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    New Relic APM, Logs + Infrastructure Monitoring (PAYG with Free Tier)

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    Sold by: New Relic 
    Deployed on AWS
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    New Relic's observability platform provides engineers with full visibility into the performance of their AWS cloud services. Get unlimited access to New Relic, including Application Performance Monitoring, Infrastructure, DEM, Serverless, Logs, AIOps, Events, Alerts, and more.
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    Overview

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    Monitor, troubleshoot, and optimize all of your AWS services and applications with New Relic. Start for free with the leading monitoring solution for engineers and devops teams building on AWS, combining 16 tools in one for full-stack observability. New Relic's cloud-based platform seamlessly integrates telemetry data from your entire stack, providing you and your team with a single source of truth for application performance, infrastructure monitoring, log management, error tracking, real-user monitoring, and more.

    • Ingest, analyze, and alert on all your metrics, events, logs, and traces in one place.
    • Visualize and troubleshoot your entire software stack in one intuitive, connected experience.
    • Detect anomalies, correlate issues, and reduce alert noise automatically with AIOps capabilities included in every plan.
    • Monitor like a pro right out-of-the-box with over 500+ quickstart integrations.
    • Go all-in on open source with OpenTelemetry instrumentation, Prometheus OpenMetrics integration, and language-agnostic Pixie auto-telemetry monitoring for Kubernetes.

    New Relic offers developers deep integration across your AWS technologies, making it easy to send telemetry data from AWS services into new Relic to observe the health and performance from Amazon EKS and AWS Lambda through AWS Kinesis, Amazon Cloudwatch, DynamoDB and AWS Distro for OpenTelemetry.

    When you sign up for New Relic via AWS Public Marketplace, you get one free full platform user, 100GB of free data ingest per month, and unlimited basic users, alerts, dashboards, and queries. You only pay for what you use beyond the free tier each month.

    Highlights

    • Quickly visualize and troubleshoot your entire software stack in one connected experience, including application performance monitoring, infrastructure monitoring, RUM, serverless, logs, automatic anomaly detection, and more.
    • Ingest, analyze and alert on all your metrics, events, logs, and traces, all in one place. Free up to 100 GB/month. $0.30 per GB ingested beyond free limit.
    • Get unlimited free basic users, one free full platform user, and additional full platform users for $99 per user/month (max 5 full platform users).

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    Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.

    Pricing

    New Relic APM, Logs + Infrastructure Monitoring (PAYG with Free Tier)

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (2)

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    Dimension
    Cost/unit
    Full platform users (max 5): 1 free, $99/add. per mo. (User/hr billed)
    $0.133
    Data ingested: First 100GB free. Billed per 100MB
    $0.03

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law. New Relic may suspend or terminate the Services, in addition to other rights and remedies, if fees are past due. The products selected by you in this ordering documentation are deemed accepted upon the provisioning of the applicable products by New Relic for your use.

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    New Relic offers a variety of technical resources, including the New Relic Docs Site, New Relic University, New Relic Open Source, and the New Relic Community. Learn more about these in our Finding Help Doc (https://docs.newrelic.com/docs/accounts-partnerships/education/getting-started-new-relic/finding-help ).

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    50
    In Migration, Log Analysis
    Top
    10
    In Observability, Migration
    Top
    10
    In Generative AI, Log Analysis

