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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AppSignal vs Scout

AppSignal vs Scout

OverviewDecisionsComparisonAlternatives

Overview

Scout
Scout
Stacks84
Followers86
Votes21
AppSignal
AppSignal
Stacks97
Followers100
Votes88

AppSignal vs Scout: What are the differences?

Introduction AppSignal and Scout are both popular monitoring tools used by developers to track and analyze the performance of their applications. However, there are key differences between the two that developers should consider before choosing one for their projects.

  1. Monitoring Capabilities: AppSignal excels in providing detailed insights into the performance of web applications, offering robust monitoring of system metrics, error tracking, and performance bottlenecks. On the other hand, Scout focuses more on application monitoring, offering customizable dashboards, anomaly detection, and in-depth transaction monitoring for better visibility into application performance.

  2. Integrations: AppSignal supports a wide range of integrations with popular frameworks and services such as Ruby on Rails, Elixir, and Heroku, making it easy to set up monitoring for different types of applications. In contrast, Scout offers integrations with tools like AWS, Docker, and GitHub, focusing on providing a comprehensive monitoring solution across different infrastructure and services.

  3. Alerting Mechanisms: AppSignal's alerting system allows developers to set up custom notifications based on predefined thresholds for different metrics, ensuring timely alerts for potential issues affecting the application. Scout, on the other hand, offers advanced alerting capabilities with features like anomaly detection and customizable alert conditions for more granular control over monitoring alerts.

  4. Data Visualization: AppSignal provides visually appealing dashboards with detailed charts and graphs for quick analysis of application performance data, helping developers easily spot trends and anomalies. Scout offers customizable dashboards with various visualization options, allowing developers to create personalized views of their monitoring data for better insights.

  5. Cost Structure: AppSignal's pricing is based on the number of tracked hosts and additional features, making it a scalable option for small to large applications with a pay-as-you-go model. In contrast, Scout offers a flat-rate pricing model based on the number of monitored servers, making it suitable for teams looking for a simple and predictable pricing structure without the need to track additional features separately.

  6. Community Support: AppSignal has a thriving community of developers and support resources, including documentation, tutorials, and forums, making it easy for users to get help and share knowledge about monitoring best practices. Scout also offers community support through documentation and support channels, ensuring users have access to resources and assistance when setting up and using the monitoring tool.

In Summary, while AppSignal excels in providing detailed system metrics and error tracking, Scout focuses more on application monitoring with customizable dashboards and advanced alerting mechanisms, making it a flexible choice for developers looking for a comprehensive monitoring solution.

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Advice on Scout, AppSignal

Kamil
Kamil

Lead Architect at Fresha

Feb 8, 2021

DecidedonRubyRubyNew RelicNew RelicElixirElixir

Coming from a Ruby background, we've been users of New Relic for quite some time. When we adopted Elixir, the New Relic integration was young and missing essential features, so we gave AppSignal a try. It worked for quite some time, we even implemented a :telemetry reporter for @{AppSignal}|tool:507| . But it was difficult to correlate data in two monitoring solutions, New Relic was undergoing a UI overhaul which made it difficult to use, and AppSignal was missing the flexibility we needed. We had some fans of Datadog, so we gave it a try and it worked out perfectly. Datadog works great with Ruby , Elixir , JavaScript , and has powerful features our engineers love to use (notebooks, dashboards, very flexible alerting). Cherry on top - thanks to the Datadog Terraform provider everything is written as code, allowing us to collaborate on our Datadog setup.

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Comments

Detailed Comparison

Scout
Scout
AppSignal
AppSignal

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.

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.

Monitors Ruby, PHP, Python, Node.js & Elixir apps;Easy install;Detailed transaction traces;Alerting;Deploy Tracking
Track errors; Performance Monitoring; Compare deploys. Monitor background jobs.; Lots of integrations.; Compare servers.; Alerts for you and your team.; API with access to your data and errors.; Beautiful clean interface.; Sensible pricing (pay for requests).; Unlimited users, apps, environments, hosts.; No aggressive sales team.; Stroopwafels.; Extensive documentation.; Dedicated, private slack support.
Statistics
Stacks
84
Stacks
97
Followers
86
Followers
100
Votes
21
Votes
88
Pros & Cons
Pros
  • 8
    Easy setup
  • 5
    Plugins
  • 3
    Affordable
  • 1
    Heroku Integration
  • 1
    Profiles Ruby Memory Usage
Pros
  • 16
    Easy setup
  • 9
    Logs Errors
  • 8
    Tracks performance
  • 7
    Profiles Ruby Memory Usage
  • 7
    Support Elixir
Integrations
No integrations available
GitHub
GitHub
Heroku
Heroku
Phabricator
Phabricator
Shortcut
Shortcut
Jira
Jira
GitLab
GitLab
Slack
Slack
Trello
Trello
Asana
Asana
Intercom
Intercom

What are some alternatives to Scout, AppSignal?

New Relic

New Relic

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.

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.

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.

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.

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

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