10 Best New Relic Alternatives for Monitoring in 2026

By
Paulo Gardini Miguel
Tech director with 15+ years scaling platforms & AI workflows for digital media.

We review tools independently, and commissions help fund our testing. See our transparency policy, our methodology, or suggest a tool.

New Relic alternatives enhance application monitoring for IT professionals, enabling improved performance tracking and cost management within various infrastructures.

If you're managing a tech team, you know the right tools can make all the difference. That said, maybe New Relic isn't meeting your needs or budget. Whatever the reason, finding alternatives can be a real challenge.

I've spent time testing and reviewing various software solutions to bring you unbiased, research-backed insights. In this article, you'll find the best New Relic alternatives that fit your business better.

I aim to help you choose the right tool for your team’s challenges. You’ll get a clear sense of each software’s strengths and weaknesses. So, let’s dive in and find the best solution for you.

What Is New Relic?

New Relic is an observability platform that helps businesses monitor, troubleshoot, and optimize software performance. It's commonly used by IT professionals, developers, and site reliability engineers who need to keep their applications running smoothly. 

With AI-driven insights, New Relic predicts potential issues and detects anomalies before they impact users. Supporting diverse programming languages, frameworks, and cloud platforms, it aligns technical performance with business metrics to improve customer experiences and operational efficiency.

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For this guide, we evaluated tools using hands-on testing and independent research, scoring tools using our selection criteria.

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New Relic Alternatives Comparison Table

This comparison table summarizes pricing details for my top New Relic alternative selections:

1Best for error tracking in appsFree plan + 14-day trial + free demo availableFrom $26/month (billed annually)Website
2Best for real user monitoringFree plan + 30-day trial + demo availableFrom $10/monthWebsite
3Best for AI-powered analyticsFree plan + 30-day trial availableFrom $395/year (billed annually)Website
4Best for agentless architecture15-day free trial + free demo availableFrom $19/monthWebsite
5Best for AWS integration30-day free trial + demo availableFrom $27.50/service/month (billed annually)Website
6Best for distributed tracingFree plan + 14-day trial availableFrom $99/monthWebsite
7Best for cost-effective scalingFree plan + 3-month free trial availablePricing upon requestWebsite
8Best for multi-source monitoringFree plan + 14-day trial availableFrom $19/monthWebsite
9Best for network monitoringFree plan + 30-day free trial + demo availableFrom $200/month (billed annually)Website
10Best for remote management30-day free trial + demo availableFrom $129/user/month (billed annually)Website

Best New Relic Alternatives Reviews

Below are my detailed summaries of my shortlist’s best New Relic alternatives. My reviews thoroughly examine the key features, pros & cons, integrations, and ideal use cases of each tool to help you find the best one for you.

  1. Best for error tracking in apps
    • Free plan + 14-day trial + free demo available
    • From $26/month (billed annually)
    Visit Website
    Customer Rating:4.5/5
    Sentry trace view showing POST /api/generate spans and performance breakdown panel.
    Sentry's trace view helps users diagnose slow API performance issues.

    Sentry is an application monitoring platform built for engineering teams who need deep error visibility—connecting stack traces, session replays, distributed traces, and AI-driven root cause analysis to help you move from alert to fix faster.

    Who Is Sentry Best For?

    Sentry is a strong fit for engineering teams whose top priority is diagnosing application errors fast, especially those who want code-level context, session replays, and AI-assisted root cause analysis in one place.

    Why I Picked Sentry

    I picked Sentry as one of the best New Relic alternatives because it goes deeper on application error tracking than any other tool I've seen. When an error fires, I can jump straight from the alert into a session replay that shows exactly what the user did before the crash, then pivot into the correlated trace to see which service and span broke. Sentry's Seer AI also analyzes stack traces, commits, and logs to surface a probable root cause without me digging manually through telemetry.

    Sentry Key Features

    • Seer AI autofix: Traces an issue's root cause through your codebase and drafts a code fix you can send directly to Claude, Copilot, or Cursor.
    • Anomaly-based alerting: Learns historical patterns and adjusts alert thresholds dynamically for seasonality, so you spend less time tuning static rules.
    • Continuous and UI profiling: Profiles Node.js and Python backends for CPU spikes and captures iOS and Android UI-thread execution to investigate frame drops.
    • Uptime monitoring: Runs geo-distributed HTTP checks at intervals as short as one minute, detects DNS failures, and links downtime issues to related traces and errors.

