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1 © Fluke networks 2004 Everett WAMonday, May 18, 2015 Application Performance & Network Analysis Improving the end user experience.

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Presentation on theme: "1 © Fluke networks 2004 Everett WAMonday, May 18, 2015 Application Performance & Network Analysis Improving the end user experience."— Presentation transcript:

1 1 © Fluke networks 2004 Everett WAMonday, May 18, 2015 Application Performance & Network Analysis Improving the end user experience

2 2 © Fluke networks 2004 Everett WAMonday, May 18, 2015 The Fluke Networks SuperAgent Application Performance Monitoring End User Response Time Measurement

3 3 © Fluke networks 2004Monday, May 18, 2015 What is SuperAgent?  A server side appliance that will…  Passively analyze all TCP applications 24x7  Isolate performance components by  Server  Client (network)  Application  Analyze N-Tier environments  Does not require client or server agents! Web Servers Application Servers Database Servers TCP Transaction End User

4 4 © Fluke networks 2004 Everett WAMonday, May 18, 2015 How SuperAgent Works

5 5 © Fluke networks 2004Monday, May 18, 2015 SuperAgent Deployment Robust Design – Handled 1.75 Million transactions in 15 min. without dropping a single transaction

6 6 © Fluke networks 2004Monday, May 18, 2015 Scalable Distributed Enterprise Architecture

7 7 © Fluke networks 2004Monday, May 18, 2015 SuperAgent Monitors…  All TCP based applications for example:  Lotus Notes  Exchange  Intranets  Websites  Online Games  Oracle DB  SQL Server  DB2  NetBIOS  iPlanet  Custom Web  Custom C/S  Telnet  Load Balancers  Cache Servers  Imaging Servers  Peoplesoft  SAP  JD Edwards  Seibel  Oracle 11i  Citrix  IMAP  PACS

8 8 © Fluke networks 2004Monday, May 18, 2015 SuperAgent Partial Customer List

9 9 © Fluke networks 2004Monday, May 18, 2015 Automated Performance Management  SLA Monitoring – Easily determine if applications are meeting their availability and performance SLA requirements.  Intelligent Baselines – Determine expected network and server performance by analyzing recent and historical trends  Incident Detection Engine - Identifies performance issues as they occur, creating a record of the incident and automatically launching an investigation into cause including a packet capture of the offending situation.  Investigations – Gather device-specific and infrastructure performance data at the time a problem is occurring, or on demand.

10 10 © Fluke networks 2004Monday, May 18, 2015 SuperAgent & SLA’s  Passive, server side monitoring allows for measurement of all user traffic for compliance  Single or dual level SLA’s supported  SLA measurement available for three distinct metrics:  Total Transaction Time  Server Response Time  Network Round Trip Time Availability SLA’s Performance SLA’s Monitor Compliance/Violations Schedule Reports for Management

11 11 © Fluke networks 2004Monday, May 18, 2015 High Level View - Management Summary A quick high level report will show how SLAs are being met by application for a specific time period - In this case one month.

12 12 © Fluke networks 2004Monday, May 18, 2015 Application Summary The next level of detail shows that PeopleSoft was outside of it’s first level SLA criteria.

13 13 © Fluke networks 2004Monday, May 18, 2015 Application Detail with Violations by Day By drilling in on the individual days, it is possible to see on which days SLA’s were exceeded. The metrics reported can be either transaction time, network round-trip time or server delay Each tab provides a view by Day, Client region or server

14 14 © Fluke networks 2004Monday, May 18, 2015 Detail with Violations by Client Region It is also possible to see which geographic areas were exceeding these SLA boundaries.

15 15 © Fluke networks 2004Monday, May 18, 2015 Response Time Analysis - Components Server Delay – Amount of time it takes for the server to begin responding to a request. Data Transfer Delay – Amount of time from when the server starts responding until it finishes sending data for a request. Retransmission Delay – Represents the additional delay in the Network Round Trip time due to retransmissions. Network Round Trip Time – Amount of time it takes for a packet to traverse the network.

16 16 © Fluke networks 2004Monday, May 18, 2015 Performance Maps - Response Time Insight & Baselines Network Round Trip Time: Amount of time it takes for a packet to traverse the network. Data Transfer Time: Amount of time it takes the server to send all the requested data Server Response Time: Amount of time it takes for the server to begin responding to a request Total Transaction Time= SRT + DTT + RT + NRTT

17 17 © Fluke networks 2004Monday, May 18, 2015 Trends- up to 13 Months! The 8-hour view uses 5 minute intervals and is the most granular standard time period. This is often used for detailed problem analysis in conjunction with drilling down on servers and client regions The daily view uses 15 minute intervals and is useful for determining if a problem is short or long term, and if it repeats over the course of the day. It is also useful for comparing performance during business hours to the overnight/batch period

18 18 © Fluke networks 2004Monday, May 18, 2015 Case Study 1 – Isolate the Problem Issue: ‣ Users of the PeopleSoft Application are experiencing poor response times over the last week and complaining that the network is slow. ‣ Engineers did not know if : - Application settings were changed ? - They had a server resource issue ? - Bandwidth needs to be upgraded ?

19 19 © Fluke networks 2004Monday, May 18, 2015 Case Study 1 – Resolve the Problem Result: SuperAgent detects the server slowdown SuperAgent launches an SNMP poll Engineer found a backup process running during business hours Server Team rescheduled the back up process and performance was restored Avoided unnecessary investments – such as bandwidth upgrades!

20 20 © Fluke networks 2004Monday, May 18, 2015 Root Cause Analysis Application Performance Monitoring to measure the Service level. Identify the component responsible for the service level violation to begin root cause analysis

21 21 © Fluke networks 2004 Everett WAMonday, May 18, 2015 N E T W O R K S U P E R V I S I O N The Future is now


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