HP Operations Analytics - cdn.ymaws.com · • Use all OneView performance metrics and syslog data...

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

HP Operations Analytics

March 10, 2015

Joe Hasenohr, Ryan Huneidi

HP Software

© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2

Run Time Service Model

Ensure optimal IT performance and availability…in a dynamic world

HP Business Service Management

Business Service Management

Unique RTSM engine

Patented Analytics: IT’s crystal ball

Huge Installed Base

Operational AnalyticsActionable analytics from events, logs, metrics & topology data

Comprehensive visibility and monitoring of hybrid IT

Infrastructure Management●●

Consolidated management, accelerated root cause analysis

Operations Bridge

End to end composite application performance management

Application Management


Does this look like your last outage?

When all indicators are good

When too many events are triggered

Applications StorageNetworks Servers

Applications Networks Storage Servers


Do you want to leave your business results to chance?

How is it done today?

• Manual process

• Involves a lot of people

• Ad-hoc

• Takes a long time



Big Data Analytics

Evolution to Big Data AnalyticsInsights for IT operations management

Rea

ctiv

eP

roa

ctiv

e

Event Triage

Statistical Correlation

Known Problems

Log Management

Predictive Analytics

Unknown Problems

IT Operations


… but how do you make sense of it?

The answer lies in your data

DATA

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

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

• Numerous silo’d data sources (apps, storage, servers, networks, mobile, etc.)

• And the complexity is growing…


HP Operations AnalyticsHelping IT find that needle in the haystack!


HP Operations AnalyticsRealize the value of your big data

PrepareConsolidated view of

all dataAnticipate and prevent

issues

PredictFind root cause in

minutes

Pinpoint

• Prebuilt connectors to structured and unstructured data.

• Vertica-fast, scalable, real time, big data analytics

• Establish operational performance baselines

• Self learning algorithms account for historical trends and seasonal patterns

• Quickly identify patterns with visual analytics

• Patented automated log analytics to find root cause

• Recreate performance history with time replay


With built in Advanced Analytics to solve critical problems Gain insights from all data

sources, including end-user, applications and infrastructure

See all data at any point in time to troubleshoot quickly

Pinpoint root cause in minutes with automated log analytics

Brought together with intuitive dashboard

All product views are illustrations and might not represent actual product screens

Topology

Automated log analyticsHeat map

Correlated performance


Solving problems when the cause is unknown before performance is affected

Use Automated Log Analytics

From 1,000,000s to 10,000s of messages

To 1000s To 100s To 10s 1s

ROOT CAUSE

T+ Minutes

ClusteringSeverity and

Keywords

Abnormal detection

Expert Sourcing


• Self-learning predictive analytics

• Accounts for seasonality and historical data patterns

Prevent service interruptions with Predictive Analytics

• Automatic baseline generation

• Analysis includes log data

All product views are illustrations and might not represent actual product screens


HP Operations Analytics for HP OneView1-click integration with OneView

Metrics

Events

Topology

Logs

Trend analysis

Predictive insights

Anomaly detection

Unknown root causeresolution

LOB dataBig Data Store

Vertica

Power

HP OneView

Servers

Cooling

Enclosures

Power Devices

HP Operations AnalyticsStandalone, scalable platform

Visual Analytics

Automated Log Analytics


Content Framework

Intelligent Search

Guided Troubleshooting


Consolidated view• Aggregate data from all managed systems in environment• Use all OneView performance metrics and syslog data• Visualize and analyze data from sources

Guided troubleshooting• Patented automated log analytics to pinpoint root cause• Time Machine replay for faster troubleshooting• Full text search of all syslogs

Health check• Summarization of alerts, metrics and logs at eachtopological layer• Capacity overview of usage and power consumption fordata center planning• Visualization the health of all hardware in a Topologicalview across datacenters

Proactive management• Establish baselines from historical trends• Understand what is normal and abnormal performancetrends• Self learning algorithm for self calibration• Predict future performance trends

HP Operations Analytics for HP OneView


HP Operations Analytics

Mobile app

Network

Storage

Cloud

System

Third-party tools e.g., Splunk

LOB data

Non IT Data

Big Data StoreVertica

Metrics

Events

Topology

Logs

Application

Faster problem

resolution

Optimized resources

Higher staff productivity

Fewer outages

HP Operations AnalyticsStandalone, scalable platform

Visual Analytics

Automated Log Analytics


Real time Alerting

Intelligent Search

Guided Troubleshooting


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

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


HP Global IT—Key operational metrics

Number of incident tickets per month

Average help desk calls per month

Average number of major incidents/ meetings per month

Proactive monitoring of planned changes per month

Configuration items in uCMDB

68,770

48,000

5,000,000

47,000

66,000

2,000

Servers

Network devices

Applications900

300/800

Scheduled jobs executed per month

19,000,000

6 traditional

4 private/ hybrid cloud

>8,000 simulated transactions

365 global

locations

Event notifications sent per month

1,500


HP-IT Operational challenges

Size and complexity of HP-IT production data

centers

Difficult to quickly drill in to data to isolate production issues

Too many SMEs have to get involved in major incidents

or outages

High latency in obtaining relevant data needed

Relevant data in silos, not integrated

or correlated with other data

Too much data to manually comprehend during a crisis


Begin war room analysis

What we used to do

UNIX is a registered trademark of The Open Group.

Business as Usual

Time to find root cause 36 hours

Resources engaged5 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 messagesAutomatically 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

The message logs revealed the cause of the outage to be a database parameter change.


HP Operations Analytics—minimizing revenue impact

BeforeOps 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

UNIX is a registered trademark of The Open Group.



• Many subject matter experts involved in major incidents

• Manual analysis in isolation

• Manual correlation of data

• Long time to identify root causeOperation

support team

Application SME

Network SME

Security SME

Server SME

Storage SME

Database SME

Application ecosystem

Physical or virtual server

Businessapplication

Network

Storage

Troubleshooting without Ops Analytics


Troubleshooting with Ops Analytics

• All relevant data in a single dashboard

• Data is timely and correlated

• Data easily viewed in visual analytics

• Historical view of data instantly available

• Faster time to identify root cause with fewer people involved

Application ecosystem

Physical or virtual server

Businessapplication

Network

Storage

Operations Analytics

Metrics

Topology

Operation support

Logs

Events

Consolidatedvisual analytics


“We needed help to optimize our business analytics with our IT analytics so that we can use our data better together. With HP Operations Analytics, we can trend both IT and business performance together in order to optimize the former in support of the latter.”

- Global airline company



“We needed to identify trends and variations in service quality that the human eye can’t normally catch. And that’s the real reason for going forward with HP Operations Analytics—it’s the next step in taking proactive control of our service delivery requirements.”

- Global telecom provider


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

“The capability to rapidly search through massive amounts of data, events, topology, metrics, machine data and log files, will complement our monitoring solution, and helps us master the dynamics of our Hybrid IT environment”

- Luke BradleyService Management Tools Manager,

Technology Operations, Vodafone Ireland



Analyze millions of data points in seconds

Avoid outages

Increase business insights

Lower TCOBreak the Silo’s

HP Operations Analytics Delivers

$


HP Operations Analytics - cdn.ymaws.com · • Use all OneView performance metrics and syslog data...

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