14 migliori alternative a Netdata per il 2026
Shortlist alternative a Netdata
Una valida alternativa a Netdata offre monitoraggio applicativo in tempo reale, integrazioni flessibili e visualizzazioni chiare per ambienti complessi. Se stai cercando alternative a Netdata, probabilmente hai bisogno di un sistema di monitoraggio scalabile che supporti le pratiche di osservabilità moderne e possa crescere insieme alla tua infrastruttura. Molti team cercano piattaforme all-in-one che offrano monitoraggio completo, funzionalità avanzate e integrazioni senza soluzione di continuità, mantenendo i costi contenuti e la facilità di implementazione. Questo elenco confronta le principali soluzioni per il 2026, aiutandoti a valutare funzionalità, facilità d’uso e capacità di monitoraggio per scegliere una soluzione intuitiva adatta all’infrastruttura e alle esigenze operative del tuo team.
Che cos’è Netdata?
Netdata è uno strumento di monitoraggio applicativo open source che fornisce informazioni in tempo reale sulle prestazioni di sistema, sull’utilizzo delle risorse e sulla salute delle applicazioni. Raccoglie metriche da server, container e applicazioni, mostrando i dati tramite dashboard interattivi. Netdata è utilizzato da specialisti IT e team operativi per individuare anomalie, risolvere problemi e mantenere un’infrastruttura affidabile. Il suo design leggero e le numerose integrazioni lo rendono adatto al monitoraggio sia di ambienti moderni che legacy.
Riepilogo migliori alternative a Netdata
Questa tabella comparativa riepiloga i dettagli sui prezzi delle migliori alternative a Netdata selezionate, così puoi trovare quella più adatta al tuo budget e alle tue esigenze aziendali.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for frontend and backend correlation | 14-day free trial + free demo available | From $49/host/month (billed annually) | Website | |
| 2 | Best for enterprise-scale transaction monitoring | Free trial available | Pricing upon request | Website | |
| 3 | Best with real-time distributed tracing | Free plan available | From $49/user/month | Website | |
| 4 | Best with open-source data integrations | 7-day free trial + free plan available | From $99/month | Website | |
| 5 | Best for time-series metric collection | Free to use | No licensing cost | Website | |
| 6 | Best for advanced dashboard visualizations | Free plan available | From $19/month | Website | |
| 7 | Best for native AWS resource monitoring | Free trial available | Pricing upon request | Website | |
| 8 | Best for hybrid environment support | 30-day free trial available | From $7/node/month | Website | |
| 9 | Best for AI-powered anomaly detection | Free demo + 15-day free trial available | From $7/host/month | Website | |
| 10 | Best for error tracking in code deployments | Free plan + free trial + free demo available | From $26/month (billed annually) | Website |
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Recensioni alternative a Netdata
Qui sotto trovi le mie sintesi approfondite delle migliori alternative a Netdata che sono entrate nella mia shortlist. Le recensioni offrono una panoramica dettagliata delle funzionalità, delle integrazioni e dei casi d’uso ideali di ciascuna piattaforma di monitoraggio, per aiutarti a trovare quella più adatta a te.
If you need to trace issues across both frontend and backend systems, Atatus is built for that level of visibility. This tool appeals to IT teams and developers who want to correlate user experience problems with backend performance data in real time. Unlike Netdata, Atatus connects browser, API, and server monitoring so you can pinpoint exactly where problems start and how they impact users.
Why Atatus Is a Good Netdata Alternative
Unlike Netdata, Atatus gives you a unified view of both frontend and backend performance, making it easier to trace issues across the entire stack. You can monitor browser errors, API calls, and server metrics in one place, which helps teams quickly connect user experience problems to backend causes. I appreciate how Atatus visualizes the full transaction path, so you can see exactly where bottlenecks or failures occur. This level of correlation is especially useful for IT teams and developers who need to resolve complex, cross-system incidents.
Atatus Key Features
Some other features in Atatus help teams cover a broad range of monitoring and troubleshooting needs:
- Real User Monitoring (RUM): Tracks actual user sessions and performance metrics from browsers.
- Log Management: Collects, searches, and analyzes logs from multiple sources in a unified dashboard.
- Custom Dashboards: Lets you build personalized views with widgets for metrics that matter most to your team.
- Alerting and Notifications: Sends alerts via channels like Slack, PagerDuty, and email when thresholds are breached.
