Hosted Graphite vs StatsD

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Hosted Graphite
Hosted Graphite

17
11
+ 1
12
StatsD
StatsD

192
126
+ 1
27
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Hosted Graphite vs StatsD: What are the differences?

Developers describe Hosted Graphite as "Graphite as a service". Hosted Graphite is the powerful open-source application metrics system used by hundreds of companies. We take away the headaches of scaling, maintenance, and upgrades and let you do what you do best - write great software. On the other hand, StatsD is detailed as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Hosted Graphite and StatsD can be primarily classified as "Monitoring" tools.

Some of the features offered by Hosted Graphite are:

  • Dashboards- Standard Graphite and Tasseo dashboards out of the box
  • Account Sharing- Allow team members to customise graphs and dashboards
  • Access Keys- Export data to external monitoring systems, dashboards and alerting systems

On the other hand, StatsD provides the following key features:

  • buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
  • values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
  • flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

"Great customer support" is the primary reason why developers consider Hosted Graphite over the competitors, whereas "Single responsibility" was stated as the key factor in picking StatsD.

StatsD is an open source tool with 14.2K GitHub stars and 1.83K GitHub forks. Here's a link to StatsD's open source repository on GitHub.

- No public GitHub repository available -

What is Hosted Graphite?

Hosted Graphite is the powerful open-source application metrics system used by hundreds of companies. We take away the headaches of scaling, maintenance, and upgrades and let you do what you do best - write great software.

What is StatsD?

StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).
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    What are some alternatives to Hosted Graphite and StatsD?
    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.
    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.
    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.
    Nagios
    Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
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    Decisions about Hosted Graphite and StatsD
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    Flask
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    AWS EC2
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    Celery
    Datadog
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    Airflow
    Airflow
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    Data science and engineering teams at Lyft maintain several big data pipelines that serve as the foundation for various types of analysis throughout the business.

    Apache Airflow sits at the center of this big data infrastructure, allowing users to “programmatically author, schedule, and monitor data pipelines.” Airflow is an open source tool, and “Lyft is the very first Airflow adopter in production since the project was open sourced around three years ago.”

    There are several key components of the architecture. A web UI allows users to view the status of their queries, along with an audit trail of any modifications the query. A metadata database stores things like job status and task instance status. A multi-process scheduler handles job requests, and triggers the executor to execute those tasks.

    Airflow supports several executors, though Lyft uses CeleryExecutor to scale task execution in production. Airflow is deployed to three Amazon Auto Scaling Groups, with each associated with a celery queue.

    Audit logs supplied to the web UI are powered by the existing Airflow audit logs as well as Flask signal.

    Datadog, Statsd, Grafana, and PagerDuty are all used to monitor the Airflow system.

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    Łukasz Korecki
    CTO & Co-founder at EnjoyHQ · | 6 upvotes · 56.3K views
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    We use collectd because of it's low footprint and great capabilities. We use it to monitor our Google Compute Engine machines. More interestingly we setup collectd as StatsD replacement - all our Clojure services push application-level metrics using our own metrics library and collectd pushes them to Stackdriver

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    Amazon CloudWatch
    Amazon CloudWatch
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    PagerDuty
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    A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we’re looking to migrate all of these to our internal monitoring system soon).

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    Interest over time
    Reviews of Hosted Graphite and StatsD
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    How developers use Hosted Graphite and StatsD
    Avatar of Stream
    Stream uses StatsDStatsD

    StatsD is used to track the number of messages we're publishing and the type of realtime subscribers. So it shows the number of longpoll connections, the number of websocket connections etc. It also tracks how Redis is performing.

    Avatar of Chris Hartwig
    Chris Hartwig uses StatsDStatsD

    Business and system counters go through StatsD and are pushed to InfluxDB

    Avatar of Tongliang Liu
    Tongliang Liu uses StatsDStatsD

    Arm yourself with sensor all over your application

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