Extend Sumo Logic platform with AIOps capabilities
Maximize Sumo Logic investment by extending its capabilities into AIOps. Sumo Logic now has deep integrations with ignio – an industry leading and highly rated AIOps product.
Enable AIOps with ignio and Sumo Logic
Maximize Sumo Logic investment by extending its capabilities into AIOps. Sumo Logic now has deep integrations with ignio – an industry leading and highly rated AIOps product.
ignio’s Business Health Monitoring Solution for Retail proactively checks the health of stores, e-commerce sites and other critical business services and uses AI/ML to ensure smooth operations and high-quality customer experiences.
Get a 360° view of all alerts across your enterprise technology stacks, including infrastructure monitored by Sumo Logic. Unleash Machine Learning to remove unwanted event noise and autonomously resolve business-critical issues.
Intelligent Command Center suppressing, aggregating, resolving, predicting, and prescribing resolutions for Enterprise-wide events. Drive smarter IT resolutions by pulling in additional data from Sumo Logic using the ignio integration.
Autonomous, self-healing of incidents and alerts using AI and Machine Learning combined with industry-proven, domain knowledge models. ignio’s integration with Sumo Logic pulls in additional alert and event context about your applications, IT assets and infrastructure to power complex, self-healing workflows.
Geographic view of enterprise locations (e.g., stores, plants, etc.) showing real-time health at each location.
360° Profiling of Events, including Vitals (e.g., change points, anomalies, trends, and patterns), Dynamic Thresholds, forecasted events, event communities (e.g., correlated and aggregated events), and Dependencies (e.g., upstream, downstream and sibling impacted nodes).
ignio monitors operations and business health of satellite offices/locations around the world for global enterprises, presents this information in an interactive and actionable dashboard with prescriptive and proactive recommendations.