Network Monitoring Without The Gaps
Spot and solve network issues fast before they disrupt users. Get complete visibility across your cloud, data center, and every edge device in one platform.
At LogicMonitor, we believe that shaping the future of Agentic AIOps and observability requires more than just powerful technology. It demands bold perspective, deep market insight, and strategic vision. That’s why we’re excited to welcome Gregg Siegfried, former Gartner Vice President and longtime observability analyst, as our new Head of Market Strategy & Competitive Intelligence.
Gregg brings over 30 years of operating and advisory experience to LogicMonitor, including nearly a decade guiding enterprises through complex decisions in monitoring, AIOps, and IT operations. His appointment signals our deepened commitment to delivering insight-driven innovation in an increasingly dynamic market.
We sat down with Gregg to learn more about his move from Gartner back into operating, his take on observability trends, and what excites him about joining LogicMonitor at this pivotal moment.
Q: After nearly a decade at Gartner, what inspired your move back into operating—and why LogicMonitor?
Gregg: I’m a builder. Most of my career has involved creating or operating software products and services. Gartner is a wonderful place to work, and it absolutely reshaped my approach to technology, but at some point, I realized I missed building. With the industry evolving so rapidly, I realized I wanted to shift from observing change to driving it, and that meant stepping back into an operating role. I began to wonder if I could return to a smaller, more agile environment.
LogicMonitor has exactly the right combination of size, stability, and potential to capture my interest. The team is exceptional. The platform is helping customers not only monitor infrastructure but optimize, automate, and scale it in ways that weren’t possible even a few years ago. When I saw how it’s powering digital transformation for global brands, I knew I wanted to be part of that story. And Christina [Kosmowski, CEO]—well, she can be very convincing, as you probably know.
Q: From your vantage point, what are the most exciting—and most overhyped—trends in observability right now?
Gregg: Agentic AI probably fits both categories. AI has moved incredibly fast, and it’s hard not to be impressed by what LLMs are already enabling. But hype can outpace reality. I’m also closely watching OpenTelemetry’s momentum—adoption is accelerating, and its stability has improved dramatically.
More broadly, I’m excited by how observability is expanding to touch things like incident response and progressive delivery. I’ve long been a proponent of autonomous IT operations, and it’s finally starting to feel within reach, assuming we can move beyond rule-based AI systems to agent-first ones that can take action. Also, of course, we have to have that unified data context to bring the telemetry and observability dataset together with external ITOps context to power a unified knowledge graph. This does require a level of collaboration across the vendor ecosystem that’s incredibly diverse right now—there’s something for everyone.
Q: Your role at LogicMonitor spans market strategy and competitive intelligence. How do you separate signal from noise in such a fast-moving space?
Gregg: Ask me again in a few months! But seriously, my experience leading Magic Quadrants taught me how to filter overwhelming volumes of input—vendors, clients, noise—and zero in on what really matters to customers looking to achieve outcomes for their organizations. Sometimes, what isn’t being talked about is more important than what is.
I’m especially excited that there’s such strong internal AI adoption at LogicMonitor, stemming from the OpenAI collaboration. These days, it’s not that we have too little data—we often have too much. Partnering with teams across Sales, Product, Engineering, and Marketing will be essential to ensure we’re always reading the right signals.
Q: How do technologies like OpenTelemetry, eBPF, and AI figure into the future of observability?
Gregg: The future of telemetry acquisition is open source—and right now, that means OpenTelemetry. Robust OTel support is already “table stakes.” Differentiation in this space is shifting toward analysis, insights, and automation.
eBPF is fascinating. It enables safe code execution in the Linux kernel and powers some slick instrumentation use cases. For example, some tools can now auto-instrument applications without touching the code—collecting traces, logs, and metrics directly from the kernel.
And with AI, it’s a double-edged sword. Observability platforms will increasingly depend on AI for anomaly detection, adaptive thresholds, and GenAI-based insights. And the future lies with agentic AIOps. But at the same time, we also need to be thinking about how we observe AI and agents. LLM-based apps can seem healthy by traditional metrics but deliver nonsense due to hallucinations or drift—a nontrivial observability challenge.
Q: What’s one piece of advice you’d give to enterprise teams navigating today’s complex observability stacks?
