Le 10 migliori alternative a New Relic nel 2026
Shortlist delle alternative a New Relic
Le migliori alternative all-in-one a New Relic combinano monitoraggio approfondito delle prestazioni applicative, osservabilità flessibile e integrazioni che si adattano ai flussi di lavoro del tuo team. Se stai cercando alternative a New Relic, probabilmente hai bisogno di strumenti affidabili per monitorare lo stato delle applicazioni, diagnosticare problemi e supportare ambienti complessi senza lacune di visibilità o dipendenza dal fornitore.
Questa lista ti aiuterà a confrontare i principali strumenti di monitoraggio, a comprenderne i punti di forza unici e a scegliere una piattaforma che corrisponda ai tuoi requisiti tecnici e obiettivi aziendali.
Cos’è New Relic?
New Relic è una piattaforma di monitoraggio delle prestazioni applicative e osservabilità utilizzata per tracciare, analizzare e ottimizzare le prestazioni software in ambienti cloud e on-premise. Fornisce informazioni in tempo reale sulla salute delle applicazioni, sull’infrastruttura e sull’esperienza utente. I team utilizzano New Relic per rilevare problemi, monitorare sistemi distribuiti e migliorare l’affidabilità raccogliendo e visualizzando metriche, tracce e log dal proprio stack tecnologico.
Riepilogo delle migliori alternative a New Relic
Questa tabella comparativa riassume i dettagli dei prezzi delle mie migliori scelte di alternative a New Relic per aiutarti a trovare quella più adatta al tuo budget e alle tue esigenze di business.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for unified log and metric analysis | 7-day free trial + free plan available | From $99/month | Website | |
| 2 | Best for high-cardinality event debugging | Free plan available | From $130/month | Website | |
| 3 | Best for automated application discovery | Free demo available | From $21.20/MVS/month | Website | |
| 4 | Best with AWS ecosystem integration | Free plan available | Pricing upon request | Website | |
| 5 | Best for Microsoft Azure workloads | Free demo available | Pricing upon request | Website | |
| 6 | Best for business transaction monitoring | 15-day free trial available | From $6/CPU core/month (billed annually) | Website | |
| 7 | Best for real-time error tracking | Free plan + free trial + free demo available | From $26/month (billed annually) | Website | |
| 8 | Best with AI-powered root cause analysis | Free demo + 15-day free trial available | From $7/host/month | Website | |
| 9 | Best for cloud-native infrastructure visibility | 14-day free trial available | From $15/host/month (billed annually) | Website | |
| 10 | Best for monitoring hybrid IT environments | 30-day free trial + free demo + free plan availabl | From $199/year | Website |
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Recensioni delle alternative a New Relic
Di seguito trovi i miei riassunti dettagliati delle migliori alternative a New Relic che sono entrate nella mia shortlist. Le mie recensioni offrono uno sguardo approfondito su funzionalità, integrazioni e i migliori casi d’uso di ciascuna piattaforma per aiutarti a trovare la più adatta a te.
Elastic Observability, built on Elasticsearch, brings together logs, metrics, and traces in a single platform for unified analysis. This solution is a strong fit for engineering teams and IT operations that need to correlate data across complex, distributed environments. Unlike many New Relic alternatives, Elastic Observability emphasizes flexible search, AI-driven anomaly detection, and customizable dashboards for deep troubleshooting.
Why Elastic Observability Is a Good New Relic Alternative
What sets Elastic Observability apart is its unified approach to log and metric analysis across your entire stack. I appreciate how you can ingest, search, and correlate logs, metrics, and traces from multiple sources in one place. The platform’s AI-driven anomaly detection and customizable visualizations help teams quickly pinpoint and investigate issues. For organizations that need deep, flexible observability across distributed systems, Elastic Observability offers a compelling alternative to New Relic.
Elastic Observability Key Features
Some other features that make Elastic Observability stand out include:
- Uptime monitoring: Tracks service availability and response times across endpoints.
