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Hybrid Observability for the Agentic AI Era

Turn your IT infrastructure into a cost-saving engine with Edwin Frontier AI agents monitoring built for the hybrid cloud. By correlating thousands of alerts into one, we drastically reduce Mean Time To Resolution (MTTR).

Unified visibility with LogicMonitor: from hybrid complexity to automated clarity

LogicMonitor’s platform delivers comprehensive visibility across your infrastructure and hybrid environments, using the Edwin Artificial Intelligence engine to streamline operations. This, in turn, enables organizations to identify issues faster, reduce manual workloads, and maintain high performance across cloud and on-premises systems. We at amasol implement, integrate, and continuously optimize LogicMonitor in your environment, aligning technical metrics to your key performance indicators, automating responses within your existing toolset, and providing managed operations so the platform evolves with your needs and the total cost of ownership stays under control.

Key benefits

Unified Observability

Monitor cloud, on-premises, and hybrid environments from a single platform

Scalable Monitoring

Adapt to dynamic IT environments with ease

Proactive Issue Detection

Leverage AI-powered anomaly detection to prevent downtime

Infrastructure Observability

By leveraging the LM Envision platform with the help of Edwin AI and the extensive integration library, amasol identifies performance anomalies and correlates alerts, effectively reducing alert noise and significantly lowering MTTR for your operations. Read more

Hybrid Cloud Observability

When your cloud and on-prem environments live in the same platform, you can monitor, optimize, and scale with clarity, resilience, and speed no matter how complex your architecture. Read more

Edwin AI

Edwin AI is a unified diagnostic and remediation tool designed to give your IT teams complete control over the chaos of modern-day IT ecosystem. As a single pane of glass, Edwin AI finds faults across your entire hybrid cloud infrastructure. Read more

LogicMonitor at its core

Network monitoring

Eliminate blind spots across routers, switches, and cloud networks with real-time visibility into traffic, interfaces, and device health.

Server monitoring

Monitor the health and performance of physical and virtual servers across your data centers and cloud environments.

Remote monitoring

Gain visibility into the tools, tunnels, and apps that power hybrid and remote work, no matter where users connect from.

Virtual Machine (VM) monitoring

Get full-stack observability across virtual machines and hypervisors, from vSphere and Hyper-V to Nutanix and more.

SD-WAN monitoring

Monitor SD-WAN tunnels, edge devices, and link health across multi-vendor networks with performance context built in.

Database monitoring

Track database health, query speed, and capacity trends to keep applications responsive and scalable.

Storage monitoring

Monitor IOPS, latency, and storage capacity across cloud and on-prem arrays to prevent bottlenecks and scale efficiently.

Configuration monitoring

Stay ahead of risk and real-time alerts, full config history, and performance correlation across your infrastructure.

Infrastructure Observability | Optimize with clarity, resiliency, and efficency

LogicMonitor Provides a unified, real-time view of your entire IT ecosystem, spanning from legacy hardware to modern virtualized environments. The platform utilizes agentless collectors and automated discovery to onboard thousands of technologies including servers, networks, storage, and databases in a matter of minutes. With 3,000+ technologies out of the box, LM Envision allow you to monitor, automate, and escalate using the ITSM and CI/CD systems your teams already rely on.

From data centers to distributed clouds, explore LM Envision’s purpose-built solutions designed to deliver real-time visibility, intelligent alerting, and scale-ready observability for every part of your infrastructure.

Amazon Web Services (AWS) monitoring

Make sure your AWS resources run smoothly without surprise costs. Get exactly the insights you need to manage AWS resources smarter and fix issues quickly.

Google Cloud Platform (GCP) monitoring

Clearly see how your GCP environment connects to your entire setup. Quickly troubleshoot problems and confidently manage your Google Cloud resources.

Microsoft Azure monitoring

Connect quickly to your Azure environment for faster troubleshooting and easier management. Clearly see how Azure fits with the rest of your infrastructure.

Oracle Cloud Infrastructure (OCI) monitoring

Track the performance and health of mission-critical OCI resources. Easily see how your OCI compute and storage lines up with your hybrid cloud environment.

