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LogicMonitor Enhances LM Envision Platform and Introduces Dexda

LogicMonitor 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.

Dexda adds AIOps 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.

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.

As a trusted partner in the advancement of monitoring across on-prem, hybrid and cloud environments, LogicMonitor continues to invest in new ways to manage and monitor network equipment through integrations woven tightly into its overall platform experience.

- Improved VMware vSphere Support - Support for vSphere 8 and automation for the discovery and monitoring of new ESXi Hosts and mission-critical Virtual Machines, eliminating manual processes – reducing the time, resources and risk involved in repeatable remediation processes.

- Cisco Meraki and Catalyst SD-WAN - These new integrations make it easier than ever to monitor Cisco environments in the broader context of one's heterogenous hybrid infrastructure. Customers can now get alerted about anomalous events, visualize network traffic usage and see how Cisco vEdge/cEdge (formerly Viptela), SD-WAN Controllers, Meraki Security Appliances, Switches, Wireless Access Points and Smart Cameras connect to their network and where alert conditions exist.

- Improved Kubernetes Monitoring - Greater coverage and deeper visibility into frequently changing cloud environments with new support and coverage for Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere and enhanced Kubernetes helm and scheduler monitoring.

- SaaS Monitoring - M365 and Okta logs allow users to clearly understand why problems happen, pinpoint the root cause and quickly troubleshoot alongside alerts.

By advancing many key features of its platform, LogicMonitor customers can harness the full potential of their data to make informed decisions with confidence and efficiency. This approach not only streamlines operations, but also provides clarity and precision to the complexities of their IT landscape.

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Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

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LogicMonitor Enhances LM Envision Platform and Introduces Dexda

LogicMonitor 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.

Dexda adds AIOps 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.

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.

As a trusted partner in the advancement of monitoring across on-prem, hybrid and cloud environments, LogicMonitor continues to invest in new ways to manage and monitor network equipment through integrations woven tightly into its overall platform experience.

- Improved VMware vSphere Support - Support for vSphere 8 and automation for the discovery and monitoring of new ESXi Hosts and mission-critical Virtual Machines, eliminating manual processes – reducing the time, resources and risk involved in repeatable remediation processes.

- Cisco Meraki and Catalyst SD-WAN - These new integrations make it easier than ever to monitor Cisco environments in the broader context of one's heterogenous hybrid infrastructure. Customers can now get alerted about anomalous events, visualize network traffic usage and see how Cisco vEdge/cEdge (formerly Viptela), SD-WAN Controllers, Meraki Security Appliances, Switches, Wireless Access Points and Smart Cameras connect to their network and where alert conditions exist.

- Improved Kubernetes Monitoring - Greater coverage and deeper visibility into frequently changing cloud environments with new support and coverage for Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere and enhanced Kubernetes helm and scheduler monitoring.

- SaaS Monitoring - M365 and Okta logs allow users to clearly understand why problems happen, pinpoint the root cause and quickly troubleshoot alongside alerts.

By advancing many key features of its platform, LogicMonitor customers can harness the full potential of their data to make informed decisions with confidence and efficiency. This approach not only streamlines operations, but also provides clarity and precision to the complexities of their IT landscape.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...