- Service map visualization: Displays relationships and dependencies between services in your environment.
- Prebuilt integrations: Connects natively with AWS, Azure, Google Cloud, Kubernetes, and more.
- Role-based access control: Manages user permissions and data access within the platform.
Elastic Observability Integrations
Integrations include AWS, Azure, Google Cloud, Kubernetes, Docker, Kafka, MongoDB, PostgreSQL, Microsoft SQL Server, and Slack.
Pros and Cons
Pros:
- Customizable dashboards and visualizations
- AI-driven anomaly detection for observability data
- Unified search across logs, metrics, and traces
Cons:
- Limited out-of-the-box business metric templates
- No built-in application profiling tools
For teams that need to debug complex, high-cardinality events, Honeycomb offers a unique approach to observability. This platform is especially useful for engineers and SREs working in distributed systems where pinpointing outliers and hidden patterns is critical. Unlike many New Relic alternatives, Honeycomb excels at interactive querying and visual exploration of event data at scale.
Why Honeycomb Is a Good New Relic Alternative
Honeycomb stands out for its ability to handle high-cardinality event debugging, which is essential for teams managing complex, distributed systems. I like that you can run interactive queries on billions of events and instantly visualize patterns that would be hard to spot with traditional APM tools. Its BubbleUp feature lets you isolate outliers and anomalies within massive datasets in seconds. For organizations that need to investigate granular event data and uncover hidden issues, Honeycomb offers a level of observability that many New Relic alternatives can’t match.
Honeycomb Key Features
In addition to its event debugging strengths, Honeycomb offers several other features worth noting:
- Service Map: Visualizes relationships and dependencies between services in your environment.
- SLO tracking: Monitors and manages service level objectives directly within the platform.
- Distributed tracing: Captures and displays traces across microservices for end-to-end visibility.
- Team collaboration tools: Enables shared queries, boards, and comments for collaborative troubleshooting.
Honeycomb Integrations
Integrations include AWS Lambda, Slack, Terraform, MySQL, Prometheus, ServiceNow, AWS CloudWatch, and more.
Pros and Cons
Pros:
- Real-time querying on large event datasets
- BubbleUp feature pinpoints anomalies visually
- Handles high-cardinality data without performance loss
Cons:
- Requires instrumentation for full observability
- Limited support for legacy application environments
IBM Instana stands out for its automated application discovery and real-time observability. It’s a strong fit for enterprises and DevOps teams managing complex, dynamic environments where manual instrumentation is a challenge. Instana’s continuous, automated mapping of services and dependencies helps teams quickly pinpoint issues that other New Relic alternatives might miss.
Why IBM Instana Is a Good New Relic Alternative
Unlike many observability platforms, IBM Instana automatically discovers and maps every component in your application environment. I picked Instana because its automated application discovery means you don’t have to manually configure or update monitoring as your architecture evolves. Instana continuously detects new services, dependencies, and changes in real time, which is especially valuable for dynamic microservices and containerized workloads. This level of automation helps teams maintain visibility and quickly identify root causes, making it a strong alternative to New Relic for complex environments.
IBM Instana Key Features
In addition to automated discovery and mapping, I also found these features valuable:
- Unbounded analytics: Enables users to query and analyze all collected metrics, traces, and logs without sampling.
- Contextualized alerting: Delivers alerts based on real-time context and dependencies within your environment.
- End-user monitoring: Tracks user experience and performance from the browser or mobile device through backend services.
- One-second granularity: Captures and displays performance data at one-second intervals for detailed troubleshooting.
IBM Instana Integrations
Integrations include AWS EC2, IBM Cloud, Google Cloud Platform, Microsoft Azure, Red Hat OpenShift, VMware Tanzu, MongoDB, Apache Kafka, PagerDuty, and more.
