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Hybrid Cloud Integration:
Why It's Different and
Why It Matters
Live Webinar
Wednesday, June 17th
Today’s Agenda
Carl Lehmann
Research Manager, 451 Research
Erin Curtis
Product Marketing, SnapLogic
•  Hybrid Cloud Integration: 
Why it’s Different and Why it Matters
•  SnapLogic Introduction
•  Discussion and Next Steps
Craig Stewart
Product Management, SnapLogic
Hybrid Cloud Integration: Why it’s Different
and Why it Matters
Carl Lehmann | 451 Research
451 Research is an information
technology research  advisory company
4
Founded in 2000
210+ employees, including over 100 analysts
1,000+ clients: Technology  Service providers, corporate
advisory, finance, professional services, and IT decision makers
15,000+ senior IT professionals in our research community
Over 52 million data points each quarter
4,500+ reports published each year covering 2,000+
innovative technology  service providers
Headquartered in New York City with offices in London,
Boston, San Francisco, and Washington D.C.
451 Research and its sister company Uptime Institute
comprise the two divisions of The 451 Group
Research  Data
Advisory Services
Events
5
Hybrid Cloud Integration: Why it’s Different and Why it Matters
•  The business and technical trends driving hybrid cloud integration
•  How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
•  Cloud integration challenges and how to overcome them
•  A reference architecture and best practices for crafting integration strategy
5
6
Hybrid Cloud Integration: Why it’s Different and Why it Matters
•  The business and technical trends driving hybrid cloud integration
•  How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
•  Cloud integration challenges and how to overcome them
•  A reference architecture and best practices for crafting integration strategy
6
7
First, integration warrants a baseline definition of hybrid cloud
Hybrid cloud is not…
•  Colocation with multiple providers
•  Disparate applications running in multiple public clouds
•  In these examples the applications and the underlying infrastructure do not interoperate
Hybrid cloud is…
•  Simply a delivery model
•  It consists of two or more distinct cloud infrastructures and on-premises infrastructure that remain
unique entities, all coordinated by standardized or proprietary technology, and interoperate to
deliver seamless business functions
7
Cloud computing projects
Q. What are your organization’s top cloud computing related projects in the next 12 months?
Select up to 3. n=161
8
?	
  
?	
  
Spending change for cloud computing 2014  2015 = shifting workloads
9
More	
  
year-­‐over-­‐year	
  
Spending,	
  
Shi2ing	
  toward	
  ITaaS	
  
Less	
  year-­‐over-­‐year	
  
spending	
  
The road to hybrid cloud is private
Q. Has your organization configured any of the following clouds for interoperability? n=2002
10
11
Not just clouds, trends driving IT = speed, time to market and quality
•  Virtualization
•  Software-defined infrastructure (converged and automated)
•  Agile application development
•  Continues integration/continuous delivery (CI/CD)
•  DevOps
•  Big data and analytics
•  IT-as-a-Service (ITaaS)
•  The commoditization of IT
•  Mobility
•  The ‘API Economy’
•  The Internet of Things (IoT)
11
Common	
  denominators:	
  
data,	
  applica3ons	
  and	
  how	
  to	
  integrate	
  them!	
  
All these trends can create silos, the challenge is…
12
…how to integrate processes for speed, time to market and quality!
13
SaaS 	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  IaaS 	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  PaaS 	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Hybrid	
  
On	
  Premises	
  	
  
A key question to ask is…
How	
  does	
  all	
  this	
  
effect	
  the	
  way	
  I	
  
integrate	
  data	
  and	
  
applica:ons?	
  
