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

Transcription

1 Three requirements for reducing performance issues and unplanned downtime in any data center DARRYL FUJITA TECHNICAL SOFTWARE SOLUTIONS SPECIALIST HITACHI DATA SYSTEMS

2 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.

3 How Big Is The Cost Of Unplanned IT Outages?

4 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.

5 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.

6 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.

7 Today s IT Environment Increasingly Complex More difficult to manage New technologies - virtualization & cloud computing Requirement to view and understand the infrastructure End to End

8 The Accidental Infrastructure 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

9 Top IT Infrastructure Management Challenges Primary pain points with IT infrastructure management: Lack of system-wide tools Lack of proactive analysis Lack of root cause analysis (RCA)

10 Demands of IT... IT Manager

11 Virtualization Adds Complexity Increased complexities in IT environment Proactive efforts become challenge Complexity adds significant time to get to root cause

12 Essential Guidance 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

13 The Value of Visibility Monitoring your Data Center end-to-end What is Comprehensive Visibility?

14 Device Level Visibility vs. Data Center Visibility Device specific monitoring tools lack sophistication to measure overall impact on data center

15 Comprehensive Visibility What Does it Look Like? 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

16 Comprehensive Visibility What Does it Look Like? Value = I have visibility into my IT environment

17 Hitachi IT Operations Analyzer: What Customers are Saying 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

18 Getting Proactive 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

19 Hitachi IT Operations Analyzer: What Customers are Saying 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

20 I Didn t Know Root Cause Analysis Could be This Easy! 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!

21 Cost Effective Path to Root Cause Analysis 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

22 RCA Example: Storage Controller Processor High Utilization Description: Storage Controller processor becomes high utilization, then disk access slows down Server SCSI Disk Drive Server SCSI Disk Drive FC HBA FC HBA Avg. Sec/Xfer Avg. Sec/Xfer FC HBA Port FC HBA Port Node Component Metric Status Root Cause Storage Controller Processor Load Critical Detected Events Storage Controller Processor Load Critical Impacted Nodes Storage Storage Volume I/O Resp. Time Critical Server SCSI DiskDrive Avg. Sec/Xfer Critical Server FC Switch Port FC Switch FC Switch Port Storage FC Port Processor Load I/O Resp. Time Storage Controller Storage Subsystem Storage Volume Storage DiskDrive

23 Visibility, Proactive Analysis, Automated Root Cause Analysis End-to-End monitoring tool for heterogeneous environments

24 Case Study City of Calgary 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 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

25 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

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