Managing a Widely Distributed Network
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Transcript of Managing a Widely Distributed Network
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Show us your tweets!Use today’s webinar hashtag:
#wp_NetworkAnalysiswith any questions, comments, or feedback.
Follow us @wildpackets
Jay BotelhoDirector of Product [email protected] me @jaybotelho
Managing a Widely Distributed Network
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About This Webex …
• All callers are on mute‒ If you have problems, please let us know via the Chat window
• There will be Q&A at the end‒ Feel free to type a question at any time
• Slides and recording will be available:‒ Via a follow-up email
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Agenda
• Goals and Challenges
• Monitoring Application Performance
• Network Analysis Architecture in a Distributed World
• Using Network Analysis for Application Performance Monitoring
• Industry-leading WildPackets Solution
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Distributed Network Monitoring Goals and Challenges
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By the Numbers
• 64% of organizations reported that managing network performance has become more complex over last 12 months
• Organizations are losing on average $72,000 per minute of unplanned network downtime
• 48% of organizations reported that, on average, they spend more than 60 minutes on repairing performance issues - per incident
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Better align IT with business strategies/goals
Improve utilization of existing IT resources
Reduce cost of managing IT
Improve flexibility of IT infrastructure
Increase amount of IT resources available for investing in innovation and new services
31%
38%
48%
49%
59%
Key Strategic Goals for CIOs
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Key Capabilities Organizations Are Looking to Deploy
Ability to monitor VM-to-VM communications
Single platform for managing network performance and security
Access to network performance data based on job role and level of responsibility
Ability to monitor impact of routing changes on network traffic activity
End-to-end visibility into application transactions
Ability to analyze and report performance issues at 10Gbps line rate
24%
27%
30%
30%
34%
39%
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Key Challenges for Network Performance Management
Inability to identify potential performance issues when designing the network
Difficulty determining next steps to take when a problem is detected
Oversubscribed network monitoring tools
Lack of visibility into the business impact of network performance
Lack of visibility into application performance
Inability to identify root cause of performance problems in a timely manner
29%
29%
35%
36%
41%
46%
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Summary and Key Takeaways
• Network is becoming more of a strategic asset
• Traditional tools are not as effective in managing high speed networks
• Proactive management of network performance results in measurable business benefits
• Organizations are looking to improve their ability for managing performance of VoIP and other real-time applications
• Quality of user experience is becoming a key metric for monitoring network performance
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Monitoring Application Performance
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It’s All About The UserApplication Response Time – The time it takes an
application to respond to a specific user request, measured from the user’s perspective
3 Performance Levels of User Satisfaction
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A Bit More Precisely …Application Response Time =
Network Response Time + Transaction Response Time
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Network Response Time
• Network Response Time (R): Time between a user’s action and the network’s response to that action
• Payload: Information content in bytes
• Bandwidth: Minimal link speed between client and server
• AppTurns: Number of interactions needed between the client and server to provide a response to the user
• Round Trip Response Time (RTT): Propagation time for data between the client and server
Network Response Time (R) ~(payload/bandwidth) + [AppTurns*RTT]
Adapted from Peter Sevcik and Rebecca Wetzel of NetForecast
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Other Network Response Time Considerations
• NRT is dynamic, never a constant
• DNS response time is a common source of performance issues
• Proxy servers – TCP connection is not end-to-end to the server
• Multi-tier designs – network latency between each tier
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Transaction Response Time
• Server Response Time (SRT): Processing time required by the server
• Client Response Time (CRT): Processing time required by the client
Transaction Response Time (TRT) ~Server Response Time (SRT) + Client Response Time (CRT)
Adapted from Peter Sevcik and Rebecca Wetzel of NetForecast
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Transaction Response Time Factors• Server Latency: Time for the server to process a
request - memory, disk system, CPU, and usage dependent
• Application Latency: Time for the application itself to process the request – mostly software design dependent
• Database Latency: Database design factors that contribute to overall processing time – eg. fragmentation, indexing, etc.
• Browser/Workstation Latency: The client side of the equation
• Protocol Usage: Some protocols outperform others
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It’s All About The User
Application Response Time ~ (payload/bandwidth) + [AppTurns*RTT] + SRT + CRT
3 Performance Levels of User Satisfaction
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Getting It All In One Place
PayloadTurns
~ RTT
~ SRT, CRT
Application Response Time ~ (payload/bandwidth) + [AppTurns*RTT] + SRT + CRT
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Network Analysis Architecture in a Distributed World
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Where to Capture
• On the Network
• On the vSwitch
• On a Virtual Tap
• On the VM Guest
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A Solution for Every Network
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vSwitch Span Port
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Virtual Tap Infrastructure
Distributed vSwitch (shared across VM hosts)
Virtual Tap
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Capturing on VM Guest
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The Challenges
• Store every single packet with no packet loss
• Provide critical network health statistics in real-time
• Generate comprehensive analytics for in-depth post-capture analysis and data retrieval
• Ensure packet access for deep packet inspection and complete troubleshooting
• And do it all FAST like the network itself
Importance: Packet-based PM tools remain only truly effective approach to definitive monitoring and definitive troubleshooting –
Jim Frey, Enterprise Management Associates, Inc.
