A Whirlwind Tour of Etsy's Monitoring Stack
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It's no secret that at Etsy we are big fans of small, incremental and frequent changes and tight feedback loops. This is how we make it possible to deploy changes to our main codebase more than 50 times a day and also safely apply changes to our infrastructure in a continuous fashion. It enables us to rapidly fix bugs and roll out features in our application stack and infrastructure. This however would not be possible without a tight feedback loop and a myriad of monitoring tools that keep us informed about changes and possible problems in every nook and cranny of the Etsy stack, no matter if it's a network change event, systems or application level performance or how bad the last week of on-call rotation was.
Transcript of A Whirlwind Tour of Etsy's Monitoring Stack
A Whirlwind Tour of Etsy's Monitoring Stack
Daniel Schauenberg
@mrtazz
@mrtazz
@mrtazz
@mrtazzItem by TheBackPackShoppe
How comfortable are you deploying
a change right now?
“If this is your first day at Etsy, you deploy the site”
@mrtazz
Ganglia• System level metrics
• Instance per DC/environment
• > 220k RRD files
• Fully configured through Chef role attributes
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Rainbow Graphs!
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StatsD• Single instance on one server
• Traffic mostly from 70 Web & 24 API servers
• Node.js
• Heavy Sampling
• Graphite as backend
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Graphite• Application level metrics
• 96G RAM, 20 Cores, 7.3T SSD RAID 10
• 525k metrics/minute
• Mirrored Master/Master Setup
• Functionally sharded relays
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CNAME
relays
relays
caches
caches
statsdtimers statsdcounts
statsd chef
logster fqld
search generic
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Syslog-Ng• Web, Search, Gearman, Photos, Nagios,
Network, VPN
• 1.2GB written/minute
• Chef role attribute based config
• Rule ordering!
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github.com/etsy/logster
• Extract metrics from log files
• Written in Python
• Runs every minute via cron
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Splunk
• Indexes all of our log files
• Easy search for patterns
• Saved searches for interesting ones
• Basically using it as a glorified grep
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Logstash• Experiment status
• Makes it easier integrate different sources
• Easy to set up in dev environment
• Trying to figure out where/how it fits into our infrastructure
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Eventinator• Tracks all events in our infrastructure
• Chef runs and changes
• DNS changes
• Network
• Deploys
• Server provisioning and decommissioning
• ~ 12 million events in the last 2 years
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Chef
• rules everything around me
• Same cookbooks on prod and dev
• every node runs Chef every 10 minutes
• ton of knife plugins and handlers
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> 120 recipes
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Nagios
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Nagios• 2 instances in each DC/environment
• Fully Chef generated configuration
• Service checks and contacts in git
• Notifications via email->SMS gateway
• ~75% ops on-call
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Nagios Herald• Add context to nagios alerts
• What are the first 5 things you do when you get paged?
• You already have the phone in your hand
• nagios notification handler
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The Toys are real
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There’s another side of heaven
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Ops Weekly
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Ops Weekly
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Summary• Set of trusted tools
• Enhance where they come short
• Try out new things
• Write tools where applicable
• Continuous monitoring and adaptation
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codeascraft.com etsy.com/codeascraft/talks
etsy.github.com etsy.com/careers
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Questions?
A Whirlwind Tour of Etsy's Monitoring Stack
Daniel Schauenberg
@mrtazz
