Le sfide legate alla gestione di un IT sempre piu’ dinamica e pervasiva non possono essere imbrigliate in un approccio che deve conoscere a priori quali sono oggetti, metriche e situazioni da osservare per intercettare e risolvere gli “incidents” di servizio. Oggi e’ possibile raccogliere, memorizzare e analizzare in real time TUTTE le informazioni prodotte dinamicamente da infrastrutture, applicazioni, servizi IT e utenti – i BIG DATA dell’IT – per derivarne nuova conoscenza e azioni atte a prevenire o risolvere velocemente le anomalie : e’ l’IT Operations Analytics secondo HP. Mauro Ferrami , HP Software Business Consultant

1. HP Software
Performance Tour 2013
MauroFerrami
BusinessConsultant,HPSoftware
Baveno, Italy 20-21 June

2. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
BigDataanalytics
perle ITOperations
MauroFerrami
BusinessConsultant,HPSoftware

3. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3
Too much DATA
Need the right solutions
to quickly search and
analyze
ANALYZE
Being able to prevent or resolve issues quickly
Challenges for IT
UNKNOWN issues
Don’t know what new
issues they might
encounter
DETERMINE
KNOWN issues
Need to be able to
monitor, prevent and
resolve
PREVENT, RESOLVE
LOGS

4. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
“Next-generation analytics is driving new ways of
organizations to make decisions. This trend is … about using
pattern recognition to optimize, simulate, and predict”
- PC Magazine
“By 2016, 20% of Global 2000 enterprises will have an IT
operations analytics architecture in place, up from less than 1%
today”
- Gartner
“Predictive analytics is emerging as a game-changer. It helps
answer ‘What's next?’ and ‘What should we do about it?’“
- Forbes.com

5. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.5
Analytics & converged data – the next phase of IT Ops
1990s 2000s Now
Static
Vertically Scaled
Client Server
100s (Elements, MB)
Clustered
Load balanced
N-Tier Web App
1000s (Elements, GB)
Virtualized and Cloud
Horizontally Scaled
Hybrid Composite App
1,000,000s (Elements, ZB)
ITComplexity
Monitor
what
matters
E2E
Advanced
Correlation
IT Operations
Analytics
100s
1000s
1,000,000s

6. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.6
Analytics & converged data – the next phase of IT Ops
1990s 2000s Now
Static
Vertically Scaled
Client Server
100s (Elements, MB)
Clustered
Load balanced
N-Tier Web App
1000s (Elements, GB)
Virtualized and Cloud
Horizontally Scaled
Hybrid Composite App
1,000,000s (Elements, ZB)
ITComplexity
HP OM
HP BAC
HP OMi
HP Operations
Analytics
100s
1000s
1,000,000s

7. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.7
Featuring the Run Time Service Model
Ensure optimal IT performance and availability…in a dynamic world
HP Business Service Management
Business Service Management
Forrester &
Gartner Leader
Ops Analytics the
next big thing!
Unique RTSM
engine
Patented Analytics:
IT’s crystal ball
Huge Installed
Base
Operations Intelligence
Actionable insight from
advanced analytics
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

8. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8
Big Data Monitoring Cockpit - OMi Management Packs
Hadoop
Distributed storage &
application processing
Vertica
Interactive real-time
analytics
Oracle
Relational Database for
enterprise applications
Infrastructure
System, OS, Virtual OS,
Cluster
Visibility into your entire big data infrastructure – from infrastructure to applications
Storage, Network, Servers, OS, Hypervisors, middleware, databases, Application Servers and Big data technologies
OMi
Run Time
Service Model
Data
Collection
Availability
monitoring
Performance
monitoring
Event
Correlation
Real time
graphs
Trend
Reporting

9. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9
HP Operations Analytics into its ecosystem
Unknown ProblemsKnown Problems
Event Triage Log Management
Reactive
Monitoring
Advanced AnalyticsAdvanced Correlation
Proactive
Monitoring
Topology
Operational
Events
Performance
Metrics Logs
Analyze
Collect
manage
d cloud
traditionaldc
saas
Storage
App
●
●
Software
Driven
Networks
in-house
custom apps
Assuring the
Hybrid
Environmen
t
Packaged
Applications
supplie
rs
Public
Cloud
private cloud
Employees
ITMetrics/Analytics
Mobile
Monitoring
Securit
y
Virtual
Fabric
Service
Models
Systems Monitoring
Store
Only HP provides end-to-end Operations Intelligence
Operations Intelligence
OM Logger
SHAOMi
NNMi++ HP Operations Analytics

10. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10
Advanced analytics for IT Operations
HP Operations Analytics - Overview
Operations Analytics Platform
(embedded Vertica)
HP Software
Application Mobile app NetworkStorage CloudSystem
Guided
Troubleshooting
HP Operations Analytics
Visual Analytics IT Search
Topology
Operational
Events
Performance
Metrics Logs
HP & Community
Apps
3rd party
Data Collection

11. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11
IT Search
Search for metrics, events, topology, and logs
Customer Problem
IT Ops Data is so large and varied that
Operations teams have difficulty
searching through it to find information
they need
User specified IT
search context
Search Results.
One or more of
• Metrics
• Events
• Topology
• Logs
HP Solution
Search language and other search tools
to provide search across metrics, events,
topology, and log data of IT Ops
HP Differentiation
Powerful and simple analytics query
language to simplify search across all IT
Ops Data (metrics, events, topology, and
logs)

12. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.12
Guided Troubleshooting
Guiding user to relevant data for effective troubleshooting of complex problems
Customer Problem
Operator has an unknown problem
and doesn’t have the knowledge to
diagnose it.
Context Pertinent
Logs and Events
Analyzed and
Context Pertinent
Metrics
User Entered
Problem Context
Time context
connects the
views
HP Solution
Guided troubleshooting experience
that provides the operator with
pertinent metrics, event, topology,
and log data based on context.
HP Differentiation
Context driven guidance, dynamic
dashboards that populate
automatically based on problem
context.

13. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13
Visual Analytics
Visual insights to understand data patterns and relationships
Customer Problem
Data volumes and complexity mean
actionable insight is hard to find.
Dynamic Dashboard
to build what you
want to see
Save Context for
reuse and share
with others
Visualizations that
let you “see ”
patterns in data
HP Solution
Visual analytics that leverage Human
Visual Perception for deriving patterns
and trends from images, and
providing actionable insight.
HP Differentiation
Compelling visual presentation of IT
Ops Big Data to rapidly create
actionable insight.
Dynamic, on demand dashboards.
Saveable and shareable contexts.

14. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14
HP Operations Analytics provides actionable intelligence
Guided Troubleshooting Visual AnalyticsIT Search
Reduce Escalations
Reduce Downtime
Faster Triage
Visibility to non-Ops
Boost Collaboration
Improve SLAs Faster

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Dynamic model driven behavioural learning and predictive analytics
Being Predictive : HP Service Health Analyzer
Collects Data
Creates
Baselines
Detects
Anomalies
Sends Event
Investigate
Remediate
• Adaptive Baseline – detect metrics seasonality, trend and
create dynamic baselines
• Topology Analysis – correlate metrics of related CIs across
domains
• Temporal Analysis – differentiate between spikes and real
anomalies
• Historical Analysis – compare with similar anomalies from
the past
• Statistical Learning – learn normal system behavior and
suppress noise

16. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.16
Why HP Operations Analytics
Advantage Benefit
Collect Collect anything from anywhere Comprehensive breadth & depth of collection
Store
Store big data through high compression ratio,
normalize and categorize data
Reduced cost of storing logs and unify
machine data
Analyze
Search through big data in seconds through a
text-based searching
No need of domain expert to investigate deep
into logs and events
Consolidate
Single view into IT service health from metrics,
3rd party monitoring, logs and machine data
Reduce time to repair, resolve IT issues
quickly and improve service levels
Correlate
Industry leading correlation of all IT events based
on a dynamic service model
Determine business impact and root cause of
an IT issue
Modular
Best price to performance ratio in the market
with low TCO
Piece of mind through automated &
comprehensive continuous monitoring
?

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