New Relic Reviews

We used New Relic APM for monitoring our data.

The synthetic alert is the most valuable feature in New Relic APM. I also like the time travel feature and find traceability useful in the solution.

New Relic APM also has good response times.

In the pro licensing model of the solution, my company used the data analysis feature more and took care of more complex workloads that my team could easily track. Data analysis is another feature of New Relic APM which I found helpful.

The UX/UI design of New Relic APM could be improved. The solution currently has some slow pages in terms of loading and viewing the pages, for example, the reports. The reports and other pages take a long time to load, so if that area could be improved, especially when looking for data, it would enhance New Relic APM.

I started using New Relic APM around March of this year, 2022, until June, so my experience with it is almost a year.

New Relic APM is a very stable solution.

You can scale New Relic APM, but I expected it to be more scalable.

If you contact New Relic APM technical support during office hours, then the team is responsive, but sometimes, it's delayed, especially when you contact support during offline hours. New Relic APM support is limited, so I'd rate this area as three out of five.

I used Dynatrace before using New Relic APM, but that was in my past organization. I switched to New Relic APM because I moved to another organization. I also use Datadog, but mostly, it's New Relic APM that I'm using.

In my current organization, I did some POCs, but not effectively, so I've only used New Relic APM and no other solutions, at least in the organization I belong to now.

I used to handle the New Relic APM setup process more for algorithms, mainly writing algorithms to define the rules for better tracking. I focused on the time travel, traceability, and other valuable features of the solution, primarily monitoring and not the initial setup for New Relic APM because the IT team took care of that process.

On the part I handled, the process was seamless, and there was nothing complex about it, but it could be because I asked for help from the IT team. The process was average. It wasn't very smooth and wasn't very complex either, so neutral.

The initial setup for New Relic APM, which was done by the IT team, took more than a day.

The IT department took care of deploying New Relic APM. The implementation was in-house, and New Relic gave my company a server similar to a one-of-a-kind setup tool that you can install within half a day.

The IT department handles New Relic APM licensing, but the solution is priced reasonably. I'm actively using the mobile monitoring function of New Relic APM, and it's one of the best products for me because it's economical, so anyone can easily pick it over other solutions and use it. It has basic features.

My company went for the New Relic APM sixty-day free trial, so there was a limitation to the number of people that could use the product. It only allowed twenty-one users maximum.

New Relic presented New Relic APM pricing and packages very well. For example, there's silver and platinum, and each package was easy and more economical than other tools. In this context, I'd recommend New Relic APM because of its reasonable price and package.

My company initially used the standard New Relic APM package, and by the end of the month, it moved to the pro model, which had low, flexible pricing.

I was into this Dynatrace, a monitoring tool in my previous organization, but not now.

I'm now using New Relic APM at an organizational level rather than a personal level.

New Relic APM has an on-premise deployment; though my company planned to deploy it on the cloud, it wasn't successful, so another solution for cloud deployment is now being tested from AWS.

As New Relic APM is one of the best solutions in the market, my rating for it is eight out of ten. I didn't give it a ten because of the support, reporting, and UI/UX that need improvement.

I'd recommend the solution even to startups or novices planning to do some monitoring, and in the future, New Relic APM could compete with similar tools used by the experts.

At the moment, nine people, mostly software engineers, use New Relic APM within my organization. The software engineers get the alerts from the product.

New Relic APM requires maintenance by a minimum of three resources, and it would depend on the requirements, tools, and features. For example, my company currently uses three New Relic APM platforms, web, mobile, and desktop.

My company is just a user, not a partner of New Relic APM.

We use New Relic APM to gather performance monitoring metrics such as thread count, CPU, response time, JVMs, and DB connectivity. New Relic APM is an observability tool.

To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you get the overall response time, which is pretty helpful for developers and ADR techs looking into issues on a deeper level.

New Relic APM is a very good, tailor-made solution.

Documentation could be improved in New Relic APM, so users would have more clarity on configuring the dashboard. If New Relic gave better guidelines, users would find it easier to understand the metrics and features of New Relic APM.

Another area for improvement is integration with Kubernetes. Currently, the process isn't user-friendly. It's challenging and lacks documentation for users to understand how to integrate New Relic APM with Kubernetes quickly. With multiple levels of Kubernetes dockers and other DBs on different clouds, it's tricky to gather all into New Relic APM on a single dashboard.

What I'd like to see in the next version of New Relic APM is a single dashboard where you can easily view which applications fall under specific APMs. If there's a search feature where you can type in a keyword to find out if an APM is related to a particular application, that would be great.

I've been using New Relic APM for four years now.

New Relic APM is a stable solution, and I've never seen any outages from it.

