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.
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...