
Overview
New Relic Solutions [DSOR] combines the benefits of the Private Offer feature along with Carahsoft's contract vehicles in providing customers a seamless acquisition process for their cloud-based products and solutions from AWS Marketplace.
Real, actionable insights into your stack: Correlate issues across your stack. Debug and collaborate from your IDE. AI assistance at every step. All in one connected experience - not a maze of charts.
Dashboards, alerts, and integrations all in one place: Our Instant Observability quickstarts bundle everything you need to start monitoring like a pro right out of the box.
Troubleshoot infrastructure before. Not after: Find root cause faster. Correlate infrastructure health with performance and customer impact on one platform.
Quickly integrate with hundreds of tools and open standards: Integrate easily with leading cloud providers. New Relic is committed to open standards, open instrumentation, and the open communities that support them.
This listing is for Private Offers ONLY. Please reach out for more details. Thank you.
Highlights
- Monitor, debug, and improve your entire stack.
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
New Relic | New Relic per User. Data Charges not included. | $6,588.00 |
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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.
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Customer reviews
Intelligent monitoring has reduced incident toil and has automated root cause analysis
What is our primary use case?
My day-to-day activities in New Relic include infrastructure monitoring, APM monitoring, browser monitoring, and database monitoring. In cloud environments, I monitor multiple clouds like AWS , GCP, and Azure . The features I use inside New Relic include alerts, service levels, parsing rules, dashboards, workloads, and muting rules.
Recently, I received an alert for a login failure in my application, so I went to New Relic and checked where the issue was. Since we have set up complete distributed tracing of that particular journey and introduced custom correlation IDs for all the journeys, whenever we get any error or transaction, we obtain that particular correlation ID for that transaction. That correlation ID is unique for all transactions, so when I got that login error during my recent troubleshooting, I checked the alert in New Relic to understand why it was triggered. We discovered an internal server issue by examining the logs in New Relic and troubleshooted that issue effectively.
The main use cases with New Relic include browser monitoring and cloud services monitoring. In cloud services monitoring, we are using Lambda functions from AWS , and from Azure , we are using APIM, app gateway, and Azure functions. We use New Relic to monitor those particular resources to identify where we are encountering issues and what challenges we face. The recent features that New Relic has launched, including AI agent integration, are very helpful for faster troubleshooting, allowing us to easily diagnose the root cause of any incidents. I am looking forward to that particular feature in the future.
What is most valuable?
The features that performed very well include custom visualization in New Relic, which allows me to create a dashboard tailored to our specific needs. There are no restrictions on charts, and by using React, I can easily create those types of dashboards. New Relic has also introduced a good feature for Agentic AI integration, and they have launched the One App integration. This integration allows different types of applications within a cluster to be included in the form of APM . Additionally, a new feature launched troubleshoots issues automatically; for example, when I received an alert for my EC2 machine usage reaching ninety percent, I got a notification in my Slack channel, and by giving a thumbs up, New Relic's SRE agent connects with the AWS Bedrock agent to troubleshoot automatically and scale up the EC2 machine without manual intervention. These features of New Relic stand out significantly.
The AI integration helps us in different ways, particularly in root cause analysis (RCA). I was using the AI RCA feature in New Relic's incident tab, which provides a button to generate RCA by checking details of past events related to that particular incident. This allows me to easily identify issues and troubleshoot them. For instance, after integrating my EC2 machine with New Relic, I received an alert at two a.m. for memory usage reaching eighty percent. After receiving that alert in my notification channel, I enabled the AI agent to provide a complete RCA and solution for the issue. Once I approved the suggested solution, the AI agent automatically scaled up my EC2, allowing me to troubleshoot the issue efficiently without further intervention. Using these New Relic features significantly reduces our mean time to detect (MTDD) and mean time to resolution (MTTR).
Other features include the custom visualization capability, which allows us to better visualize our data. The default dashboards in New Relic have a limited number of widget types, so for specific visualizations such as spider maps, I cannot create that with the default widgets. Thus, the custom visualization feature is very helpful for that. New Relic has recently launched NR Lens, which allows querying data from different sources; previously, New Relic only provided access to data within their database (NRDB), but now we can query data from platforms such as Google Sheets. Integrating various platforms with New Relic simplifies the data querying process, and there are excellent Agentic integrations with notification channels such as ServiceNow , enabling easy communication with New Relic AI. These are powerful features of New Relic.
What needs improvement?
I have noticed discrepancies between New Relic's documentation and Terraform resources. For example, there have been instances where new features launched in the New Relic UI have not been updated in the Terraform provider. Improving the synchronization between the UI and Terraform would be very beneficial for us.
I would also point out that the query section within the UI has slowed down in response times over the past few months. Previously, querying anything in New Relic provided quicker results, so reducing the time taken to provide query results would be helpful for everyone.
For how long have I used the solution?
I have been using New Relic for three plus 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?
Regarding New Relic's scalability, it excels at the enterprise level for cloud integrations that can utilize tags. However, for other integrations such as APM or Kubernetes , it is less scalable as each application requires its own agent for integration.
How are customer service and support?
The customer support experience was good, with faster troubleshooting provided by New Relic's support team.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
What was our ROI?
We observe a return on investment with New Relic. Previously, we needed more manpower to troubleshoot issues and determine exact RCAs, which consumed both time and money. After implementing New Relic, we have decreased staffing requirements while saving time and money.
Which other solutions did I evaluate?
I evaluated other options, including Datadog , Dynatrace , Coralogix , Grafana, Prometheus, Azure Monitor , and AWS CloudWatch.
What other advice do I have?
Compared to other observability competitors, New Relic offers better pricing for their features, and the user interface is user-friendly.
Using New Relic, we can showcase business KPIs data and compare it with trends from the last month or year. We can easily check whether our business performance is declining, stable, or improving, as well as the revenue generated from our website. New Relic allows us to analyze this data efficiently if we are sending it to their platform. Additionally, it has a wide range of integrations with third-party platforms, major clouds, and multiple backend languages.
My advice for others considering New Relic is to focus on cost, as it is competitive compared to other options. I would also recommend the excellent features New Relic provides within this price range, such as the Agentic AI feature, SRE agent capabilities, custom dashboards, and custom visualization, which help in proactivity regarding alerts and awareness of potential issues. I would rate my overall experience with New Relic a nine out of ten.
Monitoring large scale applications has improved troubleshooting and reduced downtime
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?
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.
Proactive monitoring has protected critical APIs and supports real‑time observability goals
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?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
End-to-end tracing has improved root cause analysis and provides clear performance insights
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?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Continuous monitoring has reduced downtime and improves issue detection with detailed log patterns
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.