Pros and Cons
Pros:
- Supports containerized and cloud-native apps
- One-second data granularity for real-time insights
- Automated discovery of microservices and dependencies
Cons:
- High resource usage for on-premises agents
- Limited customization for visualizations
If your team relies heavily on AWS services, Amazon CloudWatch offers monitoring and observability built directly into the AWS ecosystem. It’s a strong fit for cloud architects, DevOps teams, and enterprises running workloads on AWS who want native integration with their infrastructure and services. CloudWatch stands out from other New Relic alternatives by providing easy access to AWS resource metrics, logs, and alarms without extra configuration.
Why Amazon CloudWatch Is a Good New Relic Alternative
For teams operating within the AWS ecosystem, Amazon CloudWatch delivers monitoring that’s tightly integrated with AWS services. I picked CloudWatch because it automatically collects and visualizes metrics from nearly every AWS resource, including EC2, Lambda, and RDS, without extra setup. Its native log aggregation and alarm features let you detect and respond to issues across your AWS environment in real time. If you want observability that’s purpose-built for AWS workloads, CloudWatch is a practical alternative to New Relic.
Amazon CloudWatch Key Features
Some other features that caught my attention include:
- Custom dashboards: Build visualizations that combine metrics, logs, and alarms in a single view.
- Anomaly detection: Automatically identifies unusual patterns in metric data using machine learning.
- CloudWatch Synthetics: Simulates user interactions to monitor application endpoints and APIs.
- Cross-account observability: Aggregate and analyze telemetry data from multiple AWS accounts in one place.
Amazon CloudWatch Integrations
Integrations include Amazon EC2, Amazon RDS, Amazon S3, Amazon ECS, Amazon EKS, AWS Lambda, and more.
Pros and Cons
Pros:
- Built-in synthetic monitoring for API endpoints
- Granular metric collection for AWS resources
- Direct integration with all AWS native services
Cons:
- Time-consuming alerting configuration
- Limited visibility into non-AWS environments
Azure Monitor is purpose-built for organizations running critical workloads on Microsoft Azure. It’s a strong choice for IT teams, cloud engineers, and enterprises that want deep, native observability across Azure resources and services. Unlike other New Relic alternatives, Azure Monitor offers unified telemetry, diagnostics, and alerting that are tightly integrated with the Azure platform.
Why Azure Monitor Is a Good New Relic Alternative
When your infrastructure is built on Microsoft Azure, Azure Monitor offers observability that’s deeply embedded in the platform. I picked Azure Monitor because it collects telemetry from every Azure service, providing unified metrics, logs, and traces without extra configuration. Its Application Insights feature delivers end-to-end monitoring for distributed applications, making it easier to diagnose issues across cloud-native workloads. For teams invested in Azure, this level of integration and visibility sets Azure Monitor apart from other New Relic alternatives.
Azure Monitor Key Features
Some other features worth highlighting include:
- Log Analytics workspace: Centralizes and queries log data from multiple Azure resources.
- Smart alerts: Uses dynamic thresholds and machine learning to reduce false positives.
- Network monitoring: Tracks connectivity, latency, and packet loss across Azure networks.
- Workbooks: Lets you build interactive reports and dashboards for custom visualizations.
Azure Monitor Integrations
Integrations include Azure Kubernetes Service, Azure Arc, Azure Cosmos DB, Azure SQL, Azure Data Factory, Azure Functions, and more.
Pros and Cons
Pros:
- Centralized log analytics across Azure resources
- Built-in support for Azure Kubernetes Service
- Deep integration with Microsoft Azure services
Cons:
- High alert noise without tuning
- Query language differs from industry standards
Splunk AppDynamics is designed for teams that need deep visibility into business transaction flows across complex applications. It’s especially useful for enterprises and IT leaders who want to connect application performance directly to business outcomes. If you’re looking for a New Relic alternative that excels at mapping and monitoring end-to-end business transactions, Splunk AppDynamics offers a focused approach.