Gregg: Simplify. Rationalize. Most teams don’t need 10 or 20 monitoring tools anymore. And having all these tools will only slow you down more as the IT environment gets more complex. Today’s platforms are powerful—the challenge is understanding how your systems interact. Reducing tool sprawl makes those relationships much clearer. That’s where resilience lives.
Q: And finally — what keeps you grounded outside of work?
Gregg: My family, absolutely. I’ve spent the last decade living in a forest, and nature’s constant change is incredibly grounding. I recharge through music—playing, listening, traveling to shows. I also volunteered as an EMT for years. That work puts “IT emergencies” into perspective pretty quickly.
Looking Ahead
Gregg’s arrival comes at a transformational moment—not just for LogicMonitor, but for the entire observability category. As we invest in AI-powered insight, open standards like OpenTelemetry, and platform-wide simplification, Gregg will be instrumental in ensuring our strategy stays sharp, differentiated, and customer-led.
We’re thrilled to welcome him to the team.
👉 Connect with Gregg on LinkedIn
📢 Stay tuned for more from Gregg in upcoming analyst and industry briefings.
You can filter which AWS resources LogicMonitor auto-discovers by applying AWS tag filters. After discovery, LogicMonitor adds the resources as cloud resources and applies any associated AWS tags as resource properties..
AWS Tag Property Format
LogicMonitor adds tag-based properties using the following format:
system.aws.tag.<NAME>=<VALUE>
NAME—The name of the AWS tagVALUE—The value of the AWS tag
Note: AWS tag filters are case sensitive.
AWS Tag Property References
You can reference AWS tag-based properties throughout your LogicMonitor account. For example, to create a dynamic group of AWS resources based on a tag value, use the following AppliesTo expression:
system.aws.tag.NAME=~"VALUE"Replace NAME and VALUE with the specific tag key and value.
For example, the following table displays how LogicMonitor property names correspond to an AWS tag name:
| LogicMonitor Property Name | AWS Tag Name |
| system.aws.tag.aws:cloudformation:stack-name | aws:cloudformation:stack-name |
| system.aws.tag.team | team |
When your team can see everything and understand what to act on, incidents shrink, outcomes improve, and IT becomes a driver of growth.
Fix problems before users notice
When you can detect and resolve issues early, you avoid service disruptions, missed SLAs, and late-night fire drills. That means happier users and less stress for your team.
Stay in control of your entire network
From cloud to data center to edge, get the awareness you need to make confident decisions, reduce risk, and stop problems before they spread.
Recover faster from every incident
Fewer escalations, faster root cause isolation, and smarter workflows mean less downtime and more time for the work that moves your business forward.
Prove performance and meet your commitments
Whether you’re tracking uptime SLAs or validating availability across environments, LM Envision helps you show the value IT delivers with data that’s always ready.
Do more with the team you have
By replacing patchwork solutions with a unified platform, you simplify day-to-day work and free your team to focus on what matters.
Connect network health to business outcomes
Show stakeholders how network behavior affects user experience, revenue, and growth, so IT can lead with impact, not just uptime.
OBSERVABILITY POWERED BY LOGICMONITOR ENVISION AND EDWIN AI
Everything you need to monitor, troubleshoot, and optimize your network end to end
LM Envision combines real-time visibility, automated discovery, and AI correlation to pinpoint issues, so you can keep users happy and your infrastructure running.
Detect
Track
Monitor
Identify
Report
Discover and map devices without the manual work
Quickly detect and map every device in your network using scheduled discovery and dynamic topology views.
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Auto-discover routers, switches, and firewalls Scan IP ranges on a schedule to identify new devices and apply best-practice monitoring templates automatically.
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Visualize Layer 3 network relationships Generate live topology maps to see device connections and streamline root cause analysis.
Surface real-time metrics for network health
Track performance across routers, firewalls, and interfaces in real time to spot issues before they impact users.
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Monitor metrics every 30 seconds Use SNMP, WMI, or API polling for high-frequency insights into CPU, bandwidth, and latency.
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Eliminate noise with dynamic thresholds Apply intelligent baselines that adapt to your environment to reduce false positives and highlight real problems.
Get complete visibility into network traffic
Monitor traffic patterns across devices, apps, and protocols to identify top talkers and bandwidth hogs fast.
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Track usage by application and protocol Instantly identify which services and devices are consuming the most bandwidth across your network.
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Drill into flow-level traffic data Trace traffic by source, destination, and volume—no additional tools or integrations required.
