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Stackify

33
69
+ 1
56
Vector

22
53
+ 1
0
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Stackify vs Vector: What are the differences?

Developers describe Stackify as "Performance. Metrics. Errors. Logs. One platform". 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. On the other hand, Vector is detailed as "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.

Stackify and Vector can be categorized 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 Stackify
Pros of Vector
  • 8
    Error tracking
  • 7
    Monitoring
  • 7
    Easy setup
  • 7
    Log management
  • 6
    Real-time application health
  • 6
    Alerting
  • 6
    Application performance
  • 5
    exception tracking
  • 2
    Application Performance management
  • 1
    Good for .NET and Windows Server
  • 1
    Great APM with integrated log & exception management
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    35.3K
    - No public GitHub repository available -

    What is 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

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

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    What are some alternatives to Stackify 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.
    AppDynamics
    AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    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!
    See all alternatives