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© 2019 WANdisco PLC. All rights reserved.
Overcome Data Gravity with
A LiveData Strategy
Strata Data 2019 — London
Joel S. Horwitz, Senior VP Marketing, WANdisco
© 2019 WANdisco PLC. All rights reserved.
© 2019 WANdisco PLC. All rights reserved.
© 2019 WANdisco PLC. All rights reserved.
© 2019 WANdisco PLC. All rights reserved.
Wide
Area
Network
Distributed
Computing
The experts in distributed
computing
A decentralized IT organization
requires a Platform to ensure
information availability and
consistency across multiple data
centers, development sites, data
clusters, and multiple clouds.
© 2019 WANdisco PLC. All rights reserved.
© 2019 WANdisco PLC. All rights reserved.
A platform for ANY IT Architecture
MultiSite Active
Backup
Disaster
Recovery
MultiCloud Data Lake Migration
FUSION
Security DConE Web UI SDK
LiveCode
Git Gerritt SVN
LiveData
Local/NFS HDFS Object Storage
IBM Alibaba Cloud AWS Azure Google Cloud Oracle
Cloud
Architect
Security
Manager
Data
Architect
Cloud
Engineer
Data
Operator
Data
Engineer
Persona
Solutions
Platform
IT Assets
Cloud
© 2019 WANdisco PLC. All rights reserved.
WANdisco FUSION Platform
Protect Your Investment
No downtime, no outages,
and no risk with guaranteed
near- zero RTO and RPO.
Transform Your IT Economics
Create a bedrock for
performance by fully utilizing
hardware previously reserved
for backup and recovery.
Break through constraints
Distribute all of your code and
data for developers to access at
the speed of business.
© 2019 WANdisco PLC. All rights reserved.
Hadoop to Hadoop
© 2019 WANdisco PLC. All rights reserved.
© 2019 WANdisco PLC. All rights reserved.
Customer Example: Hadoop to Hadoop
“One of the things that impressed us most
about the WANdisco Fusion platform was its
ability to resolve the data consistency
challenges of replicating large amounts of
data between active Hadoop clusters.”
Steven Swartzlander, Lead Architect at HM Health Solutions
© 2019 WANdisco PLC. All rights reserved.
Hadoop to Cloud
© 2019 WANdisco PLC. All rights reserved.
Customer Example: Hadoop to Cloud
Playtika used WANdisco Fusion to transfer data
to Amazon S3 as it changed in their on-premises
Cloudera Hadoop cluster. WANdisco Fusion’s
active data replication guaranteed data
consistency in both locations.
© 2019 WANdisco PLC. All rights reserved.
Cloud to Cloud
© 2019 WANdisco PLC. All rights reserved.
Customer Example: Cloud to Cloud
With WANdisco products, AMCO
can replicate all incoming
Application data from their
hosted instance in Mexico to
AWS.
© 2019 WANdisco PLC. All rights reserved.
The 3 stages of Data Movement to Cloud
BigData Movement to the
Cloud
Hybrid Data to Ensure
Business Continuity LiveData for MultiCloud
PHASE PHASE PHASE
321
• Single pass migration with
guaranteed consistency
• Minimal disruption to operations
• Maximize target ingest rate
• Every path becomes live as soon
as it is migrated
• Eliminate vendor lock-in
• Gain true data availability
• Reduce cost structures
• Easy Management of Multiple
Cloud Storage Providers
• No Vendor Lock-in
• Increased Data Availability
“Computer science still says
what we have done is
impossible… but it’s not.”
Dr. Yeturu Aahlad, Chief Scientist, Inventor & Co-founder
© 2019 WANdisco PLC. All rights reserved.
The LiveData Gap
© 2019 WANdisco PLC. All rights reserved.
WANdisco eliminates the LiveData gap
inconsistency, unused
capacity, economic
limitations
Multiplies IT’s ability to execute at any scale, with same budget
The
LiveData
Gap
© 2019 WANdisco PLC. All rights reserved.
WANdisco eliminates the LiveData gap
WANdisco Fusion
multiplier effect:
IT achieves more
with the same budget
Multiplies IT’s ability to execute at any scale, with same budget
LiveData
Multiplier
Effect
© 2019 WANdisco PLC. All rights reserved.
