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

AppDynamics vs Nagios vs New Relic

OverviewDecisionsComparisonAlternatives

Overview

New Relic
New Relic
Stacks22.7K
Followers8.7K
Votes1.9K
AppDynamics
AppDynamics
Stacks306
Followers629
Votes68
Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38

AppDynamics vs Nagios vs New Relic: What are the differences?

Introduction

Key differences between AppDynamics, Nagios, and New Relic are outlined below.

  1. Monitoring Approach: AppDynamics focuses on application performance monitoring and provides detailed insights into the performance of individual components, transactions, and user experiences. Nagios, on the other hand, is more infrastructure-oriented, monitoring servers, network devices, and services with customizable alerts. New Relic combines both these approaches, offering application monitoring along with infrastructure monitoring for a comprehensive view of the entire stack.

  2. Ease of Use: AppDynamics is known for its user-friendly interface and intuitive dashboards, making it easy for users to quickly identify performance issues and drill down into detailed metrics. Nagios, while powerful, requires more configuration and setup, making it less user-friendly for beginners. New Relic strikes a balance between the two, offering a straightforward setup process with customizable options for advanced users.

  3. Scalability and Flexibility: AppDynamics is designed for scalability, allowing organizations to monitor complex, distributed applications with ease. Nagios can also be scaled, but may require more manual configuration and management. New Relic offers auto-scaling capabilities, dynamically adjusting monitoring resources based on application needs for increased flexibility.

  4. Alerting and Notification Features: AppDynamics provides customizable alerts and proactive notifications to help teams identify and resolve issues before they impact users. Nagios offers extensive alerting options but may require more configuration to set up advanced notifications. New Relic includes built-in alerting with the ability to set thresholds for different metrics and receive notifications via multiple channels.

  5. Integration Capabilities: AppDynamics has robust integration capabilities with popular tools and platforms, allowing for seamless data sharing and workflow automation. Nagios offers a wide range of plugins for integration with various systems and applications, but may require more manual setup. New Relic also supports integrations with third-party tools, providing flexibility for organizations to connect their monitoring data with other systems.

  6. Cost and Licensing: AppDynamics typically offers a subscription-based pricing model with different tiers based on features and scalability requirements. Nagios, being open-source, is free to use but may incur costs for enterprise support and advanced features. New Relic offers a mix of subscription-based pricing and a free tier for basic monitoring, with additional charges for advanced features and expanded capabilities.

In Summary, the key differences between AppDynamics, Nagios, and New Relic lie in their monitoring approach, ease of use, scalability, alerting features, integration capabilities, and cost considerations.

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Advice on New Relic, AppDynamics, Nagios

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M
Comments
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

Detailed Comparison

New Relic
New Relic
AppDynamics
AppDynamics
Nagios
Nagios

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.

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

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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
End User Monitoring;Real-Time Business Transaction Monitoring;Visualize & Manage your Entire Application;Detect Business Impact and Performance Spikes;Isolate Bottlenecks in your Application;Identify Root Cause with Complete Code diagnostics;Kickass for Business: Reports;Kickass for Ops: Dashboards;Kickass for Dev: Agile Comparison
Monitor your entire IT infrastructure;Spot problems before they occur;Know immediately when problems arise;Share availability data with stakeholders;Detect security breaches;Plan and budget for IT upgrades;Reduce downtime and business losses
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
57
GitHub Forks
-
GitHub Forks
-
GitHub Forks
38
Stacks
22.7K
Stacks
306
Stacks
811
Followers
8.7K
Followers
629
Followers
1.1K
Votes
1.9K
Votes
68
Votes
102
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
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Easy Setup
Cons
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
Pros
  • 53
    It just works
  • 28
    The standard
  • 12
    Customizable
  • 8
    The Most flexible monitoring system
  • 1
    Huge stack of free checks/plugins to choose from
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
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
RightScale
RightScale
CloudBees
CloudBees
HP Cloud Compute
HP Cloud Compute
Boundary
Boundary
PagerDuty
PagerDuty
No integrations available

What are some alternatives to New Relic, AppDynamics, Nagios?

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!

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

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

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