Augtera Networks has taken a significant leap in Network AIOps by launching its cutting-edge solution, LogAI, which automates the real-time mining of the network logs. LogAI is specifically designed for network operations, enabling seamless processing of streaming log data from any source and format with zero latency or message drops.
This innovation builds upon Augtera Networks’ extensive expertise in Network AIOps and general AI. As stated by Rahul Aggarwal, Founder and CEO of Augtera Networks, earlier this year the company announced its industry-first real-time Zero Day Anomalies technology for Syslog based on purpose-built, high-performance Natural Language Processing (NLP).
With the recent launch of the expanded LogAI solution, Augtera Networks can now ingest all types and formats of logs into its platform as JSON over Kafka or using APIs. As a result, LogAI can specifically address the challenges of producing actionable insights from unstructured text data at such high volumes. This is particularly useful in situations where noise levels are extremely high, and unknown unknowns often go unnoticed.
Bhupesh Kothari, Augtera Networks Co-Founder and VP of Engineering, explained that real-time semantic understanding of log messages is much more potent than simple text searches and matching. The company has expanded its platform to apply its Network AI technology, including its purpose-built real-time Natural Language Processing innovation across multiple Network Operations logs.
The full LogAI solution by Augtera Networks for any log format includes:
Logs are a valuable source of network telemetry information for network operations. While there are several tools available for historical analysis and querying logs, they have not yet provided real-time anomaly detection capabilities that can leverage the richness of text-based logs.
LogAI was developed to address Network Operations and Network AIOps use cases in real-time, processing streaming log data from any log without latency or message drops. In a blog post by Augtera Networks’ Mark Seery, he explained that one of the critical challenges faced by network operations teams is the number of alerts and trouble tickets generated from an average of 4-10 networking tools per team.
Network AIOps has the potential to be a game-changer by providing a single source of truth across all data sources, producing fewer false positives through advanced ML algorithms coupled with the multi-layer autocorrelation that reduces redundant alarms and tickets. Furthermore, it effectively models relationships across all layers to identify the root of incidents.
The Augtera Networks website describes how LogAI supports flexible ingestion. Syslog has been the standard of network equipment vendors; however, with the rise of cloud-based systems and message streaming technologies, new log formats such as JSON-encoded logs are gaining popularity. Logs are generated in various formats by cloud-based systems and equipment vendors, typically encoded as JSON, and collected, normalized, and distributed by operations teams in many other formats that are also encoded as JSON. Kafka has emerged as a message bus for numerous types of data within Network Operations environments.
LogAI supports all these scenarios today and is agnostic to the log format when ingested, as all logs are normalized to a common internal format. By leveraging LogAI, users can now explore unknown unknowns, given the variety and ever-increasing volume and velocity of log messages across the industry.
Rahul Aggarwal states that no other log solution currently offers real-time NLP-based capabilities like LogAI, which provides high scale, performance, and efficiency. Augtera Networks solutions are used by hyperscale cloud platforms, financial institutions, communication service providers, managed service providers, and enterprises in multiple verticals. With the adoption of no-code tools like AppMaster, businesses can further integrate LogAI into their solutions and gain more comprehensive, scalable software solutions.