Atatus Integrations
Integrations include Slack, Jira, Asana, PagerDuty, OpsGenie, VictorOps, BigPanda, Flowdock, HipChat, Campfire, and more.
Pros and Cons
Pros:
- Custom dashboards for team-specific metrics
- Supports alerting to multiple incident tools
- Built-in log management and search
Cons:
- Lacks open-source community plugins
- No on-premises deployment option
For organizations that need deep visibility into business-critical transactions, AppDynamics delivers enterprise-scale monitoring and analytics. It’s a strong fit for IT teams in large enterprises that need to trace complex, distributed transactions across multiple services. Unlike Netdata, AppDynamics provides end-to-end transaction tracing and business impact analysis to help teams quickly pinpoint and resolve performance bottlenecks.
Why AppDynamics Is a Good Netdata Alternative
AppDynamics is purpose-built for monitoring complex, enterprise-scale transactions that span multiple applications and services. Its transaction tracing feature lets you follow every step of a business process, from user interaction to backend systems, which is something Netdata doesn’t offer at this depth. I appreciate how AppDynamics correlates application performance with business metrics, so IT teams can prioritize issues that impact revenue or customer experience. This makes it a strong choice for organizations that need to connect technical monitoring with business outcomes.
AppDynamics Key Features
Some other features in AppDynamics help teams manage and optimize their environments:
- Dynamic Baseline Alerting: Automatically establishes performance baselines and triggers alerts when metrics deviate from normal patterns.
- Code-Level Diagnostics: Provides detailed insights into code execution to help identify slow methods and problematic database calls.
- Custom Dashboards: Lets users build tailored visualizations for specific teams, applications, or business units.
- Cloud-Native Monitoring: Supports monitoring for Kubernetes, AWS, Azure, and other cloud platforms.
AppDynamics Integrations
Integrations include Splunk Platform, Splunk Observability Cloud, Splunk IT Service Intelligence, ThousandEyes, SAP Solutions, Log Observer Connect, and more.
Pros and Cons
Pros:
- Dynamic baselining for anomaly detection
- Code-level diagnostics for application issues
- Business impact correlation for incidents
Cons:
- Custom metric retention is restricted by plan
- Limited support for open-source exporters
If you need deep, real-time visibility into distributed applications, New Relic is built for that challenge. It’s a strong fit for IT teams and site reliability engineers who want to trace requests across microservices and cloud-native environments. Unlike Netdata, New Relic specializes in end-to-end distributed tracing and granular transaction analysis for complex, modern stacks.
Why New Relic Is a Good Netdata Alternative
For teams that need to follow every request in real time across distributed systems, New Relic offers a level of tracing that Netdata doesn’t match. Its distributed tracing feature lets you visualize and analyze transactions as they move through microservices, APIs, and serverless functions. I appreciate how New Relic’s trace data links directly to logs and metrics, making it easier to pinpoint the root cause of performance issues. This focus on real-time, end-to-end visibility is especially valuable for modern, cloud-native environments.
New Relic Key Features
Some other features in New Relic help round out its monitoring capabilities:
- Infrastructure Monitoring: Track the health and performance of servers, containers, and cloud resources in real time.
- Synthetics Monitoring: Run automated, simulated user tests to monitor application uptime and endpoint responsiveness.
- Custom Dashboards: Build and share visualizations using a wide range of metrics and data sources.
- Alerting and Incident Management: Set up flexible alert policies and integrate with incident response tools to manage issues as they arise.
New Relic Integrations
Integrations include AWS, Azure, Google Cloud, Kubernetes, Docker, Jenkins, PagerDuty, Slack, ServiceNow, Prometheus, and more.
Pros and Cons
Pros:
- Automated synthetic monitoring for API endpoints
- Granular transaction analysis for cloud-native apps
- Real-time distributed tracing across microservices
Cons:
- High cardinality metrics can increase costs
- Data retention limits on lower-tier plans
For teams that want to unify application monitoring with open-source data sources, Elastic Observability offers a flexible approach. This tool is a strong fit for IT specialists and DevOps teams who need to ingest, analyze, and correlate data from a wide range of open-source and custom sources. Unlike Netdata, Elastic Observability integrates deeply with the Elastic Stack, making it easier to combine logs, metrics, and traces from diverse environments.
