Every few years, the industry creates a new set of terms that end up creating endless debate on what they mean. One top of mind term is “observability.” Recently Enterprise Management Associates (EMA) surveyed 400 IT/Networking professionals, providing data that helps us dive into the subject. In this blog we look just at the responses from Network Operations professionals.
Responses from Network Practitioners on network tool complaints focused on Data Quality and Scalability. Responses from IT leaders focused on Scope and Expense. This blog looks at the survey results and discusses the issues.
Network Operations Tools must dramatically increase productivity, eliminating redundant / irrelevant tickets, reducing the complexity of identifying incident root, and efficiently scaling
Data types such as SNMP and sFlow are structured with metric extraction in mind. Unstructured log messages often focus more on human readability, though they also contain a wealth of metric data. Augtera’s LogAI can extract metrics from unstructured log messages, apply AI/ML algorithms developed for metrics, detect anomalies, eliminate noise, and notify ServiceNow, Slack, customer Automation systems and more.
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.