In the multi-cloud networking era, smooth operations require observability that detects and prevents service issues. Comprehensive observability includes both internal (through metrics like SNMP and logs) and external perspectives (assessing actual performance using synthetic data).
Augtera’s platform bridges these two approaches, emphasizing the synergy of combined methodologies for optimal network, compute and storage infrastructure performance.
Augtera’s Network AI platform integrates essential data for a complete operational perspective. The platform blends prevention, using purpose built ML-driven anomaly detection, with automation, selectively creating tickets and alerts in ServiceNow, Slack or other tools. Augtera’s synthetic testing functions independently or with other data sources, ensuring insights across both underlay and overlay.
Accuracy and fidelity in Data generation
Data for transport and application connectivity is generated at second level granularity following realistic traffic patterns.
Contextual ML-based analytics
Purpose built anomaly detection algorithms ensure contextual tracking on a per test basis.
Data correlation and scope tracking
Auto-correlation algorithms connect the dots across the network to find the root cause, the impacted services and the scope of the failures.
Pervasive testing though flexible deployment
Augtera’s agent can be automatically deployed in multiple form factors and network locations, while being centrally managed.
Minimize operational noise and automatically trigger ServiceNow incidents, minimizing operational burden.
Augtera’s autocorrelation and anomaly detection capabilites allow businesses to be preventive. Augtera’s automated workflows trigger the creation and management of incidents in ticketing systems such as ServiceNow.
Augtera seamlessly integrates connectivity and application verification. This means businesses aren’t just aware of whether their systems are up; they also know how effectively these systems are serving their end-users. This dual verification becomes a powerful tool in ensuring customer satisfaction.
Leveraging realistic traffic patterns and down-to-second granularity, Augtera’s synthetic testing solution provides the most accurate representation of the end-to-end network state.
With Augtera’s purpose built AI/ML algorithms, the platform pinpoints anomalies and offers insightful correlations, ensuring businesses see the broader picture, providing a coherent narrative of their network’s health.