New Relic APM is a scalable solution.

Support for New Relic APM is up to the mark, mainly because I belong to a big organization with dedicated email and Slack support. The support team gives clarifications about usability and configurations. I'm giving New Relic APM support a five on a scale of one to five.

My company also uses AppDynamics and Datadog for some of the applications, but those will be moved entirely to New Relic APM, as the tool is very user-friendly and has no lags. AppDynamics, on the other hand, has some delay, and you have to inject some methods in writing applications to gather the metrics. Performance-wise, New Relic APM is better and doesn't cause a high response time compared to other solutions.

Other teams handle the installation and configuration for New Relic APM.

I'm unaware of how much the license for New Relic APM costs.

My company is currently using New Relic APM.

Over a thousand people from different teams use New Relic APM within the company. My company currently has two hundred to three hundred applications, so even if New Relic APM is used occasionally, because of the number of applications it's being used on, usage of the tool could result in almost daily usage.

As New Relic APM is user-friendly, it's a tool I can recommend to others, but before making the purchase, you should utilize the free trial version, and also look at the sample dashboards provided by New Relic, which you can show to the customers to better explain how the dashboards look and what New Relic APM is used for.

My rating for New Relic APM is eight out of ten, as there's always space for improvement.

My company is a customer of New Relic APM.

We use it to monitor servers. It's just a log in New Relic. I set the start and end times, and then I just pull down the server metrics.

It's not the New Relic APM, it's just the New Relic. There is the one that is New Relic, and then is New Relic APM. It's a bit confusing.

Normally when I use it, it takes me 20 minutes to pull all the data, and I use it maybe once or twice in a month.

We would run a low test, and then after the test, we would log into New Relic and then look at things, including: what are the top five slowest interactions on the servers? What are the slowest database calls? Then, we just pull the graphs from New Relic, and then we give it to the customer and show them here are the calls are being made the most, and that correlates to a slow response time. Then they'll be able to focus on it and try to maybe fix it.

There's another user on our team that sets up the list of servers that need to be monitored. You just click on those servers and then from there you can pull all the data, so that's really helpful. You don't have to go through a list of 500 servers. You click on one server, and it brings up ten servers that are in that environment. You don't have to choose those same ten every time. Instead, you just click on that one link. You just have to click on the name of the group you want to look at, and it'll pull metrics for those same ten or 15 servers each time. That's very helpful.

The customization of the start and end time is kind of cool.

It's stable. 

The solution can scale. 

One of the metrics is total time. I would like to see the true response time of a particular call. It might say top five slowest calls. However, I don't know how they're calculating it. Maybe if they could have documentation for how those things are calculated, that would be a lot easier. If they say the top five slowest methods and the slowest one is three seconds, yet we know that there's a process that's taking ten seconds, it can be kind of confusing. If they could add in their help files, how these columns are calculated, that would make it more transparent. They need to clarify: What does it mean, total time? And how do they calculate the total time? How do they calculate average time? How do they calculate the top five slowest? What is it actually pulling?

I would like to see them introduce integration with LoadRunner; that's a bit easier.

I've used the solution for six to eight months. 

It's a very stable product. Overall it's a good product.

We have eight or ten people using the solution at this time. It is used occasionally, once or twice a month, just to pull out the data for the server monitoring and for the reports.

The solution can scale well. 

I've never called New Relic support. I never really needed to.

I'm also aware of Dynatrace. In Dynatrace, they have an integration with LoadRunner. You just have to add one or two lines of code in LoadRunner, and it will integrate with that, which is really good. 

New Relic doesn't have the option of integration with LoadRunner.

I did not install New Relic. By the time I was put on the project, it had already been installed.

They just let me know the ID and password, and I just logged in, and that was it.

As far as pricing goes, I heard that they charge per user ID. If we have ten people with ten IDs right now, if we want to add another five more, they'll charge us for each ID, so that is something that is maybe a concern. I actually heard this from one of their competitors. I've heard Dynatrace say that New Relic's pricing model was very expensive, so that would be a concern.

I'm not sure of the exact price of each user ID.

My organization is a customer of New Relic. 

I'd rate the solution eight out of ten. If it had better, easier integrations, I'd rate it higher. 

I use New Relic for monitoring and observing the entire environment. It offers end-to-end monitoring and observability to predict potential impacts in the coming weeks. For instance, it can detect if two endpoints start consuming more bandwidth than usual, thereby providing more insights about potential impacts on the environment.

New Relic helps us maintain and shape the environment from a network perspective by providing end-to-end monitoring and observability. It offers insights into normal and peak behaviors, alerts us to any issues, and assists with remediation plans.

