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Cut Network and App Troubleshooting Time in Half The ROI of Performance Management

Angelbeat -Cut Your Troubleshooting_Time-In-Half

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Page 1: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Cut Network and App

Troubleshooting Time in Half The ROI of Performance Management

Page 2: Angelbeat -Cut Your Troubleshooting_Time-In-Half

20 Years of Maintaining Current Enterprise IT

Initiatives

Data center consolidation

BYOD and multiple devices

Cloud

Low total cost

of ownership

Virtualization

Data proliferation and analytics

Service assurance

1Gb -> 100Gb

Security

Application complexity

Unified Communications

Page 3: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Continuous Innovation=Industry Recognition

Page 4: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Application Performance is Critical

• Validating network and infrastructure health is

only the first step

o Network and operation teams need more

o Layers 2 through 7 must all be monitored

• Users interact with services and applications

o Email, Web, Databases

o VoIP, Video, ERP, EMR

Page 5: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Who Needs NPMD/APM Technology?

• Network Managers

• IT Operations

• Network Architects

• Network Engineers

Network Managers IT Operations

Network Architects Network Engineers

NPMD / APM

Technology

Page 6: Angelbeat -Cut Your Troubleshooting_Time-In-Half

What is the IT Challenge?

• Applications and infrastructure are complicated

o The problem is worsening

• Application downtime costs big money

• Network teams are not app experts

“The average cost of downtime for companies in 2012 was $161K per hour and the cost has increased by 61% in less than two years.”

- Aberdeen Group Report

Page 7: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Downtime Is Money

Aberdeen Group Report, Feb. 2012

Page 8: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Troubleshooting Time Savings Impact

Page 9: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Reducing MTTI & MTTR with RNA

• Reactive methods employed,

primarily dependent upon IT

staff members abilities to

recreate, capture, analyze, and

interpret.

• Time-consuming, prone to error,

and extends downtime resulting

in increased organizational

costs.

• Enables a 50% reduction in the number of time consuming steps required to recreate, identify and resolve intermittent performance problems.

• Automated analytics and expert intelligence further reduce problem identification and resolution times under current staffing levels!

Legacy approach before

Retrospective Network Analysis

(RNA)

Performance First approach with enhanced RNA Methodology

Page 10: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Preventative Savings – THE GOAL

Page 11: Angelbeat -Cut Your Troubleshooting_Time-In-Half

How to Meet the IT Challenge?

• With an APM solution that provides application

detail in the context of network performance

o Network Performance Monitoring &

Diagnostics (NPMD)

• Detect the issue, find the root cause across IT

silos

* 2014 State of the Network Survey Report

Page 12: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Factors for Successful App Monitoring

• High-level views and packet-level details

o A simple workflow to connect them

• Back-in-time with intelligence

o Sometimes you need to look back to go

forward

• Deep-dive payload knowledge

o Gruesome details often matter for resolution

Page 13: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Factors for Successful App Monitoring (cont.)

• Infrastructure understanding

o Often the cause of many app issues

• Application dependency mapping

o Understanding how everything is interdependent and connected

• Behavioral analysis

o Find and fix the degradation sooner rather than later

Page 14: Angelbeat -Cut Your Troubleshooting_Time-In-Half

High-level Views

• Start with an intuitive dashboard

Page 15: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Back-in-Time with Intelligence

• The power of GigaStor RNA means never

waiting for elusive problems to repeat

Page 16: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Packet Level Details

• Drill into as much detail as required to find and

fix the problem

Page 17: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Deep-Dive Payload Knowledge

• Drilling into actual packet payloads offers

network teams in-depth application awareness

Page 18: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Application Dependency Mapping

• Applications complexity continues to grow,

understanding tier interdependencies is critical

Page 19: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Behavioral Analysis

• Many negative service events are caused by slowly degrading resources

o Spotting these early can simplify your work life

Page 20: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Infrastructure Understanding

• Active discovery

• Event notification

• Route monitoring

• SNMP

• WMI

• WSD

• IP SLA

• Flow monitoring

• WAAS

• NBAR

Page 21: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Proactive & Holistic Monitoring

• Our solution offers ways to pre-emptively address service level issues before they impact users o Behavioral Analysis

• Foster collaboration between IT silos o Cross-domain visibility>Infrastructure impact

o Virtualization & cloud

More Effective Team Communications

• Preemptively address app inter-dependency performance bottlenecks and impairments o IT resource realignments and cloud deployments

Page 22: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Recap

Page 23: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Key Takeaways

• Anyone involved in network or operations

duties needs detailed app and service level

perspectives

• Network awareness remains a must

• Workflows enable rapid triaging and correction

• High-level dashboards and deep-dive analytics

complement each other

Page 24: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Key Takeaways (cont.)

• Payload analysis offers insight for app teams

o App response time is only the first step

• Underlying infrastructure health is often the

missing link in visibility

• Multi-tier applications are the future today

Page 25: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Key Takeaways (cont.)

• Tangible ROI of effective application

troubleshooting solutions

Page 26: Angelbeat -Cut Your Troubleshooting_Time-In-Half

What Customers Are Saying

“GigaStor is invaluable for capturing and

providing complete analysis of traffic up

to the application layer”

Bjoern Ferber,

Network Engineer,

GELSEN-NET

"The synergy with Observer,

GigaStor, and OI is very beneficial for

our network. It's the best return on

investment we've ever seen from a

network management solution"

Peter Van Rietvelde,

Network and Systems Engineer,

AZ Sint-Jan Brugge-Oostende Hospital

Page 27: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Customer Story Texas Tech University Health Sciences Center (TTUHSC)

Page 28: Angelbeat -Cut Your Troubleshooting_Time-In-Half

TTUHSC Overview & Network Description

• Headquartered in Lubbock, TX

• More than 10K users

o Over 200 departments

• Serving more than 2.5 million patients

• Network design: Gb with 10 Gb core

o Geographically disbursed across NW Texas

o 60 buildings spanning six main campuses

o Also supports 23 clinics for the Texas

Department of Criminal Justice

Page 29: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Challenges

• End-to-end visibility

o If there is packet loss, where?

• Far-flung network infrastructure

o Highly distributed

• Multi-million dollar HD videoconferencing system

o Cross-campus implementation

o Used for patient clinical collaborations/ discussions

• Downtime is not an option

o Many apps and services are mission critical

o Rapid troubleshooting is a must-have

Page 30: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Addressing the Challenges

• Strategically deployed probes across network

o End-to-end infrastructure perspectives

o True end-user visibility

• Leverage Observer Expert Analytics

o Application intelligence

o Outstanding UC support

• Optimize network, app, and UC performance

o Latency, bandwidth utilization, and QoS

Page 31: Angelbeat -Cut Your Troubleshooting_Time-In-Half

Outcome

• Increased application uptime

• Improved network efficiencies

• Outstanding video conferencing user-experience

o Few service level issues

o When they arise, remediation is rapid

“We like Observer because we can get quickly to

the root of the problem... it has come in very

handy in many situations—in particular with our

HD video conferencing”

Lane Timmons, Senior Director of Networking , TTUHSC

Page 32: Angelbeat -Cut Your Troubleshooting_Time-In-Half