximizing Your Vendor Relationship with Amazon
Live Q&A Broadcast: Maximizing Your Vendor Relationship with Amazon
 
AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...
AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...
AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BD...
 
IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17IBM Power Systems Update 1Q17
IBM Power Systems Update 1Q17
 
Presentation linux on power
Presentation   linux on powerPresentation   linux on power
Presentation linux on power
 
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)
AWS re:Invent 2016: IoT Visualizations and Analytics (IOT306)
 
AWS re:Invent 2016: Attitude of Iteration (ARC209)
AWS re:Invent 2016: Attitude of Iteration (ARC209)AWS re:Invent 2016: Attitude of Iteration (ARC209)
AWS re:Invent 2016: Attitude of Iteration (ARC209)
 

Similar to AWS re:Invent 2016: Busting the Myth of Vendor Lock-In: How D2L Embraced the Lock and Opened the Cage (ARC318)

Deep Dive: Scaling Up to Your First 10 Million Users
Deep Dive: Scaling Up to Your First 10 Million UsersDeep Dive: Scaling Up to Your First 10 Million Users
Deep Dive: Scaling Up to Your First 10 Million Users
Amazon Web Services
 
Escalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuariosEscalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuarios
Amazon Web Services LATAM
 
Aplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuariosAplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuarios
Amazon Web Services
 
Scaling up to your first 10 million users - Pop-up Loft Tel Aviv
Scaling up to your first 10 million users - Pop-up Loft Tel AvivScaling up to your first 10 million users - Pop-up Loft Tel Aviv
Scaling up to your first 10 million users - Pop-up Loft Tel Aviv
Amazon Web Services
 
Escalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuariosEscalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuarios
Amazon Web Services LATAM
 
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
Amazon Web Services
 
Your First 10 Million Users with Amazon Web Services
Your First 10 Million Users with Amazon Web ServicesYour First 10 Million Users with Amazon Web Services
Your First 10 Million Users with Amazon Web Services
Amazon Web Services
 
AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...
AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...
AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...
Amazon Web Services
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
Amazon Web Services
 
AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)
AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)
AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)
Amazon Web Services
 
Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)
Amazon Web Services
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
Amazon Web Services
 
Scale, baby, scale
Scale, baby, scaleScale, baby, scale
Scale, baby, scale
Julien SIMON
 
"How to optimize the architecture of your platform" by Julien Simon
"How to optimize the architecture of your platform" by Julien Simon"How to optimize the architecture of your platform" by Julien Simon
"How to optimize the architecture of your platform" by Julien Simon
TheFamily
 
[Jun AWS 201] Technical Workshop
[Jun AWS 201] Technical Workshop[Jun AWS 201] Technical Workshop
[Jun AWS 201] Technical Workshop
Amazon Web Services Korea
 
AWS Black Belt Tips
AWS Black Belt TipsAWS Black Belt Tips
AWS Black Belt Tips
Amazon Web Services
 
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
Amazon Web Services
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
Amazon Web Services
 
Scaling up to Your First 10 Million Users
Scaling up to Your First 10 Million UsersScaling up to Your First 10 Million Users
Scaling up to Your First 10 Million Users
Amazon Web Services
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
Amazon Web Services
 

Similar to AWS re:Invent 2016: Busting the Myth of Vendor Lock-In: How D2L Embraced the Lock and Opened the Cage (ARC318) (20)

Deep Dive: Scaling Up to Your First 10 Million Users
Deep Dive: Scaling Up to Your First 10 Million UsersDeep Dive: Scaling Up to Your First 10 Million Users
Deep Dive: Scaling Up to Your First 10 Million Users
 
Escalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuariosEscalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuarios
 
Aplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuariosAplicaciones a gran escala: Cómo servir a millones de usuarios
Aplicaciones a gran escala: Cómo servir a millones de usuarios
 
Scaling up to your first 10 million users - Pop-up Loft Tel Aviv
Scaling up to your first 10 million users - Pop-up Loft Tel AvivScaling up to your first 10 million users - Pop-up Loft Tel Aviv
Scaling up to your first 10 million users - Pop-up Loft Tel Aviv
 
Escalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuariosEscalando hasta sus primeros 10 millones de usuarios
Escalando hasta sus primeros 10 millones de usuarios
 
