The document describes the features of Trisul Network Analytics Traffic Analyzer solution. It provides network visibility, performance monitoring, and security capabilities to network operations, security operations, and architecture/planning teams. The solution monitors network traffic through routers and switches to analyze routing efficiency, application and user activity, bandwidth usage, latency, security threats, and more. It includes customizable dashboards and reports to gain insights for troubleshooting, capacity planning, traffic management, and IPv6 transition monitoring.
We chose to address the issue of misinformation with the general public when it comes to the crime and its patterns in the Hartford region. Dataset which we chose for this is from the publicly available Police Incidents registered in Hartford area from 2005 till date with the time stamp. Pattern of the crime can be analyzed like e.g. Robbery incidents mainly happen during holiday season. Using the API we built a live tableau dashboard and also forecasted the drug offenses as per neighborhood.
Linux IT Monitoring tools - An Overview viswesvaran d
Three tools covered
1. Nagios3
2. NTOP
3. Go Access
For the full article. Please click the LI link below
https://www.linkedin.com/pulse/linux-os-tools-my-learnings-viswesvaran-d
Study of Internet Traffic to Analyze and Predict TrafficAmit Arora
The last ten to fifteen years have seen a pervasive growth of the Internet both in terms of its depth of penetration into user population as well the breadth of areas into which Internet is now present. As Internet access becomes faster and applications move to the cloud the profile of Internet traffic continues to change. Peer to Peer traffic, video sharing and OTT (over the top) services coupled with almost ubiquitous access to high speed internet poses new challenges to service providers (how to better utilize bandwidth) as well OEMs (how to increase bits per second and packets per second through the equipment).
A key to understanding and solving these challenges is to understand what constitutes Internet traffic and how the internet traffic will look like in the coming years and then based on that optimize networks and infrastructure to better utilize available resources. This is what this project aims to address i.e. understanding internet traffic from various perspectives (application, protocol, packet size and others) such that this understanding can then feed into network and infrastructure design. A data product named SITAPT (Study of Internet Traffic to Analyze and Predict Traffic) is built which addresses the aims of this project.
We chose to address the issue of misinformation with the general public when it comes to the crime and its patterns in the Hartford region. Dataset which we chose for this is from the publicly available Police Incidents registered in Hartford area from 2005 till date with the time stamp. Pattern of the crime can be analyzed like e.g. Robbery incidents mainly happen during holiday season. Using the API we built a live tableau dashboard and also forecasted the drug offenses as per neighborhood.
Linux IT Monitoring tools - An Overview viswesvaran d
Three tools covered
1. Nagios3
2. NTOP
3. Go Access
For the full article. Please click the LI link below
https://www.linkedin.com/pulse/linux-os-tools-my-learnings-viswesvaran-d
Study of Internet Traffic to Analyze and Predict TrafficAmit Arora
The last ten to fifteen years have seen a pervasive growth of the Internet both in terms of its depth of penetration into user population as well the breadth of areas into which Internet is now present. As Internet access becomes faster and applications move to the cloud the profile of Internet traffic continues to change. Peer to Peer traffic, video sharing and OTT (over the top) services coupled with almost ubiquitous access to high speed internet poses new challenges to service providers (how to better utilize bandwidth) as well OEMs (how to increase bits per second and packets per second through the equipment).
A key to understanding and solving these challenges is to understand what constitutes Internet traffic and how the internet traffic will look like in the coming years and then based on that optimize networks and infrastructure to better utilize available resources. This is what this project aims to address i.e. understanding internet traffic from various perspectives (application, protocol, packet size and others) such that this understanding can then feed into network and infrastructure design. A data product named SITAPT (Study of Internet Traffic to Analyze and Predict Traffic) is built which addresses the aims of this project.
This video highlights some valuable features of the product in its latest edition. Some screenshots have been added for the benefit of the viewers to get the look and feel of our product.
IoT ( M2M) - Big Data - Analytics: Emulation and DemonstrationCHAKER ALLAOUI
Study and simulation of the systems modern IoT with examples of connected objects such as: GPS(GLOBAL POSITIONING SYSTEM), Philips Hue, Thermometer, and connected cars implemented with the technology nodeJS and Node-Red with the communication protocol of M2M ( MQTT).
As well as an analytical study based on Elasticsearch, MongoDB, Apache Hadoop, Apache Hive and Jaspersoft.