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Application Performance Monitoring
    Monitors application performance metrics, traces, and errors across the entire software stack with integrated APM capabilities.
    Infrastructure and Log Monitoring
    Provides infrastructure monitoring, log management, and analysis with centralized ingestion and querying of logs alongside metrics and traces.
    Anomaly Detection and AIOps
    Automatically detects anomalies, correlates issues, and reduces alert noise using AIOps capabilities included in the platform.
    Multi-Source Telemetry Integration
    Ingests and correlates telemetry data from multiple sources including OpenTelemetry instrumentation, Prometheus OpenMetrics, AWS services, and Kubernetes environments.
    Pre-built Integration Library
    Includes over 500 quickstart integrations for rapid deployment and monitoring of common applications and services.
    Full-Stack Observability
    End-to-end monitoring of AWS applications and infrastructure from code level insights to end-user tracing with robust configuration options
    AI-Powered Root Cause Analysis
    Davis AI engine performs precise root cause analysis showing causation and correlation to drive automated remediation and reduce mean time to resolution
    Generative AI Application Monitoring
    Real-time monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with cost optimization, hallucination detection, and PII leakage guardrails
    Runtime Application Security
    Built-in Runtime Application Self-Protection that autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
    AWS Native Integration
    Out-of-the-box compatibility with 100+ AWS native technologies including EC2, Lambda, ECS, EKS, Fargate, Bedrock, and EventBridge for correlated event and performance analysis
    AI-Powered Root Cause Analysis
    Automatically investigates alerts and pinpoints root causes with 5x faster analysis capabilities.
    Natural Language Query Interface
    Enables querying of observability data using conversational natural language to identify issues and receive actionable insights.
    Real-Time Anomaly Detection
    Detects system anomalies in real-time to prevent incidents before they impact users.
    OpenTelemetry Integration
    Supports standardized OpenTelemetry integration for unified data collection across logs, metrics, and traces in cloud-native environments including Kubernetes, serverless, and microservices.
    Multi-Tiered Storage Architecture
    Implements multi-tiered storage and data management capabilities to optimize telemetry costs and achieve 30% to 50% cost savings.

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    -
    -
    No security profile
    -
    -

    Contract

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    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.4
    611 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    63%
    31%
    4%
    1%
    1%
    26 AWS reviews
    |
    585 external reviews
    External reviews are from G2  and PeerSpot .
    Victor Trainee

    Monitoring large scale applications has improved troubleshooting and reduced downtime

    Reviewed on Feb 05, 2026
    Review provided by PeerSpot

    What is our primary use case?

    I use New Relic  to troubleshoot my applications and look at metrics and logs to solve problems in my day-to-day work. In my daily use, my application operates at a large scale, and because of this, we need to look at the metrics to check the health of the application and monitor the movements of the applications.

    What is most valuable?

    In my opinion, the best feature that New Relic  offers is the filtering of the metrics and the logs. When we need to look at the metrics with New Relic, I can filter by the name of the application, which is very important and has helped me. With the metrics from New Relic, we can improve the performance and reduce the downtime because we can identify problems and solve them more quickly. New Relic has positively impacted my organization because it has helped improve the performance and reduce the downtime of the application.

    What needs improvement?

    I think New Relic can be more simple to use because for beginners it can be more difficult to use, so I think New Relic can improve in that aspect. There can be more improvements, and I think New Relic can be more useful, as it is hard for beginners.

    For how long have I used the solution?

    I work in my current field of software engineering for one year and five months.

    What do I think about the stability of the solution?

    New Relic is stable and reliable for me.

    What do I think about the scalability of the solution?

    New Relic has good scalability and can handle my growing needs.

    Which solution did I use previously and why did I switch?

    I previously used Datadog  before New Relic, and I switched from Datadog  because I thought it was simpler to use. In my day, I use both Datadog and New Relic along with other applications.

    Which other solutions did I evaluate?

    I evaluated other options before choosing New Relic, including Datadog, Grafana , and OpenTelemetry .

    What other advice do I have?

    One relevant metric I appreciate is the metrics of the helpful applications and the performance metrics from New Relic. My advice to others looking into using New Relic is to study and construct your metrics with good patterns. I would rate this review an 8.

    Internet

    NewRelic Traces Make Diagnosing and Fixing Issues Fast

    Reviewed on Feb 03, 2026
    Review provided by G2
    What do you like best about the product?
    As a boots-on-the-ground feature developer, I find NewRelic very helpful for diagnosing issues, pinpointing their exact causes, and resolving them ASAP.

    The application traces help you to pinpoint exactly where you need to be looking in your code, rather than fumbling around with complex logs or arcane error messages.
    What do you dislike about the product?
    NewRelic is a massive platform, and its interface can be a bit overwhelming. I also think the search functionality is a bit limited – you can only search on certain attributes, and sometimes they aren't what you expect.
    What problems is the product solving and how is that benefiting you?
    New Relic is my main tool for helping to debug production issues with our code.
    Palak Bhawsar

    Proactive monitoring has protected critical APIs and supports real‑time observability goals

    Reviewed on Feb 03, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I used New Relic  for instrumenting logs and designing different dashboards for a telecommunication company. During iPhone launches, I monitored all orders, how many orders were sold, what iPhone models had been sold, and the quantities. I used New Relic  to keep the status of all of this information, and I also used New Relic for synthetic monitoring.