14
15
Hybrid Cloud Integration: Why it’s Different and Why it Matters
•  The business and technical trends driving hybrid cloud integration
•  How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
•  Cloud integration challenges and how to overcome them
•  A reference architecture and best practices for crafting integration strategy
15
16
Hybrid cloud integration explained
Hybrid cloud defined
•  Hybrid cloud is simply a delivery model – it consists of two or more distinct cloud infrastructures that remain unique entities,
coordinated by standardized or proprietary technology, and interoperate to deliver seamless business functions
What is hybrid cloud integration? (two perspectives)
•  Tactical: enables the data and process flows between any number and type of cloud services with any number and type of in-
place IT systems
•  Strategic: enables cloud services to be dynamically consumed within IT architecture and exploited on demand for their price/
performance and elasticity advantages
What makes HCI different from traditional A2A and B2B integration?
•  Application-to-Application (A2A) deals little with issues beyond the firewall, emphasizes logic and work
•  Business-to-Business (B2B) deals little with app logic, emphasizes security and data flow
HCI must deal with both, and…
•  Must address data ownership as it transcends boundaries (on-premises, clouds, sovereignty); process orchestration and
GRC (governance, risk and compliance)
•  Must help redeploy workloads on-demand to exploit the ‘best execution venue’ (BEV) based on workload profile, policies,
SLA requirements, and process and integration dependencies – without breaking
What is a HCI reference architecture?
•  A blueprint of goals, practices, tools and techniques used for data and application integration across clouds
•  A framework for assembling the integration technology needed for hybrid IT
16
17
Hybrid Cloud Integration: Why it’s Different and Why it Matters
•  The business and technical trends driving hybrid cloud integration
•  How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
•  Cloud integration challenges and how to overcome them
•  A reference architecture and best practices for crafting integration strategy
17
18
Integration challenges and how to overcome them
Integrations must cope with…
•  Slow and unreliable networks
•  Applications born of different languages, operating environments
•  Disparate data formats, quality and transfer techniques
•  Change
Integration developers have responded using several basic approaches
•  File Transfer
•  Used when one app needs to write a file that another application can read
•  A Shared Database
•  Used when multiple apps need to share a common database and does not need to duplicate data
•  Remote Procedure Invocation
•  Used when one app needs to expose functionality to another remote app in real-time (synchronous)
•  Messaging
•  Used when apps need to expose messages (data payload) to a message channel that can be read later by other app
(asynchronous)
•  Data management
•  Transfer, translate, transform, normalize, enrich, profile, relate context, federate, synchronize, enable big data
18
19
Many integration and data management technologies already in place
Message-oriented middleware (MOM) provides a communications layer to integrate applications
Managed File Transfer (MFT) and File Transfer Protocol (FTP) secure delivery of files that do not need standardization or
transformation
Electronic data interchange (EDI) B2B network exchange of standardized electronic documents
Extract, Transform, Load (ETL)  (ELT) extracts data from one system to make it usable to another
Enterprise application integration (EAI) extends MOM with prepackaged connectors used to link to popular application packages
Message Queues (MQs) asynchronous communications, needed when nodes of distributed systems are unavailable due to fault
Message Brokers (MBs) enable message validation, transformation and routing
Enterprise Service Bus (ESB) integrates disparate applications via a communication bus; enables orchestration, transformation,
intelligent routing and mediation
Application Programming Interfaces (APIs) used for A2A and to allow third parties to add value to applications
Data Quality Management (DQM) to improve and verify the reliability and efficiency of data
Master Data Management (MDM) federate, aggregate data to provide a common point of reference
Hadoop to store and process distributed big data
NoSQL for non-relational storage and retrieval of big data
MapReduce for scalability across very large arrays of servers in Hadoop clusters
Not to mention emerging IoT protocols: MQTT, XMPP, DDS, AMQP, CoAP
19
Enabled	
  via	
  SW	
  toolkits,	
  HW	
  appliances,	
  clouds	
  or	
  managed	
  services	
  
All	
  will	
  remain,	
  but	
  orchestra3on	
  will	
  drive	
  reconfigura3on	
  based	
  on	
  need…	
  
20
Tooling reconfiguration will be based on need: cloud integration waves
First wave addressed on-premises to SaaS data-loading
•  Little data quality management
•  Accessibly and security entrusted to the SaaS providers
Second wave occurs when…
•  SaaS deployments accelerate
•  Data quality begins to matter
•  Cross-functional processes exchange data among on-premises and SaaS systems (hybrid IT)
•  Other applications are offloaded to IaaS and PaaS (workloads shift)
Third wave occurs when…
•  Big data becomes a real strategic initiative in an enterprise
•  Value can be derived from intelligently managing the Internet of Things (IoT) – operational technology (OT) automation, IT meets OT
Orchestration and control must be addressed to include…
•  Central coordination and collaboration of integration designs
•  Distributed run-time execution of integrations on-premises and in clouds
•  Effective data preparation techniques for ‘total data’ (structured, big, unstructured, batch, synchronous, asynchronous, streaming)
•  Coordinated reporting, administration, trouble-shooting and audit control (visibility)
•  Data flow and business process orchestration
Will require a cloud strategy and hybrid (multi) cloud integration reference architecture
•  A blueprint of goals, methods, practices, tools and techniques
•  A framework for design, testing, deployment, measurement and management to all integrations
20
21
Hybrid Cloud Integration: Why it’s Different and Why it Matters
•  The business and technical trends driving hybrid cloud integration
•  How hybrid cloud integration is different from traditional A2A and B2B
integration, and why it matters
•  Cloud integration challenges and how to overcome them
•  A reference architecture and best practices for crafting integration strategy
21
A hybrid multi-cloud integration reference architecture (common today)
Internet	
   Hosted,	
  
