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LogicMonitor Launches LM Envision

LogicMonitor announced the launch of LM Envision – a SaaS-based unified observability platform that enables digital enterprises to effectively deliver on business objectives, implement comprehensive visibility and help optimize their IT data supply chain.

LM Envision is engineered to assess the health of thousands of IT assets and applications that generate millions of operational IT data points that make up the IT data supply chain. With IT environments continuing to become more complex, LogicMonitor has delivered a highly-scalable observability platform to ingest, process and analyze massive volumes of data driving fast assessment and management of the health of the overall IT and application infrastructure of an enterprise and ensuring an efficient IT data supply chain. In addition, by helping to bring diverse IT teams and disparate systems together, CIOs and IT teams can better monitor, troubleshoot and manage modern environments, with full and comprehensive support across the entire spectrum from on-premises data centers, containers, networks, and applications all the way to hybrid and multi-cloud environments.

LogicMonitor solutions provide extensibility that features over 2,000 integrations, out-of-the-box thresholding and logic to immediately spot trends and anomalies while establishing baselines for normal behavior on an integrated platform. This single platform approach provided by LM Envision will enable CIOs to gain cross-enterprise visibility, make enterprise-wide data-driven decisions, and deliver the support and innovation needed for today’s digital businesses, while laying the foundation for the next wave of IT innovation and digital business models.

“IT today is all about giving businesses the confidence to act, innovate and operate as required for success in a digital world, so we firmly believe having a single platform for observability needs across the IT landscape empowers the CIO to make company-wide decisions that will deliver a resilient enterprise,” said Christina Kosmowski, CEO, LogicMonitor. “LM Envision now enables different Ops teams to come together on data and key insights, helping to address the fractured IT that CIOs are struggling to hold together. While we have purpose-built this platform for the cloud, LogicMonitor is the only vendor in this space that can claim full and comprehensive support for observability that spans customers’ IT environments from on-premises all the way to hybrid and multi-cloud platforms. With our focus on AIOps, LM Envision and our single platform vision paves the way for more exciting innovations to come, with the self-healing enterprise on the horizon.”

New innovations announced today as part of LM Envision include:

- Application Performance Monitoring (APM) – Enables customers to identify application bottlenecks and optimize performance, providing an external view of website and service performance through synthetic monitoring.

- Cloud Monitoring Enhancements – Expanded coverage for cloud and container visibility and insights for AWS, GCP, Microsoft Azure and Kubernetes environments.

- Logs Advanced Search – New query language that enables customers to use LogicMonitor as log aggregation and management, and surface logs more quickly during troubleshooting.

- Terraform Integration – Automatically adds newly provisioned infrastructure into LogicMonitor, allowing customers to improve their existing IT ecosystem with increased speed and consistency.

- StackStorm Integration – Automate remediation and other actions in response to LogicMonitor alerts to streamline incident response.

- AIOps Alert Troubleshooting Context – Alert aggregation and contextual logs, topology and graphs to help customers reduce MTTR.

The LM Envision unified observability platform helps CIOs with IT-business alignment by correlating IT metrics with business metrics by adding the necessary data context within the IT data supply chain. Additional innovations that further enhance the LM Envision platform include:

- Push metrics API – Bringing in data from nearly any system into LogicMonitor, which can be used to add business context to dashboards, reports and more.

- Logs modules and data sources – Provides out-of-the-box ease in data onboarding, search and analytics of key logging data sources.

- OpenTelemetry – Incorporates business context directly into your microservices to correlate traces to the health of business services.

LogicMonitor’s LM Envision unified observability platform is generally available today for new and existing customers. Existing customers, along with MSPs, can enhance their IT solutions by seamlessly adding these new innovations to their current packages.

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LogicMonitor Launches LM Envision

LogicMonitor announced the launch of LM Envision – a SaaS-based unified observability platform that enables digital enterprises to effectively deliver on business objectives, implement comprehensive visibility and help optimize their IT data supply chain.

LM Envision is engineered to assess the health of thousands of IT assets and applications that generate millions of operational IT data points that make up the IT data supply chain. With IT environments continuing to become more complex, LogicMonitor has delivered a highly-scalable observability platform to ingest, process and analyze massive volumes of data driving fast assessment and management of the health of the overall IT and application infrastructure of an enterprise and ensuring an efficient IT data supply chain. In addition, by helping to bring diverse IT teams and disparate systems together, CIOs and IT teams can better monitor, troubleshoot and manage modern environments, with full and comprehensive support across the entire spectrum from on-premises data centers, containers, networks, and applications all the way to hybrid and multi-cloud environments.

LogicMonitor solutions provide extensibility that features over 2,000 integrations, out-of-the-box thresholding and logic to immediately spot trends and anomalies while establishing baselines for normal behavior on an integrated platform. This single platform approach provided by LM Envision will enable CIOs to gain cross-enterprise visibility, make enterprise-wide data-driven decisions, and deliver the support and innovation needed for today’s digital businesses, while laying the foundation for the next wave of IT innovation and digital business models.

“IT today is all about giving businesses the confidence to act, innovate and operate as required for success in a digital world, so we firmly believe having a single platform for observability needs across the IT landscape empowers the CIO to make company-wide decisions that will deliver a resilient enterprise,” said Christina Kosmowski, CEO, LogicMonitor. “LM Envision now enables different Ops teams to come together on data and key insights, helping to address the fractured IT that CIOs are struggling to hold together. While we have purpose-built this platform for the cloud, LogicMonitor is the only vendor in this space that can claim full and comprehensive support for observability that spans customers’ IT environments from on-premises all the way to hybrid and multi-cloud platforms. With our focus on AIOps, LM Envision and our single platform vision paves the way for more exciting innovations to come, with the self-healing enterprise on the horizon.”

New innovations announced today as part of LM Envision include:

- Application Performance Monitoring (APM) – Enables customers to identify application bottlenecks and optimize performance, providing an external view of website and service performance through synthetic monitoring.

- Cloud Monitoring Enhancements – Expanded coverage for cloud and container visibility and insights for AWS, GCP, Microsoft Azure and Kubernetes environments.

- Logs Advanced Search – New query language that enables customers to use LogicMonitor as log aggregation and management, and surface logs more quickly during troubleshooting.

- Terraform Integration – Automatically adds newly provisioned infrastructure into LogicMonitor, allowing customers to improve their existing IT ecosystem with increased speed and consistency.

- StackStorm Integration – Automate remediation and other actions in response to LogicMonitor alerts to streamline incident response.

- AIOps Alert Troubleshooting Context – Alert aggregation and contextual logs, topology and graphs to help customers reduce MTTR.

The LM Envision unified observability platform helps CIOs with IT-business alignment by correlating IT metrics with business metrics by adding the necessary data context within the IT data supply chain. Additional innovations that further enhance the LM Envision platform include:

- Push metrics API – Bringing in data from nearly any system into LogicMonitor, which can be used to add business context to dashboards, reports and more.

- Logs modules and data sources – Provides out-of-the-box ease in data onboarding, search and analytics of key logging data sources.

- OpenTelemetry – Incorporates business context directly into your microservices to correlate traces to the health of business services.

LogicMonitor’s LM Envision unified observability platform is generally available today for new and existing customers. Existing customers, along with MSPs, can enhance their IT solutions by seamlessly adding these new innovations to their current packages.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...