    New Relic provides a really good dashboard and view, allowing me to filter by different options and different New Relic models. Everything shows how one system connects to another, how orders go to logistics, and delivery on the same screen, which really stood out to me. For synthetic monitoring, I used different APIs, both scripted and browser-based, and monitored them. Whenever any API goes down, I get notified instantly, which is a great feature.

    I use New Relic for webhooks, setting up notifications using webhooks and getting notified in the Teams channel directly.

    What is most valuable?

    Synthetic monitoring and reactive monitoring are the best features that I found in New Relic. Using a simple Node.js script, I can monitor different APIs in production every one minute, two minutes, or five minutes. I don't have to monitor reactively but proactively, and the agent makes a call to my API every five minutes, allowing me to know when my API is down and helping with production downtime.

    Proactive monitoring definitely impacts my team's workflow and production reliability. There was an instance when we had a very critical API that I monitored using proactive monitoring and synthetic monitoring, and it went down for a few minutes. I got notified in my Outlook, so I notified the dedicated team for that, and they fixed the issue even before the customer noticed, saving us a lot.

    New Relic has positively impacted my organization by helping with our observability goals. We had 20-25 goals to have observability in place, and New Relic was a great tool to achieve that goal through creating dashboards, setting up synthetic monitoring, and different kinds of alerts. New Relic helped us achieve those observability goals by significantly saving downtime. Whenever an API is down, we get notified instantly and take actions, which saves us from downtime, and alerts definitely help us to take action quicker, even before the real customer notices any issues.

    What needs improvement?

    New Relic can be improved in a few areas. I noticed that some things can be easily done through Splunk but not through New Relic. For example, creating dashboards in Splunk allows you to instrument different kinds of data and API logs and scrape the data to create a dashboard. For New Relic, you have to use different accounts, so when tracing any API call, you have to move from one system to another, which are all in different accounts. You would need different account access to see end-to-end tracing, whereas in Splunk, you can see everything in one place.

    For how long have I used the solution?

    I used New Relic in my previous job for about a year.

    What do I think about the stability of the solution?

    New Relic is stable.

    What do I think about the scalability of the solution?

    New Relic's scalability is good.

    How are customer service and support?

    The customer support for New Relic is good. I would rate the customer support on a scale of one to ten as a nine.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    We previously used Splunk and needed to explore New Relic for synthetic monitoring, so we moved to New Relic.

    How was the initial setup?

    We did not purchase New Relic through the AWS Marketplace .

    What was our ROI?

    I have seen a return on investment, specifically in terms of time saved.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing for synthetic monitoring is that minions used to cost a lot and we cannot set an unlimited number of synthetic monitoring.

    Which other solutions did I evaluate?

    Before choosing New Relic, we evaluated OpenTelemetry , but we don't have the skills for using OpenTelemetry .

    What other advice do I have?

    New Relic is a good tool that you should utilize for monitoring your front end, back end, and different APIs. If you have any critical APIs like payment, which you cannot afford to go down, you can definitely use synthetic monitoring to monitor it and get notified in your Teams channel, Outlook, or mail. I would rate this product an eight overall.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Vignesh Natarajan

    End-to-end tracing has improved root cause analysis and provides clear performance insights

    Reviewed on Jan 29, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for New Relic  is monitoring the app performances from dashboards and tracing the API calls. For app performance, I monitor the four golden signals, the throughput, error rate, and the Apdex score. For tracing, I try to find out where there is latency and from which source the latency is coming, whether it is the network or the database call.

    What is most valuable?

    The best features New Relic  offers are end-to-end tracing of any calls and custom dashboards. Those features stand out for me in my daily work because, as an SRE and DevOps engineer, when I need to debug or find the root cause, especially when multiple teams are involved, end-to-end tracing is useful to identify the correct team and engage them further. Custom dashboards are useful to showcase high-level metrics to the leadership.

    In multiple cases, I use New Relic to debug and find the root cause, especially where network calls are involved. It is also useful for alerting when the throughput is dropping or the error rate is spiking. Time is saved in debugging and finding root causes.