Managed	
  
Services	
  Private	
  
Cloud(s)	
  
Security	
  Strategy/Stack	
  
MulC-­‐Clouds	
  
Start/End	
  points	
  
Security-­‐as-­‐a-­‐	
  
Service	
  
ConnecCvity	
  
Services,	
  
WAN/VPN	
  
API	
  Services	
  
IntegraCon	
  
	
  	
  	
  	
  
Process	
  
	
  	
  	
  	
  
Data	
  
Systems	
  of	
  
Record	
   Databases	
  
Metadata	
  
Repositories	
  
Services	
  
Repositories	
  
iPaaS(s)	
  
Systems	
  of	
  Engagement	
  (ApplicaCons),	
  Business	
  Logic,	
  Mashups,	
  Social	
  Business	
  
PaaS/IaaS	
  
SaaS(s)	
  
Firewall	
  /	
  DMZ	
  /	
  Secure	
  Gateways	
  
Process	
  OrchestraCon	
  (Dataflow,	
  Workflow),	
  Event	
  Management	
  
Data	
  Hub,	
  Big	
  Data	
  (Hadoop,	
  NoSQL),	
  MDM,	
  Quality	
  Mgmt.,	
  TranslaCon,	
  TransformaCon,	
  Enrichment	
  
Enterprise	
  Service	
  
Bus	
  (ESB)	
  
API	
  Portal/
Gateway	
  
ConnecCvity,	
  Networks	
  and	
  Network	
  Management	
  
Source:	
  
Carl	
  F.	
  Lehmann	
  
carl.lehmann@451research.com	
  
Message	
  
Queuing	
  
iPaaS	
  
Design	
  
Browsers	
   PCs,	
  Tablets	
   B2B	
  Phones	
  
Governance	
  (Rules,	
  Policies)	
  	
  
User	
  Services	
  
Core	
  components	
  
•  Process	
  orchestraCon	
  components	
  enable	
  
control	
  of	
  events,	
  data	
  and	
  workflows	
  
•  IntegraCon	
  components	
  provide	
  synchronous	
  
and	
  asynchronous	
  connecCvity	
  for	
  batch,	
  real-­‐
Cme	
  and	
  streaming	
  data	
  flows	
  –	
  internal	
  and	
  
external	
  to	
  the	
  enterprise	
  
•  Data	
  management	
  components	
  manage	
  the	
  
quality,	
  purpose	
  and	
  use	
  of	
  data	
  from	
  capture	
  
through	
  consumpCon	
  
	
  
Deploy	
  technologies	
  needed	
  for:	
  
•  ApplicaCon-­‐to-­‐ApplicaCon	
  (A2A)	
  
•  Business-­‐to-­‐Business	
  (B2B)	
  
•  ApplicaCon-­‐to-­‐Cloud	
  (A2C)	
  
•  Cloud-­‐to-­‐Cloud	
  (C2C)	
  
•  Variants	
  as	
  needed	
  of	
  A2B2C	
  
22
Self	
  Service	
  Catalogs,	
  AppStore,	
  
Provisioning	
  
IdenCty	
  	
  Access	
  Mgmt.,	
  SSO	
  
Hybrid	
  Cloud	
  
Components	
  
ETL	
  
23
But remember – trends driving IT = speed, time to market and quality
•  Virtualization
•  Software-defined infrastructure (converged and automated)
•  Agile application development
•  Continues integration/continuous delivery (CI/CD)
•  DevOps
•  Big data and analytics
•  IT-as-a-Service (ITaaS)
•  The commoditization of IT
•  Mobility
•  The ‘API Economy’
•  The Internet of Things (IoT)
23
Common	
  denominators:	
  data,	
  applicaCons	
  and	
  how	
  to	
  integrate	
  them	
  
Will	
  drive	
  the	
  HCI	
  reference	
  architecture	
  to	
  reconfigure	
  and	
  converge…	
  
A hybrid multi-cloud integration reference architecture (to support IT trends)
24
Internet	
  
Hybrid	
  Mul3-­‐Cloud	
  
Integra3on	
  
Reference	
  Architecture	
  
Hosted,	
  
Managed	
  
Services	
  Private	
  
Cloud(s)	
  
Security	
  Strategy/Stack	
  
MulC-­‐Clouds	
  
Start/End	
  points	
  
Security-­‐as-­‐a-­‐	
  
Service	
  
ConnecCvity	
  
Services,	
  
WAN/VPN	
  
API	
  Services	
  
Systems	
  of	
  
Record	
   Databases	
  
Metadata	
  
Repositories	
  
Services	
  
Repositories	
  
iPaaS(s)	
  