CarStream: An Industrial System of Big Data Processing for Internet of Vehiclesijtsrd
As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services. The IoV data, especially high-frequency vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services. Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience. Rakshitha K. S | Radhika K. R"CarStream: An Industrial System of Big Data Processing for Internet of Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14408.pdf http://www.ijtsrd.com/computer-science/database/14408/carstream-an-industrial-system-of-big-data-processing-for-internet-of-vehicles/rakshitha-k-s
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Service Assurance Constructs for Achieving Network Transformation - Sunku Ran...Liz Warner
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Service Assurance Constructs for Achieving Network Transformation by Sunku Ra...Liz Warner
Transformation of network softwarization towards 5G inherently requires satisfying the requirements across a broad scope of verticals while maintaining Quality of Service (QoS) and Quality of Experience (QoE) criteria required to satisfy various network slice constraints. This session with hands-on lab introduces 3 key elements of service assurance – Monitoring, Presentation & provisioning layers and introduction to various cloud-native open source frameworks like Collectd, Influxdb, Grafana, Prometheus, Kafka and Platform for Network Data Analytics (PNDA).
NetFlow Auditor Anomaly Detection Plus Forensics February 2010 08NetFlowAuditor
NetFlow Auditor software uses NetFlow and sFlow to detect anomalies & analyze full network traffic forensics. The objective of our software is to provide easy to use full-featured anomaly detection and analysis of Flows to quickly identify who is doing what, where, when, with whom and for how long on a network and provide alerts, scheduled reports, SNMP Traps and or filter lists. It allows organizations to quickly identify and alert on network anomalies to help resolve performance problems and manage network security and compliance across business services and applications, dramatically reducing the risk of potential downtime.
Stealthwatch is the only solution that detects threats across your private network, public clouds, and even in encrypted traffic.It uses Netflow protocol to collect traffic from various endpoints and sends to management console to analyze various attacks like APTs,DDOS.
What Are the Latest Trends in Endpoint Security for 2024?VRS Technologies
In this PDF, Discover the top 2024 endpoint security trends, including zero trust, AI integration, XDR, cloud security, and enhanced mobile protection. VRS Technologies LLC supplies the top level Endpoint Security Service Dubai. For More Info Contact us: +971 56 7029840 Visit us: https://www.vrstech.com/endpoint-security-solutions.html
Get your dream bridal look with top North Indian makeup artist - Pallavi KadalePallavi Makeup Artist
Achieve your dream wedding day look with renowned North Indian bridal makeup artist, Pallavi Kadale. With years of experience, her expert techniques and skills will leave you looking flawless and radiant. Book today for your perfect bridal makeover.
This video highlights some valuable features of the product in its latest edition. Some screenshots have been added for the benefit of the viewers to get the look and feel of our product.
IoT ( M2M) - Big Data - Analytics: Emulation and DemonstrationCHAKER ALLAOUI
Study and simulation of the systems modern IoT with examples of connected objects such as: GPS(GLOBAL POSITIONING SYSTEM), Philips Hue, Thermometer, and connected cars implemented with the technology nodeJS and Node-Red with the communication protocol of M2M ( MQTT).
As well as an analytical study based on Elasticsearch, MongoDB, Apache Hadoop, Apache Hive and Jaspersoft.
CarStream: An Industrial System of Big Data Processing for Internet of Vehiclesijtsrd
As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services. The IoV data, especially high-frequency vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services. Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience. Rakshitha K. S | Radhika K. R"CarStream: An Industrial System of Big Data Processing for Internet of Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14408.pdf http://www.ijtsrd.com/computer-science/database/14408/carstream-an-industrial-system-of-big-data-processing-for-internet-of-vehicles/rakshitha-k-s
APIs and Services for Fleet Management - Talks given @ APIDays Berlin and Ba...Toralf Richter
Insights and expereinces into making of APIs for a fleet management SaaS platform. Introduces and describes the functionality of the WEBFLEET platform and how this is made generally available through APIs. Focuses on the aspects of API making and API mangement especially in a B2B environment and the fleet mangement industry.