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10G Network Data Capture
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10G Network Data Capture
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10G Network Data Storage
• 1Gbps steady-state traffic assuming no storage overhead:7.68 GB/min460 GB/hr11 TB/day2.9 days in a 32TB appliance
• 10Gbps:76.8GB/min4.6 TB/hr110 TB/day7.0 hours in a 32TB appliance
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Different Approaches, Different Results
• Client side‒ Closest to what the user sees‒ Difficult to troubleshoot delays‒ Requires monitoring equipment at all remote sites + centralized
monitoring – expensive
• Server-side‒ RTT harder to determine‒ Consolidation of monitoring equipment‒ Better able to assess server response time
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Multi-Segment Analysis (MSA)
Compare simultaneous data from end to end‒ A single point only tells you flow health‒ Multiple points measure link quality
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The WildPackets Solution
• Intelligent, dynamic load-balancing, filtering and time-stamping of highly-utilized network traffic
‒ To capture and store every single packet‒ To eliminate capturing unnecessary traffic‒ To provide high precision time-stamping for accurate latency
measurement and time synchronization
• Gather high-level, flow-based statistics‒ To monitor the network health‒ To narrow down post-capture analysis criteria
• Make packets readily and quickly available‒ To provide in-depth troubleshooting and deep packet inspection
• Aggregate and display the load-balanced traffic in a single view ‒ To make it trivial for the user to monitor, analyze, and troubleshoot
demanding networks
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Using Network Analysis for Application Performance
Monitoring
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The Network Or The Application?
Possible Issues on the Network
Possible Issues with the Application
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Expert Analysis Leads The Way
Network may be at fault
System or Application is at fault
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What To Look For
• Primary events are anything related to “slow”‒ Depending on what events we see, we will know who is at fault
• Typical application events:‒ HTTP slow response time‒ Oracle slow response time‒ Inefficient client
• Typical network events:‒ TCP SLOW segment recovery‒ Slow retransmissions‒ Slow acknowledgements‒ Low throughput
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Visual Expert Provides ProofTwo requests for data, two quick TCP Acks, but then a long delay
before the server sends the requested data
Requests and Acks
Then the Data gets returned much later
ACK fast = Network fast
Data slow = System slow
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Industry-Leading WildPackets Solution
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Omnipliance – A Solution for Every Network
Powerful Precise Affordable
The new family of WildPackets Network Analysis and Recorder appliances gives IT
organizations powerful and precise analysis of high-speed networks in an affordable solution
with half the hardware footprint of rival offerings
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Omnipliance Is …Powerful
‒ Fastest network recorder in its class - Up to 20Gbps of real-world traffic‒ Up to 128 TB of storage‒ Simultaneous real-time analysis and comprehensive Forensic Search
Precise‒ Captures complete network traffic, so you can analyze everything, not just
samples or high-level statistics‒ Doesn’t drop packets or sacrifice accuracy for speed‒ Supports rich, detailed analysis, including VoIP and video-over-IP traffic
Affordable‒ Delivers outstanding price/performance (lower price; half the rack space)‒ Allows mix of 1G/10G/40G interfaces without buying extra appliances‒ Solutions start at $16,995
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Omnipliance Product Line
• Omnipliance TL: NOC or Data Center, 10G/40G, up to 128 TB with OmniStorage
• Omnipliance MX: Corporate Campus, 1G/10G, up to 32 TB• Omnipliance CX: Branch Offices, 1G, up to 32 TB
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Omnipliance TLIndustry Leading Network Analysis and Recorder Appliance
• Sets a new standard in capture-to-disk speeds‒ 20Gbps sustained capture to disk rate with zero packet drop
• Best price/performance Network Analysis Appliance in the market
‒ 25Gbps with only one Omnipliance TL and one OmniStorage‒ Consuming less rack space, less cooling, less electrical power
• Most flexible network interface offering‒ 1G/10G/40G interfaces supported in a
single unit eliminates additional unit requirement
• Most accurate real-time analytics− Packet-based processing and analysis vs.
inaccurate sample-based calculations
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• Omnipliance TL with OmniAdapter 40G has a capture-to-disk rate of 25.33Gbps with no loss in storing the data
• Omnipliance TL with OmniAdapter 10G has a capture-to-disk rate of 20.94Gbps with no packet loss
• Capture-to-disk rate per 10G port of 10.47Gbps is the highest observed to date in testing of network analysis and recording appliances
Faster Capture = More Complete Data
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Distributed Analysis Collaboration or Independent Control
OmniEngine
OmniEngine
OmniEngine
OmniEngine
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WildPackets Omnipliance Advantages
• Fastest write to disk with no packet loss
• Best price/performance
• Most flexibility with 1G/10G/40G Interface mix and match
• Newest technology
• Best UI
• Most accurate, packet-based analytics and statistics
• Fastest real-time analysis and capture to disk
• Rich, detailed analysis, including VoIP and video
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More Power in a Smaller Footprint‒ Captures traffic up to 25Gbps of real-world traffic‒ Scales up to 128 TB of storage‒ Requires half the rack space and power of competitive solutions
Greater Precision ‒ Captures network traffic with no data loss, so you can analyze
everything, not just samples or high-level statistics‒ Accurate metrics‒ Rich analytics help pinpoint and characterize anomalies ‒ Enterprise-wide solution makes forensic analysis available at every
location
Better Price/Performance‒ Superior power and precision at a price significantly lower than other
network forensics products.
The WildPackets Advantage
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Q&A
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#wp_NetworkAnalysiswith any questions, comments, or feedback.
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Thank You!
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