    Sentry Integrations

    Sentry offers native integrations with GitHub, Jira, Slack, GitLab, Microsoft Teams, PagerDuty, and Bitbucket, plus marketplace integrations for Datadog, Splunk, and Grafana Labs. Its REST API supports custom integrations.

    Pros and Cons

    Pros:

    • Correlated traces clarify application incident paths
    • Session replays help reproduce user-facing bugs
    • Error context speeds root-cause diagnosis

    Cons:

    • Complex backend APM can lack depth
    • No infrastructure health or resource monitoring
    Learn more about Sentry:
  2. Best for real user monitoring
    • Free plan + 30-day trial + demo available
    • From $10/month
    Visit Website
    Customer Rating:4.7/5
    Site24x7 distributed tracing dashboard showing transaction timelines across microservices.
    Site24x7 traces individual transactions across microservices to reduce MTTD and MTTR.

    Site24x7 is a full-stack monitoring platform from Zoho that connects real-user browser and mobile sessions to backend APM traces, server logs, and infrastructure context—making it a strong fit for DevOps and SRE teams who need end-to-end visibility without juggling separate tools.

    Who Is Site24x7 Best For?

    Site24x7 is a strong fit for DevOps and SRE teams that need to trace real-user browser sessions all the way back to backend services without managing separate tools.

    Why I Picked Site24x7

    I've included Site24x7 in my top picks because it connects real browser sessions to backend APM traces in a way that makes incident investigation feel like one continuous workflow rather than stitching together separate tools. I particularly like how session replay links directly to the JavaScript errors or performance thresholds that triggered it, so you can watch exactly what a user experienced right before a timeout or crash. That RUM-to-trace pivot, combined with Zia's ability to correlate frontend signals with slow API calls or database queries, is what sets it apart as a real user monitoring platform.

    Site24x7 Key Features

    • Core Web Vitals alerting: Configure threshold alerts for LCP, INP, and CLS, with resource waterfall charts to pinpoint the source of delays.
    • OpenTelemetry support: Export frontend telemetry through the OpenTelemetry Collector and correlate it with OpenTelemetry-instrumented backends across traces, metrics, and logs.
    • Custom session attributes: Attach attributes like cart value, A/B test variant, or conversion step to sessions for filtering reports and analyzing user journeys.
    • Zia AI anomaly detection: Automatically adjusts performance baselines to time-of-day and seasonal patterns to flag degradation before it affects most users.

    Site24x7 Integrations

    Site24x7 offers native integrations with PagerDuty, Slack, Microsoft Teams, Jira, ServiceNow, Opsgenie, and Amazon EventBridge, plus webhooks for custom alert routing. It also provides a REST API with OAuth 2.0 and supports Zapier.

    Pros and Cons

    Pros:

    • Custom dashboards connect application and log data
    • Session replay reveals user-visible failure sequences
    • Links browser failures to backend traces

    Cons:

    • Full trace capture requires an enterprise plan
    • RUM alone misses infrastructure health metrics
  3. Best for AI-powered analytics
    • Free plan + 30-day trial available
    • From $395/year (billed annually)
    Visit Website
    Customer Rating:4.3/5
    HP-UX SSH server monitor dashboard showing CPU, memory, and disk utilization gauges.
    ManageEngine Applications Manager monitors server health, uptime, and resource utilization.

    ManageEngine Applications Manager is a full-stack monitoring tool from Zoho Corp. that gives DevOps, SRE, and IT operations teams unified visibility across applications, infrastructure, databases, containers, and cloud environments—without the unpredictable costs of ingestion-based pricing.

    Who Is ManageEngine Applications Manager Best For?

    IT operations teams and SREs managing mixed environments—on-premises, cloud, and containerized—who need broad monitoring coverage without ingestion-based billing surprises.