The LiveData Gap
20ZB
global data storage in
2016, growing to
160Zb in 2025
$46B
global storage spend
in 2016
$67B
global spend on public
cloud computing
Massive growth, massive investments: can’t keep up
© 2019 WANdisco PLC. All rights reserved.
A platform for ANY IT Architecture
© 2019 WANdisco PLC. All rights reserved.
Industries and Professions
Automotive Government Healthcare Financial Services Telecom
Energy Entertainment Retail Developer
Collaboration
Manufacturing
© 2019 WANdisco PLC. All rights reserved.
“WANdisco Fusion provides
consistent data across our cloud and
on-premises solutions, offering near-
zero RPO and enabling hybrid cloud
agility to drive the business forward.”
—
Ajay Prasad, Big Data Leader, AMD
© 2019 WANdisco PLC. All rights reserved.
“Of all the technologies we
evaluated, WANdisco Fusion
was the only solution that
offered the speed, guaranteed
data consistency, and
continuous replication we
required to analyze our patient
data.”
—
Dr. Susheel Varma, Technology Officer for the Center
for Computational Imaging & Simulation Technologies
in Biomedicine, The University of Sheffield
© 2019 WANdisco PLC. All rights reserved.
“WANdisco Fusion
ensures that all of our
sites are up and running
all of the time.”
—
Angela Thomas, Development Tools
Manager, Juniper Networks
© 2019 WANdisco PLC. All rights reserved.
“WANdisco enabled us to
upgrade our system
effortlessly with no issues
after we went live. We
are a very happy and
satisfied customer.”
—
Adinarayana Sreenath, Director, Big Data
Architecture, Envestnet | Yodlee
© 2019 WANdisco PLC. All rights reserved.
Our Strategic Partners
WANdisco’s industry-leading technology and services partners are ready to help you
deploy WANdisco Fusion and achieve LiveData.
© 2019 WANdisco PLC. All rights reserved.
Forward Thinking Executives have a LiveData Strategy
Fortune 50 Motor Vehicle Company
100%
uptime while moving massive
continuously changing sets of
vehicular data for driverless car
initiative
Fortune 50 Retailer
2X
compute capacity fully
deployed by reducing server
hardware requirements by
50%
Global 50 Bank
ZERO
planned outages while
seamlessly upgrading key
financial applications
David Richards, CEO & founder, WANdisco
“Founding a company is a personal
& intimate process that demands
huge amounts of passion,
commitment & energy.”
© 2019 WANdisco PLC. All rights reserved.
Demonstration
© 2019 WANdisco PLC. All rights reserved.
WANdisco Fusion coordinates
change
© 2019 WANdisco PLC. All rights reserved.
Let’s follow a simple scenario of one object PUT performed by one
client, using the LiveData for Multicloud Fusion product
Object x
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
User sends a request to create an object in object storage.
This goes through the Fusion Multicloud Proxy
Object x
Proposal to create an object
PUT
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Fusion Server gets this request from the Multicloud Proxy, and co-
ordinates the request with other Fusion Servers in a membership
Object x
Consensus to create the object
PUT
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
This membership emits a Global Sequence of operations
Object x
Replica Agreements
PUT
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Execution of the same Globally-Sequenced operation in
each location results in replica object creation
Object x
PUT
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Originating client PUTs via the proxy to its local object storage
Object x
Object write
PUT
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Object creation occurs locally at local speed with only
the consensus performed in addition so far
Object x
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Fusion is aware of the completion of that PUT and initiates
the transfer of content to other replicas
Object x Object x
Content replication
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Writes can occur in any location, while Fusion guarantees the
consistency of the object storage through consensus
Objec
t x Object x
A B C A B C
© 2019 WANdisco PLC. All rights reserved.
Multiple clients can operate in any location without
changing that consistency guarantee
© 2019 WANdisco PLC. All rights reserved.
Different types of underlying object storage can be used
© 2019 WANdisco PLC. All rights reserved.
This can extend beyond what the public cloud vendors offer as
internal, eventually-consistent replication only
© 2019 WANdisco PLC. All rights reserved.
Fusion can operate across arbitrary distance
© 2019 WANdisco PLC. All rights reserved.
