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Scout

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Scout vs Vector: What are the differences?

Scout: Application Monitoring that Developers Love. Scout is application monitoring that points developers right to the source of problems: N+1 database queries, memory bloat, performance trends, and more Scout eliminates much of the investigation part when performance woes occur. ; Vector: On-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser, by Netflix. Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

Scout and Vector can be primarily classified as "Performance Monitoring" tools.

Vector is an open source tool with 3.17K GitHub stars and 230 GitHub forks. Here's a link to Vector's open source repository on GitHub.

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Pros of Scout
Pros of Vector
  • 8
    Easy setup
  • 5
    Plugins
  • 3
    Affordable
  • 1
    Custom Scopes
  • 1
    GIT Integration
  • 1
    Local Developer Tracing
  • 1
    Profiles Ruby Memory Usage
  • 1
    Heroku Integration
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    What is 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.

    What is Vector?

    Vector provides a simple way for users to visualize and analyze system and application-level metrics in near real-time. It leverages the battle tested open source system monitoring framework, Performance Co-Pilot (PCP), layering on top a flexible and user-friendly UI. The UI polls metrics at up to 1 second resolution, rendering the data in completely configurable dashboards that simplify cross-metric correlation and analysis.

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    What companies use Scout?
    What companies use Vector?
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    What tools integrate with Scout?
    What tools integrate with Vector?

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    What are some alternatives to Scout and Vector?
    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.
    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.
    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.
    Sentry
    Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.
    Amazon CloudWatch
    It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.
    See all alternatives