Date post: | 21-Oct-2014 |
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Technology |
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Big Data Visibility with NPBs
Leveraging a big data model in the IT domain
What is big data?
Big data is high-volume, high-velocity and high-variety information
assets that demand cost-effective, innovative forms of information
processing for enhanced insight and decision making.
– Gartner
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Network Data is a Big Data Problem
3.6Exabytes
Per Month by 2014
300xData Growth by 2020
70%Server Workloads
Virtualized by 2014
Performance
Management
Security &
Forensics
Business
Intelligence
Network data & packet metadata are required for:
Only 0.5%Network Packets Get Analyzed Outside of Operations
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Today’s Network Analysis Architecture
� Storage is tightly coupled with analytics
application
� Data is stored in proprietary silos
� Data is replicated across different toolsets
� High CAPEX and OPEX
Problems
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� Expanded analysis capabilities
� Storage scaling due to forensics
and compliance
� Greater efficiency and agility
Business Needs
Analytics
Processing
Storage
Solution: Decouple Storage from Processing & Analytics
Analytics
Processing
Storage
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Early Analytics Model
� Collection, Storage and Presentation
functions are collapsed
� Probes are highly distributed
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File creation
Storage
Processing and Retrieval Framework
Querying and
Info Generation
Indexing
Visualization and Reporting
� Analytics software tightly coupled
with hardware.
� Storage and Presentation layers are
collapsed.
� Probes are still distributed from
storage perspective.
Current Analytics Model
� Collection has been decoupled from
Storage and Presentation layers
� Capture is distributed, as proxy for
Analytics probes.
Capture and Grooming
File creation
Storage
Processing and Retrieval Framework
Querying and
Info Generation
Indexing
Visualization and Reporting
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Visualization and Reporting
Availability of cheap, accelerated HW has created a wedge between storage and presentation layer.
Big data technologies using distributed computing models (e.g. Hadoop) are scaling analytics to massive quantities of disparate data – beyond the capacities of a distributed storage model (probe-based) and are decoupling the Presentation / Analytics layer from the underlying data handling framework.
Purpose built HW and file creation functions can be offloaded to hardware based technologies, such as Network Packet Brokers.
Capture and Grooming
File creation
Storage
Processing and Retrieval Framework
Querying and
Info Generation
Indexing
Next-Gen (big data) Analytics Model
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Decoupling Software from Hardware
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This is not a new story?
“There’s no army that can hold
back an economic principle
whose time has come.”
– John Donovan, AT&T SEVP of
Technology and Network Operations
Big Data Visibility Architecture
Capture & forward directly to network tools
and Big Data platforms
Network tools analyze network packets (real
time and historical). Data is typically stored
in small increments in a proprietary format.
The Big Data Architecture allows tools to be
virtualized and run on alternative computing
environments such as Hadoop.
Value Proposition
Capture & Groom Analyze & PresentIngest & StoreGenerate
Larger Datasets Optimized Data Lower Cost Faster Retrieval Total Visibility
Addresses
storage as
neglected third
pillar of visibility
Scales Network
Analytics and
Forensics
Provides Network
Visibility to Big
Data Systems
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Decoupling storage from analytics, allowing network data to be stored and
analyzed by tools of choice—including big data technologies and virtualized
probes—significantly lowers the TCO of packet capture for forensics, compliance
and data mining.
Learn more5
“There are prodigious volumes of operational and business data available within network packet
streams, waiting to be fully leveraged by the fast growing ranks of Big Data analytics solutions.
By offering new methods for directly forwarding packet captures into Big Data architectures,
VSS Monitoring is opening a new door for operational-intelligence solutions.”
Jim Frey, Vice President of Research at Enterprise Management Associates
“By bringing together the Riverbed® Cascade® Shark continuous packet capture, analysis and
storage appliance with VSS Monitoring’s vBrokers powered by vSpool™, customers are able
to gain a new level of visibility, flexibility and control over their Big Data, resulting in significant
ROI and enhanced intelligence about their IT and network infrastructure.”
Dimitri Vlachos, Vice President, Marketing and Products at Riverbed
� Register for 2-Part Webinars (Live & Recorded):
� April 30, 2014 Leveraging a Big Data Model in the IT Domain,
Part 1 | Register: http://goo.gl/fCxUNK
� May 7, 2014 Considerations for Ramping to a Big Data
Network Monitoring Architecture, Part 2
Register: http://goo.gl/CTTv2S
� Read VSS Monitoring Press Release: http://goo.gl/OuZ1Q7
� Visit Big Data Visibility solution page (QR Code)
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