Angelbeat -Cut Your Troubleshooting_Time-In-Half
- 1. Cut Network and App Troubleshooting Time in Half The ROI of Performance Management
- 2. 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
- 4. 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
- 5. Who Needs NPMD/APM Technology? • Network Managers • IT Operations • Network Architects • Network Engineers Network Managers IT Operations Network Architects Network Engineers NPMD / APM Technology
- 6. 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
- 7. Downtime Is Money Aberdeen Group Report, Feb. 2012
- 8. Troubleshooting Time Savings Impact
- 9. 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
- 10. Preventative Savings – THE GOAL
- 11. 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
- 12. 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
- 13. 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
- 14. High-level Views • Start with an intuitive dashboard
- 15. Back-in-Time with Intelligence • The power of GigaStor RNA means never waiting for elusive problems to repeat
- 16. Packet Level Details • Drill into as much detail as required to find and fix the problem
- 17. Deep-Dive Payload Knowledge • Drilling into actual packet payloads offers network teams in-depth application awareness
- 18. Application Dependency Mapping • Applications complexity continues to grow, understanding tier interdependencies is critical
- 19. Behavioral Analysis • Many negative service events are caused by slowly degrading resources o Spotting these early can simplify your work life
- 20. Infrastructure Understanding • Active discovery • Event notification • Route monitoring • SNMP • WMI • WSD • IP SLA • Flow monitoring • WAAS • NBAR
- 21. 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
- 22. Recap
- 23. 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
- 24. 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
- 25. Key Takeaways (cont.) • Tangible ROI of effective application troubleshooting solutions
- 26. 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
- 27. Customer Story Texas Tech University Health Sciences Center (TTUHSC)
- 28. 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
- 29. 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
- 30. 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
- 31. 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