Big Data Monitoring Cockpit

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Transcript of Big Data Monitoring Cockpit

Page 1: Big Data Monitoring Cockpit
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© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Big Data Monitoring CockpitSanjay Chaudhary - HP Software product management,

Stefan Bergstein - HP Software R&D,

Draft as of 5/13/13

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© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3

Changing face of data..

695,000 status updates

98,000+ tweets

698,445 Google searches

1,820TB of data created

11million instant messages

168 million+ emails sent

YouTube

Viber

Qzone

Amazon Web Services

GoGrid

Rackspace

LimeLight

Jive Software

salesforce.com

Xactly

Paint.NET

Business

Education

Entertainment

Games

Lifestyle

Music

Navigation

News

Photo & Video

Productivity

Reference

Social Networking

Sport

Travel

Utilities

Workbrain

SuccessFactors

Taleo

Workday

Finance

box.net

Facebook

LinkedIn

TripIt

Pinterest

Zynga

Zynga

Baidu

Twitter

Twitter

Yammer

Atlassian

Atlassian

MobilieIronSmugMug

SmugMug

Atlassian

Amazon

AmazoniHandy

PingMe

PingMe

Associatedcontent

Flickr

Snapfish

Answers.com

Tumblr.

Urban

Scribd.Pandora

MobileFrame.com

Mixi

CYworld

Renren

Xing

Yandex

Yandex

Heroku

RightScale

New Relic

AppFog

BromiumSplunk

CloudSigma

cloudability

kaggle

nebula

Parse

ScaleXtreme

SolidFire

Zillabyte

dotCloud

BeyondCore

Mozy

Fring Toggl

MailChimp

Hootsuite

Foursquare

buzzd

Dragon Diction

SuperCam

UPS Mobile

Fed Ex Mobile

Scanner Pro

DocuSign

HP ePrint

iSchedule

Khan Academy

BrainPOP

myHomework

Cookie Doodle

Ah! Fasion Girl

PaperHost

SLI Systems

NetSuite

OpSource

Joyent

Hosting.com

Tata Communications

Datapipe

PPM

Alterian

Hyland

NetDocuments

NetReach

OpenText

Xerox

Google

Microsoft

IntraLinks

Qvidian

Sage

SugarCRM

Volusion

Zoho

Adobe

Avid

Corel

Microsoft

Serif

Yahoo

CyberShift

Saba

Softscape

Sonar6

Ariba

Yahoo!

Quadrem

Elemica

Kinaxis

CCC

DCC

SCMADP VirtualEdge

Cornerstone onDemand

CyberShift

KenexaSaba

Softscape

Sonar6

Workscape

Exact Online

FinancialForce.com

IntacctNetSuite

Plex Systems

Quickbooks

eBay

MRM

Claim Processing

Payroll

Sales tracking & Marketing

CommissionsDatabase

ERP

CRM

SCM

HCM

HCM

PLM

HP

EMC

Cost Management

Order Entry

Product Configurator

Bills of MaterialEngineering

Inventory

Manufacturing Projects

Quality Control

SAP

Cash Management

Accounts ReceivableFixed AssetsCosting

Billing

Time and Expense

Activity ManagementTraining

Time & Attendance

Rostering

Service

Data Warehousing

The InternetGigabytes

Client/ServerMegabytes

Every 60 seconds

IBM

Unisys

Burroughs

Hitachi

NECBull

Fijitsu

Mainframe Kilobytes

Mobile, Social, Big Data & The Cloud

Zettabytes

217 new mobile web users

Yottabytes

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Operating System

.. is changing the infrastructure landscape

Hadoop Distributions(Apache, Cloudera,

MapR, Hortonworks)

Infrastructure

Meaning Based Analytics

User segmentation

Software testing

Market research

Vertica

Autonomy IDOL

Ad hoc SQL Compliant Analytics Business

Users

Multi-dimensional analysis

Predictive analysis

Geographical analysis

Data Assimilation

Data Consolidation, Aggregation

Transformation into structured data

UnstructuredClick Stream Data

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In which stage is your Big Data deployment?

• Prove business value

• Return investment

• Realize full operational potential

• Production-readiness

• Management of Big Data platforms

• Delivery in production IT

Move beyond POC phase

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From experimentation to real production environments

The road aheadAvailability

security robustness

End to end hardening

Data volumes growth

On demand jobs

24x7 support service

You are here!

Stakeholder’s expectations

Are these new management challenges?

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IT management drives Production-readiness

AutomatedEnd to end Integrated

HP Solution: Big Data Monitoring Cockpit

Ensure Performance and high availability for

big-data middleware across network, storage, compute

resources

Fast, dynamic, and cost-effective monitoring

Monitoring scale-up and scale-out with the big-data

platform.

Quick and consistent trouble response integrated

in existing 24x7 support operations.

visibility for all stakeholders to keep up with demand in no time for seamless support

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HP Big Data Monitoring Cockpit

• Event dashboard

• Topology & stream-based event correlation

• Performance Graphing

• 3rd party integrations

• Closed loop incident mgmt

• “Monitoring Automation” - simplified, automated monitoring configuration

• Management Packs for Infrastructure, Oracle, Vertica, and Hadoop

• HP NMC and SE integration

Network | Storage | Compute | Middleware

HP Operations Manager i

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OMi capabilities for your big data environment

OMi Management Pack

Real time Visualization of your end to end big data environment

Monitor availability & performance of big data applications & infrastructure components

Isolate, diagnose & Remediate problems impacting your complex big data environment

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Example use case

Hadoop Monitoring at work

Visualize• Service availability displayed on WatchList (e.g.,

NameNode, JobTracker)

• Topology view provides the impact of the service unavailability on the entire big data environment

Monitor• Event dashboard groups events related to a single

incident

• Root cause is identified by grouping events into cause & symptom

Remediate• Detailed instructions guide operator to resolve the

incident manually

• Routine incidents can be resolved automatically through orchestration

“As a HadoopAdministrator, I would like to know the availability of the Hadoop Services at any given point of time”

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Real time visualization of your end to end big data environment

Visualize

JobTracker

NameNode

DataNode

TaskTracker

DataNode

TaskTracker

JobTracker

NameNode

DataNode

TaskTracker

DataNode

TaskTracker

Cluster

Master

Slave 1 Slave 2

Secondary Master

Slave 1 Slave 2

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Obtain the health & performance view in a single dashboard

View from the top..