Service Assurance Constructs for Achieving Network Transformation - Sunku Ran...Liz Warner
Transformation of network softwarization towards 5G inherently requires satisfying the requirements across a broad scope of verticals while maintaining Quality of Service (QoS) and Quality of Experience (QoE) criteria required to satisfy various network slice constraints. This session with hands-on lab introduces 3 key elements of service assurance – Monitoring, Presentation & provisioning layers and introduction to various cloud-native open source frameworks like Collectd, Influxdb, Grafana, Prometheus, Kafka and Platform for Network Data Analytics (PNDA).
Service Assurance Constructs for Achieving Network Transformation by Sunku Ra...Liz Warner
Transformation of network softwarization towards 5G inherently requires satisfying the requirements across a broad scope of verticals while maintaining Quality of Service (QoS) and Quality of Experience (QoE) criteria required to satisfy various network slice constraints. This session with hands-on lab introduces 3 key elements of service assurance – Monitoring, Presentation & provisioning layers and introduction to various cloud-native open source frameworks like Collectd, Influxdb, Grafana, Prometheus, Kafka and Platform for Network Data Analytics (PNDA).
NetFlow Auditor Anomaly Detection Plus Forensics February 2010 08NetFlowAuditor
NetFlow Auditor software uses NetFlow and sFlow to detect anomalies & analyze full network traffic forensics. The objective of our software is to provide easy to use full-featured anomaly detection and analysis of Flows to quickly identify who is doing what, where, when, with whom and for how long on a network and provide alerts, scheduled reports, SNMP Traps and or filter lists. It allows organizations to quickly identify and alert on network anomalies to help resolve performance problems and manage network security and compliance across business services and applications, dramatically reducing the risk of potential downtime.
Stealthwatch is the only solution that detects threats across your private network, public clouds, and even in encrypted traffic.It uses Netflow protocol to collect traffic from various endpoints and sends to management console to analyze various attacks like APTs,DDOS.
What Are the Latest Trends in Endpoint Security for 2024?VRS Technologies
In this PDF, Discover the top 2024 endpoint security trends, including zero trust, AI integration, XDR, cloud security, and enhanced mobile protection. VRS Technologies LLC supplies the top level Endpoint Security Service Dubai. For More Info Contact us: +971 56 7029840 Visit us: https://www.vrstech.com/endpoint-security-solutions.html
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Achieve your dream wedding day look with renowned North Indian bridal makeup artist, Pallavi Kadale. With years of experience, her expert techniques and skills will leave you looking flawless and radiant. Book today for your perfect bridal makeover.
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Trisul netflow isp_features
1. Trisul Network Analytics - Traffic Analyzer
Using this information the Trisul Network Analytics Netfllow for ISP solution provides information to
assist the following operation groups:
Network Operations
o Network Visibility- Monitor network traffic for network analysis
o Network Performance Monitoring- Network traffic and analysis for performance related
issues
o Improved Triage
Security Operations
o Intrusion Detection
o Identification of Unknown Threats
o Incident Mitigation & Forensics
Architecture and Planning
o Understand Client-Server Relationships- VMWare Virtual and security level mapping for
both network and application level application identification
o Physical and Virtual Host Visibility
o Trend Reporting
System Security
Traffic Analyzer handles all Malicious Hosts, Traffic spikes, Worm Activity, Alarms associated to these
security concerns, Host Information, Identify infected machines on your network, Measure malware
and botnet activity, Alert when users access blacklisted websites, Monitor intrusion attempts into your
network, Post compromise analysis
For Network Troubleshooting, Router and Switch Interface utilization, User Activity, Traffic entering
and leaving the network, quality of service utilization, Round trip time (RTT) and Server response time
(SRT) deviations, Application identification through
Network Monitoring
Application Monitoring and Profiling
User Monitoring and Profiling
Network Planning
Accounting/Billing
2. Router Traffic: Displays the list of configured router IPs with traffic rate of Maximum, Average and
Total traffic per second. The Total field shows the summary of flow data in selected time range. Click
the Total value to view total router traffic graph and an option for analysis. Similarly, click Router IP to
view router specifications.
Protocol Traffic: Displays the list of protocols with the router IPs, the protocol name, the traffic rate of
Maximum, Average and Total traffic per second. The Total field shows the summary of flow data in
selected time range. Click protocol name or number field to navigate to Protocol Summary page to
view details of device flow using corresponding protocol.