THANK YOU
Connect @wandisco
© 2019 WANdisco PLC. All rights reserved.
Backup Slides
© 2019 WANdisco PLC. All rights reserved.
Public Cloud A
West Region
FUSION enables LiveData everywhere
Public Cloud A
East Region
Data in Production Dev/Test or Disaster
Recovery
Data Users
Public
Cloud B
HYPERSCALE
ECONOMICS
Fully automated,
utilizes all capacity,
data at any scale
ALWAYS ACCURATE
Query any node,
get the same results
RUNS ANYWHERE
On premises, hybrid cloud,
cloud, multi-cloud
ALWAYS
PROTECTED
No single point
of failure
ALWAYS
AVAILABLE
Shared logical pool
of data
© 2019 WANdisco PLC. All rights reserved.
WANdisco Fusion for Disaster
Recovery
WANdisco Fusion guarantees global data consistency and
accessibility for your critical applications, and protects your
data in the event of a disaster.
© 2019 WANdisco PLC. All rights reserved.
WANdisco Fusion for Cloud
MigrationWANdisco Fusion gives you the ability to successfully move
to the cloud without risking business continuity.
© 2019 WANdisco PLC. All rights reserved.
WANdisco Fusion for Hybrid Cloud
Transition from separate management of data in private and
public clouds to unified, integrated operations, easily and
cost effectively.
© 2019 WANdisco PLC. All rights reserved.
WANdisco Fusion for Multi-Cloud Replication
Deploy WANdisco Fusion to enable global data access
across any cloud provider so that you can access your data
when you want it from anywhere.
© 2019 WANdisco PLC. All rights reserved.
Approaches to data replication:
DistCp, AzCopy, etc.
• Unidirectional replication with a source and
target
• Target Storage/location is typically read only
• Content will become inconsistent
• Manual and labor intensive process to
manage and reconcile differences
• Inefficient use of the network
• Only works between similar storage
technologies
• Does not cater for consistency of all relevant
metadata (security, etc.)
Step 2
Data from source
is periodically
copied into target
Data Center 2
Target Storage
Data Center 1
Source Storage
ACTIVE
NAMENODE
DATA NODES
ACTIVE
NAMENODE
DATA NODES
INTERNET
Step 1
Data is ingested into
source first
VPN
POINT-IN-TIME or SCHEDULED COPY
© 2019 WANdisco PLC. All rights reserved.
Approaches to data replication:
• Disruptions in any of the separate
environments will cause the two storage
environments to diverge
• Potential to run out of buffer at point of
ingest when inter-environment network is
down
• Requires constant attention and
administration to keep running
• Data modified on any environment after
ingest is not replicated, leading to further
divergence
INTERNET
Data Center 2
Environment B
Data Center 1
Environment A
INTERNET
Step 2
Load balancer sends one copy
of data to Environment A and
one copy to Environment B
Step 1
Data is sent to load balancer
LOAD BALANCER
ACTIVE
NAMENODE
DATA NODES
ACTIVE
NAMENODE
DATA NODES
PARALLEL (DUAL) INGEST
© 2019 WANdisco PLC. All rights reserved.
Approaches to data replication:
• Global consistency not possible in a
multi-cloud environment (vendor specific
only, and limited to specific paired
regions)
• Primarily uni-directional, relies on
versioning to avoid demands of true
active/active operation
• In some environments, replication is
eventually consistent, and not
guaranteed to be immediately available
Cloud Provider A
Region 1
Cloud Provider A
Region 2
One-way replication
Eventual consistency
Cloud Provider A
S3 api
Cloud Provider B
Other api
Vendor specific
APIs extract and
load strategy
CLOUD-NATIVE GEO REPLICATION & CDC
© 2019 WANdisco PLC. All rights reserved.
WANdisco LiveData for MultiCloud
LiveData for MultiCloud
• Built on the WANdisco Fusion
platform
• Extends capabilities for object store
consistency and replication to multi-
cloud architectures
• Spans S3-compatible, Azure Blob
storage, on-premises and cloud
storage systems
• Same scale, performance, flexibility
that WANdisco brings to big data
platforms
© 2019 WANdisco PLC. All rights reserved.