    Why I Picked ManageEngine Applications Manager

    I picked ManageEngine Applications Manager because its AI-powered analytics go well beyond basic alerting. I especially like the AI alarm summaries, which correlate related alarms across applications, servers, and databases simultaneously, surfacing probable root causes and step-by-step remediation workflows in one view. The adaptive thresholds and machine-learning forecast reports mean I'm catching anomalies and capacity issues before they become incidents, not after.

    ManageEngine Applications Manager Key Features

    • Distributed tracing: Follow requests end-to-end across microservices, with transaction flow visualization, service dependency maps, and performance metrics for each service call.
    • Real User Monitoring: Capture actual user traffic data including page loads, AJAX calls, JavaScript errors, and performance breakdowns by geography, browser, and device.
    • Multi-cloud monitoring: Monitor AWS, Azure, Google Cloud, Oracle Cloud, and OpenStack alongside on-premises infrastructure from a single console.
    • ITSM and webhook integrations: Automatically create tickets in ServiceNow or ServiceDesk Plus from monitoring alarms, and trigger custom workflows through webhooks.

    ManageEngine Applications Manager Integrations

    ManageEngine Applications Manager claims 300+ integrations, including native integrations with ServiceNow, ServiceDesk Plus, Slack, Splunk, OpManager, AlarmsOne, and Analytics Plus. Its REST API and webhooks support custom integrations and automated workflows.

    Pros and Cons

    Pros:

    • Hybrid monitoring covers cloud, containers, and legacy systems
    • Transaction and query diagnostics help locate bottlenecks
    • Consolidated views span applications, servers, and databases

    Cons:

    • Large historical reports can be slow or time out
    • Reviewers report delayed alerts and missed alarms
    Learn more about ManageEngine Applications Manager:
  4. Best for agentless architecture
    • 15-day free trial + free demo available
    • From $19/month
    Visit Website
    Customer Rating:4.5/5
    LogicMonitor Resource Explorer dashboard showing Azure blob storage alert details and metrics chart.
    LogicMonitor surfaces real-time alerts and metrics across cloud resources.

    LogicMonitor is a hybrid observability platform that gives IT ops teams, DevOps engineers, and SREs unified visibility across on-premises infrastructure, cloud environments, networks, and applications—with AI-driven alerting and root cause analysis built in.

    Who Is LogicMonitor Best For?

    LogicMonitor is a strong fit for IT operations teams managing complex hybrid environments where agentless infrastructure monitoring, AI-driven alerting, and multi-cloud visibility need to work together at scale.

    Why I Picked LogicMonitor

    I picked LogicMonitor as one of the best because its agentless Collector architecture means I can monitor hundreds of on-premises servers, network devices, and cloud resources without deploying an agent on every single machine. One Collector per infrastructure location handles SNMP, WMI, SSH, and JMX polling across everything assigned to it. Pair that with Edwin AI's cross-domain root cause analysis, and my team can correlate topology, dependencies, and service impact in one place instead of jumping between tools.

    LogicMonitor Key Features

    • Edwin AI event intelligence: Compresses alert storms into prioritized, actionable insights by correlating cross-domain events with topology, dependencies, and service impact.
    • OpenTelemetry Collector support: Runs on Windows, Linux, Docker, or Kubernetes with configurable receiver, processor, and exporter pipelines for traces, metrics, and logs.
    • Customizable alert rules: Routes alerts to escalation chains based on priority, resource attributes, and LogicModule or datapoint filters, with configurable notification intervals.
    • Real User Monitoring with session replay: Replays real user sessions—including clicks, scrolling, and navigation—and correlates them with backend, API, and third-party performance data.

    LogicMonitor Integrations

    LogicMonitor documents more than 3,000 monitoring integrations and modules, including Amazon, Azure, Google Cloud, Cisco, Ansible, GitHub, Datadog, and Grafana. It also provides REST API v3 and a LogicMonitor v3 SDK for custom integrations.

    Pros and Cons

    Pros:

    • Configurable alerts support escalation workflows
    • Broad infrastructure visibility across hybrid estates
    • Agentless Collector avoids per-resource agents

    Cons:

    • Alert noise and custom reports need tuning
    • Costs can rise as monitoring expands
  5. Best for AWS integration
    • 30-day free trial + demo available
    • From $27.50/service/month (billed annually)
    Visit Website
    Customer Rating:4.2/5
    AppOptics dashboard showing Azure Redis metrics including cache hits, writes, and connected clients.
    AppOptics monitors Azure Redis cache metrics in a unified dashboard.

