hp operations analytics - cdn.ymaws.com · • use all oneview performance metrics and syslog data...
TRANSCRIPT
© 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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.5
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.6
… 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…
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.7
HP Operations AnalyticsHelping IT find that needle in the haystack!
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11
• 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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.12
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
Predictive Analytics
Content Framework
Intelligent Search
Guided Troubleshooting
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14
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
Predictive Analytics
Real time Alerting
Intelligent Search
Guided Troubleshooting
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
A day in the life of real-time analytics in action
Oracle is a registered trademark of Oracle and/or its affiliates.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.16
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.17
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.18
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.19
Assess the situation in real-time
Correlate related metrics in a common
sleeve of time
Correlate related metrics in a common
sleeve of time
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.20
Automatically analyze millions of logs to reveal root cause
Automatically reveals time and count of most
significant log events.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.21
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.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.22
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.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.23
• 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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.24
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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.25
“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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.26
“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.
© 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
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.28
Analyze millions of data points in seconds
Avoid outages
Increase business insights
Lower TCOBreak the Silo’s
HP Operations Analytics Delivers
$
© Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.