Application Traffic: Displays the list of application with the router IPs, the port number, the total In
traffic, Maximum traffic, the total Out traffic, Maximum Out traffic, Total traffic per second. Click
values under “In” heading to navigate to the Source Summary page, and on “Out” leads to Destination
Summary and click Total field to navigate to application report graph.
Interface Traffic: Displays the list of interface with the router IPs, the total In traffic, Maximum traffic,
the total Out traffic, Maximum Out traffic, Total traffic per second. By clicking the interface the user
can navigate to the interface summary page, clicking on the In or Out takes to the source summary
page or Destination summary page respectively and clicking on the total it will take to the interface
report graph.
Router Traffic: Displays the configured router IPs by traffic in a Graph. The graph shows the total traffic
along the Y-axis and the time in the X-axis.
Source Device Traffic: Displays the list of Top N traffic source devices with the router Ips, and traffic
rate of Maximum, Average and Total traffic per second.
Destination Device Traffic: Displays the list of Top N traffic destination devices with the router IPs, and
traffic rate of Maximum, Average and Total traffic per second.
Top Conversation Traffic: Displays the list of Top N traffic source and destination devices with the
router IPs, and traffic rate of Maximum, Average and Total traffic per second.
Routing Traffic : Traffic going to each Autonomous system at direct peering points, Traffic going to
each Application Cache such as Google/ Facebook/ YouTube. Raw BGP analysis capability.
3. SOLUTION FEATURES
This section describes the key features of the proposed solution with reference to the compliance
documents.
Autonomous system based traffic mapping
More Link: https://www.trisul.org/docs/ug/ui/dashboards.html#asn_monitoring
By Enabling Netflow on Gateway Router and Switches at Peering Points you can get detailed break up
of Traffic flowing to each AS Peer on a per gateway router or per-Interface level. The AS information
can be obtained directly from the Router Netflow records or by the included high quality IP Prefix
database.
Busiest UPLOAD and DOWNLOAD ASN on Gateways
The following screenshot shows how much Traffic is flowing TOWARDS and FROM each Autonomous
System connected to a Gateway Router. You can also monitor on a per country basis (next section) on
each Gateway Router. You can create alerts when unexpected traffic is routed through the gateway
routers such as when Country
Capacity planning and trending of ASN Traffic on Gateway Routers
Long term monitoring and trending of every single ASN traffic profiles over days, and months help you
Illustration 1: Showing Traffic going to each ASN from a Gateway Router
4. forecast traffic growth of important Peers and Caches. This allows you to plan ahead of time with
increased capacity. The following screenshot shows ASN Traffic over time no Gateway Interfaces.
Troubleshooting and security for ASN
Trisul includes powerful graph analytics functions that help you discover relationships between various
entities. If you have unexpected traffic on AS:8388 and then if you wish to see what actual IP
Addresses are involved you can simply click the AS and expand it to reveal the IP , Host names,
Countries etc. Without this capability you will find it very hard to reveal this information. This is
invaluable for troubleshooting, network management and security.
The following screenshot shows as AS which was seen on a particular Gateway node. By clicking it we
are able to reveal the hosts on that AS for further action.
Illustration 2: Traffic Trend per ASN and Google Caches for planning
5. Prefix based traffic mapping
Link : https://www.trisul.org/docs/ug/ui/interesting_dashboards.html#key_space_explorer
Trisul provides very flexible tools to load your own IP Prefixes into the solution. This way you can
monitor on a Prefix level per Gateway , per Circle, or nationwide. For your internal traffic you can
group all your IP Endpoints into prefixes and monitor at that level. For example you can monitor
115.28.2.0/24 nationwide as one group in addition to each individual endpoint. This lets you build a
high level Prefix Mapping of Traffic at country, circle, and gateway level.
Prefix based monitoring tools
All the previous tools such as Topper Monitoring, Trending, and Edge are also available for IP Prefix
based monitoring. In addition, there are some additional tools we can see here.
Prefix Space Monitoring
The Prefix Space monitoring tool known as KeySpace Monitor lets you drill down into any internal or
Illustration 3: EDGE Graph Analytics showing Hosts inside an AS
6. external IP Prefix range to show usage of Ips within in. The following screenshot shows the usage ratio
of IP endpoints in the Prefix 192.168.0.0/16 For ISP this allows them to track density of IP Prefix and
then use to plan routing and IP Space allocation.