Systems	
  of	
  Engagement	
  (ApplicaCons),	
  Business	
  Logic,	
  Mashups,	
  Social	
  Business	
  
PaaS/IaaS	
  
SaaS(s)	
  
Firewall	
  /	
  DMZ	
  /	
  Secure	
  Gateways	
  
Process	
  Orchestra3on	
  (Dataflow,	
  Workflow),	
  Event	
  Management	
  
Data	
  Hub,	
  Big	
  Data	
  (Hadoop,	
  NoSQL)	
  ,	
  MDM,	
  Quality	
  Mgmt.,	
  Transla3on,	
  Transforma3on,	
  Enrichment	
  
ConnecCvity,	
  Networks	
  and	
  Network	
  Management	
  
Source:	
  
Carl	
  F.	
  Lehmann	
  
carl.lehmann@451research.com	
  
Browsers	
   PCs,	
  Tablets	
   B2B	
  Phones	
  
Governance	
  (Rules,	
  Policies)	
  	
  
User	
  Services	
  
Hybrid	
  Mul3-­‐Cloud	
  
Services	
  
Self	
  Service	
  Catalogs,	
  AppStore,	
  
Provisioning	
  
IdenCty	
  	
  Access	
  Mgmt.,	
  SSO	
  
Enterprise	
  Service	
  Bus	
  (ESB),	
  Message	
  Queuing,	
  ETL,	
  	
  iPaaS	
  Design	
  	
  Management,	
  	
  
API	
  Management,	
  IoT	
  Integra3on	
  
	
  	
  	
  Services	
  
Process	
  
	
  	
  	
  Services	
  
Data	
  Services	
  
Ø  Technology	
  prolifera3on	
  will	
  drive	
  users	
  to	
  consolidate	
  vendors	
  
Ø  The	
  pursuit	
  of	
  subs3tu3ons	
  that	
  consolidate	
  func3ons	
  will	
  increase	
  	
  
Ø  The	
  ability	
  to	
  redeploy	
  to	
  BEV	
  on	
  either	
  side	
  of	
  the	
  firewall	
  will	
  be	
  sought	
  
Converged	
  capabiliCes	
  
•  Process	
  services	
  enable	
  orchestraCon	
  of	
  events,	
  
data	
  and	
  workflows	
  
•  IntegraCon	
  services	
  provide	
  synchronous	
  and	
  
asynchronous	
  connecCvity	
  for	
  batch,	
  real-­‐Cme	
  
and	
  streaming	
  data	
  flows	
  –	
  internal	
  and	
  
external	
  to	
  the	
  enterprise	
  
•  Data	
  services	
  manage	
  the	
  quality,	
  purpose	
  and	
  
use	
  of	
  data	
  from	
  capture	
  through	
  consumpCon	
  
	
  
Configure	
  paberns	
  and	
  templates	
  for:	
  
•  ApplicaCon-­‐to-­‐ApplicaCon	
  (A2A)	
  
•  Business-­‐to-­‐Business	
  (B2B)	
  
•  ApplicaCon-­‐to-­‐Cloud	
  (A2C)	
  
•  Cloud-­‐to-­‐Cloud	
  (C2C)	
  
•  Variants	
  as	
  needed	
  of	
  A2B2C	
  
Devices,	
  Things	
  
25
Best practices for hybrid cloud integration
Craft a cloud strategy
•  Goals, methods, practices, tools and techniques
•  Under what conditions, do what workloads shift, to what execution venue?
•  Plan to streamline cross-functional processes across cloud and on premise venues to minimize
complexity and integration execution overhead
•  Craft rules for private vs. public cloud use (cloudbursting ‘elasticity’ strategy)
Define a hybrid multi-cloud integration reference architecture
•  Use it to manage integration strategy and proactively plan for changing business and technology
needs
Seek platforms that unify data and application integration functions
•  To simplify tooling and enable consistency for development, execution and management
•  To enable the second wave of cloud integration (expanded private cloud, hybrid IT and ITaaS)
•  To support the third wave of cloud integration (actionable intelligence from big data)
25
Thank You!
carl.lehmann@451research.com
SnapLogic: Unified Platform to Connect Faster
Our unified platform significantly speeds up enterprise data access everywhere.
– Gaurav Dhillon, co-founder and CEO, SnapLogic
Why SnapLogic Elastic Integration?
Modern
Architecture
Connected:
300+ Snaps
Productive UX
Unified
Platform
Productive: UX for Citizen and Advanced Users
We can do more in two hours with
SnapLogic than we could in two days
with traditional solutions.
•  Integration Cloud: Design, Admin, Monitoring
•  Drag, Drop, Connect HTML5 interface built for speed
A SnapLogic Pipeline
Bulk Upload, Compression, Parallelism without any custom code/scripts
Modern Architecture: Hybrid and Elastic
Streams: No data is
stored/cached
Secure: 100%
standards-based
Elastic: Scales out 
handles data and app
integration use cases
Metadata
Data
Databases Enterprise Systems Hadoop
Modern Architecture: Real-Time and Batch
Ultra Pipelines SnapReduce and the Hadooplex
Map Reduce
Certified YARN Execution
Connected: 300+ Snaps
We look at SnapLogic as an opportunity to
think differently about integration.
Common SnapLogic Use Cases
Cloud App
Integration
•  Workday: HR On-
Boarding
•  Salesforce: CRM Back
Office
•  Eliminate SaaS Silos
Digital
Marketing
•  AWS Redshift
•  Tableau, Social, CRM
•  Cloud Analytics
Big Data
Analytics
Enterprise
Platform
•  Data Ingestion
•  Data Preparation
•  Data Delivery
•  Self Service
•  Data, Apps, APIs
•  Integrator’s Solution
SnapLogic Customer Success
Discussion and Next Steps
@SnapLogic
Facebook.com/SnapLogic
Carl Lehmann
Research Manager, 451 Research
See SnapLogic
in action:
Contact us: info@snaplogic.com
http://video.snaplogic.com/

