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    New Relic: the Observability Platform

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    Sold by: New Relic 
    Deployed on AWS
    New Relic combines configuration monitoring and real-time health metrics with a dynamic, tag-driven approach to dashboards and alerting to easily visualize, analyze, and troubleshoot your entire AWS infrastructure including SAP.
    4.4

    Overview

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    New Relic is an Intelligent Observability Platform providing engineers with full visibility into the performance of their AWS cloud services alongside their entire stack. New Relic includes:

    • Telemetry Data Platform to ingest, analyze, and alert on all your metrics, events, logs, and traces
    • Full-Stack Observability to quickly visualize and troubleshoot your entire software stack in one connected experience
    • Applied Intelligence to automatically detect anomalies, correlate issues and reduce alert noise

    New Relic offers developers deep integration across AWS' technology stack, making it easy for technology teams to send telemetry data from AWS services into New Relic to observe the health and performance across their full AWS environment, from Amazon EKS and AWS Lambda through AWS Kinesis, Amazon CloudWatch, and AWS Distro for OpenTelemetry.

    New Relic for SAP Monitoring: New Relic offers a best-of-breed observability solution specifically designed for SAP environments to eliminate business process interruptions. It provides one-step observability across SAP and non-SAP applications with built-in, agentless SAP integration and out-of-the-box functionality that delivers immediate business value.

    Superior RISE Support: Our agentless architecture is ideal for RISE with SAP environments, offering a fast, lightweight, and non-invasive way to gain full-stack visibility.

    Choose to purchase New Relic or gain access to the New Relic free tier from the AWS Public MarketPlace at https://aws.amazon.com/marketplace/pp/B08L5FQMTG  .

    For custom pricing, EULA, or a private contract, please contact AWSMarketplace@newrelic.com  for a private offer.

    Highlights

    • Ingest, analyze, and alert on all your metrics, events, logs, and traces-in one place.
    • Quickly visualize and troubleshoot your entire software stack in one connected experience to automatically detect anomalies, correlate issues, and reduce alert noise.
    • Provide unique agentless monitoring for ABAP systems along with support for SAP RISE, ECC, S/4HANA, BTP, CALM, Fiori, Ariba, PI/PO, BW and 175+ monitoring points with insights into CPU, HANA/non-HANA databases, RFC details, backgrd jobs, and IDoc.

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    Deployed on AWS
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    Pricing

    New Relic: the Observability Platform

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    NR Platform
    NR platform with auto-billing of overages
    $100,000.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Additional overages as defined in contract and at newrelic.com/pricing
    $0.01

    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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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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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 Projects, 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 ). https://support.newrelic.com/ ; AWSMPOrders@newrelic.com 

    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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    Updated weekly

    Accolades

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    Top
    10
    In Migration, Monitoring, Continuous Integration and Continuous Delivery
    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
    Telemetry Data Platform
    Ingests, analyzes, and alerts on metrics, events, logs, and traces in a unified platform
    Full-Stack Observability
    Visualizes and troubleshoots entire software stack in one connected experience with integrated AWS service monitoring
    Anomaly Detection and Issue Correlation
    Automatically detects anomalies, correlates issues, and reduces alert noise through applied intelligence
    Agentless SAP Monitoring
    Provides agentless monitoring for ABAP systems with support for SAP RISE, ECC, S/4HANA, BTP, CALM, Fiori, Ariba, PI/PO, BW and 175+ monitoring points
    AWS Service Integration
    Deep integration with AWS technology stack including Amazon EKS, AWS Lambda, AWS Kinesis, Amazon CloudWatch, and AWS Distro for OpenTelemetry
    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
    No security profile
    -
    -

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.4
    597 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    64%
    30%
    4%
    1%
    1%
    13 AWS reviews
    |
    584 external reviews
    External reviews are from G2  and PeerSpot .
    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?

