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Preventing failures with Machine Learning – is that possible? Anatomy of a predictive optical anomaly 
Posted on Tuesday, January 24th, 2023 by Jean-Marc Uzé

Introduction  Fans of science fiction books or movies have all experienced a sequence when someone who has not yet committed a crime is arrested because AI predicts they will in the coming hours or days.  Can this impressive outcome be experienced today for networks?  

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You Complete Me
Posted on Tuesday, January 10th, 2023 by Allan Rickhi

I met Rahul Aggarwal in June of 2022 and took an immediate liking to the team. Early in a joint customer engagement, it became very clear that there was something special here – not just special but BIG. The customer knew it too. Little did I know it would lead to a dramatic personal change as well.

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Network AIOps: Beyond Monitoring & Observability
Posted on Wednesday, December 21st, 2022 by Mark Seery

AIOps that is purpose-built for Networking, is a generational step forward, going well beyond monitoring and observability to achieve new outcomes: dramatic reduction in alert / trouble ticket fatigue, multi-layer incident root identification, cloud-native geo-diverse scaling & HA, automation playbooks, and more.

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What is Observability?
Posted on Tuesday, December 6th, 2022 by Mark Seery

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. 

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Network Tool Complaints
Posted on Tuesday, November 22nd, 2022 by Mark Seery

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.

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Network Operations Productivity Requires Dramatic Improvement
Posted on Tuesday, November 15th, 2022 by Mark Seery

Network Operations Tools must dramatically increase productivity, eliminating redundant / irrelevant tickets, reducing the complexity of identifying incident root, and efficiently scaling

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Metric Extraction From Logs
Posted on Tuesday, October 25th, 2022 by Mark Seery

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. 

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LogAI vs Existing Log Solutions
Posted on Tuesday, October 4th, 2022 by Mark Seery

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.

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JSON Log and Kafka Support in LogAI
Posted on Tuesday, September 27th, 2022 by Mark Seery

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

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LogAI – A New Log Experience
Posted on Tuesday, September 20th, 2022 by Mark Seery

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.

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