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Webinar: Hybrid Cloud Integration - Why It's Different and Why It Matters

  • 1. Hybrid Cloud Integration: Why It's Different and Why It Matters Live Webinar Wednesday, June 17th
  • 2. Today’s Agenda Carl Lehmann Research Manager, 451 Research Erin Curtis Product Marketing, SnapLogic •  Hybrid Cloud Integration: Why it’s Different and Why it Matters •  SnapLogic Introduction •  Discussion and Next Steps Craig Stewart Product Management, SnapLogic
  • 3. Hybrid Cloud Integration: Why it’s Different and Why it Matters Carl Lehmann | 451 Research
  • 4. 451 Research is an information technology research advisory company 4 Founded in 2000 210+ employees, including over 100 analysts 1,000+ clients: Technology Service providers, corporate advisory, finance, professional services, and IT decision makers 15,000+ senior IT professionals in our research community Over 52 million data points each quarter 4,500+ reports published each year covering 2,000+ innovative technology service providers Headquartered in New York City with offices in London, Boston, San Francisco, and Washington D.C. 451 Research and its sister company Uptime Institute comprise the two divisions of The 451 Group Research Data Advisory Services Events
  • 5. 5 Hybrid Cloud Integration: Why it’s Different and Why it Matters •  The business and technical trends driving hybrid cloud integration •  How hybrid cloud integration is different from traditional A2A and B2B integration, and why it matters •  Cloud integration challenges and how to overcome them •  A reference architecture and best practices for crafting integration strategy 5
  • 6. 6 Hybrid Cloud Integration: Why it’s Different and Why it Matters •  The business and technical trends driving hybrid cloud integration •  How hybrid cloud integration is different from traditional A2A and B2B integration, and why it matters •  Cloud integration challenges and how to overcome them •  A reference architecture and best practices for crafting integration strategy 6
  • 7. 7 First, integration warrants a baseline definition of hybrid cloud Hybrid cloud is not… •  Colocation with multiple providers •  Disparate applications running in multiple public clouds •  In these examples the applications and the underlying infrastructure do not interoperate Hybrid cloud is… •  Simply a delivery model •  It consists of two or more distinct cloud infrastructures and on-premises infrastructure that remain unique entities, all coordinated by standardized or proprietary technology, and interoperate to deliver seamless business functions 7
  • 8. Cloud computing projects Q. What are your organization’s top cloud computing related projects in the next 12 months? Select up to 3. n=161 8 ?   ?  
  • 9. Spending change for cloud computing 2014 2015 = shifting workloads 9 More   year-­‐over-­‐year   Spending,   Shi2ing  toward  ITaaS   Less  year-­‐over-­‐year   spending  
  • 10. The road to hybrid cloud is private Q. Has your organization configured any of the following clouds for interoperability? n=2002 10
  • 11. 11 Not just clouds, trends driving IT = speed, time to market and quality •  Virtualization •  Software-defined infrastructure (converged and automated) •  Agile application development •  Continues integration/continuous delivery (CI/CD) •  DevOps •  Big data and analytics •  IT-as-a-Service (ITaaS) •  The commoditization of IT •  Mobility •  The ‘API Economy’ •  The Internet of Things (IoT) 11 Common  denominators:   data,  applica3ons  and  how  to  integrate  them!  
  • 12. All these trends can create silos, the challenge is… 12
  • 13. …how to integrate processes for speed, time to market and quality! 13 SaaS                                              IaaS                                        PaaS                            Hybrid   On  Premises    
  • 14. A key question to ask is… How  does  all  this   effect  the  way  I   integrate  data  and   applica:ons?   14
  • 15. 15 Hybrid Cloud Integration: Why it’s Different and Why it Matters •  The business and technical trends driving hybrid cloud integration •  How hybrid cloud integration is different from traditional A2A and B2B integration, and why it matters •  Cloud integration challenges and how to overcome them •  A reference architecture and best practices for crafting integration strategy 15