Container monitoring

Track changes and resolve issues before they impact performance. Quickly discover and monitor containers from cloud monitoring for Amazon EKS and Azure AKS clusters.

AI monitoring

Keep cloud-hosted AI models running fast, stable, and cost-effective. Monitoring GPU usage, latency, and throughout to detect issues early and optimize performance for LLMs and other AI workloads.

Hybrid Cloud Observability | every stack, one platform

LogicMonitor enables a seamless “single pane of glass” view across public, private, and multi-cloud environment, ensuring full-stack visibility across every region, service, and workload to eliminates costly blind spots. The platform is built for hybrid scale, agentless and automated, which will help you take control of cloud costs by optimizing resource and identifying wasted cloud spend. 

By integrating these contextualized insights alongside Edwin AI, amasol helps you upgrade your IT performance and solve issues faster, proactively spotting bottleneck in critical technologies before they cause downtime. 

Predictive AI

Predictive AI involves using statistical analysis and machine learning (ML) to identify patterns, anticipate behaviors and forecast upcoming events. Instead of waiting for a system to cross a breaking point, predictive AI identifies subtle anomalies and earning warning signals, such as gradual memory leaks or unusual latency trends. This provides your team with the foresight to mitigate risks before they impact your operations which will reduce MTTR.

Generative AI

Generative AI transforms complex technical data into clear and actionable insights your team can understand faster and more efficiently. Rather than forcing engineers to parse through raw metrics, logs, and alert codes, Generative AI summarizes incident in plain language by explaining what is broken, which services are affected, how many users are impacted, and the business severity. It contextualizes findings by pulling relevant documentations, past incidents, and recommended runbooks.

Agentic AI

Agentic AI autonomously gathers context and takes action to resolve incidents with minimal human intervention with governance provided by amasol. Edwin AI proactively retrieves relevant information from across your environment including ServiceNow tickets or any ITSM system you have, Slack or Microsoft Teams conversation, runbooks, configuration changes, and historical incident data. If a proven remediation exists and sets up by you through amasol, Agentic AI can either recommend the fix with full context or execute it automatically based on pre-approved playbooks. 

Edwin AI | self healing IT Operations

Edwin AI applies frontier AI agents to eliminate the execution gap in operations. Instead of chasing incidents, IT teams gain an agentic solution that anticipates, acts, and resolves problems end to end. Under amasol’s strict governance and guardrails, Edwin AI never execute major system changes without a human expert as a final touchpoint. With the help of Edwin AI, amasol transforms your operation from reactive to proactive.

Solve real world challenges | agents in action

Investigate incidents in conversation

Turn complex incident response into simple dialogue by using Edwin AI's generative interface to investigate through natural language. Your team can ask questions, remediate problems, clarification on complex report within a conversational thread that taps into your organization's collective troubleshooting knowledge. The main goal is to resolve incident faster and this tool will help your team in doing so.

Know the root cause

Observability alone shows you what is happening. Edwin explains why. By connecting the dots between logs, metrics, and traces, the platform automatically correlates symptoms across your services to pinpoint the true initiating change. amasol helps you leverage context aware reasoning technology to ensure your team doesn't investigate scattered warnings and starts with resolving the actual root cause.

Correlate alerts in real time

Edwin AI automatically groups fragmented data from various sources into a single, unified incident known as an Insight. By identifying relationships between alerts and deduplicating recurring noise, the platform links signals across your hybrid environment to reveal cause and effect. This process allows you to trace dependencies and filter out irrelevant alerts, highlighting significant issues and driving the fastest path to resolution.

Predict and prevent outages

Extended downtime, fragmented data, and manual troubleshooting are the primary obstacles that prevent organizations from achieving a fast MTTR. Edwin AI correlates thousands of alerts into actionable insights to pinpoint root causes, while using historical patterns to detect anomalies before they escalate into incidents. With the help of amasol, you can proactively solve problems before they hurt you financially or operationally.