The APM feature is highly valuable as it can record session hosts, usage, and diagnose customer behaviors. Additionally, we can simulate user actions to assess the user experience. The alerting capabilities are also efficient, sending emails and desktop notifications, and providing remediation options.

The pricing could be improved as it is quite high relative to what is offered. The cost versus performance efficiency could be better. Apart from that, I don't need any specific improvements to the features themselves.

I have been working with New Relic for over one and a half years.

New Relic is highly stable. I have never experienced an outage or any misbehavior with this solution.

New Relic offers high scalability. It is quite flexible and can scale according to our needs.

The technical support team for New Relic is good. I would rate them a nine out of ten.

Positive

Before New Relic, we did not use any specific solution for observability. We used normal monitoring tools.

The initial setup of New Relic is super easy and straightforward. It involves proposing the solution to the client, activating administrative users, and customizing dashboards and alerts based on customer needs. Training and preparation made the process smooth and efficient.

The deployment typically requires two to three tier-one or tier-two team members from the technical team.

The pricing is relatively high. It can be quite costly compared to the performance efficiency, making it not very value for money, especially for smaller businesses.

We evaluated several other options like Datadog. However, after comparing prices and support, we chose New Relic.

Do not implement New Relic until you have identified your needs and ensured that it meets your specific requirements. Proper assessment and planning are crucial.

I'd rate the solution eight out of ten.

I'm working with a banking client. Apart from a uniform monitoring platform experience, they are looking for a solution that is scalable and also ready for cloud services monitoring and container-based workloads.

NewRelic provides a one-stop shop monitoring solution for organizations that are looking for 360 degree monitoring solution. Application, Infrastructure, Network, Database, Enduser monitoring, Mobile everything under one roof. Apart from that, as per Gartner Magic quadrant, NewRelic is among the top leaders.

The one thing that I like the most is the tight integration between different layers like APM, Infrastructure, Logging etc.. I don't have to go to a different UI to view different metrics. Secondly, health maps and service maps helps to evaluate the overall health of all the applications and any dependencies.

With Insights, I can create some powerful impactful dashboard that gives organization the business value they expect from the data collected from different data sources 

The solution needs some sort of improvement on the synthetic monitoring site.

The product has good documentation for Linux, however, their documentation for Windows is lacking substantially. It's something they need to develop and mature over time.

It would be great if it had out of the box integration with AWS, GCP, and other clouds. For example, if I'm using BigQuery in GCP, I want the data that I am executing in BigQuery to be reflected in New Relic. 

I'm working for a client where I'm proposing NewRelic solution to them. They have been looking for an intelligent monitoring solution that can provide a uniform monitoring platform experience to monitor application performance, infrastructure, end-user experience where NewRelic is the best fit.

The solution is quite stable. We don't have any issues there. There aren't bugs or glitches. It doesn't crash. It's reliable.

The solution is both scalable and fast. We have no complaints about it at all in that regard.

It's multitenant on the cloud which helps make it very easy to expand as needed.

I've found technical support to be pretty good. They accept the new feature ideas quite readily and their SLA is also very good.

I kind of have worked on different tools, but then no one has provided a unified solution. I've worked on ELK, Sumologic for centralize logging specifically. I've also worked with Splunk.

AppDynamics also provides these features, but I have not explored AppDynamics so much.

The solution is straightforward to set up. It's not a complex implementation. They are more compatible on Linux side of things, however. 

They need to provide more documentation for Windows. For example, I was trying the New Relic logs feature yesterday, and they have very good documentation for Linux, and can explain quite well how to do log forwarding on Linux. Then, for Windows, they do not have that specific documentation. I was stuck and I haven't worked on it today due to this lack of documentation. 

The pricing is reasonable. APM is a bit on the higher side, however, their service offering is quite good.

The solution is more mature than a lot of options on the market. If a company is looking for something that offers a unified scalable solution where they can monitor everything in one place, then NewRelic is definitely the option they should look out for.

I'd rate the solution eight out of ten.

The primary use case is for synthetic monitoring of all the APIs. It helps to detect if any APIs are failing before a customer detects an issue.

The solution was deployed on cloud.

There were 15 people using this solution. They worked on the configurations and setting alerts for new environments and customers. The solution was used on a daily basis.

At my previous organization, they were planning to replace New Relic with Google Apigee. That was only to be done in conjunction with the cloud migration from the in-house hosted apps.

One valuable feature is that the synthetic alert stays open until the issue is resolved. You can actually monitor whether your system is back up.

I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment. Only the read APIs are called from New Relic, not the write APIs. If we had a test account to do the write part of it, it would give us better monitoring. For example, if we are selecting the data for an existing account, we can do that part of the monitoring with New Relic.