WANdisco LiveData for MultiCloud
Capabilities
• Data consistency in a multi-cloud environment
• Continuous replication of changing petabyte-
scale data without disruption
Benefits
• Enable heterogenous storage
• Access data from anywhere (read and write)
• Simplify management of multiple cloud
providers
• Enable multi-cloud operations
• Avoid vendor lock-in
• Geo data availability
Use Cases
• Global data consistency
• Guarantee global data accuracy: across
clouds, regions, locations, and hybrid
deployments
• Eliminate reliance on cloud vendors
• Data resiliency, downtime, failures,
regulations, compliance, performance,
cost
• Use the right cloud for the right job
• Optimize strategy, business performance
and operations
© 2019 WANdisco PLC. All rights reserved.
Paxos is the foundation for
WANdisco’s consensus technology:
DConE
Correctness
Distributed
Coordination
Continuous
Availability
Leaderless
consensus
OptimalityProven
DConE: WANdisco’s unique
implementation of Paxos has
overcome operationalization
difficulties. Superior to other
consensus approaches particularly
in large scale production uses e.g.
ZAB (Zookeeper), Raft, Group
Communication (Galera)
Concurrency and
multiple state machines

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Strata London WANdisco

  • 1. © 2019 WANdisco PLC. All rights reserved. Overcome Data Gravity with A LiveData Strategy Strata Data 2019 — London Joel S. Horwitz, Senior VP Marketing, WANdisco
  • 2. © 2019 WANdisco PLC. All rights reserved.
  • 3. © 2019 WANdisco PLC. All rights reserved.
  • 4. © 2019 WANdisco PLC. All rights reserved.
  • 5. © 2019 WANdisco PLC. All rights reserved. Wide Area Network Distributed Computing The experts in distributed computing A decentralized IT organization requires a Platform to ensure information availability and consistency across multiple data centers, development sites, data clusters, and multiple clouds. © 2019 WANdisco PLC. All rights reserved.
  • 6. © 2019 WANdisco PLC. All rights reserved. A platform for ANY IT Architecture MultiSite Active Backup Disaster Recovery MultiCloud Data Lake Migration FUSION Security DConE Web UI SDK LiveCode Git Gerritt SVN LiveData Local/NFS HDFS Object Storage IBM Alibaba Cloud AWS Azure Google Cloud Oracle Cloud Architect Security Manager Data Architect Cloud Engineer Data Operator Data Engineer Persona Solutions Platform IT Assets Cloud
  • 7. © 2019 WANdisco PLC. All rights reserved. WANdisco FUSION Platform Protect Your Investment No downtime, no outages, and no risk with guaranteed near- zero RTO and RPO. Transform Your IT Economics Create a bedrock for performance by fully utilizing hardware previously reserved for backup and recovery. Break through constraints Distribute all of your code and data for developers to access at the speed of business.
  • 8. © 2019 WANdisco PLC. All rights reserved. Hadoop to Hadoop
  • 9. © 2019 WANdisco PLC. All rights reserved.
  • 10. © 2019 WANdisco PLC. All rights reserved. Customer Example: Hadoop to Hadoop “One of the things that impressed us most about the WANdisco Fusion platform was its ability to resolve the data consistency challenges of replicating large amounts of data between active Hadoop clusters.” Steven Swartzlander, Lead Architect at HM Health Solutions
  • 11. © 2019 WANdisco PLC. All rights reserved. Hadoop to Cloud
  • 12. © 2019 WANdisco PLC. All rights reserved. Customer Example: Hadoop to Cloud Playtika used WANdisco Fusion to transfer data to Amazon S3 as it changed in their on-premises Cloudera Hadoop cluster. WANdisco Fusion’s active data replication guaranteed data consistency in both locations.
  • 13. © 2019 WANdisco PLC. All rights reserved. Cloud to Cloud
  • 14. © 2019 WANdisco PLC. All rights reserved. Customer Example: Cloud to Cloud With WANdisco products, AMCO can replicate all incoming Application data from their hosted instance in Mexico to AWS.