  • 16. 16 Hybrid cloud integration explained Hybrid cloud defined •  Hybrid cloud is simply a delivery model – it consists of two or more distinct cloud infrastructures that remain unique entities, coordinated by standardized or proprietary technology, and interoperate to deliver seamless business functions What is hybrid cloud integration? (two perspectives) •  Tactical: enables the data and process flows between any number and type of cloud services with any number and type of in- place IT systems •  Strategic: enables cloud services to be dynamically consumed within IT architecture and exploited on demand for their price/ performance and elasticity advantages What makes HCI different from traditional A2A and B2B integration? •  Application-to-Application (A2A) deals little with issues beyond the firewall, emphasizes logic and work •  Business-to-Business (B2B) deals little with app logic, emphasizes security and data flow HCI must deal with both, and… •  Must address data ownership as it transcends boundaries (on-premises, clouds, sovereignty); process orchestration and GRC (governance, risk and compliance) •  Must help redeploy workloads on-demand to exploit the ‘best execution venue’ (BEV) based on workload profile, policies, SLA requirements, and process and integration dependencies – without breaking What is a HCI reference architecture? •  A blueprint of goals, practices, tools and techniques used for data and application integration across clouds •  A framework for assembling the integration technology needed for hybrid IT 16
  • 17. 17 Hybrid Cloud Integration: Why it’s Different and Why it Matters •  The business and technical trends driving hybrid cloud integration •  How hybrid cloud integration is different from traditional A2A and B2B integration, and why it matters •  Cloud integration challenges and how to overcome them •  A reference architecture and best practices for crafting integration strategy 17
  • 18. 18 Integration challenges and how to overcome them Integrations must cope with… •  Slow and unreliable networks •  Applications born of different languages, operating environments •  Disparate data formats, quality and transfer techniques •  Change Integration developers have responded using several basic approaches •  File Transfer •  Used when one app needs to write a file that another application can read •  A Shared Database •  Used when multiple apps need to share a common database and does not need to duplicate data •  Remote Procedure Invocation •  Used when one app needs to expose functionality to another remote app in real-time (synchronous) •  Messaging •  Used when apps need to expose messages (data payload) to a message channel that can be read later by other app (asynchronous) •  Data management •  Transfer, translate, transform, normalize, enrich, profile, relate context, federate, synchronize, enable big data 18
  • 19. 19 Many integration and data management technologies already in place Message-oriented middleware (MOM) provides a communications layer to integrate applications Managed File Transfer (MFT) and File Transfer Protocol (FTP) secure delivery of files that do not need standardization or transformation Electronic data interchange (EDI) B2B network exchange of standardized electronic documents Extract, Transform, Load (ETL) (ELT) extracts data from one system to make it usable to another Enterprise application integration (EAI) extends MOM with prepackaged connectors used to link to popular application packages Message Queues (MQs) asynchronous communications, needed when nodes of distributed systems are unavailable due to fault Message Brokers (MBs) enable message validation, transformation and routing Enterprise Service Bus (ESB) integrates disparate applications via a communication bus; enables orchestration, transformation, intelligent routing and mediation Application Programming Interfaces (APIs) used for A2A and to allow third parties to add value to applications Data Quality Management (DQM) to improve and verify the reliability and efficiency of data Master Data Management (MDM) federate, aggregate data to provide a common point of reference Hadoop to store and process distributed big data NoSQL for non-relational storage and retrieval of big data MapReduce for scalability across very large arrays of servers in Hadoop clusters Not to mention emerging IoT protocols: MQTT, XMPP, DDS, AMQP, CoAP 19 Enabled  via  SW  toolkits,  HW  appliances,  clouds  or  managed  services   All  will  remain,  but  orchestra3on  will  drive  reconfigura3on  based  on  need…  
