Augtera Networks announced a Network AIOps solution for Network logs.
Rahul Aggarwal, Founder and CEO of Augtera Networks, said: “Today we are pleased to announce our expanded LogAI solution for all types and formats of logs that can be ingested in the Augtera platform as JSON over Kafka or using our APIs. No other log solution provides this real-time NLP based capability, and LogAI does it at high scale, with high-performance, and high-efficiency.”
The full LogAI solution, for any log format, includes:
- Support for an expanding number of log formats/transports including Syslog, JSON, JSON over Kafka, and an Augtera API.
- Zero Day Anomaly detection of “unknown unknown” new and rare syslog messages that often precede outages.
- Collective Learning across the entire Augtera Networks customer base of high-fidelity log classifiers.
- Purpose-built rate change ML algorithms that identify log message bursts with high fidelity and low false positives
- Extraction of metrics embedded in log messages with the ability to apply metric algorithms for anomaly detection and other Network AI capabilities.
- Tag-based structured log search
- Noiseless integration into ServiceNow, Slack, Automation, and other upstream systems.
“The semantic understanding of log messages in real-time is much more powerful than simple text searches and matching,” said Bhupesh Kothari, Augtera Networks Co-Founder and VP of Engineering. “We have expanded our platform to apply our Network AI technology including our purpose-built real-time Natural Language Processing innovation across multiple Network Operations logs.”
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