Three requirements for reducing performance issues and unplanned

downtime in any data center

DARRYL FUJITA TECHNICAL SOFTWARE SOLUTIONS

SPECIALIST HITACHI DATA SYSTEMS

How Big Is The Cost Of Unplanned IT Outages?

In 2010, the average revenue cost of an unplanned application outage was estimated to be nearly US$2.8 million dollars per hour, according to a report by IBM Global Services.

According to Dunn & Bradstreet, 59% of Fortune 500 companies experience a minimum of 1.6 hours of downtime per week.

How Big Is The Cost Of Unplanned IT Outages?

The Cost Of Unplanned Outages: A conservative estimate from Gartner pegs the hourly cost of downtime for computer networks at $42,000, so a company that suffers from worse than average downtime of 175 hours a year can lose more than $7 million per year.

The Scope Of Downtime Per Year Gartner has shown, downtime can reach an average of 87 hours a year. Obviously that's the sum of many outages - anywhere from a few minutes to hours. But at the end of the day, for an organization this becomes a staggering figure.

How Big Is The Cost Of Unplanned IT Outages?

Average Outage Period: According to the IT Process Institute, resolution time per outage is around 200 minutes. It's really interesting to see just how much time is being put in to resolve outages, when you consider what is happening to the customer experience and company reputation in this time.

How Big Is The Cost Of Unplanned IT Outages?

Majority Cause of Performance Errors Are Changes – Getting to the bottom of the matter, the Enterprise Management Association reports that 60% of unplanned availability and performance errors are the result of misconfigurations and changes.

How Big Is The Cost Of Unplanned IT Outages?

Increasingly Complex

More difficult to manage

New technologies - virtualization & cloud computing

Requirement to view and understand the infrastructure End to End

Today’s IT Environment

Heterogeneous platforms Hardware devices from a variety of vendors

Multiple monitoring tools; one for each device and/or manufacturer

Inconsistent reporting types make issue identification difficult and time-consuming

Various levels of expertise on staff Some broad and shallow

Others specialized and deep

Managing change Consolidations and acquisitions

Changes in management and staff

The Accidental Infrastructure

Primary pain points with IT

infrastructure management:

Lack of system-wide tools

Lack of proactive analysis

Lack of root cause analysis (RCA)

Top IT Infrastructure Management Challenges

Demands of IT…...

IT

Manager

Increased complexities in IT environment Proactive efforts

become challenge

Complexity adds significant time to get

to root cause

Virtualization Adds Complexity

Three things you must absolutely have to ensure

data center stability…

Comprehensive visibility across the data center through a single pane of glass Proactively monitor performance and changes across the entire infrastructure Intelligently automate root cause analysis to maximize efficiency

Essential Guidance

Monitoring your Data Center end-to-end

What is Comprehensive Visibility?

The Value of Visibility

Device specific monitoring tools lack sophistication to measure overall impact on data center

Device Level Visibility vs. Data Center Visibility

Give me a single console view of my data center…end-to-end

• Ability to see the bigger picture

• Know the relationships between devices and how they are impacting one another

• Ability to map virtual relationships

• Know what’s there, how it’s connected, if it’s available and how it’s performing against thresholds

Comprehensive Visibility…What Does it Look Like?

Value = I have visibility

into my IT environment

Comprehensive Visibility…What Does it Look Like?

“With the Hitachi IT Operations Analyzer solution we can achieve full visibility of our entire

infrastructure and be alerted to any issues in real time. This enables us to operate much more

efficiently and deliver an enhanced service to our patients.”

David Williams Director of Information

and Technology Aspen Healthcare

Hitachi IT Operations Analyzer: What Customers are Saying …

How can I keep an eye on changes and how they affect performance across the data center?

• Get proactive warnings of performance issues and capacity shortfalls before problems affect end users

• Real time metrics let you meet SLAs by pinpointing performance issues before end users notice

• Optimize your infrastructure for efficiency and minimize risk of performance degradations across your entire infrastructure

• View all hardware & software changes and see the impact of those changes across the data center

Getting Proactive

“Before Analyzer, we reacted. When a

problem occurred, we’d manually work to

diagnose issues. Analyzer takes the guesswork

out of managing devices and keeps us abreast

of what’s happening.”

Bryan Nash

Senior Vice President

McHenry Savings Bank

Hitachi IT Operations Analyzer: What Customers are Saying …

Help me reduce time and complexity associated with pinpointing and resolving critical issues in the data

center (and stop the finger pointing!)

Remove the troubleshooting step…get straight to fixing the real problem

Eliminate the finger pointing, improve team collaboration and reduce manual problem solving efforts by as much as 60% with automated root cause analysis

Why not automate the process of RCA rather than paying someone to manually perform tasks?

Faster diagnosis of issues = reduced MTTD & MTTR = reduced costs = enhanced productivity. Not too bad!

I Didn’t Know Root Cause Analysis Could be This Easy!

Quickly Identify the Root Cause through Automation

A unified end to end view of resource availability

and performance can help reduce the time required

to identify the business impact and root cause of problems

Cost Effective Path to Root Cause Analysis

Description: Storage Controller processor becomes high utilization, then disk access slows down

Storage Subsystem

Storage Controller

Storage FC Port

FC Switch Port

FC Switch Server

FC Switch Port

FC HBA Port

FC HBA

SCSI Disk Drive

Server

FC HBA Port

FC HBA

SCSI Disk Drive

Storage DiskDrive

Storage Volume

・ ・ ・

・ ・ ・

Processor Load

I/O Resp. Time

Avg. Sec/Xfer

Avg. Sec/Xfer

Node Component Metric Status

Root Cause Storage Controller Processor Load Critical

Detected Events Storage Controller Processor Load Critical

Storage Storage Volume I/O Resp. Time Critical

Server SCSI DiskDrive Avg. Sec/Xfer Critical

Impacted Nodes Server

RCA Example: Storage Controller Processor High Utilization

End-to-End monitoring tool for heterogeneous environments

Visibility, Proactive Analysis, Automated Root Cause Analysis

Environment Over 3,000 devices in data center

30,000 employees

Problem Average 2-3 hours to diagnose critical performance

issues

Experiencing multiple critical events per month

600-900 hours in lost productivity per month

IT team performing manual correlation

Nothing in place to remediate and improve issues

Segmented IT teams finger pointing

Low visibility between Application, Server, SAN and Storage environments

Losing up to an estimated $50K per month directly

related to unplanned performance degradations

Case Study – City of Calgary

Solution Intelligently automate the process of pinpointing

root cause of all critical issues

Proactively manage performance across the complete infrastructure

Gain comprehensive visibility of the infrastructure and measure impact

Effect Reduction in mean time to diagnose (MTTD) by

over 60%

Saving lost productivity

Increased moral– no more finger pointing

IT moved from reactive to proactive

An estimated $500,000 savings per year

Case Study – City of Calgary

Three requirements for reducing performance issues and unplanned downtime in any data center