Illustration 4: KeySpace monitor shows which IPs are used in a Prefix
7. Prefix Traffic Mapping
Prefix based traffic monitoring allows you to not only track the inside IP but also the usage of each
block or sub-prefix within the prefix. The following screenshot shows the usage of Total, Transmit,
Receive of each point with a Prefix Range. This feature is called Prefix Key-Space Explorer.
Illustration 5: Traffic mapping of each IP within a Prefix
8. Location based traffic mapping
More Link : https://www.trisul.org/docs/ug/ui/dashboards.html#country_location_based_traffic_monitoring
Tracking traffic per country, region, or city is a crucial capability of any Network Analytics solution.
Trisul allows you to maximum flexibility to track traffic down to the City or area level. This feature can
be enabled at the national, circle, or gateway level or even per-interface.
Location traffic per Gateway Interface
The following screenshot shows upload and download bytes on a per Country Basis on a particular
Gateway. This allows you to verify your routing policies. You can click on any country to drilldown into
it or view trends.
Illustration 6: Traffic upload and download per Country / Gateway
9. Long term Trends per Location for capacity planning
The following image shows Traffic per location. You can observe which City (Chennai, Delhi, Kochi, etc.)
are growing and use that for business planning or capacity planning.
Illustration 7: Traffic Trends per Country
10. Showing High Traffic endpoints on Geo MAP
This map shows you where the top Location wise traffic IP sources and destinations are for a gateway
or for the entire network.
Illustration 8: Traffic shown on Geo Map
11. Dashboards
Link: https://www.trisul.org/docs/ug/ui/dashboards.html#default_dashboards
Features very powerful dashboarding for all Time-Series measurements, Top-N lists, alerts, summary
pages, live views. Users can easily create their own dashboards showing their preferred event
counters, time-series charts. Trisul out of the box supports 150-200 metrics. Metrics like TCP round
trip time, latency. Custom QoS metrics requested like can be monitored by IP SLA features on routers.
The following metrics monitored by IP SLA compatible networks can be added to any dashboard.
•Delay (both round-trip and one-way)
•Jitter (directional)
•Packet loss (directional)
•Packet sequencing (packet ordering)
•Path (per hop)
•Connectivity (directional)
•Server or website download time
This can be shown for paths containing audio (VoIP) or Video traffic. Video duration played from
sources like YouTube, Netflix, Amazon Prime can be monitored by flow based techniques. The solution
allows customized monitoring depending on the video platform.
Some sample dashboards are shown in the next section.
12. Events and counters
The Totals dashboard shows all the various event counters over a selected time period. The items
include Unique AS, Unique Countries, Unique Hosts, Router Interfaces, and dozens of other counter
groups. You can also see security related counter like IDS alerts, threshold crossing alerts, threshold
band alerts. Etc
Illustration 9: Events and counters dashboard
13. Network summary dashboard.
https://www.trisul.org/docs/ug/ui/dashboards.html#live_network_summary_dashbo
ard
A Live Network Summary dashboard showing KPI at the top level for management and high level NOC
operations. It shows live usage, bandwidth, security event counts, top hosts, top Apps. This can be
customized to show any relevant KPI of importance to the teams using it.
Routing Efficiency Dashboards
40 (f) Routing Efficiency Dashboard: Control network costs and build business cases for capital
projects to gain a complete understanding of interconnect relationships. YES ASN, IP, dashboards
Illustration 10: Network summary dashboard
14. Routing efficiency consists of monitoring IGP and EGP link traffic and also traffic at the interconnects.
The solution will monitor IGP links between interconnects, inter-circle, for traffic utilization. The
interconnect links with peers are also monitored for long time trending and storage. All the links on
routers are autodiscovered from Netflow traffic exported from them. This information can be
combined with tools like BGPPlay to simulate and build business cases.
Illustration 11: Showing utilization and KPIs of router IGP and EGP links
15. Real Time Dashboards
https://www.trisul.org/docs/ug/ui/dashboards.html#real_time_traffic
Powerful real time views are available for all metrics in Trisul at 1-sec, 5-sec, and 1-min duration.
There are over 150-200 metrics available out of the box in Trisul to view in real time. Additional
metrics like Video views, or any type of content based policy views can be easily added.