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
AWS Summit London 2014 | Scaling on AWS for the First 10 Million Users (200)
 
Your First 10 Million Users with Amazon Web Services
Your First 10 Million Users with Amazon Web ServicesYour First 10 Million Users with Amazon Web Services
Your First 10 Million Users with Amazon Web Services
 
AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...
AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...
AWS Summit Stockholm 2014 – T1 – Architecting highly available applications o...
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
 
AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)
AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)
AWS re:Invent 2016: Running Batch Jobs on Amazon ECS (CON310)
 
Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)Why Scale Matters and How the Cloud is Really Different (at scale)
Why Scale Matters and How the Cloud is Really Different (at scale)
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
 
Scale, baby, scale
Scale, baby, scaleScale, baby, scale
Scale, baby, scale
 
"How to optimize the architecture of your platform" by Julien Simon
"How to optimize the architecture of your platform" by Julien Simon"How to optimize the architecture of your platform" by Julien Simon
"How to optimize the architecture of your platform" by Julien Simon
 
[Jun AWS 201] Technical Workshop
[Jun AWS 201] Technical Workshop[Jun AWS 201] Technical Workshop
[Jun AWS 201] Technical Workshop
 
AWS Black Belt Tips
AWS Black Belt TipsAWS Black Belt Tips
AWS Black Belt Tips
 
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
 
Scaling up to Your First 10 Million Users
Scaling up to Your First 10 Million UsersScaling up to Your First 10 Million Users
Scaling up to Your First 10 Million Users
 
Scaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million UsersScaling on AWS for the First 10 Million Users
Scaling on AWS for the First 10 Million Users
 

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 AWS
Amazon 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 Deck
Amazon Web Services
 
Building a web application without servers
Building a web application without serversBuilding a web application without servers
Building a web application without servers
Amazon Web Services
 
Fundraising Essentials
Fundraising EssentialsFundraising Essentials
Fundraising Essentials
Amazon 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
 

Recently uploaded

Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
SitimaJohn
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation TechniquesWeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Postman
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying AheadDigital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Wask
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Hiroshi SHIBATA
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
DanBrown980551
 
Recommendation System using RAG Architecture
Recommendation System using RAG ArchitectureRecommendation System using RAG Architecture
Recommendation System using RAG Architecture
fredae14
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Edge AI and Vision Alliance
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 

Recently uploaded (20)

Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxOcean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation TechniquesWeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying AheadDigital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides5th LF Energy Power Grid Model Meet-up Slides
5th LF Energy Power Grid Model Meet-up Slides
 
Recommendation System using RAG Architecture
Recommendation System using RAG ArchitectureRecommendation System using RAG Architecture
Recommendation System using RAG Architecture
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 

AWS re:Invent 2016: Busting the Myth of Vendor Lock-In: How D2L Embraced the Lock and Opened the Cage (ARC318)