Detect anomalies and trigger smart
Use built-in machine learning to identify abnormal behavior and route alerts automatically to the right team.
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Spot issues with predictive alerting Forecast capacity problems and performance degradation before they affect SLAs or user experience.
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Route alerts with full-stack context Notify the right team instantly with alerts that include logs, metrics, and correlation data.
Build dashboards and reports for every team
Create custom views for operations, leadership, or customers, then automate reporting to keep everyone informed.
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Create dashboards by role and function Customize visualizations for the NOC, execs, or external stakeholders with metrics that matter to them.
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Send scheduled reports automatically Share recurring PDFs or CSVs with uptime, usage, and availability metrics tailored to each audience.
INTEGRATIONS
Works with everything that keeps you connected
Whether it’s switches, routers, firewalls, or cloud-based edge devices, LM Envision connects it all. With 3,000+ out-of-the-box integrations and full API support, you get deep insights without a heavy lift.
100%
collector-based and API-friendly
3,000+
integrations and counting
AI AGENT FOR THE NOC
Edwin AI knows what matters and what doesn’t
Edwin AI correlates logs, metrics, and topology to pinpoint root causes across your network, before users feel the impact. Just ask, and Edwin explains issues in plain language, so your team can respond instantly.
67%
ITSM incident reduction
88%
noise reduction
"LogicMonitor helps us succeed by being a true partner."
"Edwin AI delivered value within an hour of implementation."
"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."
"LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs."
"Edwin AI is not another AI tool, but an essential part of our IT team."
"Switching from SolarWinds to LogicMonitor showed us how much we were missing."
"Edwin AI will be 100x faster than a human and able to manage complex problems."
"LogicMonitor tells you what’s happening in the environment."
"The sheer power of LogicMonitor’s monitoring capability is amazing."
"Edwin AI cut noise by 90% & ITSM incidents by 76%, enabling better customer service."
"The single pane of glass across all of our regions enables us to act more proactively."
BY THE NUMBERS
Network monitoring that makes an impact
0
%
fewer tickets
0
%
fewer monitoring tools
0
%
faster MTTR
0
%
time savings
GET ANSWERS
FAQs
Get the answers to the top network monitoring questions.
Will LogicMonitor work with all my network gear?
Yes. LM Envision supports 3,000+ devices and protocols—routers, switches, firewalls, SD-WAN, and more—out of the box.
Can I share dashboards with other teams or execs?
Yes. Role-based dashboards and scheduled reports make it easy to keep NOC, leadership, and customers aligned.
How hard is it to deploy and scale?
Setup is agentless and fast. Most teams are fully up and running in hours, not weeks—with minimal configuration.
Can LogicMonitor cut down on alert noise?
Absolutely. Edwin AI and dynamic thresholds reduce false positives and prioritize what actually needs your attention.
How deep is the data visibility?
LM Envision collects high-resolution metrics every 30 seconds and correlates logs, metrics, and flow data for full context.
Start monitoring smarter with LM Envision
Tarification de LogicMonitor
La tarification de LogicMonitor est simple, prévisible et liée à la valeur métier, pour une surveillance moderne à toute échelle. Étendez la visibilité et la disponibilité sur l’ensemble de votre environnement hybride et multicloud avec LogicMonitor.
*Des remises sur volume sont disponibles.
Tarification flexible pour une observabilité hybride complète
Tarification claire et évolutive pour une visibilité complète sur votre infrastructure hybride.
Surveillance de l’infrastructure
Bénéficiez d’analyses prédictives et d’un dépannage intelligent sur les serveurs, machines virtuelles, SD-WAN, stockage, réseau, et plus encore.
Prix catalogue
22 USD
*Par ressource/mois, remises sur volume disponibles
Surveillance du cloud IaaS
Prenez davantage de contrôle et de visibilité sur vos ressources cloud, y compris AWS EC2, Azure VM, Azure Scale Sets VM, GCP Compute Engine, et plus encore.
Prix catalogue
22 USD
*Par ressource/mois, remises sur volume disponibles
Points d’accès sans fil
Surveillez et recevez des alertes sur les indicateurs essentiels de santé et de performance du réseau sans fil pour Juniper Mist, Cisco Meraki, Extreme Networks, HPE Aruba Networking Central, Ubiquiti UniFi, et plus encore.
