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Some developers believe that monitoring is a function of operations team. Some operations teams firmly believe that monitoring the systems they maintain is sufficient to run the business successfully. Most of them are wrong. The complexity of today’s applications have gone far and beyond the capabilities of “traditional” system-level monitoring tools and approaches and requires much broader knowledge of business and application as a whole. The goal of DevOps is to connect all aspects of application development and operations, and monitoring provides visibility and troubleshooting tools to accomplish that goal. This talk is intended to provide real-world examples of common gaps in monitoring approach and explain why holistic instrumentation of business and functionality monitors should be a part of any project scope.
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Improving DevOpsthrough better monitoring
Leon Fayer
@papa_fire
Who am I ?
• 20+ years of development and operations of large systems
• currently Vice President at OmniTI
• can be found online:
• @papa_fire
• http://fayerplay.com
• github:lfayer
So …
what is DevOps?
What is DevOps?
philosophy of collaboration
… and more
to enable business goals
Not DevOps
dev ops
Not DevOps either
devops
DevOps
devops
General consensus
Damon Edwards (http://dev2ops.org)
Missing link
Damon Edwards (http://dev2ops.org)
Finally, monitoring
enter monitoring
What to monitor?
“in God we trust
all others we monitor”
What to monitor specifically?
• systems
• databases
• application
• integration points
• performance
• user behavior
• business processes
Perfect quote
“ I don’t give a **** if the
datacenter is on fire as long as
I am still making money ”
- CEO
Example: Twitter
serves over 20 million unique visitors a day
… legendary for downtime
. servers are up and running
. HTTP checks return 200
. tweets lost
Why monitor?
• software is never perfect
• systems are more and more complex
• proactive is better than reactive
• external dependency worry
• …
Why really monitor?
things change
… and when things change
changes effect business
And now for real example
:case study:
Setting the stage
• online marketing company
• major e-commerce component
• 90+ million users
• 1 billion emails/months
• 300,000+ lines of code
• ~ 50 physical devices
• 5600+ metrics collected
It all starts with …
Let the hunt begin
revenue
Direct cause check
revenue + traffic
Going down the stack
revenue + traffic + load time
Still descending
revenue + traffic + load time + db
Got ya!
revenue + traffic + load time + db + email
Keys to monitoring
1. understand business
2. approach top-down
3. correlate data
Questions?
For more tips & examples:
http://omniti.com/explains/monitoring-the-big-picture
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