    SolarWinds Observability SaaS is a unified observability platform built for DevOps, SRE, and IT operations teams who need to monitor applications, infrastructure, databases, and logs across cloud-native and hybrid environments from a single view.

    Who Is AppOptics Best For?

    SolarWinds Observability SaaS is a strong fit for DevOps and SRE teams running workloads on AWS who need unified visibility across applications, infrastructure, and logs without managing multiple monitoring tools.

    Why I Picked AppOptics

    I picked SolarWinds Observability SaaS for its AWS integration depth, which goes well beyond basic CloudWatch polling. I appreciate that it discovers and maps entities across EC2, EKS, Lambda, RDS, DynamoDB, and CloudFront, then ties that infrastructure data directly to application traces and logs in one view. When an AWS service degrades, Root Cause Assist correlates the related metrics, anomalies, and change events automatically, so I'm not manually piecing together what happened across a dozen services.

    AppOptics Key Features

    • Code profiling: Identifies performance bottlenecks at the code level within your instrumented Java, .NET, Python, Ruby, PHP, and Node.js applications without requiring manual code changes.
    • Real user monitoring: Captures actual user sessions by region, device, and browser, with session replay and Apdex ratings for client-side troubleshooting.
    • Synthetic monitoring: Runs scheduled uptime and transaction checks from external locations and alerts your team when availability or performance thresholds are breached.
    • OpenTelemetry ingestion: Accepts traces, metrics, and logs over HTTP or gRPC via the SolarWinds OTel Collector, with support for customer-configured tail-sampling policies.

    AppOptics Integrations

    SolarWinds Observability offers hundreds of observability integrations, including AWS, Microsoft Azure, Google Cloud, SQL Server, Slack, PagerDuty, ServiceNow, and New Relic. It also supports webhooks, Zapier, and a public REST API for custom integrations.

    Pros and Cons

    Pros:

    • Dashboards and alerts surface system issues
    • Root Cause Assist links events to degradation
    • Correlates applications and infrastructure for troubleshooting

    Cons:

    • Costs can rise as monitoring expands
    • Complex setup can delay larger deployments
    Learn more about AppOptics:
  6. Best for distributed tracing
    • Free plan + 14-day trial available
    • From $99/month
    Elastic APM timeline showing Jenkins and Maven pipeline transaction spans with durations.
    Elastic APM visualizes Jenkins pipeline traces with timing breakdowns.

    Elastic APM is an OpenTelemetry-native monitoring tool that appeals to DevOps and SRE teams who need deep visibility into request traces, database queries, and service dependencies across distributed, cloud-native environments.

    Who Is Elastic APM Best For?

    Elastic APM is a strong fit for DevOps and SRE teams already running the Elastic Stack who need deep distributed tracing across polyglot, cloud-native services.

    Why I Picked Elastic APM

    I've included Elastic APM in my top picks because its distributed tracing goes deeper than most tools I've used, capturing spans across database queries, cache calls, and external HTTP requests down to the exact line of code. I particularly like how service maps automatically surface dependencies across cloud and container environments, so when latency spikes in a polyglot microservices setup, I can pinpoint which upstream or downstream service is the culprit without manually correlating logs.

    Elastic APM Key Features

    • OpenTelemetry auto-instrumentation: Elastic Distributions of OpenTelemetry automatically instruments Java, .NET, Python, Node.js, PHP, iOS, and Android applications without requiring proprietary agents.
    • Latency threshold alerting: Configurable rules alert on average, 95th-percentile, or 99th-percentile latency for specific services, environments, and transaction types.
    • Infrastructure Inventory: A unified view groups hosts, Kubernetes pods, containers, and AWS resources with CPU, memory, disk, and network metrics in one place.
    • AI Assistant for incident investigation: The Elastic AI Assistant surfaces next steps for transaction latency and application errors by referencing runbooks and known GitHub issues.

    Elastic APM Integrations

    Elastic Observability offers 550+ one-click integrations, while Elastic APM documents OpenTelemetry, Jaeger, Slack, Jira, and a New Relic connector. APM UI, intake, and Serverless APIs support custom integrations.