Prix catalogue
4 USD
*Par ressource/mois, remises sur volume disponibles
Surveillance du cloud PaaS et des conteneurs
Consultez les métriques des fournisseurs cloud pour les charges de travail basées sur le calcul, y compris AWS, Azure, GCP, Kubernetes, bases de données MongoDB Atlas, Docker, et plus encore.
Prix catalogue
3 USD
*Par ressource/mois, remises sur volume disponibles
Tarification par couches pour l’IA
Tarification flexible pour une surveillance pilotée par l’IA et un dépannage avancé.
Analyse intelligente des journaux
Des analyses puissantes et contextuelles accompagnant les métriques d’infrastructure pour un dépannage rapide.
Prix catalogue: 2,50 USD
*Par Go/mois pour une conservation de 7 jours
Prix catalogue: 4 USD
*Par Go/mois pour une conservation de 30 jours
Prix catalogue 5,50 USD
*Par Go/mois pour une conservation de 90 jours
Prix catalogue 7 USD
*Par Go/mois pour une conservation d’un an
*Facturation annuelle. Prix valables uniquement aux États-Unis. Des remises sur volume sont disponibles pour l’ensemble de nos produits.
Produits supplémentaires
Y compris des fonctionnalités telles que la surveillance synthétique, les traces et la surveillance des applications SaaS.
Foire aux questions
FAQs
Puis-je essayer LogicMonitor avant de l’acheter ?
Oui, les clients peuvent profiter d’un essai gratuit avant de s’engager à acheter.
Des remises sur volume sont-elles disponibles?
Oui, des remises sur volume sont disponibles. Veuillez contacter notre équipe commerciale!
Contact sales
Que se passe-t-il si un client dépasse son quota d’utilisation engagé?
Les clients qui dépassent leur quota d’utilisation engagé sont facturés 1,5 fois leur tarif contractuel.
Qu’est-ce qu’une ressource d’infrastructure à des fins de facturation?
Les ressources sont les composants qui constituent votre infrastructure sur site, comme les serveurs (physiques ou virtuels), le stockage et les réseaux. Sur la plateforme LogicMonitor, chaque ressource est représentée par une seule adresse IP de gestion (ou un nom DNS). Vos ressources peuvent se trouver à plusieurs emplacements physiques ainsi que dans le cloud.
Qu’est-ce qu’une ressource cloud à des fins de facturation ?
- LogicMonitor simplifie la tarification cloud et la rend plus prévisible en ne comptabilisant que les ressources de calcul.
À des fins de facturation, LogicMonitor comptabilise les parties de vos charges de travail liées au calcul. Les ressources de calcul sont généralement connues et déployées de manière intentionnelle. Cela inclut des unités IaaS telles que les instances AWS EC2, Azure VM, Azure ScaleSet VM et GCP Compute Engine. L’unité IaaS cloud inclut la surveillance de jusqu’à 10 services cloud non liés au calcul, comme le stockage, le réseau, les pare-feux, les services d’équilibrage de charge, et plus encore.
Les ressources non liées au calcul sont plus difficiles à prévoir, c’est pourquoi elles sont incluses dans la licence de calcul.
Les services de calcul PaaS seront comptabilisés séparément à des fins de facturation. Cela inclut des services courants des fournisseurs cloud tels que ECS Cluster, AWS Lambda, Azure Virtual Desktop, GCP App Engine, les pods Kubernetes, et plus encore.
Les clients peuvent-ils ajouter une couverture de surveillance cloud supplémentaire à mesure que leur entreprise se développe ?
Oui. La couverture de surveillance pour 10 services IaaS cloud non liés au calcul est incluse avec l’achat de chaque unité Cloud IaaS. Pour surveiller un bloc supplémentaire de jusqu’à 10 services non liés au calcul, vous devrez acheter une unité Cloud IaaS supplémentaire.
Les clients peuvent-ils surveiller plusieurs fournisseurs cloud simultanément avec LogicMonitor ?
Les entreprises utilisent souvent des environnements multicloud pour répartir les ressources informatiques et réduire les risques d’interruption de service ou de perte de données. La plateforme LogicMonitor applique une stratégie de surveillance complète pour optimiser les performances globales du cloud. Elle offre aux utilisateurs une visibilité en temps réel, fondée sur les données, sur chaque composant potentiellement critique de leur déploiement cloud, à travers trois éléments fondamentaux : la surveillance des fournisseurs cloud, la surveillance des performances des ressources et une analyse détaillée du retour sur investissement. component of their cloud deployment through three fundamental elements: cloud provider monitoring, resource performance monitoring, and detailed ROI analysis.