Why Splunk AppDynamics Is a Good New Relic Alternative
Splunk AppDynamics stands out for its ability to monitor business transactions end-to-end, making it a strong choice for organizations that need to tie application performance directly to business metrics. I like how it automatically discovers, maps, and visualizes transaction flows across distributed environments, so you can see exactly where bottlenecks impact user experience or revenue. Its transaction snapshots and code-level diagnostics help teams quickly identify and resolve issues that affect critical business processes. For teams prioritizing business transaction monitoring over generic application metrics, Splunk AppDynamics offers a focused and actionable alternative to New Relic.
Splunk AppDynamics Key Features
In addition to its business transaction monitoring focus, I also found these features valuable:
- Dynamic baselining: Automatically establishes performance baselines and detects anomalies based on historical trends.
- End-user monitoring: Captures real user interactions and performance data from browsers and mobile devices.
- Infrastructure visibility: Monitors servers, databases, and cloud resources alongside application data.
- Custom dashboards: Lets you build tailored visualizations for different teams and stakeholders.
Splunk AppDynamics Integrations
Integrations include Splunk, SAP, Cisco ThousandEyes, OpenTelemetry, ServiceNow, AWS, Microsoft Azure, Google Cloud Platform, and more.
Pros and Cons
Pros:
- Integration with Cisco networking tools
- Code-level diagnostics for Java and .NET
- Granular business transaction mapping
Cons:
- Pricing increases with additional modules
- Limited support for open-source frameworks
Sentry offers real-time error tracking designed for teams that need instant visibility into application issues. It’s especially useful for developers and engineering leads who want to quickly identify, triage, and resolve errors before they impact users. Unlike many New Relic alternatives, Sentry focuses on actionable error diagnostics and deep context for every incident.
Why Sentry Is a Good New Relic Alternative
For teams that need to catch and resolve errors as they happen, Sentry’s real-time error tracking stands out. I picked Sentry because it instantly notifies you of new issues and provides detailed stack traces, user context, and release tracking for every error. Sentry’s event grouping and issue resolution workflow help developers prioritize and fix the most impactful problems quickly. This focus on actionable, real-time diagnostics makes Sentry a strong alternative to New Relic for organizations that want to minimize downtime and user disruption.
Sentry Key Features
Some other features that make Sentry appealing include:
- Performance monitoring: Tracks transaction times and bottlenecks across your application stack.
- Release health tracking: Monitors the stability and adoption of each software release.
- Session replay: Captures user sessions to help visualize the steps leading up to an error.
- Custom alert rules: Lets you define specific conditions for triggering notifications.
Sentry Integrations
Integrations include GitHub, Slack, Jira, GitLab, Azure DevOps, PagerDuty, Datadog, Microsoft Teams, Vercel, and more.
Pros and Cons
Pros:
- Flexible custom alert rules for notifications
- Deep integration with developer toolchains
- Real-time error alerts with detailed context
Cons:
- No synthetic transaction monitoring features
- Limited infrastructure monitoring capabilities
New Product Updates from Sentry
Sentry Adds Log Export in CSV and JSONL
Sentry now supports exporting up to 10,000 log lines from Explore → Logs in CSV or JSON Lines, with downloads available in-browser or as background downloads and email. For more information, visit Sentry's official site.
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Dynatrace offers an observability solution with AI-powered root cause analysis for teams in complex environments. It’s a strong fit for enterprises and IT operations teams managing large-scale cloud-native or hybrid infrastructures. If you want to reduce manual troubleshooting and get actionable insights from observability data, Dynatrace offers a distinct approach compared to other New Relic alternatives.
