Amazon CloudWatch vs. LogicMonitor vs. New Relic

For out business we find that AWS Cloudwatch is good at providing real-time metrics for monitoring and analysing the performance and usage of our platform by customers. It is possible to create custom metrics from log events, such people adding items to a basket, checking out or abandoning their orders.

Incentivized

The example I will give will explain my rating for it. One employee left our company due to a personal issue, and at that time, our team was working on a highly secure project. He wanted to take revenge on our company, so he began hacking our systems from the outside. Since it appears that someone without authorization is attempting to access our systems, LogicMonitor simultaneously alerted our team to the problem. We stopped that threat with LogicMonitor.

Incentivized

New Relic its an excellent tool for monitoring services used on the SAAS universe, like web servers, relational and nosql dbms, reverse proxies, text databases, etc. Its also a powerful tool to monitor resource usage on said servers. However, its not well fitted to monitor custom services - if you need to generate alerts based on logs or database information, for example

Incentivized

• It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
• It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
• If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.

Incentivized

• It shows us system issues right away so we can fix them fast.
• It finds new devices on its own, so we do not miss anything.
• It alerts us only when something really unusual happens.
• Its dashboards make it easy for everyone to see system health.
• It helps us see trends so we are ready for busy times.

Incentivized

• It gives us insights of applications, infrastructure, clouds very well.
• The alerting system in New Relic helps us to easily identify the root cause which reduces the MTTR.
• It has new features related to AI which helps to troubleshoot any problem in a very short time it gives future predictions also.

Incentivized

• Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
• Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
• By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.

Incentivized

• Segmentation at an instance level not just the resource when clients are sharing the same device but shouldn't see each other's relevant data
• ARM CPU support for collectors to allow for a lighter weight appliance deployment
• WMI collection with a Linux collector so a windows collector would not be needed or a virtual appliance template that can be used to deploy collectors

Incentivized

• And while powerful, building tailored dashboards with organ-specific metrics (such as energy load variance across regions) can be difficult to navigate. The UI isn't as drag-and-drop easy, and query-based widgets typically involve some trial and error for non-devs.
• Alerts may be hypersensitive or over general. I We often get a spam of non-critical alerts while doing load testing, all overhauling to me alone and making it difficult to identify actual issues especially in energy systems where spikes are very common.
• With our expanding fleet of Iot devices, the per-host pricing model is becoming expensive, quickly. More detailed billing based on microservices, or that works at sensor level, would make it more adaptable for energy platforms.

Incentivized

This product has met virtually all of our needs. It was easy to implement and has been simple to support. Customization has been intuitive with many options available. They keep adding features and expanding available options. The future of LogicMonitor looks even better than it is today which is very promising. The management and support teams at LogicMonitor are always helpful

Incentivized

The only issue that we have had with New Relic is that the price might be a little expensive for smaller companies. The amount of data you store in New Relic impacts the cost, and can get away from you if you don't work closely with the vendor. Overall though the application is top notch.

Incentivized

It's excellent at collecting logs. It's easy to set up. The viewing & querying part could be much better, though. The query syntax takes some time to get used to, & the examples are not helpful. Also, while being great, Log Insights requires manual picking of log streams to query across every time.

Incentivized

Set up is super easy. Just stand up a small Linux or Windows server to act as a collector. There are no agents to install on monitored devices and all you need is SNMP or WMI access. When creating dashboards, all you have to do is find the widget on the device you want to show up and choose the menu option to add it.

Incentivized

I have given this much rating as I am used New Relic in different sectors and for different use cases like its K8s monitoring, infra monitoring, full stack monitoring as compare to other tools New Relic gives data in a formatted and connected way, and also it is giving us value for money. It also launches new features day by day which helps users to track the issue very quickly. It also supports OTel integrations which is the latest trend of observability tools. thats why I had given this much rating to New Relic.

Incentivized

Never observed an outage

Incentivized

there are times where browser cache will cause issues that require you to clear your browser before continuing.

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Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.

Incentivized

The sales team support we received was top notch. They worked hand in hand to make sure the product met all expectations. So far we have not really had to work with support that much; we have worked with setup team after purchase to deploy product fully. No issues so far and we are four weeks in.

Incentivized

The support team has been really helpful and resolved most of the issues on time. However, for a couple of issues, several follow-ups were needed to elicit a reasonable response. The issue was deeply technical and could have been investigated only by their Architects, and bringing them into the ticket took longer than needed

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Add good training

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The training is good but room to improve

Incentivized

I did not truly dedicate myself to implementing LogicMonitor. However, I overheard the IT team members explain that "LogicMonitor is perfect for us as it has made most of the work automated, and implementation and training sessions were perfect for us." Thus, I can state that everything went smoothly with our implementation.

Incentivized

It's better to start by implementing New Relic in one project and test everything. Try to follow best recommended practices and read all the official documentation. Everything seems well tested. Then, start by installing agents to the rest of your projects and keep a close look to all logs and metrics New Relic gives you.

Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and cheaper way. Integrating Grafana with them will make it more capable Elasticsearch for log retention and querying will surpass cloudwatch log monitoring in both performance and speed

Incentivized

Basically, we did not have any idea about it and how to choose, but we asked one of our former bosses, as they were very experienced with it, so they helped us by clarifying a few things between New Relic and LogicMonitor, as they told us that if you are looking for an automated option, then there is no better option than LogicMonitor.

Incentivized

Data Dog has solutions that look more attractive, but not at their price point. We have also tried to build a solution straight from the Cloud, where our business is built, but some things are too hard to replicate. This shows that New Relic is useful and helps our efficiency.

Incentivized

Pricing seems to be getting more and more aggressive, I worry that it's going to turn into ServiceNow or SAP and everything minor feature will be an extreme cost that prices out us and our customers

Incentivized

Agent deployment is easily integrated into our workflow. Adding the agent to new servers is quick and painless

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Haven't really used it but our initial onboarding PS was disappointing. Felt like we were being told what we needed to cover as opposed to what we wanted to cover. In addition, we were pushed into using the PS in tight time frames and we were not ready to do so.

Incentivized

• Positive for alarms and alert notifications once configured/customized.
• Has upfront learning curve, and cost can increase as does the alarm activity and monitoring details you may require.
• Cost-effective for any size organization keeping with AWS and utilizing its native tools is a savings in long-term ROI.

Incentivized

• We Eliminated an on-prem monitoring tool which was in excess of 25 servers
• A decrease in time to response from our Network Operations Center resulted in a more consistent client experience
• Dynamic alert thresholds helped reduce alerting by about 10 to 15% as soon as we turned it on for volatile metrics like CPU and memory

Incentivized

• We were able to quickly identify our most time consuming APIs. In some cases we were able to bring down times for some apis from 4s to 200ms.
• We were able to identify our slowest database queries and optimize them for quicker response times.

Incentivized