To Detect SD-WAN Network Brownouts before Failure. Is it Possible?
Posted on Tuesday, January 4th, 2022 by Jean-Marc Uzé

The question is not just a teaser. There is a fundamental reason for introducing this blog in this manner. Because any SD-WAN implementation is a vendor specific mix of standard and proprietary building blocks, breaking the symbiotic relationship that network engineers had with network technology in the past. Previously, network engineers were building an entire network stack  that included connecting links to the router, configuring interface IPs, configuring IGP, BGP peers, dampening, timers, BFD, queues, MPLS LSPs with RSVP FRR or LDP, MPLS VPN route distinguishers, route targets, and many more. 

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How Augtera Detected the AWS Outage 30 minutes Prior to AWS Posting it
Posted on Thursday, December 16th, 2021 by John Heintz

Recently two high profile AWS outages have disrupted service to many organizations using their services.  These outages often have direct and in-direct downstream effects to services which may not be hosted directly in AWS but rely on 3rd party services (e.g., Slack) that use AWS.   A few months back Augtera released a new service , real-time multi-cloud observability that provides actionable insights.  In this blog we will explain how this service  detected and notified operations teams about the recent AWS outage (30 minutes before AWS posted it) and how it provides valuable outage context for organizations that are using multiple regions and public cloud providers. 

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Is AI/ML the Holy Grail of SD-WAN SASE Networks?
Posted on Tuesday, December 14th, 2021 by Jean-Marc Uzé

When we first presented at SD-WAN Summit in 2019 about the applicability of AI/ML on SD-WAN networks, I have to admit that the essence of our pitch was coming from a strong intuition rather than practical experience in that space. This is because most of our production deployments at that time were in WAN and Datacenter segments. However, when I look back at those old slides today when the new edition SD-WAN and SASE 2021 is starting, I am really surprised by how well they resonate with our last two years of deployment in enterprise and MSP SD-WAN infrastructures.

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Real World Example: Preventing outages with proactive detection of environmental degradation
Posted on Monday, November 1st, 2021 by John Heintz

This blog will describe a real example of how an organization uses Augtera machine learning to proactively detect environmental issues before they adversely impact service. Machine learning and AI are not technologies that typically come to mind when you think of monitoring environmental conditions in a facility, however, they should be and this blog will highlight why. Augtera is reinventing the way organizations operate their networks. Augtera machine learning  and AI enable organizations to proactively identify conditions where failure may soon follow.  In this blog, we examine a real-world example of how Augtera machine learning prevented a facility outage, and describe the shortcomings with traditional monitoring systems.

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NetOne Systems teams up with Augtera for ONUG NetSecOps POC
Posted on Wednesday, October 20th, 2021 by Mark Inoue, NetOne

NetOne Systems is participating in the ONUG fall 2021 proof of concept session tomorrow. We are showcasing a practical illustration of how machine learning can enhance NetSecOps workflows to better protect cloud infrastructure. For this proof of concept we have integrated Cloudflare, Augtera Network AI and NetOne Cloud Controller. 

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The First Network AI for the Modern Enterprise
Posted on Monday, June 28th, 2021 by Rahul Aggarwal

When we started Augtera we had a mission to leverage Machine Learning and deep analytics to transform the networking industry. Today we are launching our company and our industry-first Network AI platform – a major milestone towards that goal.

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