Why Dynatrace Is a Good New Relic Alternative
What sets Dynatrace apart is its AI-powered root cause analysis, which helps teams quickly pinpoint and resolve issues in complex environments. I appreciate how Davis AI engine automatically analyzes dependencies and anomalies across applications, infrastructure, and user experience data. Dynatrace also provides automated problem detection and prioritization, reducing the need for manual investigation. For organizations seeking to minimize downtime and accelerate troubleshooting, these features make Dynatrace a compelling alternative to New Relic.
Dynatrace Key Features
Some other features worth highlighting include:
- Full-stack observability: Monitor applications, infrastructure, and user experience data from a single platform.
- Automatic dependency mapping: Visualize relationships between services, processes, and hosts without manual configuration.
- Real user monitoring (RUM): Track actual user interactions and performance across web and mobile applications.
- Custom metric ingestion: Bring in external metrics for unified analysis alongside native monitoring data.
Dynatrace Integrations
Integrations include AWS, Microsoft Azure, Google Cloud APIs, Alibaba Cloud, Kubernetes, Docker, Red Hat Enterprise Linux, Oracle HTTP Server, Prometheus, and more.
Pros and Cons
Pros:
- Supports multi-cloud and hybrid environments
- Real user monitoring covers web and mobile
- AI engine automates root cause analysis
Cons:
- Alert noise can require manual tuning
- Limited custom dashboarding options
Datadog is built for teams managing dynamic, cloud-native environments that need unified visibility across infrastructure, applications, and logs. It’s especially relevant for DevOps, SRE, and platform teams who want to correlate metrics, traces, and events in real time. If you’re seeking a New Relic alternative with deep integrations for cloud platforms and containerized workloads, Datadog offers a monitoring approach tailored to modern architectures.
Why Datadog Is a Good New Relic Alternative
For teams focused on cloud-native infrastructure visibility, Datadog offers a monitoring experience that’s purpose-built for modern, distributed systems. I appreciate how Datadog provides unified dashboards that correlate time-series infrastructure metrics and application traces. Its auto-discovery of cloud resources and support for container orchestration platforms like Kubernetes make it especially useful for organizations running microservices at scale. If you need granular, real-time insights into cloud workloads, Datadog is a strong alternative to New Relic.
Datadog Key Features
Some other features that stood out to me include:
- Synthetic monitoring: Simulates user interactions to test application and API performance from multiple locations.
- Network performance monitoring: Tracks network traffic, latency, and dependencies across cloud and on-premises environments.
- Security monitoring: Detects threats and suspicious activity by analyzing logs and infrastructure events.
- Custom alerting: Lets you set up tailored alerts based on thresholds, anomalies, or composite conditions.
Datadog Integrations
Integrations include AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, Slack, PagerDuty, GitHub, Jira, and more.
Pros and Cons
Pros:
- Security monitoring integrated with observability data
- Real-time log analytics with custom dashboards
- Native support for Kubernetes and containers
Cons:
- Limited retention periods for logs
- High data ingestion costs for large environments
Best for monitoring hybrid IT environments
ManageEngine Applications Manager is designed for teams managing self-hosted, cloud, and on-premises systems in hybrid IT environments. It appeals to IT operations and infrastructure teams that need unified monitoring across diverse technologies. If you’re looking for deep visibility into applications, servers, and databases without being tied to a single cloud provider, this platform stands out.
Why ManageEngine Applications Manager Is a Good New Relic Alternative
For organizations juggling PHP apps and on-premises assets, ManageEngine Applications Manager offers unified monitoring. I picked it for its ability to track performance across hybrid IT environments, including legacy systems and modern cloud apps. The platform provides real-time application, server, and database monitoring from a single dashboard. Its support for over 150 technologies makes it a strong fit for teams with diverse infrastructure.
ManageEngine Applications Manager Key Features
Some other features worth noting include:
- Synthetic transaction monitoring: Simulate user interactions to proactively detect application issues before they impact real users.
- Customizable dashboards: Build tailored views to track the metrics and KPIs that matter most to your team.
- Automated alerting: Set up threshold-based alerts to notify you of performance anomalies or outages as soon as they occur.