Quels fournisseurs cloud LogicMonitor surveille-t-il ?
La stratégie en trois volets de la plateforme LogicMonitor (surveillance des ressources, surveillance de la disponibilité des fournisseurs cloud et surveillance du retour sur investissement) ne dépend pas du fournisseur cloud. Actuellement, les services cloud pris en charge incluent Amazon Web Services, Microsoft Azure et Google Cloud Platform. En outre, la fonction de surveillance SaaS de LogicMonitor permet un suivi approfondi des applications SaaS telles qu’Office 365, Salesforce, Zoom, Slack, et bien d’autres.
Qu’est-ce qu’une ressource SaaS à des fins de facturation ?
La couverture de surveillance SaaS s’adapte à la taille de votre entreprise et dépend du nombre d’utilisateurs pour un service SaaS donné. Par exemple, la surveillance de Microsoft Office 365 est facturée en fonction du nombre d’utilisateurs M365 dans l’entreprise. La tarification est établie par utilisateur et par an.
Les traces APM sont mesurées en spans. Qu’est-ce qu’un span ?
Un span désigne une unité transactionnelle de travail effectuée dans un système, avec une heure de début et de fin. Il peut s’agir de fonctions, d’appels à une base de données, de scripts de démarrage, etc. Plusieurs spans reliés entre eux par des relations parent-enfant forment une trace.
Les synthetics APM sont mesurés en invocations. Qu’est-ce qu’une invocation synthétique ?
Une invocation synthétique correspond à l’exécution individuelle d’un test synthétique scripté avec Selenium. Les utilisateurs peuvent créer et téléverser leur propre test synthétique et définir un intervalle de sondage spécifique. Les tests synthétiques peuvent être exécutés simultanément depuis plusieurs emplacements et/ou navigateurs, ce qui génère des invocations supplémentaires.
Qu’est-ce qui est pris en compte dans le SKU Cloud PaaS ?
- Le SKU LM Cloud PaaS fait partie de la solution de surveillance cloud de LogicMonitor. LM Cloud offre une visibilité approfondie sur les charges de travail cloud grâce à la découverte automatique, la collecte de métriques préconfigurées, des seuils d’alerte prêts à l’emploi, des tableaux de bord intégrés, et d’autres fonctionnalités de plateforme adaptées aux entreprises comme le contrôle d’accès basé sur les rôles (RBAC), le routage des alertes, etc. Avec le SKU PaaS, vous bénéficiez des métriques des fournisseurs cloud avec tous ces avantages pour vos charges de travail PaaS, intégrées au reste de votre environnement surveillé dans LogicMonitor.
Les ressources Cloud PaaS incluent :
AWS
- ECS Cluster
- Lambda
- AppStream
- CloudSearch
- DocumentDB
- ElastiCache
- Glue
- MSK (Brokers)
- MQ
- OpenSearch (anciennement ElasticSearch)
- Redshift
- RDS
Azure
- App Service
- Analysis Services
- Data Factory
- HDInsight
- Function
- Serveur de base de données MariaDB
- Serveur de base de données MySQL
- Serveur MySQL Flexible
- Serveur de base de données PostgreSQL
- Serveur PostgreSQL Flexible
- Redis Cache
- Instances SQL managées
- Bureau virtuel
GCP
- App Engine
- Cloud Composer
- Cloud Dataflow
- Cloud Dataproc
- Cloud Function
- Cloud Redis
- Cloud Run
- Cloud SQL
Autres
- Pods Kubernetes
- Bases de données MongoDB Atlas
Qu’est-ce qui est pris en compte dans le SKU Cloud IaaS ?
Le SKU LM Cloud IaaS fait partie de la solution de surveillance cloud de LogicMonitor. LM Cloud offre une visibilité approfondie sur les charges de travail cloud grâce à la découverte automatique, la collecte de métriques préconfigurées, des seuils d’alerte prêts à l’emploi, des tableaux de bord intégrés, ainsi que d’autres fonctionnalités adaptées aux entreprises comme le RBAC (contrôle d’accès basé sur les rôles), le routage des alertes, etc. Le SKU IaaS inclut à la fois le collecteur cloud LM et le collecteur local LM, offrant une visibilité au-delà de ce que proposent les fournisseurs cloud — par exemple, des métriques au niveau du système d’exploitation et des applications.