    Pros and Cons

    Pros:

    • OpenTelemetry agents cover multiple application languages
    • Service maps trace dependencies across polyglot systems
    • Deep spans expose database and HTTP latency

    Cons:

    • OTel infrastructure gaps affect managed Kubernetes visibility
    • Self-managed sampling can skew throughput metrics
  7. Best for cost-effective scaling
    • Free plan + 3-month free trial available
    • Pricing upon request
    Amazon QuickSight dashboard showing sales trends, orders by state, and top customers.
    Amazon QuickSight visualizes sales trends, orders, and customer profit data.

    Amazon CloudWatch is AWS's native monitoring and observability service that lets DevOps engineers, SREs, and IT operations teams collect metrics, logs, and traces across AWS infrastructure and hybrid environments without managing a separate observability platform.

    Who Is Amazon CloudWatch Best For?

    Amazon CloudWatch is the natural fit for DevOps engineers and SREs who are already running workloads on AWS and want monitoring built into the same ecosystem—without managing a separate platform.

    Why I Picked Amazon CloudWatch

    I picked Amazon CloudWatch because it's the only monitoring tool on this list that scales your costs directly with your AWS footprint, charging nothing until you actually use it. If your team is already running workloads on EC2, Lambda, or EKS, CloudWatch's native metrics and Container Insights activate with minimal setup, so you're not paying for coverage you don't need. I also find that Application Signals can auto-detect latency and error rates across Java, Python, and Node.js services without manual instrumentation, which keeps monitoring overhead low as infrastructure grows.

    Amazon CloudWatch Key Features

    • Composite alarms: Combines multiple metric alarms into a single alarm that reflects the overall health of an application, Region, or Availability Zone.
    • CloudWatch Logs Insights: Queries log data using filters, aggregations, and regular expressions, with results you can pin directly to dashboards.
    • Cross-account observability: Lets you view, query, and correlate metrics, logs, and traces from multiple AWS accounts in a single central monitoring account.
    • AI-driven investigations: Starts automated root-cause investigations from alarms or Amazon Q chat, correlating telemetry and service configurations to generate hypotheses and post-incident reports.

    Amazon CloudWatch Integrations

    Amazon CloudWatch has native integrations with Amazon EC2, Amazon ECS, Amazon EKS, AWS Lambda, Amazon API Gateway, AWS CloudTrail, and Amazon OpenSearch Service. It also supports Prometheus, Azure Monitor, Grafana, OpenTelemetry, and custom integrations through AWS APIs.

    Pros and Cons

    Pros:

    • Alarms can trigger automated scaling actions
    • Cross-account views consolidate operational signals
    • Native AWS telemetry needs little setup

    Cons:

    • Dashboards feel basic and disconnected
    • Transaction tracing offers less application detail
    Learn more about Amazon CloudWatch:
  8. Best for multi-source monitoring
    • Free plan + 14-day trial available
    • From $19/month
    Grafana dashboard showing PostgreSQL metrics including connections, cache, and query duration.
    Grafana Labs monitors PostgreSQL performance via real-time dashboards.

    Grafana Cloud is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and profiles in one place, making it a strong fit for SRE and platform teams who need to monitor complex, multi-source environments without being locked into a single vendor's data backend.

    Who Is Grafana Labs Best For?

    Grafana Cloud is a strong fit for SRE and platform engineering teams that need to unify telemetry from many different sources without committing to a single vendor's data backend.

    Why I Picked Grafana Labs

    I picked Grafana Cloud as one of the best New Relic alternatives because it genuinely shines when your telemetry comes from many different places at once. Where New Relic pushes you toward its own agents and backends, Grafana Cloud lets me query Prometheus metrics, Loki logs, and Tempo traces side by side, correlating signals across AWS, Azure, and Kubernetes without forcing everything through a single proprietary pipeline. I especially like Application Observability's Knowledge Graph, which automatically maps service relationships from OpenTelemetry data and surfaces RED metrics so my team can pinpoint a degraded service without manually piecing together dashboards.

