Half Cut Exhibition at Stour Space | March 2014 | Price Catalogue
Angelbeat -Cut Your Troubleshooting_Time-In-Half
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Transcript of Angelbeat -Cut Your Troubleshooting_Time-In-Half
Cut Network and App
Troubleshooting Time in Half The ROI of Performance Management
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
Continuous Innovation=Industry Recognition
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
Who Needs NPMD/APM Technology?
• Network Managers
• IT Operations
• Network Architects
• Network Engineers
Network Managers IT Operations
Network Architects Network Engineers
NPMD / APM
Technology
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
Downtime Is Money
Aberdeen Group Report, Feb. 2012
Troubleshooting Time Savings Impact
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
Preventative Savings – THE GOAL
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
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
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
High-level Views
• Start with an intuitive dashboard
Back-in-Time with Intelligence
• The power of GigaStor RNA means never
waiting for elusive problems to repeat
Packet Level Details
• Drill into as much detail as required to find and
fix the problem
Deep-Dive Payload Knowledge
• Drilling into actual packet payloads offers
network teams in-depth application awareness
Application Dependency Mapping
• Applications complexity continues to grow,
understanding tier interdependencies is critical
Behavioral Analysis
• Many negative service events are caused by slowly degrading resources
o Spotting these early can simplify your work life
Infrastructure Understanding
• Active discovery
• Event notification
• Route monitoring
• SNMP
• WMI
• WSD
• IP SLA
• Flow monitoring
• WAAS
• NBAR
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
Recap
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
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
Key Takeaways (cont.)
• Tangible ROI of effective application
troubleshooting solutions
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
Customer Story Texas Tech University Health Sciences Center (TTUHSC)
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
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
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
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