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/ Robert Treat
Managing Databases in a
{DEVOPS} Environment
Robert Treat
@robtreat2
robert@omniti.com
Who Am I?
OmniTI
Who Am I?
“we offer a full suite of operational, database, and development services.
whether you need help with an existing architecture,
are looking to build out a new service, or just need a second opinion,
we would love to help”
Who Am I?
Highly Scaled
Big Data
Heavy Transactions
What Is “DevOps” ?
putting your development in my ops
putting your ops in my development
mindmeld
not a talk about devops
per se
let’s focus on three things
configuration management
monitoring
software deployment
yes,
I just offended everyone with a
“kanban”
t-shirt
moving on
configuration management
some sysadmins get very excited about
systems automation
*yawns*
many DBA’s have like
ONE BOX
to manage
this makes
server automation
seem like a hassle
now you have two problems
even with one box,
there are many things to configure
database configs, cron jobs, packages,
monitoring, scripts, binaries, shell config,
pooler?
it’s a lot to configure
and it needs to be documented,
or at least reproducible
and it would be nice to know when
changes occur within your environment
these tools can help you with that
configuration management
“configuration” <--> “management”
even without automation
track changes
notification of changes
also consider
your
“one big database”
is probably more than just one database
webservers
data loading
script
load balancer
primary
replay
node B
writes
writes
reads
reads
writes
replay
node A
a1 a2 a3 b1 b2 b3
failover, reporting, staging, development,
read replicas, and more!
and then someone sets up a new service
now you have to configure everything
again on multiple machines
how long does it take you to stand up a
new copy of your database?
how confident are you that everything has
been configured correctly?
monitoring for devops
monitor everything!
system stuff
disk i/o, disk space, cpu,
network traffic, load
database stuff
transactions per second
transactions per second, connections,
index scans, seq scans, table size
transactions per second, connections,
index scans, seq scans, table size,
cache hit ratios
don’t get hung up on details
DBA’s
are sometimes finicky about
data quality
it is better to have useful metrics
than to have accurate metrics
metrics enable capacity planning
metrics let you know
what good looks like
metrics enable forensics
metrics enable debugging
why did my site break?
changes
configuration parameters
code pushes
traffic spikes
make it easy to correlate changes
expose this to everyone!
dba’s, devs, sa’s,
finance, marketing,
everyone!
deploying new code
Push, Baby, Push!
a bazillion deploys a day!
from idea to code in the blink of an eye
what’s the problem?
this doesn’t work well for databases
databases are fundamentally different
they have data
data is important
and hard to replace
you can always rewrite your code
you can’t get everyone to
give you their data again
cf.
furthermore
code is static
code is controlled
data is often dynamic
control is in the hands of users
this makes database administration
more difficult
we cannot eliminate change
we need to manage change
ideally, we want to enable change
back in the day
DBA’s lived in walled gardens
you send them requirements
they send you a schema
send them updated requirements
different schema
this goes back and forth
dev keeps pushing just to get it done
dba pushing to minimize change
in order to minimize risk
eventually something is agreed upon
but this takes a long time
forget you!
many shops bypass dba’s
where bypass means “don’t have”
but you still need someone
to make it work
you need balance
devs design schema
BLASPHEMY!
(devs) meet with project managers
(devs) digest requirements
(devs) understand the app
confer with dba’s if you have questions!
if you had a
{perl|php|ruby|python|javascript}
python
question, you would ask a senior dev
dba’s are your senior devs
wrt databases
have a style guide for schema design
schema changes become migrations
new stuff, changed stuff
all migrations must be reviewed
look for red flags
nulls, indexes, datatypes, constraints
what’s the impact?
locking, data rewrites,
other stuff that sucks
1000 Pushes A Day?
No
remember locking?
you have peak times
build schema change windows
around off-peak hours
once a week
once a day
just not during lunch
you can’t eliminate risk
minimize the unnecessary risk
and it’s worth pointing out
schema changes
should not
be married
to code changes
if your feature launches next week,
push the schema changes this week
add columns well in advance of
writing to them
stop writing to columns
well before dropping them
like development, it is easier to digest
small, incremental changes
devops has changed the way we think
dba’s are the original devops
it’s time we all got on the same team
thank you!
#pgdayphilly
PHOTOS:
http://www.flickr.com/photos/lintilla/3164475946/sizes/m/in/photostream/
http://www.flickr.com/photos/john/3807248802/in/photostream/
http://www.flickr.com/photos/fenng/176903905/in/photostream/
http://www.flickr.com/photos/winkydo/3003752549/sizes/m/in/photostream/
http://www.flickr.com/photos/winterofdiscontent/4101596626/sizes/m/in/photostream/
http://www.flickr.com/photos/zooboing/4361038612/sizes/m/in/photostream/
http://www.flickr.com/photos/blakespot/4011035061/sizes/m/in/photostream/
http://www.flickr.com/photos/ikhnaton2/533233247/sizes/m/in/photostream/
http://www.flickr.com/photos/stayinsussex/3801588698/sizes/m/in/photostream/
http://www.flickr.com/photos/35077238@N06/4373285723/
http://www.flickr.com/photos/95572727@N00/4247290972/

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