Les ressources Cloud IaaS incluent toutes les machines virtuelles cloud prises en charge (AWS EC2, Azure VM, Azure ScaleSet VM, instances GCP Compute Engine), ainsi que toute ressource supplémentaire surveillée via un collecteur local LM. Pour chaque unité de SKU IaaS achetée, vous avez également le droit de surveiller 10 ressources cloud non liées au calcul.
Comment les clients peuvent-ils ajouter l’optimisation des coûts à leur environnement?
L’optimisation des coûts est proposée en complément de la surveillance LM Cloud et inclut à la fois les fonctionnalités de facturation cloud et de recommandations cloud. Elle est disponible au prix catalogue de 6 USD par licence de surveillance Cloud IaaS. Les clients doivent disposer d’au moins 200 licences de surveillance Cloud IaaS pour pouvoir en bénéficier.
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"LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs."
"LogicMonitor helps us succeed by being a true partner."
"LogicMonitor tells you what’s happening in the environment."
"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."
Inicia tu prueba
"LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs."
"LogicMonitor helps us succeed by being a true partner."
"LogicMonitor tells you what’s happening in the environment."
"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."
0
%
menos ruido de alertas
0
%
de reducción en el MTTR
0
+
Mas de integraciones
Hybrid Observability im Agentic-AI Zeitalter
Verhindern Sie Störungen, beheben Sie Probleme schneller und schützen Sie kritische Services mit der einheitlichen Observability-Plattform, die für vorausschauende, KI-gestützte IT-Operationen entwickelt wurde.
Führende Unternehmen vertrauen uns
Plattform
Die Plattform, die CIOs dabei hilft Ihre Digitale Transformation voranzutreiben
LogicMonitor Envision ermöglich end-to-end observability für das moderne Rechenzentrum
Infrastruktur-Monitoring
Gewähren Sie Ihrem Team Einblicke in Ihre stetig wachsende und dynamische IT-Landschaft.
Agentic AIOps mit Edwin AI
Warten Sie nicht, bis ein Ausfall eine Reaktion erfordert – antizipieren Sie, handeln Sie und passen Sie sich an, bevor Probleme eskalieren.
Cloud und Multi-Cloud
Maximieren Sie Ihre Investition in AWS, Azure und GCP mit Echtzeit-Einblicken in die Performance Ihrer Cloud-Umgebungen.
Protokollanalyse und Fehlerbehebung
Kombinieren und korrelieren Sie relevante Protokolle mit Leistungskennzahlen, Geräten, Ressourcen, Gruppen und Alarmen in einer einzigen Ansicht.
Observability-Lösungen zur Unterstützung des modernen Rechenzentrums und von ITOps
Komplexe IT-Umgebungen benötigen eine einheitliche Plattform
Edwin AI: AI-Agent für Incident-Management
Ermitteln Sie die GUrsache schneller – mit Eventkorrelation, optimierter Fehlerbehebung und Incident Management – alles in einer Plattform
MTTR um 60 % reduziert
Über 2 Stunden Zeiersparnis pro Vorfall
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Lösungen
Observability-Lösungen, zugeschnitten auf Branchen, Teams und Business-Outcome.
Entdecken Sie, wie LM Envision die Anforderungen Ihres Unternehmens erfüllt.
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Use-Case basierteObservability-Lösungen für die spezifischen Herausforderungen Ihrer Branche – von Finanzen über Gesundheitswesen, Einzelhandel, Fertigung und mehr.
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Stellen Sie jedem Team den Kontext zur Verfügung, den es benötigt, um Problemen einen Schritt voraus zu sein und eine optimale Performance sicherzustellen.
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Lösungen nach Business Mehrwert
Senken Sie Ihre Betriebskosten, erhöhen Sie die Verfügbarkeit und verkürzen Sie die MTTR mit KI-gestütztem Monitoring, die auf Ihre geschäftlichen Prioritäten abgestimmt ist.
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Starten Sie noch heute Ihre Reise mit LogicMonitor.
Unsere Experten sind für Sie da, egal, ob Sie KI-gestütztes Monitoring erkunden oder Ihre hybride Umgebung optimieren möchten.
