Observatory is an Advanced Log Analytics application designed to handle large volumes of Log and Metrics data. Further solving use cases in Application Performance Monitoring, Cybersecurity, Data Governance and other domains.
Built highly scalable, high-throughput applications and data analytics platforms.
Successfully handled massive volumes of data
Leveraged Machine Learning and Artificial Intelligence to solve complex problems
Patent-based and highly optimized log processing, storage, indexing, and search
Incidents are detected and alerts generated as data is ingested.
Just configure Log ingestion. No need to configure patterns, regular expressions and no other complex configurations.
Support for SQL-like QL for search and configurations makes it easy, intuitive and considerably reduces the learning curve.
Highly optimized storage and indexing ensure optimal resource utilization for search. Search returns a related group of logs, rather than just the matching messages, facilitating better Root Cause Analysis.
Log timestamp is detected automatically without any need for configuration.
Variables in the application logs are detected automatically. With minimum curation, these can be verified and named.
Resource usage metrics of the application and application logs are correlated to provide better insights.
The agent collecting metrics and logs is extremely lightweight and performs zero processing at the collection point.
Typically, a single activity (such as a transaction, REST API request/response, or a batch job run) generates multiple log messages. The Observatory will automatically detect all logs corresponding to each activity.
We are miles ahead of our closest competition.
Observability is dedicated to collecting, analyzing, and deriving actionable insights from logs, with a specific focus on log analytics and log management.