LogicMonitor, a leading SaaS-based unified observability platform for hybrid IT infrastructure, announced expanded integrations, insights and workflows to the LM Envision Platform. LogicMonitor is also introducing Dexda, an event management solution that filters through the noise of thousands of daily alerts by using advanced machine learning (ML) techniques, contextual enrichment capabilities and deduplication efforts. Together, these additions allow customers to reach a significantly lower mean time to resolution and lower risks to the business.
“Every business is under tremendous pressure to seamlessly deliver exceptional digital performance,” states Christina Kosmowski, CEO, LogicMonitor. “To efficiently do that, our customers look to us to contextualize the overwhelming amount of data within their complex IT environments.“
The core of LogicMonitor’s platform has been built with advanced machine learning, intelligence and automation, combined to abstract complexity and deliver business impact through IT data collaboration. The company has focused its product roadmap in the areas of intelligence, experience and extensibility.
Intelligence and Automation
Dexda is the next evolution of AI Ops. It is built on top of LogicMonitor’s extensive data set and integrated into its platform, so users can effortlessly move from alerting to automating actions. Key attributes of Dexda include:
- Adaptive Correlation – Alerts are automatically re-clustered when a more optimal option is detected.
- ServiceNow Ready – Automatically enriches Dexda alerts with ServiceNow CMDB data to drive additional context for ML correlations.
- User-defined Correlation – Dexda admins can now fine-tune the ML models to meet their unique needs or build new ML models.
In addition to Dexda, LogicMonitor has also delivered:
- Event-Driven Ansible Integration – This jointly developed solution with Red Hat assists with auto-remediation and auto-troubleshooting. This integration lets customers trigger remediation workflows in Ansible and act in accordance with predefined rules.
- Datapoint Analysis – Leverages machine learning techniques to find related metrics and patterns across different resources, which in turn reduces MTTR and increases productivity.
Unified Platform Experience
A unified platform experience is critical for consistency, adaptability and scalability while reducing tool sprawl and data complexity. Troubleshooting in hybrid modern environments requires a contextual and intuitive UX across devices, services and networks. This modernization and unification effort is the key to continually delivering new capabilities to users and keeping time to value short for new customers.
- UI Modernization – Optimized to present information in complex hybrid environments. Components for all parts of the LM Envision platform now include bulk actions, better search and filtering and new editors for LogicModules.
- Expanded Cloud Support – 20 new out-of-the-box dashboards for AWS and Azure, accelerating time to value while providing service-specific views for more insight into health, performance and availability.
- Log Ingest and Filter Simplification – Introduced declarative UI to simplify log collection and configuration. Users can also add custom LM Properties to the logs which allows for more flexible searching and potentially faster MTTR.
- Digital Experience Monitoring – Synthetic tests now support multi-factor authentication (MFA) and automated alerts for latency and error conditions.
SOURCE: Businesswire