  • 15. © 2019 WANdisco PLC. All rights reserved. The 3 stages of Data Movement to Cloud BigData Movement to the Cloud Hybrid Data to Ensure Business Continuity LiveData for MultiCloud PHASE PHASE PHASE 321 • Single pass migration with guaranteed consistency • Minimal disruption to operations • Maximize target ingest rate • Every path becomes live as soon as it is migrated • Eliminate vendor lock-in • Gain true data availability • Reduce cost structures • Easy Management of Multiple Cloud Storage Providers • No Vendor Lock-in • Increased Data Availability
  • 16. “Computer science still says what we have done is impossible… but it’s not.” Dr. Yeturu Aahlad, Chief Scientist, Inventor & Co-founder
  • 17. © 2019 WANdisco PLC. All rights reserved. The LiveData Gap
  • 18. © 2019 WANdisco PLC. All rights reserved. WANdisco eliminates the LiveData gap inconsistency, unused capacity, economic limitations Multiplies IT’s ability to execute at any scale, with same budget The LiveData Gap
  • 19. © 2019 WANdisco PLC. All rights reserved. WANdisco eliminates the LiveData gap WANdisco Fusion multiplier effect: IT achieves more with the same budget Multiplies IT’s ability to execute at any scale, with same budget LiveData Multiplier Effect
  • 20. © 2019 WANdisco PLC. All rights reserved. The LiveData Gap 20ZB global data storage in 2016, growing to 160Zb in 2025 $46B global storage spend in 2016 $67B global spend on public cloud computing Massive growth, massive investments: can’t keep up
  • 21. © 2019 WANdisco PLC. All rights reserved. A platform for ANY IT Architecture
  • 22. © 2019 WANdisco PLC. All rights reserved. Industries and Professions Automotive Government Healthcare Financial Services Telecom Energy Entertainment Retail Developer Collaboration Manufacturing
  • 23. © 2019 WANdisco PLC. All rights reserved. “WANdisco Fusion provides consistent data across our cloud and on-premises solutions, offering near- zero RPO and enabling hybrid cloud agility to drive the business forward.” — Ajay Prasad, Big Data Leader, AMD
  • 24. © 2019 WANdisco PLC. All rights reserved. “Of all the technologies we evaluated, WANdisco Fusion was the only solution that offered the speed, guaranteed data consistency, and continuous replication we required to analyze our patient data.” — Dr. Susheel Varma, Technology Officer for the Center for Computational Imaging & Simulation Technologies in Biomedicine, The University of Sheffield
  • 25. © 2019 WANdisco PLC. All rights reserved. “WANdisco Fusion ensures that all of our sites are up and running all of the time.” — Angela Thomas, Development Tools Manager, Juniper Networks
  • 26. © 2019 WANdisco PLC. All rights reserved. “WANdisco enabled us to upgrade our system effortlessly with no issues after we went live. We are a very happy and satisfied customer.” — Adinarayana Sreenath, Director, Big Data Architecture, Envestnet | Yodlee
  • 27. © 2019 WANdisco PLC. All rights reserved. Our Strategic Partners WANdisco’s industry-leading technology and services partners are ready to help you deploy WANdisco Fusion and achieve LiveData.
  • 28. © 2019 WANdisco PLC. All rights reserved. Forward Thinking Executives have a LiveData Strategy Fortune 50 Motor Vehicle Company 100% uptime while moving massive continuously changing sets of vehicular data for driverless car initiative Fortune 50 Retailer 2X compute capacity fully deployed by reducing server hardware requirements by 50% Global 50 Bank ZERO planned outages while seamlessly upgrading key financial applications
  • 29. David Richards, CEO & founder, WANdisco “Founding a company is a personal & intimate process that demands huge amounts of passion, commitment & energy.”