Always on, always human
Award-winning Customer Success
With 24/7 all-in support from our highly-trained team and an active community of LogicMonitor customers who are just as dedicated to innovation as you are.
How does LogicMonitor lead the industry in customer success?
Simple. It starts with our people. We hate waiting for answers as much as the next person, so we’ve made it our mission to get the best results and cultivate the best relationships with every one of our fellow LMers. That’s why our retention and NPS for satisfaction are so high.
TRUSTED BY CUSTOMERS AND INDUSTRY LEADERS
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Recognized for excellence
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From Gartner Peer Insights and Customer Satisfaction leader on G2
Stay in control of your entire network
Rated “Excellent” and an “Editor’s Choice” by PCMag
Recover faster from every incident
The highest NetPromoter score of any IT Infrastructure Management provider
"LogicMonitor helps us succeed by being a true partner."
"Edwin AI will be 100x faster than a human and able to manage complex problems."
"LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs."
"Edwin AI cut noise by 90% & ITSM incidents by 76%, enabling better customer service."
"The single pane of glass across all of our regions enables us to act more proactively."
"Edwin AI delivered value within an hour of implementation."
"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."
Help that grows with you
Everything you need to go further, faster
We’ve got your back. LogicMonitor offers round-the-clock support from dedicated Customer Success Managers, weekly live trainings, and an active user community where you can get help from real practitioners. Plus, our sandbox and child account features let you test without risk, so you can move fast and deploy confidently.
Customer success features
- Dedicated Customer Success Managers
- 24X7 support means 24X7 support
- Sandbox and child accounts so you can test environments and deploy confidently.
Weekly live trainings
Get the most out of LogicMonitor with our weekly training sessions. Drop-in for a Q&A or attend a live training on topics like:
- Cloud best practices
- Alert routing and delivery
- Dashboard how-tos
- And so much more
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LogicMonitor’s active community enables users to ask questions of LMers and other users to get the guidance they need to grow. From querying to full tech stack evolutions and everything in between, LogicMonitor’s community is there to help.
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Less alert noiseNeed help now?
Join us at Elevate Community Conference where innovation, expertise, and connection come together to help accelerate your IT modernization with AI-powered insights.
What is Elevate?
Elevate Community Conference is LogicMonitor’s global gathering where IT leaders come together to share insights, learn from peers, and explore how organizations are tackling modern data center challenges in the AI era.
Elevate is free to attend. Space is limited and will fill up quickly so register early.
Highlights from Elevate Dallas
From inspiring keynotes to exciting product reveals and community connections, Elevate Dallas set the tone for what’s ahead in 2025. Catch the highlights below:
Vision for AI and Data Center Transformation powered by LogicMonitor
Presented by
Christina Kosmowski, CEO
Future of Product: The Roadmap and What to Expect from LogicMonitor in 2025
Presented by
Sarah Terry, VP, Product Management
Karthik Sj, General Manager, AI
Andrew Keating, VP, Product & Solutions Marketing
McKesson’s Observability Transformation with LogicMonitor
Presented by
Andrea Curry, Director, Observability & Scheduling, Mckesson
Why attend?
Gain strategic insights
Learn directly from LogicMonitor’s executive team as they share their vision for the future of observability and how organizations can thrive in the AI era.
Learn by doing
Participate in hands-on and technical breakout sessions, packed with real-world use cases and actionable strategies so you can get more out of your LogicMonitor platform.
Connect & collaborate
Build relationships with peers facing similar challenges and engage with experts who can help solve your toughest problems.
Did you miss Elevate 2024? Dive into the session replays
6 Reasons Why LogicMonitor is the Best Choice for Monitoring and Observability
AI that knows your data center
Visibility across your entire environment
A smarter alternative to other platforms
Build for scale and complexity
Customizable and integratable
More than support—a true partner
1. Our AI knows your modern data center, in and out.
In platform testing and real-world environments, Edwin AI consistently outperforms legacy AIOps and generic AI add-ons, especially when it comes to root cause accuracy, time-to-resolution, and contextual awareness.
Edwin is specifically trained in IT infrastructure and observability data. It correlates metrics, logs, and events to show you exactly what’s wrong, why it’s happening, and what to do next.
That means fewer war rooms, faster incident response, and smarter troubleshooting without relying on brittle rules or generic LLMs. Edwin delivers answers that are clear, actionable, and built for how real IT teams work.