Consolidated Event Dashboard• Consolidated event management

with a single pane of glass

• Events from different monitoring systems (e.g., network, storage, system ..)

• View performance and Health of specific nodes

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Obtain the health & performance summary of specific Big Data technology element

View from the top..

Hadoop Dashboard• Real time reflection of topology &

health

• Instant information on availability of services e.g., HDFS, MapReduce

• Notifications on performance & workload

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Root cause analysis

.. and drill down specific events

Cause and Symptoms• Reduce MTTR by identifying cause

& symptoms

• Group events related to a single incident

• Adapt to changes in infrastructure automatically

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Guided and automated problem resolution

Remediate

• Automate routine remediation tasks and processes

• Audit compliance through documentation generation and reporting

Guided problem Resolution

ToolsCreate tools to help users perform common tasks, for example you can run a command tool to check the status of a infrastructure element

Custom actionsAdministrators can define a variety of custom actions for the operator to use when resolving certain types of events

InstructionsEvent specific resolution instructions embedded with the event

Automate Resolution : Operation orchestration

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Analyze short term trends in your big data environments

Graphs

Performance Graphs• Analyze real time & historical data

together

• Check for performance trends

• Compare multiple big data components simultaneously in the same graph

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Analyze long term trends of your big data environments

Reports

Service Health Reports• Executive reporting –

performance highlights, metrics & trends

• Analyze impacts to service delivery

• Consolidation, capacity planning & forecasting

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Big Data monitoring use cases

Ensure Hadoop jobs are completed on optimal time Monitor available M/R slots,

slots used, completed and waiting jobs

Alert on high wait time or failure of jobs

Visualize map and reduce slot usage trends Understand the impact of failed jobs

Remediate: Realign the Hadoopcluster for optimal performance

Ensure analytics reports are executed on time on Vertica Monitor the resource queues &

rejection, lock and query execution time

Alert on lock, execution time, long queue or resource rejection

Analyze real time & historical data together, Check for performance trends

Remediate: Create resource pool for high priority requests

Avoid any data loss on Vertica cluster Monitor and alert on node

down, not K-Safe and critical node state

Visualize the cluster availably and impact on your service topology

Report on capacity planning & forecasting

Remediate: Immediately restore any failed /Shutdown node.

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OMi: Big Data Monitoring Cockpit

HadoopDistributed storage &

application processing

VerticaInteractive real-time

analytics

DiscoveryData

CollectionAvailability monitoring

Performance monitoring

Event Correlation

Real time graphs

Trend Reporting

InfrastructureSystem, OS, Virtual OS,

Cluster

Variety of supported operating systems / virtual operating systems- CPU- Memory- Disk- Network- Resources

Monitor 1000s of Hadoop nodes & clusters through a single dashboard- MapReduce- Job Statistics- RW ops Throughput- HDFS availability

Maintain the infrastructure analyzing your big data- Query Performance- Resource rejection- Process status- Node status

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Find out more about HP BSMSession Description Date/Time Session Description Date/Time

RT3429 Operations Analytics Roundtable Tue 1:00 BB2922 Monitoring Automation – An Early Evaluation at Fidelity Thu 2:00

BB2647 Latest Innovations in BSM Wed 10:30 BB2969 OMi, Bringing IT all together: Metric, Events &Topology Thu 2:00

CDA3397 HP Business Service Management: roadmap and strategy Wed 12:00 DT3438 Get your Bigdata for IT - HP Operational Analytics Thu 3:00

RT3431 Event Correlation Makes A Difference - Meet the Experts on OMi Wed 12:00 BB3059 Measuring and Realizing Value from Your BSM Solution Thu 3:30

TB2913 The management cockpit for Big Data platforms Wed 3:00 TB2919 Automating Monitoring with HP Operations Manager I Thu 3:30

CDA2800 Get your Big Data for IT - HP Operational Analytics Wed 3:00 Demo Booth

TB2909 BigData for IT : All you wanted to know about IT Ops Analytics Wed 4:30 Application Performance Management for hybrid environments 31

RT3430 What do BigData techniques for your IT really mean? Thu 9:30 Performance Anywhere 32

TB2897 End to End Monitoring - Capability to Maturity: Thu 9:30 BSM Mobility 33

BB2916A success story on how a partner successfully leveraged the HP BSM partner community program to deliver BSM content

Thu 9.30 Predictive Analytics / Cross IT Domain Reporting 34

TB3061 SHR 9.30 and Migrating from OVPI to SHR Thu 9.30 Systems Management 35

BB2798 How PlayTech uses Predictive Analytics to Prevent Business Outages Thu 11:00 Configuration Manager & UCMDB 36

RT3432OMi Roundtable - How can Automated Monitoring make a difference to IT Ops

Thu 11:00 Operation Bridge (OMi) - Monitoring Automation + CLIP 37

BB2799 Customer Experiences exploring Operational Analytics Thu 12:30 Operations Analytics v2 38

RT2797 The Business Value of BSM Thu 2:00 Storage Essentiels 9.6 39

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Thank You!

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