Augtera & Industry Overview
- Platform Overview, Founder & CEO Rahul Aggarwal (NFD28 2022)
- Gray Failures and the Need to be Proactive
- Only AIOps
- eBay – Evolving Network Operations (ONUG Spring 2022)
- Executive Roundtable – AI in Networking (ONUG 2021)
- Traffic Visualization
- ML in the Real World – Autocorrelation (ONUG Spring 2022)
- Flow Path Application Performance Issues
- Real-Time Syslog
- Real-Time Syslog and Zero Day Anomalies (NFD28 2022)
- Proactive network Brownout
- Actionable Insights for Data Center and SD-WAN (NFD28 2022)
- Proactive Multicloud Performance Visibility
- Multicloud Performance Insights (NFD28 2022)
Augtera & Industry Overview
First and Leading Network AI platform
The network has never been more critical to the success of global business. It is what keeps applications running and customers coming back. At the same time, there is a lack of proactive visibility and a flood of noise. New approaches are needed. Introducing Augtera, the First Network AI.
Gray Failures and the Need to be Proactive
Industry leaders talk about the complexity of modern networks, the need to detect gray failures, and the need to be proactive.
Industry leaders talk about how only AIOps meets today’s network operations challenges.
NFD28 2022 Augtera Networks Platform Overview
Augtera Networks Founder and CEO Rahul Aggarwal overviews the Augtera Networks Network AI platform. Current networking tools are built around the principle of data collection and then people mine the data when application teams and customers complain. Augtera Networks is applying AI to reinvent network operations, by the continuous mining of the data, 24×7, discovering patterns and correlations at scale, to shift network operations from being reactive to being proactive.
eBay – Evolving Network Operations Through the Power of ML (ONUG Spring 2022)
eBay discuss their results from using AL in their network operations.
Executive Roundtable – AI in Networking (ONUG 2021)
Industry leaders discuss today’s network operations challenges and the benefits of using AI.
ML in the Real World including Autocorrelation
Demonstration of discards and autocorrelation.
An application is having performance issues. The goal is to rapidly establish network innocence or the source of the issue.
Syslog is one of the oldest sources of network telemetry, however it is most often used reactively, to understand a failure that has already occurred. Using AI, Augtera has developed Real-Time Syslog, analyzing billions of messages a day, applying customer-defined classifiers, machine learning, and correlation to the Augtera Network Model.
NFD28 2022 – Real-Time Syslog and Zero Day Anomalies
In addition to Augtera’s existing Real-Time Syslog capabilities such as Classifiers and Rate-Based anomalies, Augtera recently announced natural language processing (NLP) based discover of new / rare messages that are often either anomalies or a precursor to a failure.
Proactive Network Brownout
Organizations are blind to more than 60% of their network brownouts, and they are typically discovered first by IT customers and users. Augtera Network AI can proactively detect a network brownout condition.
NFD28 2022 – Actionable Insights for Data Center and SD-WAN
Proactive detection of data center fabric congestion. TCP sack analysis provides critical insight.
Proactive Multicloud Performance Visibility
Modern networks consist of many locations, many clouds, and many network segments. Monitoring, observability, detection, mitigation, and repair at scale is challenging given these complexities. Network operations teams need a platform that can ingest, analyze, and eliminate noise from many data sources, providing operationally relevant insights.
NFD28 2022 – Multicloud Performance Insights
Using Augtera agents / probes, network performance insights are provided for hybrid / multicloud environments. Information from agents / probes can provide insights by themselves, or correlated with other data sources / types. The Augtera Live AI capability has detected major outages with top public cloud provide long before those providers posted notices about the outages.