  • 30. © 2019 WANdisco PLC. All rights reserved. Demonstration
  • 31. © 2019 WANdisco PLC. All rights reserved. WANdisco Fusion coordinates change
  • 32. © 2019 WANdisco PLC. All rights reserved. Let’s follow a simple scenario of one object PUT performed by one client, using the LiveData for Multicloud Fusion product Object x A B C A B C
  • 33. © 2019 WANdisco PLC. All rights reserved. User sends a request to create an object in object storage. This goes through the Fusion Multicloud Proxy Object x Proposal to create an object PUT A B C A B C
  • 34. © 2019 WANdisco PLC. All rights reserved. Fusion Server gets this request from the Multicloud Proxy, and co- ordinates the request with other Fusion Servers in a membership Object x Consensus to create the object PUT A B C A B C
  • 35. © 2019 WANdisco PLC. All rights reserved. This membership emits a Global Sequence of operations Object x Replica Agreements PUT A B C A B C
  • 36. © 2019 WANdisco PLC. All rights reserved. Execution of the same Globally-Sequenced operation in each location results in replica object creation Object x PUT A B C A B C
  • 37. © 2019 WANdisco PLC. All rights reserved. Originating client PUTs via the proxy to its local object storage Object x Object write PUT A B C A B C
  • 38. © 2019 WANdisco PLC. All rights reserved. Object creation occurs locally at local speed with only the consensus performed in addition so far Object x A B C A B C
  • 39. © 2019 WANdisco PLC. All rights reserved. Fusion is aware of the completion of that PUT and initiates the transfer of content to other replicas Object x Object x Content replication A B C A B C
  • 40. © 2019 WANdisco PLC. All rights reserved. Writes can occur in any location, while Fusion guarantees the consistency of the object storage through consensus Objec t x Object x A B C A B C
  • 41. © 2019 WANdisco PLC. All rights reserved. Multiple clients can operate in any location without changing that consistency guarantee
  • 42. © 2019 WANdisco PLC. All rights reserved. Different types of underlying object storage can be used
  • 43. © 2019 WANdisco PLC. All rights reserved. This can extend beyond what the public cloud vendors offer as internal, eventually-consistent replication only
  • 44. © 2019 WANdisco PLC. All rights reserved. Fusion can operate across arbitrary distance
  • 45. © 2019 WANdisco PLC. All rights reserved. THANK YOU Connect @wandisco
  • 46. © 2019 WANdisco PLC. All rights reserved. Backup Slides
  • 47. © 2019 WANdisco PLC. All rights reserved. Public Cloud A West Region FUSION enables LiveData everywhere Public Cloud A East Region Data in Production Dev/Test or Disaster Recovery Data Users Public Cloud B HYPERSCALE ECONOMICS Fully automated, utilizes all capacity, data at any scale ALWAYS ACCURATE Query any node, get the same results RUNS ANYWHERE On premises, hybrid cloud, cloud, multi-cloud ALWAYS PROTECTED No single point of failure ALWAYS AVAILABLE Shared logical pool of data
  • 48. © 2019 WANdisco PLC. All rights reserved. WANdisco Fusion for Disaster Recovery WANdisco Fusion guarantees global data consistency and accessibility for your critical applications, and protects your data in the event of a disaster.
  • 49. © 2019 WANdisco PLC. All rights reserved. WANdisco Fusion for Cloud MigrationWANdisco Fusion gives you the ability to successfully move to the cloud without risking business continuity.
  • 50. © 2019 WANdisco PLC. All rights reserved. WANdisco Fusion for Hybrid Cloud Transition from separate management of data in private and public clouds to unified, integrated operations, easily and cost effectively.
  • 51. © 2019 WANdisco PLC. All rights reserved. WANdisco Fusion for Multi-Cloud Replication Deploy WANdisco Fusion to enable global data access across any cloud provider so that you can access your data when you want it from anywhere.