    What needs improvement?

    New Relic can be improved by providing auto-completion of New Relic Query Language queries. Custom dashboards may have more templates so that I can drag and drop and create my own monitoring dashboards.

    I chose a rating of 8 out of 10 because the UI requires me to dig in and find the needed traces, and it can be more user-friendly.

    For how long have I used the solution?

    I have been using New Relic for more than seven years.

    What do I think about the stability of the solution?

    New Relic is stable.

    What do I think about the scalability of the solution?

    New Relic's scalability is good, and I can scale easily using the agents installed in my infrastructure.

    How are customer service and support?

    The customer support for New Relic is excellent.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    I did not previously use a different solution.

    What's my experience with pricing, setup cost, and licensing?

    I have a long-standing relationship with New Relic, so dedicated sales teams engage with my leadership team and we finalize the costs.

    Which other solutions did I evaluate?

    Before choosing New Relic, I evaluated other options, specifically Datadog  and Splunk.

    What other advice do I have?

    At the team level, New Relic is a good observability tool. My advice for others looking into using New Relic is that it is a great tool for monitoring your application, querying your logs, and visualizing various parameters. I would rate this product an 8 out of 10.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Ashivam Shiva

    Continuous monitoring has reduced downtime and improves issue detection with detailed log patterns

    Reviewed on Jan 28, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for New Relic  is monitoring performance. I use it to check the logs for any failure in applications, as well as checking the CPU and memory usage.

    A quick, specific example of how I've used New Relic  to solve an issue is with our SaaS applications. Sometimes an issue arises, and I need to look into our applications in the portal to see the errors. For instance, we have encountered an internal server error that prevents our applications from running. I then click on the errors to see more details and check the logs, including timestamps when the issue occurred. Recently, New Relic launched Log Patterns, enabling me to see different errors with patterns such as an error occurring 17 times in the last 15 minutes. I can use these attributes to filter by account services and agent names for infrastructure issues, allowing me to identify and fix the errors.

    New Relic helps my team by getting alerts for high CPU usage. I need to check which server it is happening on. After identifying the server, I log in, go to the task manager, and kill the particular process that consumes excessive memory. This action results in the CPU usage coming down, and due to New Relic's alert, I effectively resolve issues, ensuring our application runs smoothly.

    What is most valuable?

    In my opinion, the best feature that New Relic offers is Log Patterns, as it efficiently fetches logs for each failure I encounter. This feature has proven to be extremely useful for me.

    The Log Patterns feature helps me in my day-to-day work by identifying the number of times a particular issue reoccurs over a specified period, informing me of its frequency during that timeframe.

    I would mention that I can use various filters in New Relic, such as filtering by infrastructure, host name, and server names. Filtration is an incredibly useful feature in New Relic as well.

    New Relic has positively impacted my organization by making it easier to catch failures so I can resolve them quickly and take action. Previously, I did not receive notifications, and a person had to check constantly. Now New Relic manages this and alerts me to any issues, allowing me to take necessary actions and preserve my SLAs.

    A specific outcome showing how New Relic helped my team is that downtime has decreased by around 15 to 20 percent in my current organization while using New Relic.

    What needs improvement?

    New Relic can be improved, particularly by enhancing the UI, which is currently a bit off. Making it more attractive and interactive for customers, similar to Grafana 's UI, would be beneficial.

    For how long have I used the solution?

    I have been using New Relic for around three years.

    What do I think about the stability of the solution?

    New Relic is stable in my experience.

    What do I think about the scalability of the solution?

    The scalability of New Relic is really nice.

    How are customer service and support?

    The customer support for New Relic is really good. Whenever I reach out to them, they are helpful.

    How would you rate customer service and support?

    Which solution did I use previously and why did I switch?

    I have used Grafana  before New Relic in my previous organization. In my current organization, I only use New Relic.

    Which other solutions did I evaluate?

    I do not believe our organization evaluated other options before choosing New Relic. My director, who uses New Relic in another project, is impressed with this tool, so we likely opted for it because of that recommendation.

    What other advice do I have?

    My advice for others looking into using New Relic is that it is a really useful tool. Before starting to use it, you should refer to its user guidance documents, as they are systematically created and truly helpful. I would rate this product a 9 out of 10.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

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