Group issues across domains

Maximize operational efficiency by consolidating fragmented tools into a single, AI-driven platform that merges alerts across ITOps, SecOps, and DevOps into a single incident with full context. By leveraging discovery and Edwin AI's noise reduction, amasol can filter out 90% of alert fatigue to focus on high-value innovation rather than repetitive and boring manual troubleshooting.

Route and escalate automatically

Edwin AI triages incidents, assigning them to the right team based on severity, scope, and context. By autonomously calculating the blast radius and identifying probable root causes, it removes the frustrating manual triage that typically slows down ITOps. This intelligence flows directly into ServiceNow, where Now Assist processes the context to initiate remediation or assign tasks.

Edwin AI features

Event intelligence

Provides real-time correlation, deduplication, and enrichment of alerts across hybrid IT. With ITSM sync, AI tagging, and third-party ingestion, it delivers clear, prioritized incidents that matter most.

Know the root cause

Observability alone shows you what is happening. Edwin explains why. By connecting the dots between logs, metrics, and traces, the platform automatically correlates symptoms across your services to pinpoint the true initiating change. amasol helps you leverage context aware reasoning technology to ensure your team doesn't investigate scattered warnings and starts with resolving the actual root cause.

Correlate alerts in real time

Edwin AI automatically groups fragmented data from various sources into a single, unified incident known as an Insight. By identifying relationships between alerts and deduplicating recurring noise, the platform links signals across your hybrid environment to reveal cause and effect. This process allows you to trace dependencies and filter out irrelevant alerts, highlighting significant issues and driving the fastest path to resolution.

LogicMonitor solutions

IT process automation

Simplify automation with built-in workflows, rapid setup, and AI-powered context. With AI-Enriched alert context, you gain surface actionable insights and automatically trigger the right response. With the help of amasol, anything that can be automated within your unique operation will be automated with strict governance with the main goals of lower operational costs and maximum uptime.

Digital transformation

Complexity, cost, and risk stop most organization from a successful transformation of their IT operations. LogicMonitor bridge the gap between between managing legacy on-premises hardware and scaling new cloud services. By partnering with amasol, you eliminate complexity, reduce cost, and mitigate risk through a governed, single pane of glass approach that unifies your entire hybrid ecosystem.

Cloud migration

Lack of visibility, unpredictable costs, and the fear of performance degradation are the main reasons that scare off organizations with legacy systems to migrate to the cloud. LogicMonitor hybrid observability provides a unified, data-driven view of your entire migration journey. By partnering with amasol, you eliminate blind spots, reduce wasted cloud spending, and mitigate the risk of downtime through proactive performance tracking.

Reduce Mean Time to Resolution (MTTR)

Extended downtime, fragmented data, and manual troubleshooting are the primary obstacles that prevent organization from achieving a fast Mean Time to Resolve. Edwin AI correlate thousands of alerts into a single actionable insight that pinpoints the root cause. With the help of amasol, you proactively seek out to solve problems before they hurt you financially and operationally.

Operational efficency

Maximize operational efficiency by consolidating fragmented tools into a single, AI-driven platform. By leveraging discover and Edwin AI's noise reduction, amasol can filter out 90% of alert fatigue to focus on high-value innovation rather than repetitive and boring manual troubleshooting.

Cost optimization

Maximize your ROI by gaining total visibility into your hybrid spend, from underutilized on-premises hardware to hidden cloud costs. By leveraging AI-powered capacity planning and automated resource discovery, you can eliminate wasteful "zombie" assets and optimize your environment with precision. With the help of amasol, you replace guesswork with data-driven financial insights. We maintain a comprehensive audit trail of every euro saved, ensuring that when finance review your budget, they see a perfectly optimized operation.

Get more information on LogicMonitor

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thank you for registering for the Workbench | Threat detection with AI-based behaviour analysis.

Here is the most important information:

When: Tuesday, 30th of September 2025 | 10 a.m. – 11 a.m.
Where: Online via Zoom.

We look forward to your participation and to interesting discussions and presentations on the topic of Detectability.

Kind regards
Laura Ilgner

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