Why Elastic Observability Is a Good Netdata Alternative
If you need to bring together data from open-source tools and custom sources, Elastic Observability stands out for its flexibility. I picked Elastic Observability because it lets you ingest and correlate logs, metrics, and traces from nearly any source using the Elastic Stack. You can use open-source agents and integrations to monitor everything from cloud-native apps to legacy systems. This approach is especially useful for IT teams who want to build a unified observability platform tailored to their environment.
Elastic Observability Key Features
Some other features in Elastic Observability help teams manage and analyze application performance at scale:
- Distributed Tracing: Visualizes end-to-end request flows across microservices and infrastructure.
- Service Maps: Automatically generate interactive maps of service dependencies and health.
- Anomaly Detection: Uses machine learning to identify unusual patterns in application performance.
- Custom Dashboards: Lets you build and share dashboards tailored to your team’s monitoring needs.
Elastic Observability APM Integrations
Integrations include Amazon CloudWatch, Azure Monitor, Google Cloud, Kubernetes, Prometheus, Jaeger, OpenTelemetry, PagerDuty, ServiceNow, Slack, and more.
Pros and Cons
Pros:
- Built-in machine learning for anomaly detection
- Offers distributed tracing for microservices
- Supports open-source agent and data ingestion
Cons:
- Steeper resource usage than lightweight agents
- Requires separate infrastructure for self-hosting
Prometheus is purpose-built for teams that need to collect and query time-series metrics at scale. It’s especially popular with IT specialists and SREs who want a flexible, open-source solution for monitoring infrastructure and applications. Unlike Netdata, Prometheus offers a powerful query language and native support for multidimensional data, making it a strong choice for environments with complex metric requirements.
Why Prometheus Is a Good Netdata Alternative
For teams focused on collecting and analyzing time-series metrics, Prometheus offers a specialized approach that sets it apart from Netdata. I picked Prometheus because it uses a pull-based model for scraping metrics, which gives you fine-grained control over what data you collect and when. Its PromQL query language lets you slice, aggregate, and visualize metrics with a high degree of flexibility. This makes Prometheus especially useful for IT specialists who need to monitor complex, dynamic environments and want to build custom dashboards or alerting rules.
Prometheus Key Features
Some other features in Prometheus help teams manage and extend their monitoring setup:
- Alertmanager Integration: Routes alerts based on custom rules and supports silencing and inhibition.
- Service Discovery: Automatically detects targets in dynamic environments like Kubernetes or cloud platforms.
- Data Retention Configuration: Lets you control how long metrics are stored locally.
- Exporter Ecosystem: Offers a wide range of exporters for collecting metrics from third-party systems and services.
Prometheus Integrations
Integrations include Kubernetes, Docker, Grafana, Alertmanager, Etcd, Consul, RabbitMQ, MySQL, Apache, HAProxy, and more.
Pros and Cons
Pros:
- Large exporter ecosystem for third-party systems
- Pull-based model supports dynamic environments
- PromQL enables advanced metric querying
Cons:
- Requires external tools for dashboarding
- Lacks real-time, per-second visualization
Grafana Cloud stands out for teams that need advanced, customizable dashboard visualizations across multiple data sources. It’s a strong fit for IT specialists, DevOps engineers, and analysts who want to unify metrics, logs, and traces in one place. Unlike Netdata, Grafana Cloud lets you build highly tailored dashboards that pull from a wide range of monitoring and observability tools.
Why Grafana Cloud Is a Good Netdata Alternative
If you need advanced dashboard visualizations that go beyond what Netdata offers, Grafana Cloud is a strong choice. I picked Grafana Cloud because it lets you create highly customizable dashboards that combine data from multiple sources, including metrics, logs, and traces. Its panel editor supports a wide range of visualization types, from time-series graphs to heatmaps and geomaps. This flexibility helps IT teams and engineers build monitoring views that match their unique infrastructure and application needs.
Grafana Cloud Key Features
Some other features in Grafana Cloud help teams extend their monitoring and visualization capabilities:
- Alerting Engine: Supports multi-channel notifications and custom alert rules.
- User Access Controls: Lets you manage permissions and roles for different team members.
- Plugin Marketplace: Offers a wide range of plugins for data sources and visualizations.
- Snapshot Sharing: Allows you to share dashboard states with others for collaboration or troubleshooting.