    Grafana Labs Key Features

    • Adaptive Telemetry: Automatically identifies and reduces unused metrics, logs, and traces to cut telemetry costs without dropping signals your team actually uses.
    • SLO alerting with burn-rate alerts: Lets you define service level objectives and generates fast- and slow-burn alerts alongside error budget dashboards.
    • Incident Response & Management (IRM): Provides on-call scheduling, alert-to-incident creation, and incident workflows alongside your telemetry in one view.
    • Synthetic monitoring with browser testing: Runs API checks and simulated browser journeys from probes across AMER, EMEA, and APAC to catch outages before users do.

    Grafana Labs Integrations

    Grafana Cloud offers marketplace integrations with New Relic, AWS, Microsoft Azure Observability, Google Cloud Observability, Kubernetes, Jira, PagerDuty, GitHub, GitLab, and Jenkins. It also provides HTTP, Grafana Cloud, tracing, and Synthetic Monitoring REST APIs for custom integrations.

    Pros and Cons

    Pros:

    • Knowledge Graph helps trace service relationships
    • Custom dashboards combine data from multiple sources
    • Correlates metrics, logs, traces, and profiles

    Cons:

    • Signal correlation depends on matching labels exactly
    • Advanced alert routing can feel clunky
    Learn more about Grafana Labs:
  9. Best for network monitoring
    • Free plan + 30-day free trial + demo available
    • From $200/month (billed annually)
    PRTG network monitor dashboard showing server status, uptime graphs, and service health.
    Paessler PRTG provides a visual map dashboard for monitoring servers and services.

    Paessler PRTG is a network and infrastructure monitoring platform built for IT operations teams who need broad visibility across on-premises, cloud, and hybrid environments without the application-layer depth of a full observability suite.

    Who Is Paessler PRTG Best For?

    PRTG is a strong fit for IT operations teams that need broad network and infrastructure visibility across on-premises, cloud, and hybrid environments.

    Why I Picked Paessler PRTG

    I picked Paessler PRTG as one of the best because it's the strongest network monitoring option on this list. Where New Relic focuses on application-layer observability, PRTG goes deep on network and infrastructure visibility, using agentless, sensor-based monitoring across SNMP, WMI, flow protocols, and packet sniffing. I particularly like its auto-discovery, which maps devices across your environment and assigns sensors automatically, and its customizable maps with 300+ widgets that give ops teams a live view of infrastructure status at a glance.

    Paessler PRTG Key Features

    • Agentless monitoring: PRTG monitors devices and systems across your network without requiring agents installed on each monitored endpoint.
    • Multi-channel alert notifications: Send alerts via email, SMS, Slack, Microsoft Teams, mobile push, syslog, or SNMP trap based on configurable thresholds.
    • Scheduled and on-demand reporting: Generate reports for selected sensors and time periods, with export options in XML and CSV formats.
    • REST API access: PRTG API v2 lets you access monitoring resources and automate tasks programmatically from external tools and scripts.

    Paessler PRTG Integrations

    Paessler PRTG offers native alert integrations with Microsoft Teams, Slack, syslog, and SNMP traps. It also provides a REST API for custom integrations and supports monitoring AWS, Microsoft Azure, Google Cloud, Kubernetes, Jenkins, and Docker.

    Pros and Cons

    Pros:

    • Dashboards quickly show network status
    • Alerts help teams catch issues early
    • Broad device and infrastructure coverage

    Cons:

    • Sensor growth can raise monitoring costs
    • No distributed tracing for service requests
    Learn more about Paessler PRTG:
  10. Best for remote management
    • 30-day free trial + demo available
    • From $129/user/month (billed annually)
    Atera dashboard showing device details, remote connect options, and CPU memory metrics.
    Atera Networks lets users remotely connect to devices and monitor performance metrics.

    Atera is an RMM and PSA platform built for IT teams and MSPs who need centralized endpoint monitoring, automated patching, and remote device management across large, distributed environments.

    Who Is Atera Best For?

    Atera is a strong fit for IT managers and MSP technicians who need centralized endpoint monitoring, automated patching, and remote device management across distributed environments.

