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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Amazon CloudWatch vs New Relic

Amazon CloudWatch vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214

Amazon CloudWatch vs New Relic: What are the differences?

Amazon CloudWatch and New Relic are two popular monitoring and observability tools used in the world of cloud computing. Amazon CloudWatch is a monitoring service provided by Amazon Web Services (AWS), while New Relic is a comprehensive observability platform designed to help organizations monitor and analyze application performance. Here are the key differences between them:

  1. Data Sources: Amazon CloudWatch primarily focuses on monitoring AWS resources like EC2 instances, RDS databases, S3 buckets, etc. It captures and analyzes metrics, logs, and events from these resources, providing insights into their health, availability, and performance. On the other hand, New Relic has extensible support for multi-cloud and hybrid environments, allowing businesses to monitor not only AWS resources but also on-premises, other cloud providers, and third-party services. It provides a broader range of integrations and can collect data from various applications, services, and components.

  2. Alerting and Notification: Amazon CloudWatch offers basic alerting features, allowing users to set up alarms based on predefined thresholds for metrics. When the alarm state is triggered, an alert can be sent via various notification mechanisms, including email, SMS, and Amazon SNS. In contrast, New Relic provides a more advanced and flexible alerting system. It supports complex conditions, dynamic thresholds, multiple notification channels, and integration with popular incident management tools like PagerDuty and Slack. New Relic's alerting capabilities enable more fine-grained control over monitoring and alerting workflows.

  3. Dashboards and Visualization: Both Amazon CloudWatch and New Relic offer customizable dashboards for data visualization and analysis. However, New Relic provides a more user-friendly and intuitive interface for building interactive dashboards and exploring metrics. It offers powerful charting capabilities, pre-built visualizations, and drag-and-drop functionality. Additionally, New Relic provides out-of-the-box dashboards and curated views for various use cases, saving time and effort in dashboard creation.

  4. Application Performance Monitoring (APM): New Relic goes beyond traditional infrastructure monitoring by offering comprehensive APM capabilities. It provides deep insights into application performance, including transaction traces, code-level visibility, slowest SQL queries, error analysis, and more. With New Relic APM, developers can identify bottlenecks, optimize performance, and troubleshoot application issues more efficiently. While Amazon CloudWatch has basic application monitoring capabilities, it does not offer the same level of detailed analysis and visibility as New Relic.

  5. Automation and Integration: Amazon CloudWatch is tightly integrated with other AWS services, making it easy to collect and analyze metrics within the AWS ecosystem. It seamlessly integrates with AWS Lambda, AWS Step Functions, and various other services. New Relic, on the other hand, provides extensive integration options beyond AWS. It supports popular programming languages and frameworks, offering SDKs, agents, and APIs for seamless data collection, automation, and integration with diverse environments and technologies.

  6. Pricing and Cost Model: Amazon CloudWatch pricing is based on the number of metrics, events, alarms, and logs ingested, as well as the number of API requests made. While the pricing can vary based on the specific usage, CloudWatch offers a free tier to get started. New Relic pricing is based on the types of data sources monitored and the volume of data ingested. It offers different pricing plans and tiers based on the organization's needs. While both services have pricing calculators to estimate costs, New Relic typically comes at a higher price point compared to Amazon CloudWatch.

In summary, Amazon CloudWatch focuses on monitoring AWS resources, provides basic alerting and dashboard features, and is tightly integrated with the AWS ecosystem. New Relic, on the other hand, offers broader data source support, advanced alerting capabilities, intuitive visualization, in-depth APM capabilities, extensive integration options, and a comprehensive pricing model suited for multi-cloud and hybrid environments.

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Advice on New Relic, Amazon CloudWatch

Medeti
Medeti

Jun 27, 2020

Needs adviceonAmazon EKSAmazon EKSKubernetesKubernetesAWS Elastic Load Balancing (ELB)AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k
Comments
Attila
Attila

Founder at artkonekt

Mar 24, 2020

Decided

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

471k views471k
Comments

Detailed Comparison

New Relic
New Relic
Amazon CloudWatch
Amazon CloudWatch

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

Performance Data Retention;Real-User Response Time, Throughput, & Breakdown by Layer;App Response Time, Throughput, & Breakdown by Component;App Availability Monitoring, Alerting, and Notification;Automatic Application Topology Mapping;Server Resource and Availability Monitoring;Error Detection, Alerting, & Analysis;JVM Performance Analyzer;Database Call Response Time & Throughput;Performance Data API Access;Code Level Diagnostics, Transaction Tracing, & Stack Trace Details;Slow SQL and SQL Performance Details;Real-User Breakdown by Web Page, Browser, & Geography;Track Individual Key Transactions;Mobile Features- Alerting, Summary Data, Overview Page, Topo Map, HTTP Requests, HTTP Error Summary, HTTP Error Detail, Versions, Carriers, Devices, Geo Map
Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
Statistics
Stacks
22.7K
Stacks
12.0K
Followers
8.7K
Followers
8.2K
Votes
1.9K
Votes
214
Pros & Cons
Pros
  • 414
    Easy setup
  • 344
    Really powerful
  • 245
    Awesome visualization
  • 194
    Ease of use
  • 151
    Great ui
Cons
  • 20
    Pricing model doesn't suit microservices
  • 10
    UI isn't great
  • 7
    Expensive
  • 7
    Visualizations aren't very helpful
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
Integrations
AppHarbor
AppHarbor
Cloudability
Cloudability
HP Cloud Compute
HP Cloud Compute
cloudControl
cloudControl
Papertrail
Papertrail
Loggly
Loggly
Ducksboard
Ducksboard
Blitz
Blitz
Pivotal Tracker
Pivotal Tracker
Red Hat OpenShift
Red Hat OpenShift
No integrations available

What are some alternatives to New Relic, Amazon CloudWatch?

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

Librato

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

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