Grafana Cloud Integrations
Integrations include Prometheus, Loki, Tempo, Mimir, Graphite, InfluxDB, Elasticsearch, MySQL, AWS CloudWatch, Zabbix, and more.
Pros and Cons
Pros:
- Integrates natively with major cloud monitoring tools
- Enables sharing dashboards with snapshot links
- Provides extensive plugin marketplace for extensions
Cons:
- Limited historical data retention without paid plans
- No built-in process or system-level monitoring
AWS CloudWatch is purpose-built for teams running workloads on AWS who need deep, native visibility into their cloud resources. It’s especially useful for IT specialists and cloud engineers who want to monitor, log, and automate responses across EC2, Lambda, RDS, and other AWS services. Unlike Netdata, CloudWatch offers direct integration with AWS infrastructure, making it easier to track resource health and performance without extra configuration.
Why AWS CloudWatch Is a Good Netdata Alternative
For teams managing AWS infrastructure, CloudWatch offers native monitoring that’s tightly integrated with AWS services. I picked CloudWatch because it automatically collects metrics and logs from EC2, Lambda, RDS, and other AWS resources without extra setup. Its unified dashboard lets you visualize resource health, set up alarms, and automate actions based on real-time data. This direct connection to AWS services makes CloudWatch a strong alternative to Netdata for cloud-focused environments.
AWS CloudWatch Key Features
Some other features in AWS CloudWatch help teams manage and analyze their AWS environments more thoroughly:
- Custom Metrics: Lets you publish and monitor your own application or business metrics alongside AWS resource data.
- Log Insights: Provides a query engine for searching and analyzing log data in real time.
- Anomaly Detection: Uses machine learning to automatically detect unusual metric patterns.
- Dashboard Sharing: Allows you to share interactive dashboards with other AWS users or teams.
AWS CloudWatch Integrations
Integrations include Amazon EC2, Amazon RDS, AWS Lambda, Amazon S3, Amazon ECS, Amazon EKS, Amazon DynamoDB, Amazon SNS, Amazon SQS, Amazon Kinesis, and more.
Pros and Cons
Pros:
- Supports anomaly detection using machine learning
- Automated metric and log collection for AWS resources
- Native integration with all AWS services
Cons:
- Custom metrics can increase monthly costs
- Limited visibility into non-AWS infrastructure
IT teams managing both on-premises and cloud infrastructure will find SolarWinds Observability SaaS designed for hybrid environment visibility. The platform appeals to organizations that need unified monitoring across servers, containers, and cloud services without juggling multiple tools. Unlike Netdata, AppOptics offers integrated infrastructure and application monitoring with support for distributed tracing in mixed environments.
Why SolarWinds Observability SaaS Is a Good Netdata Alternative
For organizations running both cloud and on-premises systems, SolarWinds Observability SaaS stands out for its hybrid environment support. The tool provides unified monitoring for servers, containers, and cloud-native services, which is something Netdata doesn’t handle natively across mixed environments. I like that AppOptics includes distributed tracing and infrastructure monitoring in a single platform, making it easier to track performance across your entire stack. This approach helps IT teams maintain visibility and troubleshoot issues no matter where their workloads run.
SolarWinds Observability SaaS Key Features
Some other features in AppOptics help teams get more from their monitoring setup:
- Custom Metrics Support: Collects and visualizes custom application and business metrics alongside standard telemetry.
- Pre-Built Integrations Library: Offers a wide range of out-of-the-box integrations for popular databases, web servers, and messaging systems.
- Live Code Profiling: Provides real-time code-level insights to help identify performance bottlenecks in production.
- Alerting and Notification Rules: Lets users set up flexible alerting policies and route notifications to email, Slack, or other channels.
SolarWinds Observability SaaS Integrations
Integrations include AWS, Azure, Cisco, Slack, Java, MySQL, MongoDB, PostgreSQL, Amazon Aurora, Redis, and more.
Pros and Cons
Pros:
- Provides customizable dashboards and visualizations
- Includes pre-built integrations for major databases
- Offers live code profiling for applications
Cons:
- Lacks built-in log management features
- No on-premises-only deployment option
When you need automated anomaly detection at scale, Dynatrace brings AI-powered insights to application monitoring. It’s especially useful for IT operations teams and enterprises managing complex, dynamic environments. Unlike Netdata, Dynatrace uses its Davis AI engine to automatically surface root causes and reduce alert fatigue in large, distributed systems. The platform also offers a flexible pricing model that scales based on usage and monitoring requirements.