    Why I Picked Atera

    I picked Atera as one of the best because its RMM platform gives IT teams a centralized console for monitoring, alerting, and managing every endpoint across distributed environments. I particularly like the threshold alert profiles, which can trigger auto-healing scripts the moment a device condition is breached, reducing the need for manual intervention. The AI Copilot also adds real value: it runs device health checks, generates fix scripts from plain language, and summarizes remote sessions so my team spends less time on diagnostics.

    Atera Key Features

    • Threshold alert profiles: Configure custom alerting rules for CPU, memory, disk, services, and event logs, then assign them at the device, folder, or customer level.
    • Automated patch management: Schedule and deploy OS and third-party software updates across Windows, macOS, and Linux endpoints from a single console.
    • AI Copilot script generation: Convert plain-language instructions into executable scripts or command-line entries directly within the platform.
    • Per-technician pricing with unlimited devices: Pay a flat rate per technician seat with no additional charge for the number of endpoints or customers managed.

    Atera Integrations

    Atera offers integrations with Microsoft Azure AD, plus marketplace integrations for QuickBooks Online and Xero; QuickBooks Desktop is supported through CSV export. Its HTTPS API supports custom integrations.

    Pros and Cons

    Pros:

    • Cuts repetitive patching and scripting work
    • Automates routine fixes before escalation
    • Centralizes endpoint health and alerts

    Cons:

    • Limited dashboard and report flexibility
    • No distributed tracing or transaction-level APM
    Learn more about Atera Networks:

Other New Relic Alternatives

Here are some additional New Relic alternatives that didn’t make it onto my shortlist but are still worth checking out.

  1. 11
    Stackify RetraceBest for real-time code profiling
  2. 12
    SematextBest for cost-effective monitoring
  3. 13
    ZenossBest for hybrid IT environments
  4. 14
    Dotcom MonitorBest for real-browser user simulations
  5. 15
    AppDynamicsBest for business transaction monitoring
  6. 16
    DynatraceBest for full-stack monitoring
  7. 17
    DatadogBest for cross-platform visibility
  8. 18
    Sumo LogicBest for cloud-native applications
  9. 19
    SplunkBest for big data analysis
  10. 20
    IBM InstanaBest for AI-driven insights
  11. 21
    Azure MonitorBest for Microsoft ecosystem users

How I Evaluate New Relic Alternatives

I first check whether a platform covers the same ground as New Relic—APM, infrastructure metrics, logs, traces, alerting, and dashboards. From there, I evaluate differentiators like pricing, deployment flexibility, and ecosystem depth.

Core Functionality (Table Stakes For This List)

When I'm selecting tools for my list, I rank each one on a scale from 0 (does not offer the functionality) to 5 (excels in this area) for each core functionality listed below. Then, I calculate the tool's total score into a percentage. Each tool needs to achieve a minimum total score of 75% to be considered for inclusion.

  • Application Performance Monitoring: I evaluate how deep the APM goes—whether it surfaces slow database queries in a Django app or traces a latency spike back to a specific Java method.
  • Infrastructure Monitoring: I look for coverage across hosts, containers, and cloud services, including the ability to track Kubernetes pod health alongside VM-level metrics.
  • Distributed Tracing: Tracing matters most in microservices environments, so I check whether a tool can follow a request across multiple services and map dependencies visually.
  • Log Management: I evaluate whether logs can be searched, filtered, and correlated with traces and metrics—like jumping from a 500 error in a trace to the matching log entry.
  • Real-Time Alerting: I look for configurable alert conditions that go beyond static thresholds, plus native integrations with tools like PagerDuty, Opsgenie, and Slack.
  • Custom Dashboards & Visualization: A good dashboard layer lets you build views tailored to your stack—I check for flexible query support, widget variety, and cross-source data display.

Once I have a list of tools that meet the criteria, I consider what sets each platform apart.

Differentiating Factors (What Sets Vendors Apart)

Here's how I compare and contrast different vendors:

Standout Features

OpenTelemetry native support is a big differentiator—teams that instrument with OTel collectors and SDKs can switch vendors or run multi-backend setups without rewriting code. I also evaluate AI-powered anomaly detection, since manually tuning thresholds across hundreds of services doesn't scale. Platforms like Datadog and Dynatrace take different approaches here, but both help reduce alert fatigue. RUM and synthetic monitoring round things out by covering the frontend. I check whether a tool can catch a slow page render or a failing checkout flow before users start filing tickets.