- Root cause analysis tools: Drill down into incidents with detailed reports and dependency mapping to quickly identify the source of problems.
ManageEngine Applications Manager Integrations
Integrations include AWS, Azure, Google Cloud Platform, Oracle Cloud, Microsoft 365, ServiceNow, Docker, Kubernetes, VMware, and Apache Tomcat.
Pros and Cons
Pros:
- Monitors 150+ different application types
- Offers deep database and server visibility
- Supports both cloud and on-premises monitoring
Cons:
- Fewer AI-driven insights than competitors
- User interface can feel outdated
New Product Updates from ManageEngine Applications Manager
Oracle Cloud Application Monitoring Now Available in ManageEngine Applications Manager
ManageEngine Applications Manager introduces Oracle Cloud Application Monitoring, Oracle Cloud Function Monitoring, and Oracle Cloud NAT Gateway Monitoring. These new capabilities help teams monitor Oracle Cloud applications, serverless workloads, and network resources from a single platform. For more information, visit ManageEngine Applications Manager's official site.
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Criteri di selezione delle alternative a New Relic
Nella selezione delle migliori alternative a New Relic da includere in questa lista, ho considerato i bisogni comuni degli acquirenti e i punti critici relativi ai prodotti di monitoraggio delle prestazioni applicative e alle piattaforme di osservabilità, come la risoluzione dei problemi dei sistemi distribuiti e l’identificazione dei colli di bottiglia nelle prestazioni. Ho inoltre utilizzato il seguente framework per mantenere la valutazione strutturata ed equa:
Funzionalità principali (25% del punteggio totale)
Per essere incluse in questa lista, tutte le soluzioni dovevano soddisfare questi casi d’uso comuni:
- Monitoraggio delle prestazioni applicative in tempo reale
- Tracciamento e notifica di errori ed eccezioni
- Visualizzazione di tracce distribuite e mappe dei servizi
- Analisi congiunta di log e metriche
- Supporto alle integrazioni con ambienti cloud
Caratteristiche distintive aggiuntive (25% del punteggio totale)
Per restringere ulteriormente la concorrenza, ho cercato anche funzionalità uniche come:
- Analisi di eventi ad elevata cardinalità
- Rilevamento di anomalie basato su AI
- Dashboard e visualizzazioni personalizzabili
- Monitoraggio degli obiettivi di livello di servizio integrato
- Strumenti avanzati per l’analisi delle cause principali
Usabilità (10% del punteggio totale)
Per avere una percezione dell’usabilità di ciascun sistema, ho considerato i seguenti aspetti:
- Navigazione intuitiva e layout della dashboard
- Opzioni chiare di visualizzazione dei dati
- Configurazione minima per le funzionalità di monitoraggio principali
- Interfaccia utente reattiva e accessibile
- Organizzazione logica degli strumenti di monitoraggio e allerta
Onboarding (10% del punteggio totale)
Per valutare l'esperienza di onboarding di ciascuna piattaforma, ho preso in considerazione i seguenti aspetti:
- Disponibilità di guide all'installazione passo dopo passo
- Accesso a video formativi e documentazione
- Tour interattivi del prodotto o checklist di onboarding
- Template predefiniti per scenari di monitoraggio comuni
- Supporto alla migrazione dei dati da altre piattaforme
Assistenza clienti (10% del punteggio totale)
Per valutare i servizi di assistenza clienti di ogni fornitore di software, ho considerato quanto segue:
- Disponibilità di chat dal vivo o assistenza telefonica
- Reattività di fronte a problemi tecnici
- Accesso a una knowledge base o centro assistenza
- Forum della community o gruppi di utenti
- Disponibilità di webinar di onboarding e troubleshooting
Rapporto qualità-prezzo (10% del punteggio totale)
Per valutare il rapporto qualità-prezzo di ciascuna piattaforma, ho preso in considerazione i seguenti punti:
- Modelli di prezzo trasparenti e vantaggiosi
- Gamma di funzionalità incluse nei piani base
- Flessibilità nell'adattarsi alle esigenze aziendali
- Nessun costo nascosto o addebiti a sorpresa
- Disponibilità di prova gratuita o di un piano gratuito
Recensioni dei clienti (10% del punteggio totale)
Per capire il livello di soddisfazione generale dei clienti, durante la lettura delle recensioni ho considerato questi aspetti:
- Costanza del feedback positivo tra le varie piattaforme
- Segnalazioni di performance affidabile e disponibilità continua
- Commenti sull'esperienza di supporto e onboarding
- Osservazioni degli utenti sulla profondità e flessibilità delle funzionalità
- Tendenze negli aggiornamenti o miglioramenti recenti
Perché cercare un'alternativa a New Relic?