Why Dynatrace Is a Good Netdata Alternative
If you’re looking for application monitoring that goes beyond basic metrics, Dynatrace’s AI-powered anomaly detection stands out. Its Davis AI engine continuously analyzes telemetry data to identify unusual patterns and surface root causes without manual intervention. I like that Dynatrace automatically correlates events across infrastructure, applications, and user experience, which helps teams respond faster to incidents. This level of automated insight is especially valuable for organizations managing large, dynamic, or cloud-native environments.
Dynatrace Key Features
Some other features in Dynatrace help teams manage complex environments:
- Full-Stack Monitoring: Monitor infrastructure, applications, and user experience from a single platform.
- Smartscape Topology Mapping: Visualize dependencies and relationships across services, hosts, and processes in real time.
- Synthetic Monitoring: Simulate user interactions to test application availability and performance.
- Log Analytics: Search, filter, and analyze log data alongside metrics and traces.
Dynatrace Integrations
Integrations include AWS, Azure, Google Cloud, Kubernetes, ServiceNow, PagerDuty, Slack, Jenkins, Prometheus, GitHub, and more.
Pros and Cons
Pros:
- Unified monitoring for cloud and on-premises systems
- Real-time dependency mapping across environments
- AI-driven root cause analysis for incidents
Cons:
- Alerting can be noisy without fine-tuning
- High resource usage on monitored hosts
Developers and engineering teams looking for deep error visibility in their code deployments often turn to Sentry. The platform specializes in real-time error tracking and performance monitoring for applications across multiple languages and frameworks. Unlike Netdata, Sentry pinpoints code-level issues and releases regressions, helping teams resolve bugs before they impact users.
Why Sentry Is a Good Netdata Alternative
If your main concern is catching and resolving errors in code deployments, Sentry offers a focused solution that Netdata doesn’t address. Sentry tracks exceptions and performance issues at the code level, giving you detailed stack traces and release tracking for pinpointing the root cause of failures. I appreciate how Sentry highlights new errors introduced by recent releases, so you can quickly identify regressions. This makes it a strong choice for teams that need to monitor application health from a developer’s perspective.
Sentry Key Features
Some other features in Sentry help teams get more out of their monitoring workflows:
- Performance Monitoring: Tracks transaction times and application latency to help identify slowdowns.
- User Impact Analysis: Shows which users are affected by specific errors or performance issues.
- Release Health Tracking: Monitors adoption, crash-free sessions, and stability for each release.
- Third-Party Integrations: Connects with tools like GitHub, Jira, and Slack for streamlined issue management.
Sentry Integrations
Integrations include GitHub, Slack, Jira, GitLab, Azure DevOps, Vercel, Bitbucket, PagerDuty, Microsoft Teams, Datadog, and more.
Pros and Cons
Pros:
- Provides release health metrics for deployments
- Offers real-time alerts for new issues
- Tracks errors down to specific code commits
Cons:
- Requires SDK integration for each application
- Retention for event data is plan-dependent
New Product Updates from Sentry
Sentry Snapshots Enters Open Beta for CI Screenshot Diffing
Sentry Snapshots is now in Open Beta, bringing CI screenshot diffing to help teams catch unintended visual changes across any frontend platform. For more information, visit Sentry's official site.
