The Prometheus folks also thought of this, quelle surprise, and the exporter provides incredibly powerful transformation functionalityīetween the hierarchical tree-form of statsd and the multi-dimensional labeling format of Prometheus. Time spent by the rate() of the count, I will have a running average time spent per query over that time interval. If I take the rate() of the count variable, I will have queries-per-second, and if I divide the rate() of the The cumulative time spent performing operations of that type on the table, and the second one counts the total amount of queries of that This way, there are only two Prometheus metric names mastodon_db_operation_sum and mastodon_db_operation_count. Using the library’s, I can clearly see the patterns described, for example in the SQL :sidekiq: listens to Sidekiq middleware and emits information about queues, workers and their jobs.:active_support_cache: records information regarding caching (Redis) queries, and emits timing information for them.:active_record: listens to any database (SQL) queries and emits timing information for them.:action_controller: listens to the ActionController class that is extended into ApplicationControllers in Mastodon.Naming aside though, this libraryĬollects application level statistics in four main categories: When you’re working with Open Source? Mastodon turns out to be using a popular Ruby library called the, a wordplay that I don’t necessarily find all that funny. I can clearly see some patterns in here, but why guess Statsd organizes its variable names in a dot-delimited tree hierarchy. ProcessingWorker.processing_time:16272|ms Onwards, I get human-readable data, in a bunch of strings that start with sudo tcpdump -Ani lo port 9125 | grep 'Mastodon.production.' | sed -e 's.*Mas,Mas,' Header] (8 bytes) as well, but sure enough, if I start reading from the 28th byte My first attempt is a little bit noisy,īecause the packet dump contains the (20 bytes) and [ UDP Considering myĭestination is localhost, I also know which interface to tcpdump on (using the -i lo flag). I decide to a look at those packets, instructing tcpdump to show the contents of the packets (using the -A flag). This should make Mastodon apps emit some statistics of sorts. The form of :| strings, that carry statistics of certain type across the network, using either TCP or UDP.Ĭool! To make use of these stats, I first add this STATSD_ADDR environment variable from the docs to my. Interesting, but what is this statsd, precisely? It’s a simple text-only protocol that allows applications to send key-value pairs in STATSD_ADDR: If set, Mastodon will log some events and metrics into a StatsD instance identified by its hostname and port. I noticed in the, that there’s a one-liner breadcrumb that might beĮasy to overlook, as it doesn’t give many details: In this post, I’ll show how I tie these all together in a custom Grafana Mastodon dashboard! Mastodon Statistics But Mastodon itself is also an application which can provide a wealth of telemetry using
Vital backends like Redis, Postgres and Elastic. I talked about its overall architecture and how one might use Prometheus to monitor In my, I shared some thoughts on how I installed a Mastodon instance for myself. To each their own of course, butįor me it’s time to take back a little bit of responsibility for my online social presence, away from centrally hosted services and to Is convenient, but these companies are sometimes taking away my autonomy and exerting control over society. I am the first to admit that using “free” services I’ve been feeling lessĮnthusiastic about the stronghold that these corporations have over my digital presence. I have seen companies achieve great successes in the space of consumer internet and entertainment industry.
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