    Oleksii Barybin

    Performance testing and incident analysis have become clearer and faster with unified metrics views

    Reviewed on Jan 23, 2026
    Review from a verified AWS customer

    What is our primary use case?

    My main use case for New Relic  is for the visualization of performance tests. I use New Relic  for visualizing performance tests to understand whether the system I'm working on works as expected under a heavy load, and this is mostly related to Kafka systems. I usually send a lot of events via a Kafka topic to the system and check how many pods are available of the services, how many partitions are in use, and CPU usage.

    Beyond my main use case, I also use New Relic as an investigation tool during incidents. It is very helpful when I need to examine how some services behaved based on CPU usage and memory, which is quite helpful, especially when looking into a deep understanding of what is occurring. For example, our services are Java-based, and I need to examine how some of the Java memory areas were occupied, and New Relic provides that information.

    What is most valuable?

    In my opinion, the best features New Relic offers include its quite universal query language, which I can use quite easily and have good visualization based on that query.

    What I appreciate most about the universal query language and its visualization is mostly for understandability. The query language is quite understandable, and the problems mostly lie in understanding what data I need to pick up, not about how I need to query that data. Understanding how that works is very simple, especially regarding the query language for time series and the time frame I need to examine. The query language is quite easy to understand.

    New Relic has positively impacted my organization regarding my main area of interest, which is performance tests, and by using New Relic, I received a lot of information to improve my systems. It is very helpful for incident investigation.

    What needs improvement?

    When considering how New Relic can be improved, the only thing that could be a bit confusing is that there are many things in New Relic, and sometimes I need to know where to find some visualization and some data that is flowing to New Relic from my system. It is not obvious for newcomers to understand where to find that data and where to look for it.

    The needed improvements are mostly an issue for the company that uses New Relic. Whenever I create a new dashboard or other items, I need to document what I have done and put it into documentation. I believe that documenting is all that newcomers need.

    For how long have I used the solution?

    I have been working in my current field for about five years.

    What do I think about the stability of the solution?

    New Relic is stable based on my experience, as I have not seen any problems with the UI. However, there could be problems or hiccups with the integration with Java-based services and microservices. I have seen logs indicating that the service is not able to send the metric or custom metric to New Relic, but that is mostly due to some internal infrastructure specifics.

    What do I think about the scalability of the solution?

    New Relic's scalability is good based on my experience, and it can handle my organization's needs as they grow.

    How are customer service and support?

    I have not interacted with customer support for New Relic because I did not have a chance to do so, as there were no problems with New Relic.

    How would you rate customer service and support?

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

    Before using New Relic, I used a combination of Grafana  and a relational database, but that was an ad hoc solution for me to visualize the data that was not in New Relic. Mostly, I use New Relic if it is possible.

    How was the initial setup?

    I have a separate team for New Relic configuration and maintenance, so I do not know those details.

    What about the implementation team?

    I have a separate team for New Relic configuration and maintenance, so I do not know those details.

    What was our ROI?

    I do not know whether my organization has seen a return on investment from using New Relic, but it has definitely shortened the time of incident investigation.

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

    Regarding my experience with pricing, setup cost, and licensing for New Relic, I have the same answer. I have a separate team for handling New Relic, so I do not know the details of the deployment, pricing, and buying.

    Which other solutions did I evaluate?

    I cannot answer whether my organization evaluated other options before choosing New Relic, but I am sure they chose based on several options.

    What other advice do I have?

    I do not have anything else to add about the features, as that covers everything I wanted to discuss about New Relic.

    When sharing a specific example of how New Relic helped me improve my system and resolve an incident, there was an incident regarding a database when I examined the memory distribution in a Java machine. I quite easily examined the memory distribution during the time I had that incident and understood, based on what memory area of the Java Virtual Machine was heavily occupied, what I needed to do to optimize my service.

    I do not have advice to give to others looking into using New Relic because advice is about how the person should use it. However, it is quite simple, and I do not think that there will be any problems with that. I would rate my overall experience with New Relic an eight out of ten.

    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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