

New Relic and Amazon CloudWatch compete in the application performance monitoring sector. New Relic is recognized for developer collaboration and detailed transaction monitoring, while Amazon CloudWatch is preferred for its integration with AWS, offering robust infrastructure monitoring.
Features: New Relic offers real-time performance insights, comprehensive application metrics, and facilitates DevOps strategies, which are advantageous for detailed monitoring. On the other hand, Amazon CloudWatch seamlessly integrates within the AWS ecosystem, excelling in infrastructure monitoring with strong support for logging and alerts, making it ideal for AWS-hosted environments.
Room for Improvement: Improvements for New Relic include pricing structures, data privacy, and detailed reporting. There is also a call for better error tracing, more cloud services integration, and enhanced mobile support. For CloudWatch, users request better integration with hybrid environments, advanced analytics, more intuitive user interfaces, and improved dashboard functionality and reporting capabilities.
Ease of Deployment and Customer Service: New Relic is appreciated for its smooth installation process and proactive customer engagement. Its support is noted for being efficient. CloudWatch benefits from its AWS-native integration, offering efficient responses, though users seek enhancement in multi-cloud support.
Pricing and ROI: New Relic's pricing is seen as high, with strong functionality but sometimes questionable ROI. CloudWatch's pay-as-you-go model is praised for being cost-effective when managed within AWS environments, though ingesting large data volumes can lead to cost increases.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
There is return on investment because since we reduced the downtime, we can definitely save a lot of money within that period.
There is a definite return on investment for New Relic, as we would not have invested in building its infrastructure if there were no returns.
One of the metrics that helped as a return on investment was the ability to detect issues faster and troubleshoot more quickly, which in turn helped to achieve a much better service level agreement with customers.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
If I drop an email to them, they will respond quickly to my email.
Customer support from New Relic is very good, and we rarely need to create support tickets.
They are very polite and helped him out.
It is already there as a managed service from AWS.
Amazon CloudWatch's scalability is managed by AWS.
We currently use New Relic for tens of thousands of developers and hundreds of teams within our organization, and we have not encountered any scalability issues.
It is also suitable for cloud native architectures, SaaS, or software as a service, and for high volume data ingestion also.
New Relic's scalability is good based on my experience, and it can handle my organization's needs as they grow.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
New Relic lags sometimes.
New Relic is stable based on my experience, as I have not seen any problems with the UI.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Because of the pricing model, organizations have experienced uncontrolled costs and were not able to afford New Relic.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.
If there is a CPU spike or system issues, we set alarms to notify us if the system is going down or not reachable.
I like its filtering capability and its ability to give the cyber engine insights.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
New Relic is very useful for teams that don't have much of a dedicated DevOps team but want to have observability for their platform, and it's an easy way to get started.
New Relic has positively impacted our organization by reducing errors, improving performance, and saving time.
| Product | Market Share (%) |
|---|---|
| New Relic | 4.1% |
| Amazon CloudWatch | 1.3% |
| Other | 94.6% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 71 |
Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.
Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.
What features does Amazon CloudWatch offer?Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
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