When we see failures and slowness, I would like there to be an option to do a deep dive into a collection of metrics to show the bottlenecks. It would be helpful if it didn't just state the problem, but indicate the areas to look at for a deeper resolution of the problem.

I have used this solution for three years.

It's mostly stable.

It was scalable.

Technical support is responsive, but you need to create a support ticket with the right priority, which is based on certain questions that they ask. If it's created with the right priority, they will respond. If your ticket is created with a lower priority, they will respond on the next business day.

I would rate technical support as five out of five.

I have also used AppDynamics to show us the time that the APIs were at a certain level, like the database level or application level. I think New Relic has started implementing the ability to trace transactions to that level, but I don't know if that feature was well developed because I didn't use it a lot in New Relic. 

In Apigee, for example, they monitor a certain percentage of the transactions to show where the bottlenecks are.

The supportability in AppDynamics is good.

Setup was pretty smooth. I wasn't involved in initial setup, but for newer customers and installations, setup wasn't very cumbersome.

Initial setup was done by New Relic, but we did later installations ourselves.

The pricing is fine.

I would rate this solution as nine out of ten. 

My advice is to have a project plan in terms of what you want to monitor. You can monitor various micro-services, but you probably want to restrict the monitoring to what exactly impacts the customers. Have a plan for implementation, the components you want to monitor first, the components you want to monitor later, and an automation strategy for synthetic monitoring. For example, for the right APIs, think about whether you can have monitoring using synthetic accounts.

We have our current parameters and our current dashboards. Our main purpose is to continue to migrate and get the same metrics in New Relic. We will prepare another secondary dashboard between the parameters. And we will do a lot of monitoring on it as it is mainly used for monitoring purposes.

The monitoring so far has been good and we are happy with it. 

I haven't come across any features that are lacking. 

I've only used the solution for two or three months. 

It's very stable. We have currently around 150 GB of data that we are going to analyze. Almost each and every day around 75 to 80 GB is analyzed. We haven't had issues with the volume or with bugs or glitches. 

The solution scales well. 

London mostly handles any troubleshooting. I don't have to worry about reaching out to technical support. we do have the documentation we can reference, however, if we do need assistance. 

I've used Stackdriver in the past. However, it doesn't work well, with, for example, virtual machines.

The initial setup was done by our London team. I wasn't involved in the process and don't have any real details about how it went. 

I'm not sure if any ongoing maintenance is needed.

While it's my understanding that our in-house London team handled the implementation, I can't say if they needed help or recruited consultants or integrators to assist in the process. 

While we do pay for the solution on a monthly basis, I can't speak to the exact cost of the product. There might also be some additional costs on top of the licensing, however, I can't say with certainty. 

I'd recommend companies try it out and see if they like it. 

I would rate the solution eight out of ten. We've been happy with it so far. 

We are monitoring our server database to see if there are any anomalies or problems with the servers and databases.

Since we migrated from on-premise solution to the cloud (AWS), we have migrated somethings into Lambda API Gateway and DynamoDB. We have also done the New Relic integration with Serverless AWS, which has helped us with monitoring, and keeping our monitoring from our on-premise part with the cloud part.

• The alerting system
• The integration of API Gateway with Lamda and Serverless AWS.

We are sharing different AWS accounts, and if a Lambda has with the same name but a different AWS account, it is a little hard to understand whether AWS or Lamda belongs to that account. Also, we have multiple accounts on the drop down to filter by Lambda, but we see two Lambda with the same name, then we don't know which one to choose. So, it needs to improve its filtering.

We would like a more sophisticated filtering for the Serverless AWS pieces.

We have not had an issue with stability, so we are happy with it.

For all the features that they have and for the amount of data that we feed them, it handles the stress well. 

We run 20 web servers, 500 Lambdas, and 50 DynamoDB tables. We also have an enterprise SQL Server with different instances along with MySQL databases and mobile applications.

I would rate the technical support an eight out of ten.

We were previously using Datadog. At the time of the switch, both companies were closely related product-wise, and some of our company was already using New Relic. We also chose it because the monitoring tool and alerting system fit our needs.

The integration and configuration of this product in our AWS environment needs improvement on the filtering part. I would like it to go more granular on accounts. There is also some room for improvement on the integration with Serverless AWS.

Because of budget, we are not using the mobile app part of this tool.

New Relic has been in the business for a while. It offers a wide selection to attach a monitoring mobile app, server, and cloud. If you want to go with just one product, it fits all your needs.

We were using the on-premise version before going to cloud. So, we were using it on the physical data center, then we migrate to cloud and started using it with AWS. We haven't seen any different between the two products. We have been able to monitor in both.