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© Copyright 2015 Vivit Worldwide © Copyright 2015 Vivit Worldwide

New Release: Solve Your IT Performance Issues with Big Data Analytics

February 10, 2015

© Copyright 2015 Vivit Worldwide

Brought to you by


Hosted by

Akshar Dave

Vivit Big Data SIG Leader


Today’s Speaker

Alina Gicqueau

Product Line Manager - HP Analytics Center

HP Software


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© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Restricted.

Solve IT performance issues with big data analytics

Alina Gicqueau

Product Line Manager, Analytics Center

HP Software, BSM

February 10,2015

with HP Operations Analytics

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Polling question

How often does your team deal with impactful outages or performance degradation where the cause is not obvious?

every day

once/week

once/month

once a quarter

never


Evolution to Big Data Analytics Insights for IT operations management

Reacti

ve

Pro

acti

ve

Event triage

Statistical correlation

Known root

cause

Log management

Advanced analytics

Unknown root

cause

IT operations


Does this look like your last outage?

Applications

Storage Networks Servers

Applications

Networks Storage Servers

When all indicators are good

When too many events are triggered

?


The answer lies in your data … but how do you make sense of it?

Data

• Immense volumes of data (up to 2Gb/server/day)

• Many different types (log data, events, topology, etc.)

• Numerous siloed data

sources (apps, storage, servers, networks,

mobile, etc.)

• And the complexity is

growing…

© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 12

Introducing HP Operations Analytics

Mobile app

Network

Storage

Cloud

System

Third-party tools e.g., Splunk

LOB

data

Non IT Data

Big Data Store

Vertica

Faster problem

resolution

Optimized resources

Higher staff productivit

y

Fewer outages

Metrics

Events

Topology

Logs

Application HP Operations Analytics Standalone, scalable platform

Visual Analytics

Automated Log Analytics

Predictive Analytics

Real time Alerting

Intelligent Search

Guided Troubleshooting



Mobile app

Network

Storage

Cloud

System


LOB

data

Non IT Data

Metrics

Events

Topology

Logs

Application

DATA – Store and analyze

everything!

• Vendor agnostic – analyze anything!

• Out of the box BSM integrations

• Non-IT data to perform analysis to aid LOB in

decision making



Mobile app

Network

Storage

Cloud

System


LOB

data

Non IT Data

Big Data Store

Vertica

Metrics

Events

Topology

Logs

Application

DATABASE for Big

Data

• Designed to process HUGE data volumes

• Store all data you want to keep in one

place

• Efficient compression, store, and retrieval

• Trusted by Facebook and Apple



Faster problem

resolution

Optimized resources


y

Fewer outages

HP Operations Analytics Standalone, scalable platform

Visual Analytics



Real time Alerting

Intelligent Search


Big Data Analytics

• Transforms data into

intelligence

• Tuned to work on complex,

hard to diagnosed, or

intermittent problems

• Delivers intelligence to the

right hands at the right time

• Highlights actionable trends

within and across IT domains

before they become issues



Mobile app

Network

Storage

Cloud

System


LOB

data

Non IT Data

Big Data Store

Vertica

Faster problem

resolution

Optimized resources


y

Fewer outages

Metrics

Events

Topology

Logs

Application HP Operations Analytics Standalone, scalable platform

Visual Analytics



Real time Alerting

Intelligent Search



Find relevant logs

Overlooked

relevant

messages

Comb through for meaningful messages

From 100s

Scrutinize

findings

To 10s

Remember lessons learned

Uncertain

results

Act

Instead of human driven, manual trouble shooting Ad hoc process and results

T+ hours/days/weeks


Use automated log analytics Solving problems when the cause is unknown before performance is affected

From 1,000,000s

to 10,000s of

messages

To 1000s To 100s To 10s 1s

Root cause

T+ minutes

Clustering Severity and

keywords

Abnormal detection

Expert sourcing


Predictive analytics Using machine learning to anticipate the future

3. Trend analysis 1. Establish baseline high & low

2. Analyze seasonality


Two solutions. One unbeatable opportunity

Operations

Bridge

Operations

Analytics

• Unified

business data

• Visual

representatio

n

• Automated

Analytics

• Intelligent and

Predictive


Big Data

Trouble shooting

Operations Analytics

Remediate

Monitor Correlate

Operations Bridge

Service driven

Predict

Adapt to manage the known Analyze the unknown

Turn unknown

into known

Bi-directional Integration – Out of the Box

Analytics


A day in the life of real-time analytics in action

Oracle is a registered trademark of Oracle and/or its affiliates.


