New Relic vs CopperEgg Comparison | StackShare | StackShare

CopperEgg vs New Relic

Overview

New Relic

Stacks21.0K

Followers8.7K

Votes1.9K

CopperEgg

Stacks8

Followers8

Votes3

CopperEgg vs New Relic: What are the differences?

What is CopperEgg? Cloud monitoring for your servers, websites, processes, and web applications. Continuous visibility and cloud monitoring for all your servers – hosted or private, Linux or Windows. Works great with Amazon EC2, Rackspace, or any public or private cloud.

What is New Relic? SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps. New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.

CopperEgg and New Relic are primarily classified as "Cloud Management" and "Performance Monitoring" tools respectively.

Some of the features offered by CopperEgg are:

Any Server – Cloud, Virtual, or Physical- Whether your servers are physical, virtual, on-premise, in the cloud, or a combination of these, get the server performance insight you need from any location. Supports Ubuntu, CentOS, Windows and many more.
CopperEgg cloud monitoring integrates with Chef and supports cloud server monitoring for CentOS, Ubuntu, Windows, RedHat, FreeBSD, MacOSX, and additional Linux varieties.
Real-Time Updates- Updates every few seconds to provide you with the ability to correct an issue before a catastrophe occurs.

On the other hand, New Relic provides the following key features:

Performance Data Retention
Real-User Response Time, Throughput, & Breakdown by Layer
App Response Time, Throughput, & Breakdown by Component

Advice on New Relic, CopperEgg

Medeti

Jun 27, 2020

Needs adviceon

Amazon EKS

Kubernetes

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

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

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	CopperEgg
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.	Continuous visibility and cloud monitoring for all your servers – hosted or private, Linux or Windows. Works great with Amazon EC2, Rackspace, or any public or private cloud.
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	Any Server – Cloud, Virtual, or Physical- Whether your servers are physical, virtual, on-premise, in the cloud, or a combination of these, get the server performance insight you need from any location. Supports Ubuntu, CentOS, Windows and many more.;CopperEgg cloud monitoring integrates with Chef and supports cloud server monitoring for CentOS, Ubuntu, Windows, RedHat, FreeBSD, MacOSX, and additional Linux varieties.;Real-Time Updates- Updates every few seconds to provide you with the ability to correct an issue before a catastrophe occurs.;Pay-Per-Usage- Spin servers up and down; you only pay for actual monitored hourly usage.;Installs in Seconds- See your server’s health immediately. Installs with a simple copy-and-paste.;Drill Down on Details- Easily drill down to high-resolution details of Processes, Disk IO, CPU and Network stats to get a closer look into server performance characteristics of the system.;Custom Alerts- Receive notifications immediately when thresholds are met with customizable alerts via email, SMS, PagerDuty or Webhooks.;Multi-User Accounts- Share RevealCloud server performance monitoring with other team members, or even provide restricted read-only views to customers.;One Year Data History- Gain in-depth insight into server health, load, performance and capacity so you can benchmark activity and uncover trends, with data history of up to one year.
Statistics
Stacks 21.0K	Stacks 8
Followers 8.7K	Followers 8
Votes 1.9K	Votes 3
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 2 Easy setup and instant results 1 Value for money
Integrations
AppHarbor Cloudability HP Cloud Compute cloudControl Papertrail Loggly Ducksboard Blitz Pivotal Tracker Red Hat OpenShift	Blitz GitHub HipChat Campfire PagerDuty Amazon EC2 Rackspace Cloud Servers SoftLayer Linode Chargify

What are some alternatives to New Relic, CopperEgg?

Datadog

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AppSignal

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AppDynamics

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

Stackify

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Skylight

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

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

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.

Dynatrace

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