- Written by Will Rideout
- Posted on February 16, 2021
- Updated on February 22, 2021
- 7055 Views
BFD (Bidirectional Forwarding Detection) session telemetry allows for the collection of per session statistics as
- Written by Lavanya Conjeevaram
- Posted on September 22, 2017
- Updated on September 23, 2017
- 6814 Views
CloudVision Portal release 2017.2.0 introduces support for the network wide Telemetry framework consisting of the
- Written by Rajshekhar Biradar
- Posted on May 11, 2021
- Updated on February 6, 2022
- 7045 Views
The Inband Network Telemetry eXport Data (INT XD) feature is used to gather flow, queue, drop telemetry
- Written by Padmanabh Ratnakar
- Posted on October 7, 2021
- Updated on March 29, 2023
- 11833 Views
For network monitoring and troubleshooting flow related issues, it is desirable to know the path, latency, queue and congestion information for flows at different times. The inband telemetry feature(INT), based on Inband Flow Analyzer RFC draft -IFA 2.0 and IFA 1.0(on some platforms) , is used to gather per flow telemetry information like path, per hop latency and congestion. INT is supported for both IPv4 and IPv6 traffic.
- Written by Andy Cheng
- Posted on April 22, 2021
- Updated on April 22, 2021
- 11474 Views
InfluxDB telemetry streaming feature enables telemetry data collection with Telegraf on box, and allows streaming
- Written by Abdul Haseeb Jehangir
- Posted on March 12, 2020
- Updated on July 17, 2024
- 10529 Views
Mirror on drop is a network visibility feature which allows monitoring of MPLS or IP flow drops occurring in the ingress pipeline. When such a drop is detected, it is sent to the control plane where it is processed and then sent to configured collectors. Additionally, CLI show commands provide general and detailed statistics and status.
- Written by Padmanabh Ratnakar
- Posted on April 20, 2021
- Updated on July 15, 2024
- 13017 Views
The postcard telemetry (GreenT - GRE Encapsulated Telemetry) feature is used to gather per flow telemetry information like path and per hop latency. For network monitoring and troubleshooting flow related issues, it is desirable to know the path, latency and congestion information for flows at different times.
- Written by Song-Beng Lim
- Posted on January 12, 2024
- Updated on January 12, 2024
- 2983 Views
Prometheus is an open source monitoring and alerting toolkit. It collects and stores metrics from different sources in a time-series database. Prometheus offers a powerful query language, which allows users to analyze and visualize the collected data in real-time. With its robust alerting system, Prometheus can also notify users of potential issues which helps with their timely resolution.
- Written by Jeevan Kamisetty
- Posted on February 26, 2021
- Updated on July 18, 2023
- 10501 Views
Sampled flow tracking with IPFIX export is supported on most of the Arista platforms. User configured sampling rate is used for sampling in ingress and/or egress direction on the configured interfaces. An EOS software agent on CPU processes samples received from hardware, samples are used to create flow records that are exported to IPFIX collectors. Refer to Sampled flow tracking TOI for additional details.
- Written by Jeevan Kamisetty
- Posted on November 4, 2020
- Updated on October 4, 2024
- 13625 Views
Network administrators require access to flow information that passes through various network elements, for the purpose of analyzing and monitoring their networks. This feature provides access to IP flow information by sampling traffic flows in ingress and/or egress directions on the interfaces on which it is configured. The samples are then used to create flow records, which are exported to the configured collectors in the IPFIX format. Egress Flow tracking is supported from EOS-4.29.0F on the DCS-7170B-64C series and supported on 7280, 7500 and 7800 series platforms from EOS-4.31.1".
- Written by Yunus Gok
- Posted on January 12, 2024
- Updated on January 12, 2024
- 2729 Views
A DMF fabric consists of a pair of controllers, switches, and managed appliances. This feature allows the user to retrieve the infrastructure metrics (interface counters, CPU usage etc.) associated with all these devices centrally from the controllers using its REST API.