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. November 30, 2016 Busting the Myth of Vendor Lock-In How D2L Embraced the Lock and Opened the Cage ARC318 Ben Snively (AWS) Stephen S. Skrzydlo and Stan Przychodzki Stephen.Skrzydlo@D2L.com Stan.Przychodzki@D2L.com
  • 2. What to Expect from the Session AWS cloud
  • 3. The Basics Amazon EC2 Who’s afraid of Amazon EC2?
  • 5. Usage Curve – Self-Hosting Provisioning
  • 6. Usage Curve – Reserved Instances Amazon EC2
  • 7. Why is no one afraid of EC2? Virtualization already paved that road We’re not afraid of what we’re used to Amazon EC2
  • 8. D2L shops at the Content Store Don’t forget the tax
  • 9. Round 1: DFSR • At least 2 windows • Each with 12 TB of • Cost curve looks familiar • High minimum • Step function Amazon EBS instances $- $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 $40,000 $45,000 $50,000 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 MonthlyCost TB Storage
  • 10. Round 2: NetApp ONTAP • At least 2 ONTAP • Each with 50 TB of • Cost curve is better but… • Still a step function! Amazon EBS instances $- $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 $40,000 $45,000 $50,000 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 MonthlyCost TB Storage
  • 11. Round 3: S3 • Standard storage • Bye-bye step function • But… that’s not a CIFS share, we’d need to change our product! Amazon S3 bucket $- $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 $40,000 $45,000 $50,000 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 MonthlyCost TB Storage
  • 12. The dreaded Vendor Lock-in And here we see it, changing the code to handle S3 instead of CIFS shares. Think of the poor developers! Yes, let’s think of them… Math time! ROI = <Estimated Cost of Dev Effort> --------------------------------------------------------------------- (<OpExold> - <OpExnew>) (Watch your units)
  • 14. Don’t compete outside your core competency Amazon Route 53 DNS and Caching Amazon ElastiCache
  • 15. DNS “Transforming the way the world learns” Not: “implementing DNS” Amazon Route 53 $ Number of domains
  • 16. DNS “Transforming the way the world learns” Not: “implementing DNS” Amazon Route 53 $ Number of domains
  • 17. Caching “Transforming the way the world learns” Not: “re-implementing Memcached” Amazon ElastiCache $- $1,000 $2,000 $3,000 $4,000 $5,000 $6,000 $7,000 $8,000 $9,000 Number of instances
  • 18. Scaling and Opportunity Cost If D2L were to have 1 DNS specialist that would be like Amazon having Classic Build vs. Buy pattern Better integration into the rest of the ecosystem Just superior feature sets
  • 19. The Cloud is NOT a Hosting Facility in the Sky Logging Errors Amazon Kinesis Firehose Amazon Kinesis Amazon Elasticsearch Service
  • 20. SQL as a Logging Database – Legacy Design • Unpleasant to search • Only 30 days retained • Hardcoded sharding • Costly 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 950 1000 $ TB
  • 21. Kinesis Firehose -> Elasticsearch (with S3) • Designed for search • 12 months retained • Could retain more • Sharding by choice • Cheaper (~1/4th the cost) 50 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 950 1000 $ TB Amazon Kinesis Firehose Amazon Elasticsearch Service Amazon S3
  • 22. PaaS GOOD IaaS BAD Big Data Lessons Amazon Redshift Amazon EMR
  • 23. Original “Hosted” Design • Pure self-roll • Self-hosted • Very high floor costs • Concerns over multiregion requirements • IaaS $ Time
  • 24. AWS “Lifted” Design – In Theory • Pure self-roll • AWS hosted • Much better floor costs • Concern over crossover point • IaaS $ Time
  • 25. AWS “Lifted” Design – In Practice • Self-roll • AWS hosted • Much better floor costs • Concern over crossover point • IaaS $ Time
  • 26. AWS Native Design • AWS native • AWS hosted • Jump in with both feet • Crossover point becomes hilarious • PaaS $ Time Amazon EMR Amazon Redshift
  • 30. Recap • Who’s afraid of EC2? • Don’t forget to account for all costs • Don’t compete outside your core competency • The cloud is not a Hosting Facility in the Sky • PaaS > IaaS • This AWS thing might stick around for a bit
  • 31. Integrating AWS with existing On-Prem Solutions
  • 32. Integrated networking Integrated access control Integrated storage and backups Integrated Management # 10.0.100.0 # 10.0.200.0 Microsoft Active Directory, OTKA, Shib, Etc.. App 1 AWS Storage Gateway Integrating AWS with existing On-Prem Infrastructure …
  • 33. Amazon EFS File Amazon EBS Amazon EC2 Instance Store Block Amazon S3 Amazon Glacier Object Data Transfer AWS Direct Connect AWS Snowball ISV Connectors Amazon Kinesis Firehose S3 Transfer Acceleration AWS Storage Gateway Storage is a platform: AWS Storage Maturity
  • 34. AWS Database Migration Service Start your first migration in 10 minutes or less Keep your apps running during the migration Replicate within, to, or from Amazon EC2 or Amazon RDS Move data to the same or different database engineAWS Schema Conversion Tool
  • 35. AWS Application Discovery Service Identify application Inventory Map application dependencies Baseline system and process performance Automate data center application discovery
  • 36. AWS Server Migration Service • Support VMWare VMs migration • Agentless VM Migration • Capture incremental changes • Migrate a group of VMs • Management Console/API Access • Launch EC2 instances from AMIs
  • 37. Thank you! Ben Snively (AWS) snivelyb@amazon.com Stephen S. Skrzydlo and Stan Przychodzki Stephen.Skrzydlo@D2L.com Stan.Przychodzki@D2L.com