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StatsD

301
289
+ 1
31
Statsite

4
25
+ 1
0
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StatsD vs Statsite: What are the differences?

  1. Data Aggregation: One key difference between StatsD and Statsite is that StatsD performs data aggregation on the client side, while Statsite does it on the server side. This means that StatsD sends aggregated data to the server, reducing the amount of network traffic, whereas Statsite receives raw data and performs aggregation calculations internally.

  2. Programming Language: Another difference is the programming language used for implementation. StatsD is written in Node.js, making it easier for users familiar with JavaScript to work with, while Statsite is written in C/C++, which provides better performance in terms of data processing speed and efficiency.

  3. Extensibility: StatsD is more extensible compared to Statsite. StatsD allows for easy creation of custom implementations and modifications, thanks to its open-source nature and active community support. On the other hand, Statsite may have limitations in terms of customization and extension due to its design and architecture.

  4. Metrics Support: StatsD is primarily focused on simple metrics collection and aggregation, suitable for basic monitoring needs. In contrast, Statsite offers more advanced features such as support for high cardinality data, histograms, timers, and percentiles, making it more suitable for complex metrics analysis and performance monitoring.

  5. Community Popularity: StatsD is widely adopted and supported by a large community of users and contributors, leading to better documentation, plugins, and integrations. While Statsite may have a smaller user base and less community support, potentially resulting in fewer resources and assistance available for users.

  6. Ease of Setup: StatsD is known for its simplicity in setup and configuration, making it more user-friendly for beginners or those looking for a quick and straightforward monitoring solution. In comparison, Statsite may have a steeper learning curve due to its more advanced features and finer configuration options.

In Summary, StatsD and Statsite differ in terms of data aggregation method, programming language, extensibility, metrics support, popularity within the community, and ease of setup.

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Pros of StatsD
Pros of Statsite
  • 9
    Open source
  • 7
    Single responsibility
  • 5
    Efficient wire format
  • 3
    Loads of integrations
  • 3
    Handles aggregation
  • 1
    Many implementations
  • 1
    Scales well
  • 1
    Simple to use
  • 1
    NodeJS
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    Cons of StatsD
    Cons of Statsite
    • 1
      No authentication; cannot be used over Internet
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      No Stats

      What is StatsD?

      It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

      What is Statsite?

      Statsite is a metrics aggregation server. Statsite is based heavily on Etsy's StatsD https://github.com/etsy/statsd, and is wire compatible.

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      Jobs that mention StatsD and Statsite as a desired skillset
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      What companies use Statsite?
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        What tools integrate with StatsD?
        What tools integrate with Statsite?
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          What are some alternatives to StatsD and Statsite?
          collectd
          collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.
          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.
          InfluxDB
          InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
          Telegraf
          It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.
          Logstash
          Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
          See all alternatives