  • 20. 20 Tooling reconfiguration will be based on need: cloud integration waves First wave addressed on-premises to SaaS data-loading •  Little data quality management •  Accessibly and security entrusted to the SaaS providers Second wave occurs when… •  SaaS deployments accelerate •  Data quality begins to matter •  Cross-functional processes exchange data among on-premises and SaaS systems (hybrid IT) •  Other applications are offloaded to IaaS and PaaS (workloads shift) Third wave occurs when… •  Big data becomes a real strategic initiative in an enterprise •  Value can be derived from intelligently managing the Internet of Things (IoT) – operational technology (OT) automation, IT meets OT Orchestration and control must be addressed to include… •  Central coordination and collaboration of integration designs •  Distributed run-time execution of integrations on-premises and in clouds •  Effective data preparation techniques for ‘total data’ (structured, big, unstructured, batch, synchronous, asynchronous, streaming) •  Coordinated reporting, administration, trouble-shooting and audit control (visibility) •  Data flow and business process orchestration Will require a cloud strategy and hybrid (multi) cloud integration reference architecture •  A blueprint of goals, methods, practices, tools and techniques •  A framework for design, testing, deployment, measurement and management to all integrations 20
  • 21. 21 Hybrid Cloud Integration: Why it’s Different and Why it Matters •  The business and technical trends driving hybrid cloud integration •  How hybrid cloud integration is different from traditional A2A and B2B integration, and why it matters •  Cloud integration challenges and how to overcome them •  A reference architecture and best practices for crafting integration strategy 21
  • 22. A hybrid multi-cloud integration reference architecture (common today) Internet   Hosted,   Managed   Services  Private   Cloud(s)   Security  Strategy/Stack   MulC-­‐Clouds   Start/End  points   Security-­‐as-­‐a-­‐   Service   ConnecCvity   Services,   WAN/VPN   API  Services   IntegraCon           Process           Data   Systems  of   Record   Databases   Metadata   Repositories   Services   Repositories   iPaaS(s)   Systems  of  Engagement  (ApplicaCons),  Business  Logic,  Mashups,  Social  Business   PaaS/IaaS   SaaS(s)   Firewall  /  DMZ  /  Secure  Gateways   Process  OrchestraCon  (Dataflow,  Workflow),  Event  Management   Data  Hub,  Big  Data  (Hadoop,  NoSQL),  MDM,  Quality  Mgmt.,  TranslaCon,  TransformaCon,  Enrichment   Enterprise  Service   Bus  (ESB)   API  Portal/ Gateway   ConnecCvity,  Networks  and  Network  Management   Source:   Carl  F.  Lehmann   carl.lehmann@451research.com   Message   Queuing   iPaaS   Design   Browsers   PCs,  Tablets   B2B  Phones   Governance  (Rules,  Policies)     User  Services   Core  components   •  Process  orchestraCon  components  enable   control  of  events,  data  and  workflows   •  IntegraCon  components  provide  synchronous   and  asynchronous  connecCvity  for  batch,  real-­‐ Cme  and  streaming  data  flows  –  internal  and   external  to  the  enterprise   •  Data  management  components  manage  the   quality,  purpose  and  use  of  data  from  capture   through  consumpCon     Deploy  technologies  needed  for:   •  ApplicaCon-­‐to-­‐ApplicaCon  (A2A)   •  Business-­‐to-­‐Business  (B2B)   •  ApplicaCon-­‐to-­‐Cloud  (A2C)   •  Cloud-­‐to-­‐Cloud  (C2C)   •  Variants  as  needed  of  A2B2C   22 Self  Service  Catalogs,  AppStore,   Provisioning   IdenCty    Access  Mgmt.,  SSO   Hybrid  Cloud   Components   ETL  
  • 23. 23 But remember – trends driving IT = speed, time to market and quality •  Virtualization •  Software-defined infrastructure (converged and automated) •  Agile application development •  Continues integration/continuous delivery (CI/CD) •  DevOps •  Big data and analytics •  IT-as-a-Service (ITaaS) •  The commoditization of IT •  Mobility •  The ‘API Economy’ •  The Internet of Things (IoT) 23 Common  denominators:  data,  applicaCons  and  how  to  integrate  them   Will  drive  the  HCI  reference  architecture  to  reconfigure  and  converge…  
