LogAI is focused on automated real-time Network Operations, creating operationally relevant insights at the speed of streaming log data, and automatically responding based on customer preference.
On September 20th, 2022, Augtera Networks announced LogAI support for JSON and Kafka, both of which are increasing in use by Network Operations teams, and IT in general. This support adds to LogAI’s flexible ingestion, structured query, regex, and flexible notification/publication capabilities
Today we are excited to announce a new category of log solution. LogAI is purpose-built for Network Operations, and purpose-built for real-time anomaly detection and automation. This is a totally new experience of log data, purpose-built for real-time Network AIOps of log data.
Eliminating Network alert storms is critical because they are disruptive to Network Operations in multiple ways.
When discussing Network AI, we sometimes get some interesting reactions to SNMP. Specifically when we reveal the amount of effort we have put into a powerful and scalable SNMP “engine”, and our claim that it actually works!
AI/ML is going to make significant contributions to fidelity, prevention, and sustainability. The first significant beneficiaries may be network operations. The ultimate win though, may be for autonomous networks.
Where is the “network” in AIOps? No where in most AIOps discussions. That all changes with Augtera’s Network AI.
What exactly is AI good for? Quite a bit it turns out, and specifically for network operations, where AI is now shining.
Today, there are many sources of unstructured data that are a wealth of valuable information to network operations teams. In this blog we discuss some of the ways Augtera’s Network AI finds and uses structure, in unstructured logs.
Augtera’s Network AI transforms network operations, incident response, and incident management by delivering on three fundamental value propositions: faster resolution of incidents, better insights on incidents, and fewer overall incidents.