.Altre alternative a Netdata
Ecco alcune altre alternative a Netdata che non sono rientrate nella mia shortlist, ma che vale comunque la pena prendere in considerazione:
- Datadog
For multi-cloud infrastructure visibility
- ManageEngine Applications Manager
For customizable alerting workflows
- Instana
For automatic root cause analysis
- Riverbed
For network performance insights
Criteri di selezione delle alternative a Netdata
Per selezionare le migliori alternative a Netdata da includere in questo elenco, ho considerato le esigenze e le principali difficoltà riscontrate da chi acquista strumenti di monitoraggio applicativo, come il monitoraggio di ambienti cloud distribuiti e la riduzione degli allarmi inutili. Per mantenere la valutazione strutturata ed equa, ho seguito il framework seguente:
Funzionalità principali (25% del punteggio totale)
Per essere inserita in questo elenco, ogni soluzione doveva soddisfare questi casi d’uso comuni:
- Monitorare lo stato di salute di applicazioni e infrastrutture
- Raccogliere e visualizzare metriche in tempo reale
- Generare e gestire allarmi
- Archiviare e ricercare dati di log
- Supportare integrazioni con piattaforme popolari
Funzionalità aggiuntive distintive (25% del punteggio totale)
Per restringere ulteriormente la selezione, ho valutato anche funzionalità uniche come:
- Analisi automatizzata delle cause dei problemi
- Rilevamento delle anomalie basato su AI
- Funzionalità di tracing distribuito
- Creazione di metriche e dashboard personalizzati
- Workflow integrati per la gestione degli incidenti
Usabilità (10% del punteggio totale)
Per valutare il livello di usabilità di ogni sistema, ho considerato i seguenti aspetti:
- Dashboard semplice e intuitivo per la navigazione
- Opzioni di visualizzazione dati chiare
- Processo logico di configurazione degli avvisi
- Interfaccia reattiva e accessibile
- Passaggi di configurazione minimi per le funzionalità principali
Onboarding (10% del punteggio totale)
Per valutare l’esperienza di onboarding di ciascuna piattaforma, ho considerato i seguenti aspetti:
- Disponibilità di guide di configurazione passo-passo
- Accesso a video formativi e documentazione
- Tour o walkthrough del prodotto interattivi
- Template predefiniti per i casi d’uso più comuni
- Supporto alla migrazione dei dati da altri strumenti
Assistenza clienti (10% del punteggio totale)
Per valutare i servizi di assistenza clienti di ciascun fornitore software, ho considerato quanto segue:
- Molteplici canali di supporto tra cui chat ed email
- Tempi di risposta rapidi per problemi tecnici
- Accesso a una knowledge base o centro assistenza
- Disponibilità di forum o gruppi di utenti della community
- Opzione per la gestione dedicata dell’account
Rapporto qualità-prezzo (10% del punteggio totale)
Per valutare il rapporto qualità-prezzo di ciascuna piattaforma, ho preso in considerazione i seguenti aspetti:
- Struttura dei prezzi trasparente e prevedibile
- Piani flessibili per diversi team
- Funzionalità incluse nei piani base
- Costo dello scaling con dati o utenti aggiuntivi
- Disponibilità di prova gratuita o piano gratuito
Recensioni dei clienti (10% del punteggio totale)
Per avere un’idea della soddisfazione generale dei clienti, ho preso in esame i seguenti punti leggendo le recensioni:
- Coerenza dei feedback positivi tra le piattaforme
- Segnalazioni di affidabilità e uptime
- Feedback su supporto e onboarding
- Commenti degli utenti sull’utilità delle funzionalità
- Frequenza degli aggiornamenti e dei miglioramenti
Perché Cercare un’Alternativa a Netdata?
Anche se Netdata è una buona scelta come strumento di monitoraggio applicativo, ci sono diversi motivi per cui alcuni utenti cercano soluzioni alternative. Potresti essere alla ricerca di un’alternativa a Netdata perché…
- Hai bisogno di una maggiore integrazione con AWS o altre piattaforme cloud
- Desideri il supporto nativo per il tracing distribuito
- Richiedi il rilevamento avanzato delle anomalie tramite l’IA
- Necessiti di monitoraggio centralizzato su ambienti ibridi o multi-cloud
- Vuoi una conservazione dei log più lunga senza configurazioni aggiuntive
- Hai bisogno di funzionalità aziendali per controllo degli accessi e conformità
Se ti riconosci in questi casi, sei nel posto giusto. Il mio elenco contiene diverse opzioni di strumenti di monitoraggio delle applicazioni, più adatte ai team che affrontano queste sfide con Netdata e cercano soluzioni alternative.
Funzionalità Principali di Netdata
Ecco alcune delle funzionalità principali di Netdata, per aiutarti a confrontare cosa offrono le soluzioni alternative:
- Monitoraggio in tempo reale di metriche di sistema e applicazione
- Dashboard interattivi con visualizzazioni personalizzabili
- Rilevamento automatico di centinaia di metriche e servizi
- Agente leggero per un consumo minimo di risorse
- Monitoraggio della salute con allarmi preconfigurati
- Streaming e archiviazione a lungo termine delle metriche
- Raccolta di dati distribuita da più nodi
- Accesso API per integrazioni personalizzate
- Granularità al secondo per dati ad alta risoluzione
- Architettura open source con supporto attivo della community