  • 52. © 2019 WANdisco PLC. All rights reserved. Approaches to data replication: DistCp, AzCopy, etc. • Unidirectional replication with a source and target • Target Storage/location is typically read only • Content will become inconsistent • Manual and labor intensive process to manage and reconcile differences • Inefficient use of the network • Only works between similar storage technologies • Does not cater for consistency of all relevant metadata (security, etc.) Step 2 Data from source is periodically copied into target Data Center 2 Target Storage Data Center 1 Source Storage ACTIVE NAMENODE DATA NODES ACTIVE NAMENODE DATA NODES INTERNET Step 1 Data is ingested into source first VPN POINT-IN-TIME or SCHEDULED COPY
  • 53. © 2019 WANdisco PLC. All rights reserved. Approaches to data replication: • Disruptions in any of the separate environments will cause the two storage environments to diverge • Potential to run out of buffer at point of ingest when inter-environment network is down • Requires constant attention and administration to keep running • Data modified on any environment after ingest is not replicated, leading to further divergence INTERNET Data Center 2 Environment B Data Center 1 Environment A INTERNET Step 2 Load balancer sends one copy of data to Environment A and one copy to Environment B Step 1 Data is sent to load balancer LOAD BALANCER ACTIVE NAMENODE DATA NODES ACTIVE NAMENODE DATA NODES PARALLEL (DUAL) INGEST
  • 54. © 2019 WANdisco PLC. All rights reserved. Approaches to data replication: • Global consistency not possible in a multi-cloud environment (vendor specific only, and limited to specific paired regions) • Primarily uni-directional, relies on versioning to avoid demands of true active/active operation • In some environments, replication is eventually consistent, and not guaranteed to be immediately available Cloud Provider A Region 1 Cloud Provider A Region 2 One-way replication Eventual consistency Cloud Provider A S3 api Cloud Provider B Other api Vendor specific APIs extract and load strategy CLOUD-NATIVE GEO REPLICATION & CDC
  • 55. © 2019 WANdisco PLC. All rights reserved. WANdisco LiveData for MultiCloud LiveData for MultiCloud • Built on the WANdisco Fusion platform • Extends capabilities for object store consistency and replication to multi- cloud architectures • Spans S3-compatible, Azure Blob storage, on-premises and cloud storage systems • Same scale, performance, flexibility that WANdisco brings to big data platforms
  • 56. © 2019 WANdisco PLC. All rights reserved. WANdisco LiveData for MultiCloud Capabilities • Data consistency in a multi-cloud environment • Continuous replication of changing petabyte- scale data without disruption Benefits • Enable heterogenous storage • Access data from anywhere (read and write) • Simplify management of multiple cloud providers • Enable multi-cloud operations • Avoid vendor lock-in • Geo data availability Use Cases • Global data consistency • Guarantee global data accuracy: across clouds, regions, locations, and hybrid deployments • Eliminate reliance on cloud vendors • Data resiliency, downtime, failures, regulations, compliance, performance, cost • Use the right cloud for the right job • Optimize strategy, business performance and operations
  • 57. © 2019 WANdisco PLC. All rights reserved. Paxos is the foundation for WANdisco’s consensus technology: DConE Correctness Distributed Coordination Continuous Availability Leaderless consensus OptimalityProven DConE: WANdisco’s unique implementation of Paxos has overcome operationalization difficulties. Superior to other consensus approaches particularly in large scale production uses e.g. ZAB (Zookeeper), Raft, Group Communication (Galera) Concurrency and multiple state machines

Hinweis der Redaktion

  1. The first image of a black hole, from the galaxy Messier 87. Like black holes, data has gravity pulling applications to it and sometimes pulling you down causing your business to suffer. In actuality, this image is the result of solving a data problem.
  2. Eight radio telescopes around the world synchronized their observations of the black holes over 10 days in April, 2017. Data was shipped to MIT via drives on an airplane. It’s the 21st century, why are we mailing hard drives?
  3. Scientists like MIT’s Katie Bouman (above) had to develop algorithms to take 5 petabytes of data and make sense of it. But how do you get all that data to the correlation teams in the US and Germany? You use an airplane. According to Marrone, 5 petabytes is equal to 5,000 years of MP3 audio. There’s simply no way to send that much data efficiently over the internet. It’s faster to actually ship the hard drives to collaborators around the world. That’s why MIT has 1,000 pounds of hard drives sitting in its Haystack Observatory labs.
  4. The WANdisco Fusion provides a modern way to replicate data or code over a wide area network in a secure, scalable, and selective way.
  5. HCSC Marriott
  6. https://mydataexperiments.files.wordpress.com/2017/04/hadoop-ecosystem.png
  7. Do a build, make it map to the journey slide
  8. So to wrap-up , I’ll summarize your LiveData opportunities: Global data consistency - LiveData gives you unparalleled geo-distributed data consistency for hybrid cloud, multi-region and multi-cloud environments Data disaster protection - LiveData ensures you have near-zero recovery time in the event of an outage Data movement – LiveData data migration to and from the cloud with no downtime, no data loss and no business disruption. Data lake agility – LiveData increases the value of a data lake by giving you complete agility, and the ability to maximize the value of your data lake. Analytics capability –no risk data experimentation advantages, i.e., to experiment with new technologies and platforms on current data without invasive workflow changes. Â