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

Keymetrics vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
Keymetrics
Keymetrics
Stacks27
Followers28
Votes31
GitHub Stars42.7K
Forks2.7K

Keymetrics vs New Relic: What are the differences?

Keymetrics vs New Relic

Keymetrics and New Relic are two popular application performance monitoring (APM) tools that help developers and businesses monitor and optimize the performance of their applications. While both tools serve a similar purpose, there are some key differences between them.

  1. Pricing Model: Keymetrics offers a subscription-based pricing model, where users pay a fixed fee per server per month. In contrast, New Relic's pricing is based on a per-host pricing structure, which charges users for the number of hosts they monitor. This difference in pricing models allows users to choose the one that aligns best with their usage and budgetary requirements.

  2. Ease of Use: Keymetrics focuses on simplicity and ease of use, providing users with a clear and intuitive interface to monitor and manage their applications. New Relic, on the other hand, offers a more feature-rich platform with a steeper learning curve. While New Relic provides more advanced functionality, it may require more time and effort to set up and fully utilize.

  3. Integration Capabilities: Keymetrics integrates seamlessly with the popular Node.js runtime environment, providing deep visibility into the performance of Node.js applications. New Relic, on the other hand, supports a wide range of programming languages and platforms, making it suitable for monitoring applications built using different technologies.

  4. Alerting and Notification: Keymetrics offers customizable alerting and notification features, allowing users to set up alerts for specific performance thresholds or events. New Relic also provides alerting capabilities but offers more advanced options such as anomaly detection and machine learning-based alerting.

  5. Data Analysis: Keymetrics focuses on providing real-time monitoring and analytics, allowing users to quickly identify and troubleshoot performance issues. New Relic, on the other hand, offers more extensive data analysis and reporting capabilities, allowing users to dig deeper into the performance data and gain actionable insights for optimization.

  6. Community and Support: Keymetrics has a small but active community of users and provides support through an online forum and ticket-based system. New Relic, being a larger and more established APM tool, has a larger community and provides extensive documentation, online resources, and dedicated customer support.

In summary, Keymetrics is a user-friendly and cost-effective APM tool specifically designed for Node.js applications, while New Relic offers a more comprehensive and feature-rich APM platform with support for various programming languages and platforms. The choice between the two depends on the specific needs, budget, and technology stack of the user.

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Advice on New Relic, Keymetrics

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
Keymetrics
Keymetrics

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.

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.

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
Process management;CPU / Memory Monitoring;Log facilities;Load balancing / 0s reload downtime;Startup script generation;Run Next generation Javascript
Statistics
GitHub Stars
-
GitHub Stars
42.7K
GitHub Forks
-
GitHub Forks
2.7K
Stacks
22.7K
Stacks
27
Followers
8.7K
Followers
28
Votes
1.9K
Votes
31
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
    Visualizations aren't very helpful
  • 7
    Expensive
  • 5
    Hard to understand why things in your app are breaking
Pros
  • 7
    Easy Setup
  • 6
    Realtime App CPU and RAM consumption
  • 5
    Monitoring for many Apps
  • 4
    Mobile friendly
  • 4
    Alarm on Code Failure
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
Node.js
Node.js

What are some alternatives to New Relic, Keymetrics?

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.

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.

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.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

SignalFx

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

Scout

Scout

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.

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