“This was the first time we saw real value from AI in monitoring. Ticket volume dropped, and we gained new visibility across our environment.”
— Gartner Peer Insights Reviewer, July 2025
0
%
alert noise reduction
67
%
ITSM incident reduction
23
%
less incident workload
60
%
reduction in MTTR
2. You get visibility across cloud, on-prem, and everything in between.
Most monitoring tools are designed for a specific type of environment. Cloud-only. Or network-first. Or legacy-heavy. But your infrastructure doesn’t fit neatly in a box, and neither should your observability platform.
LM Envision gives you unified, correlated visibility across every part of your stack. Cloud, on-prem, hybrid, containers, SaaS apps, edge nodes—you name it. It’s all brought together in a single platform that understands how these pieces connect in the real world.
You don’t need multiple tools or stitched-together dashboards to see what’s going on. With our platform, you get one source of truth that sees everything, everywhere, all at once.
3. We outperform the rest (and here’s how)
You’ve got options. But most of them come with tradeoffs like modular pricing models, clunky UIs, endless setup cycles, or missing context when it matters most. LM Envision is different. We bring everything together in one platform that’s built for scale, powered by AI, and ready for your hybrid reality.
vs SolarWinds
SolarWinds adds time and toil. Configuration is complex, automation is limited, and scalability hits a wall fast. LM Envision delivers a complete view of your environment that’s deployed faster, maintained with less overhead, and trusted by teams around the world
Learn more
vs Datadog
Datadog piles on modular pricing and hidden complexity. You’ll need multiple agents, extra modules, and a pricing calculator just to get started. LM Envision gives you full-stack observability out of the box, with transparent pricing and faster time to value
Learn more
vs Dynatrace
Dynatrace works when it comes to app performance, but lacks depth in infrastructure, networking, and hybrid environments. LM Envision offers broader coverage, built-in OpenTelemetry support, and a platform that sees everything, not just your code.
Learn more
vs ScienceLogic
ScienceLogic requires months-long deployments, surprise service fees, and multiple FTEs just to keep it running. LM Envision customers get up and running in weeks—not quarters—and spend their time improving IT, not babysitting a monitoring tool
Learn more
vs PRTG
PRTG struggles to scale beyond 500 devices, lacks AI, and requires manual alert closing. Customers who switch to LM Envision reduce alert noise by up to 97%, streamline operations, and gain predictive insights powered by Edwin AI.
Learn more
vs Zenoss
Zenoss has dated architecture, limited cloud support, and an interface that slows teams down. LM Envision offers a modern, scalable platform that handles hybrid environments with ease and makes it easy to use, too
Learn more
4. Our platform is built to handle scale and complexity.
LM Envision isn’t just “enterprise-ready”—it’s already operating at global scale.
Our platform collects data from over 4.1 million monitored devices, with 1.5 trillion metrics processed daily through our infrastructure. We support 100,000+ users in 30 countries, monitoring everything from cloud-native stacks to legacy infrastructure and edge environments—all from a single platform that just works.
Whether you’re scaling from 500 to 50,000 devices or going all-in on hybrid cloud, LM Envision keeps pace without slowing you down. It’s a platform built to grow with whatever comes next.
4.1M
devices monitored
1.5T
metrics collected per day
100k+ users
in 30 countries5. You can customize everything and integrate with anything.
You shouldn’t have to redesign your environment just to make your monitoring work. With 3,000+ pre-built integrations (and counting), LM Envision fits into your existing ecosystem right out of the box and flexes to whatever comes next.
Connect cloud accounts, container orchestration tools, databases, SaaS apps, custom gear—you name it. Our open APIs, flexible dashboards, and log forwarding options make it easy to tailor the platform to your workflows, not the other way around.
6. We’re more than support—we’re a true partner to you and your teams.
Support isn’t a checkbox. It’s a relationship. And it’s one of the biggest reasons 100,000+ users across 30 countries trust LM Envision to keep their businesses online, optimized, and always evolving.
From day one, you get real humans who understand the modern data center. Our onboarding is fast. Our answers are useful. Our team doesn’t disappear after the contract’s signed. Whether you’re launching in a single data center or rolling out across global regions, we’re in it with you.
And because our platform is SaaS-native, our support teams don’t just respond to issues. We help prevent them. We spot patterns, flag risks, and make sure your setup grows smarter over time.
The result is a partnership that actually feels like one.