Beyond Features

Pricing is often the top reason teams explore New Relic alternatives, so I evaluate whether a vendor's billing model stays predictable as data volumes grow. Deployment flexibility matters too—teams in regulated industries may need self-hosted options like those available from Grafana and Elastic. I also consider the integration ecosystem, particularly how well a platform connects to CI/CD pipelines and incident management tools your team already depends on.

Why Look For A New Relic Alternative?

While New Relic is a solid choice for IT professionals, there are other reasons why some users seek out alternative solutions. You might be looking for a New Relic alternative because:

  • It doesn't fit your budget
  • You need better customer support
  • You require more scalability options
  • Your team needs specific industry compliance
  • You want better integration with existing tools
  • You're dealing with data residency concerns

If any of these apply, you’ve come to the right place. My list contains several SaaS options better suited for teams facing these challenges with New Relic and looking for alternative solutions.

New Relic Key Features

Here are some of the key features of New Relic to help you contrast and compare what alternative solutions offer.

  • Application performance monitoring (APM): Real-time insights into application performance to identify bottlenecks and optimize efficiency.
  • Serverless monitoring: Keep track of serverless architectures for smooth operation without dedicated servers.
  • Business observability: Combine business metrics with technical performance to holistically understand the impact on outcomes.
  • Security features: Tools for application security testing and vulnerability management to protect software from threats.
  • Digital experience monitoring: Monitor user experiences across web and mobile platforms to improve satisfaction and engagement.
  • AI capabilities: Predictive insights and monitoring to foresee and address issues proactively.
  • Infrastructure monitoring: Monitor infrastructures, including cloud services, for optimal performance across IT environments.
  • Log management: Centralize log tracking and troubleshooting with comprehensive log management tools.
  • Alerts and dashboards: Customizable alerts and dashboards for real-time data and system health updates.
  • Observability platform: Unified monitoring and insights across the tech stack for improved performance and reliability.
  • Troubleshooting tools: Diagnose and resolve issues quickly by identifying bottlenecks and errors.
  • Self-hosted compatibility: Flexible support for self-hosted environments for unique infrastructure needs.
  • Data aggregation: Centralize logs, metrics, and traces to provide a cohesive view of application health.
  • End-user insights: Optimize user interactions by analyzing detailed data on user experiences.
  • Java monitoring: In-depth insights into Java applications, including JVM performance and thread activity.
  • Microservices monitoring: Analyze microservices performance to ensure seamless operation and communication.
  • Tech stack integrations: Easily integrate with various tools and technologies for diverse environments.
  • Workflow automation: Automate repetitive monitoring tasks to enhance DevOps practices.
  • Cloud monitoring: Deep insights into cloud-native application resources, including CPU and memory utilization.
  • CPU utilization tracking: Monitor CPU usage to maintain performance and prevent constraints.
  • DevOps alignment: Actionable insights and tools to bridge gaps between development and operations teams.
  • Frontend performance monitoring: Track and optimize frontend performance for seamless user experiences.
  • In-depth instrumentation: Detailed metrics and tracing to uncover hidden performance issues.
  • Open-source tools support: Compatible with open-source monitoring tools for flexibility and cost-efficiency.
  • Optimization insights: Telemetry and AI-driven recommendations for application and infrastructure performance.
  • Flexible pricing model: Multiple pricing tiers, including a free option, to fit varying budgets.
  • Python support: Detailed monitoring for Python applications, covering performance and dependencies.
  • Synthetic monitoring: Simulate user interactions to optimize application behavior under controlled conditions.
  • Telemetry insights: Manage system health proactively with telemetry data.
  • Web applications monitoring: High-availability monitoring for web applications across platforms.
Paulo Gardini Miguel
Paulo Gardini Miguel

I've spent 15+ years at the intersection of engineering leadership, infrastructure, and technical strategy. As Director of Technology at Black & White Zebra, I lead a 20-person team, shape AI-driven workflows, and oversee cloud architecture across multiple digital publishing brands. Previously, I managed large-scale data platforms at Navegg, partnering with Google, Oracle, and Adobe. I hold a degree in Computer Engineering from Universidade Positivo.

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