  • 24. A hybrid multi-cloud integration reference architecture (to support IT trends) 24 Internet   Hybrid  Mul3-­‐Cloud   Integra3on   Reference  Architecture   Hosted,   Managed   Services  Private   Cloud(s)   Security  Strategy/Stack   MulC-­‐Clouds   Start/End  points   Security-­‐as-­‐a-­‐   Service   ConnecCvity   Services,   WAN/VPN   API  Services   Systems  of   Record   Databases   Metadata   Repositories   Services   Repositories   iPaaS(s)   Systems  of  Engagement  (ApplicaCons),  Business  Logic,  Mashups,  Social  Business   PaaS/IaaS   SaaS(s)   Firewall  /  DMZ  /  Secure  Gateways   Process  Orchestra3on  (Dataflow,  Workflow),  Event  Management   Data  Hub,  Big  Data  (Hadoop,  NoSQL)  ,  MDM,  Quality  Mgmt.,  Transla3on,  Transforma3on,  Enrichment   ConnecCvity,  Networks  and  Network  Management   Source:   Carl  F.  Lehmann   carl.lehmann@451research.com   Browsers   PCs,  Tablets   B2B  Phones   Governance  (Rules,  Policies)     User  Services   Hybrid  Mul3-­‐Cloud   Services   Self  Service  Catalogs,  AppStore,   Provisioning   IdenCty    Access  Mgmt.,  SSO   Enterprise  Service  Bus  (ESB),  Message  Queuing,  ETL,    iPaaS  Design    Management,     API  Management,  IoT  Integra3on        Services   Process        Services   Data  Services   Ø  Technology  prolifera3on  will  drive  users  to  consolidate  vendors   Ø  The  pursuit  of  subs3tu3ons  that  consolidate  func3ons  will  increase     Ø  The  ability  to  redeploy  to  BEV  on  either  side  of  the  firewall  will  be  sought   Converged  capabiliCes   •  Process  services  enable  orchestraCon  of  events,   data  and  workflows   •  IntegraCon  services  provide  synchronous  and   asynchronous  connecCvity  for  batch,  real-­‐Cme   and  streaming  data  flows  –  internal  and   external  to  the  enterprise   •  Data  services  manage  the  quality,  purpose  and   use  of  data  from  capture  through  consumpCon     Configure  paberns  and  templates  for:   •  ApplicaCon-­‐to-­‐ApplicaCon  (A2A)   •  Business-­‐to-­‐Business  (B2B)   •  ApplicaCon-­‐to-­‐Cloud  (A2C)   •  Cloud-­‐to-­‐Cloud  (C2C)   •  Variants  as  needed  of  A2B2C   Devices,  Things  
  • 25. 25 Best practices for hybrid cloud integration Craft a cloud strategy •  Goals, methods, practices, tools and techniques •  Under what conditions, do what workloads shift, to what execution venue? •  Plan to streamline cross-functional processes across cloud and on premise venues to minimize complexity and integration execution overhead •  Craft rules for private vs. public cloud use (cloudbursting ‘elasticity’ strategy) Define a hybrid multi-cloud integration reference architecture •  Use it to manage integration strategy and proactively plan for changing business and technology needs Seek platforms that unify data and application integration functions •  To simplify tooling and enable consistency for development, execution and management •  To enable the second wave of cloud integration (expanded private cloud, hybrid IT and ITaaS) •  To support the third wave of cloud integration (actionable intelligence from big data) 25
  • 27. SnapLogic: Unified Platform to Connect Faster Our unified platform significantly speeds up enterprise data access everywhere. – Gaurav Dhillon, co-founder and CEO, SnapLogic
  • 28. Why SnapLogic Elastic Integration? Modern Architecture Connected: 300+ Snaps Productive UX Unified Platform
  • 29. Productive: UX for Citizen and Advanced Users We can do more in two hours with SnapLogic than we could in two days with traditional solutions. •  Integration Cloud: Design, Admin, Monitoring •  Drag, Drop, Connect HTML5 interface built for speed
  • 30. A SnapLogic Pipeline Bulk Upload, Compression, Parallelism without any custom code/scripts
  • 31. Modern Architecture: Hybrid and Elastic Streams: No data is stored/cached Secure: 100% standards-based Elastic: Scales out handles data and app integration use cases Metadata Data Databases Enterprise Systems Hadoop
  • 32. Modern Architecture: Real-Time and Batch Ultra Pipelines SnapReduce and the Hadooplex Map Reduce Certified YARN Execution
  • 33. Connected: 300+ Snaps We look at SnapLogic as an opportunity to think differently about integration.
  • 34. Common SnapLogic Use Cases Cloud App Integration •  Workday: HR On- Boarding •  Salesforce: CRM Back Office •  Eliminate SaaS Silos Digital Marketing •  AWS Redshift •  Tableau, Social, CRM •  Cloud Analytics Big Data Analytics Enterprise Platform •  Data Ingestion •  Data Preparation •  Data Delivery •  Self Service •  Data, Apps, APIs •  Integrator’s Solution
  • 36. Discussion and Next Steps @SnapLogic Facebook.com/SnapLogic Carl Lehmann Research Manager, 451 Research See SnapLogic in action: Contact us: info@snaplogic.com http://video.snaplogic.com/