2015-02-22 23:56:56 by jdixon
I'm writing a book. This may come as a surprise given the lack of content on this blog over the last... entire year of 2014. Nevertheless, I'm pleased to report that the rumors are true and I am in fact writing a book about Graphite.
Three different editors at O'Reilly contacted me over the course of a few years about the possibility of authoring a volume about my favorite Open Source time-series rendering engine. I had significant concerns about the availability of free time I'd have to spend on this project, so I had to turn them down the first couple times. Last year, something finally clicked and I relented. And so, Monitoring with Graphite became a thing.
We've decided to release it as a work in progress, with the Early Release going on sale in December 2014 and an expected official release around June 2015. According to the outline we're almost at the halfway point of the book, so I think it's reasonable to say we're still on schedule.
If you've enjoyed my blog posts, I really think you'll love the book. I've included a healthy discussion around monitoring concepts and the "composable monitoring system", a deep dive into the Graphite components, fully fleshed-out installation processes and tips of the trade, and a helluva lot more. I aim to be as comprehensive as possible while still managing to keep it an entertaining read. Frankly, this is probably the only subject matter that I'll know well enough to write a book about, so I'm not about to let myself screw it up.
I encourage you to grab the Early Release Ebook and provide feedback. Your comments and suggestions (or questions) will continue to fuel the content for the rest of the book. And if you make it out to Monitorama this summer, I'll be happy to sign your tablet or laptop.
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2014-01-05 20:54:03 by jdixon
Graphite is well known for storing simple key/value metrics using the Whisper time-series database on-disk format. What is not well known about Graphite is that it also ships with a feature known as Events that supports a richer form of metrics storage suitable for, well, events. Imagine a place where you could store tagged metrics and additional data relevant to the event (e.g. code snippets, comments, etc). Many folks use NoSQL databases such as HBase for this purpose, and that's a perfectly reasonable approach. However, if you'd like to store these somewhere where they can be correlated with the rest of your Graphite metrics, then Events might be a good fit for you.
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2014-01-05 00:39:38 by jdixon
If you're using Graphite with Django 1.4 or newer, you've probably noticed the broken styling on the Admin module. This appears to be an annoyance at worst, but it's ugly nonetheless. I don't have a fix for this yet, but I have a workaround for anyone using Apache with their Graphite web UI.
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2014-01-02 20:29:59 by jdixon
One of my friends at GitHub, Scott Sanders, recently published a new suite of tools collectively known as Carbonate. Anyone who has had the "pleasure" of migrating Graphite to one or more new servers, in production, has likely felt the pain of dealing with gaps in your time-series data. This is a common source of pain for many administrators; I'm really pleased that Scott was able to put together this collection of shell primitives for managing Whisper migrations.
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2013-12-14 19:29:20 by jdixon
As mentioned in my previous article, I no longer recommend using SQLite as a Graphite backend for anything outside of development or testing work. It is too lenient with data types, and doesn't provide the levels of concurrency I'd like to see in an RDBMS for a production web service.
This opinion was cultivated almost exclusively from my recent experience migrating a single-node Graphite instance with an SQLite database to an HA pair of Graphite nodes with a shared PostgreSQL backend. For those of you considering migrating off SQLite to PostgreSQL, this article documents my initial struggles and eventual fixes for this transition.
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2013-12-10 19:44:07 by jdixon
If you've ever had the pleasure of installing Graphite, you're almost certainly aware that it uses Django as it's web framework. In order to support features like saving graphs and dashboards, Graphite needs somewhere to store the data that describes these objects. As you might expect, a relational database with support for SQL is a dandy place for this sort of relational data. Django supports a number of RDBMS backends using the Django ORM, making it relatively painless to get started with Graphite in a development or test environment using the popular SQLite database engine.
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2013-11-11 12:15:38 by jdixon
InfluxDB is a time-series metrics and events database based on the LevelDB key-value store. LevelDB was written and open sourced by Google, and is an optional backend for Riak. InfluxDB (or "Influx", for short) inherits many of LevelDB's default characteristics, which means it's optimized for writes and uses compression by default, but it can be slow for reads and deletes.
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2013-10-19 02:58:37 by jdixon
Immediately, I thought of Hosted Graphite and wondered how this compares with their offering. Would it have its own dashboard? Was it a DigitalOcean-backed Graphite instance (admittedly, something I've considered trying to package up myself)? I hopped over to their website and looked around.
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2013-08-16 13:43:15 by jdixon
One of Graphite's shortcomings is that it's not easy to construct a composite chart of both lines and area sections. In fact, it's not possible at all unless you're willing to stack your areas. But if you are dealing with data where it makes sense to stack them, and you want to correlate that with something else as a line series, here's an example demonstrating how you can do it.
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2013-06-26 09:12:54 by jdixon
I've been hearing a lot of chatter from various sources that adaptive fault detection is going to be The New Shit ™ and that static thresholds are virtually useless because they lack context. While I agree that some of the more advanced techniques sound amazing (and make no mistake, I'm really excited about the possibilities here), it's foolish to think that thresholds as a measure of fault conditions are useless.
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