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

Scout vs Skylight

OverviewComparisonAlternatives

Overview

Scout
Scout
Stacks84
Followers86
Votes21
Skylight
Skylight
Stacks105
Followers69
Votes51

Scout vs Skylight: What are the differences?

Introduction: This comparison focuses on key differences between Scout and Skylight.

  1. Pricing Model: Scout offers a flat-rate pricing structure based on the number of monitored hosts, while Skylight follows a usage-based pricing model, charging based on data consumption and performance insights.

  2. Application Focus: Scout is predominantly focused on server monitoring and infrastructure performance, providing detailed metrics on system resources and performance, whereas Skylight specializes in application performance monitoring, offering insights into application code performance and bottlenecks.

  3. Integration Capabilities: Scout has robust integrations with popular servers, databases, and applications, making setup and data collection seamless, whereas Skylight is more focused on deep integrations with Ruby on Rails and other web development frameworks, offering in-depth visibility into application code performance.

  4. Alerting and Notification System: Scout provides customizable alerting features based on performance thresholds and conditions, allowing users to set up notifications for critical events, while Skylight offers advanced alerting options with the ability to create alerts based on specific metrics and patterns in application performance data.

  5. Data Visualization and Reporting: Scout offers intuitive dashboards and reports for system resource monitoring and performance metrics, allowing users to quickly analyze and identify trends, whereas Skylight excels in providing detailed visualizations and reports on application code performance and optimization recommendations.

  6. Scalability and Flexibility: Scout is known for its ease of scalability with simple deployment and monitoring of large-scale infrastructures, catering to diverse environments, while Skylight's focus on application performance makes it highly adaptable to changing requirements of web applications and microservices architecture.

In Summary, Scout and Skylight differ in their pricing model, application focus, integration capabilities, alerting system, data visualization, and scalability options.

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Detailed Comparison

Scout
Scout
Skylight
Skylight

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.

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

Monitors Ruby, PHP, Python, Node.js & Elixir apps;Easy install;Detailed transaction traces;Alerting;Deploy Tracking
Skylight looks at how your code is behaving in production, alerting you to improvements you can make before they become showstoppers.;Skylight tells you exactly how your app is spending its time where it matters most—in your production environment;Pricing starts at $20 for the first million requests, with automatic discounts for high-volume customers;Skylight is built with badass hipster tech: Ruby on Rails, Ember.js, Rust, Storm, Dropwizard, Kafka, Cassandra, and more.
Statistics
Stacks
84
Stacks
105
Followers
86
Followers
69
Votes
21
Votes
51
Pros & Cons
Pros
  • 8
    Easy setup
  • 5
    Plugins
  • 3
    Affordable
  • 1
    Profiles Ruby Memory Usage
  • 1
    Heroku Integration
Pros
  • 11
    Beautiful UI
  • 8
    Sort by 'agony' - lists low hanging fruit fixes
  • 8
    Made by ember.js and rails core team members
  • 7
    Actionable analytics with concrete numbers
  • 6
    Free tier
Cons
  • 1
    Comparing different timeframes is difficult

What are some alternatives to Scout, Skylight?

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.

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

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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