Sebbene New Relic sia una scelta solida, molti utenti cercano alternative a causa dei costi di prezzo e del volume di dati associati a New Relic. Potresti voler trovare un'alternativa a New Relic perché…
- Hai bisogno di una tariffazione più flessibile per grandi volumi di dati
- Desideri un supporto più approfondito per le integrazioni open source
- Richiedi funzionalità avanzate per l'analisi di eventi ad alta cardinalità
- Hai bisogno di un controllo più dettagliato sulla conservazione dei dati
- Vuoi un'interfaccia più semplice per il tracciamento distribuito
- Operi in regioni dove il supporto New Relic è limitato
Se ti riconosci in uno di questi punti, sei nel posto giusto. La mia lista include diverse soluzioni di monitoraggio delle prestazioni applicative e piattaforme di observability pensate specificamente per i team che devono affrontare queste sfide con New Relic e sono alla ricerca di alternative.
Caratteristiche principali di New Relic
Ecco alcune delle caratteristiche chiave di New Relic, per aiutarti a confrontare e valutare ciò che offrono le soluzioni alternative:
- Monitoraggio APM: Monitora le metriche delle prestazioni delle applicazioni, i tassi di errore e i tempi delle transazioni per aiutare i team a identificare e risolvere i colli di bottiglia in tempo reale.
- Tracciamento distribuito: Segue le richieste mentre viaggiano attraverso microservizi e infrastruttura, rendendo più facile individuare dove si verificano latenza o malfunzionamenti.
- Monitoraggio dell'infrastruttura: Fornisce visibilità su server, container e risorse cloud, permettendo agli utenti di correlare la salute dell'infrastruttura con le prestazioni delle applicazioni.
- Gestione dei log: Raccoglie e analizza i dati dei log da più fonti, consentendo una risoluzione dei problemi e un'analisi delle cause più rapida.
- Monitoraggio sintetico: Simula interazioni degli utenti e chiamate API per rilevare proattivamente interruzioni o problemi di prestazioni prima che abbiano un impatto sugli utenti reali.
- Monitoraggio degli utenti reali (RUM): Cattura dati dalle sessioni effettive degli utenti, offrendo approfondimenti sulle prestazioni del frontend e sull'esperienza degli utenti su dispositivi e località diverse.
- Avvisi e gestione degli incidenti: Invia avvisi personalizzabili in base a soglie o anomalie e si integra con strumenti di risposta agli incidenti per gestire i flussi di lavoro di risoluzione.
- Dashboard e visualizzazione: Offre dashboard personalizzabili che aggregano metriche, trace e log per una visione unificata dello stato e delle prestazioni del sistema.
- Mappe dei servizi: Visualizzano relazioni e dipendenze tra i servizi, aiutando i team a comprendere l'impatto dei problemi negli ambienti distribuiti.
- Integrazioni: Si collega nativamente con i principali provider cloud, strumenti DevOps e piattaforme di terze parti per centralizzare i dati di osservabilità e automatizzare i flussi di lavoro.
E ora?
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