Real Time traffic view
Illustration 12: Real time network traffic view
16. IPv6 Transition Dashboards
IPv6 is fully supported based on Packet Capture and Netflow v9. Top internet applications adopting
IPv6 are monitored and show. The IPv6 adoption internal to the ISP network is also shown. The
following screenshots show IPv6 adoption rate showing top IPv6 users as well as the top flows (video,
apps, chat) using IPv6.
TOP IPv6 Flows APPS can be video, apps, file transfers etc.
Traffic Management Dashboards
40i) Traffic Management Dashboard: To plan congestion management policies based on the granular
insight provided by the Traffic Management Dashboard, then view the positive impact.
Illustration 13: IPv6 Adoption Top users
Illustration 14: IPv6 Top Application flows
17. https://www.trisul.org/docs/ug/ui/interesting_dashboards.html#monthly_summary_dashboard
Trisul monitors 200+ KPI of traffic metrics at 1 minute resolution without any roll ups or
summarizations for long term analytics. Advanced statistical metrics like cardinality counters ( eg
unique applications per host) and top-N snapshots are all enabled out of the box. A few of the
hundreds of metrics are Hosts, Applications,, Countries, AS Numbers, Routers, Ports, etc.Network
flows are analyzed and stored in a custom built database engine designed for very fast storage and
retrieval. The Netflow Interface Tracker is a streaming analytics algorithm that lets you generate long
term accurate drilldowns of interface usage.
MONTHLY Traffic Management
This can be used for planning or billing activities on a monthly basis.
Illustration 15: Monthly traffic managment totals on a calander tool
18. Long term traffic management chart
Study the congestion of any parameter on any link on long term basis by the Long Term Charts tool.
20. Usage management dashboard and segmentation features
https://www.trisul.org/docs/ug/cg/custom.html#filtered_counter_groups
Traffic segmentation refers to the process of setting up filters and groups so you can see where traffic
sources and destinations are and this can help tailor your services. Trisul includes various
segmentation tools – such as Filtered Counters , Key Set Counters, and Rule Based Counters.
Filtered Counters – segment based on one filter
21. KEYSET Counter Group
Monitor traffic based on a group criteria. Such as a set of IP ranges, Locations, Services, Traffic Sources,
Destinations and monitor as one group.
Rule Based Counter Groups
Most flexible , specify any arbitrary rule to meter traffic. Such as Port Ranges applicable to a set of IP
Addresses as Video Traffic.
Illustration 17: Create monitoring groups using KeySets
22. Capacity planning dashboards
40 l) Capacity Planning Dashboard: Gain insight into your Traffic Management deployment to manage
congested resources and measure overall business benefit with the Capacity Planning Dashboard
YES
Trisul includes over 20 tools to analyze traffic for long term capacity planning. Keey track of usage
growth of all KPI and set alerts when they cross a certain threshold.
Illustration 18: Long term capacity planning by Retro Tools
23. Latency measurement from customers to different destinations
There are two methods to calculate latencies supported by Trisul. The first is the built in PING monitor
which measures latency and uptime of several destinations and also customer IP You can also use
Cisco compatiable IP SLA features to setup SLA monitoring and then report on them using SNMP from
Trisul.
Illustration 19: Latency and Uptime from Trisul BULKPING monitor
24. TCP Quality Analysis
The TCP Analyzer provides per session monitoring of Round Trip Latency, Retransmissions, Timeout
counts, and highlights the Ips and Segments facing the worst experience.
25. APPENDIX
Added advantage using flow analysis:
Added Layer of Security
Increased Application Awareness
Verify bandwidth Utilization
Improved Troubleshooting
Capacity Planning
Analytics Dashboard
Top Bandwidth Servers, Consumers and services both inbound and outbound: This is a view of our
Threats overview with Top Bandwidth:
Traffic Monitoring and Reporting
Real time monitoring of traffic over 100 KPIs tracked. It provides, complete visibility of network users,
Alert on thresholds, Hosts/ ISP/ App/ Layer 2/ HTTP meters/ and Country – over 100 ways to analyse.
There are numbers of inbuilt reports and dashboards for flow analysis, if still user doesn’t satisfy then
Report Designer is available to build it yourself or with help from our technical support.
IP or Application Investigation
Investigate any activity of the IP and track down other hosts that might be infected and visibility of
alerts and Malware affected IPs in single page,
Netflow Summary