Survey question

Over the last year, on average, what is your MTTR / incident?

<2 hours

>4 hours and <1 day

>2 days

don’t know

don’t track


We’ve all seen this picture The problem is knowing where to act…

UNIX is a registered trademark of The Open Group.


What we used to do Begin war room analysis


Business as usual

Time to find root cause 36 hours

Resources engaged 5 experts from Application,

Database, UNIX®,

Network, and Storage

Revenue impact 2 weeks order backlog



Assess the situation in real-time

Correlate related

metrics in a common

sleeve of time

Correlate related

metrics in a common

sleeve of time


Automatically analyze millions of logs to reveal root cause

Automatically reveals

time and count of most

significant log events.


Drill down to actual root cause log messages

Automatically reveals

time and count of most

significant log events.

Number of occurrences

of significant log data

over time

View the log message

content to identify root

cause


HP Operations Analytics— minimizing revenue impact

Before

Ops Analytics

After

Ops Analytics

Time to find root cause 36 hours 30min

Resources engaged

5 experts from

Application, Database,

UNIX®, Network,

and Storage

1 expert

Revenue impact

(order backlog) 2 weeks ~4.5 hours



New 2.2 features


Prevent problems with

near real-time alerting

Analytics based,

trigger scripts to

automate response

New: HP Operations Analytics 2.2

Analytics for converged

infrastructure

HP OpsA for HP OneView

Out of the box data, logs

import and dashboards

Add value to Splunk data

and find root cause in

minutes

Automated log analysis of

Splunk data


Prevent problems with

near real-time alerting

Analytics based,

trigger scripts to

automate response

1. Analytics Based Alerting

• Help user to know about re-occurring issues

without performing an investigation

• OpsA2.2 Alerts provide a capability to schedule

AQL execution on a selected time range

• Actions can be executed as a response to

alert: Email, Script execution, SNMP traps

• Suppression of alert actions to avoid recurring

notifications over the same data


2. HP OpsA for HP OneView product

Analytics for converged

infrastructure

HP OpsA for HP OneView

Out of the box data, logs

import and dashboards

Power

HP OneView

Servers

Cooling

Enclosures

Power

devices


Upgrade to HP Operations Analytics

Application

HP OneView

Mobile app

Storage

Cloud

System


LOB

data

Non IT Data

Metrics

Events

Topology

Logs

Trend analysis

Predictive insights

Anomaly detection

Unknown root cause resolution

Big Data Store

Vertica

HP Operations Analytics Standalone, scalable platform

Visual Analytics



Content Framework

Intelligent Search



3. Automate Root Cause Analysis On Splunk Data

Add value to Splunk data

and find root cause in

minutes

Automated log analysis of

Splunk data

• Points to causes of the IT Operations issues without having to write search queries

• Reduce downtime with automatic root-cause analysis of log data coming from Splunk

• Improve staff efficiency by eliminating the need to build search queries to find root cause


Identify the most

significant

messages

Find real value in

hidden log data

Rapid analysis of terabytes of

log messages into clusters,

types

“No query needed” analysis of Splunk logs

Unique IP on Splunk logs using automatic Learning

Algorithms

OOTB behavior prediction based on behavioral learning

Splunk logs are analyzed, ranked,

and prioritized using machine

learning and algorithms developed

by HP Laps

3. Automate Root Cause Analysis On Splunk Data Rapidly identify root cause of the problem


Analyze

millions of

data

points in

seconds

Avoid

outages

Increase

business

insights

Lower TCO Break the

silos

HP Operations Analytics Delivers

$



Polling question

About what % of time do you find the root

cause of your outages?

<25%

25-50%

51-75%

>75%

don’t know/don’t track


HP Operations Analytics


More data More power More results

Questions?


Thank you

• Complete the short survey and opt-in for more

information from HP Software.

www.hp.com/go/opsanalytics

www.vivit-worldwide.org

www.hp.com/go/opsanalytics

http://www.vivit-worldwide.org/




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1. Please rank the relevancy of the topic presented.

2. Please rank the presentation made by the presenter

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