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Continuous Delivery Anti-patterns
from the wild
Thursday 6th October 2016 - #IPEXPO
Matthew Skelton
Skelton Thatcher Consulting
@matthewpskelton
anti-patterns
Matthew Skelton
@matthewpskelton
Continuous Delivery / …
30+ organisations
UK, US, EU, India, China
DevOpsTopologies.com
anti-patterns
1. Not reading the
‘Continuous Delivery’
book
“What book?”
Keep Everything in Version Control
Done Means Released
Don’t Check In on a Broken Build
Never Go Home on a Broken Build
Fail the Build for Slow Tests
Only Build Your Binaries Once
Deploy the Same Way to Every Environment
Use the Humble &
Farley book on
Continuous Delivery
2. Long and slow
deployment pipelines
40+ steps between code
commit and release
several weeks’ duration
BUT
bug fixes in 4 steps
Short, wide pipelines
http://continuousdelivery.com/2010/09/deployment-pipeline-anti-patterns/
3. “Continuous Delivery
is not for us”
October 29, 2015
Sarah Goff-Dupont
@DevToolSuperFan
“Nope.
CD is fine for some
systems/teams/software,
but each company should
make their own business
decisions about how often
to release code.”
(Why every development team needs
continuous delivery)
“…each company should make their own business
decisions about how often to release code…”
err, this is exactly what we get with
Continuous Delivery practices!
Continuous Delivery !=
Continuous Deployment
(Pull vs Push)
Continuous Delivery does not
need deployments straight to
Production systems
Continuous Delivery does not
need cloud servers or
containers
Continuous Delivery is not
100 deployments per day
Copyright © O’Reilly Media 2016
Continuous Delivery is a set of
excellent practices for building
working software systems
Deliver to a simulation
environment if not
Production
4. No effective logging
or application metrics
use logging as a
channel/vector to
make distributed
systems more testable
Aggregated logging +
detailed metrics drive
decision-making
5. No investment in
build & deployment
versioning approaches
interdependencies
evaluation of new techniques
splitting / joining components
infrastructure availability
Approx 1 x FTE per
Product Team for
build & deployment
6. Operational aspects
not addressed well
‘Functional’
‘Non-
functional’
‘Operational Features’
(not NFRs)
FEATURES
Visible
Operational
Visible
Single backlog for
visible and operational
features
7. Forgetting the
database
ApexSQL
ActiveRecord (and similar)
DbMaestro
FluentMigrator
Flyway
Liquibase
Redgate tools
Vendor-native (e.g. EF, SSDT)
Use a tool for DB
changes + drive from
version control
8. “Just plug in a
deployment pipeline”
Limited unit tests
No re-architecture
1 Ops person for 25 techies
Opaque component names
No logging or metrics
Re-architect for
Continuous Delivery
9. Container envy
(aka microservices envy)
No unit or integration tests
No logging or monitoring
200+ ETL jobs only in Prod
DB on a single node (no HA!)
Limited Dev+Ops collaboration
Adopt good CD
practices before adding
container complexity
Not reading any of ‘Continuous Delivery’ book
Long and slow deployment pipelines
“Continuous Delivery is not for us”
No effective logging or application metrics
No investment in build & deployment
Operational aspects not addressed well
Forgetting the database
“Just plug in a deployment pipeline”
Container envy
Use the CD book
Short, wide pipelines
Deliver to a simulation environment
Aggregated logging + metrics
Explicitly fund build & deployment
Single backlog for all features
Use a tool for DB changes + version control
Re-architect for Continuous Delivery
Adopt good practices before using containers
Questions?
References
‘Continuous Delivery’ by Jez Humble & Dave Farley, 2010
https://www.amazon.co.uk/Continuous-Delivery-Deployment-Automation-Addison-
Wesley/dp/0321601912/
‘Deployment Pipeline anti-patterns’ by Jez Humble
http://continuousdelivery.com/2010/09/deployment-pipeline-anti-patterns/
‘Why every development team needs continuous delivery’ by Sarah Goff-Dupont [Atlassian]
http://blogs.atlassian.com/2015/10/why-continuous-delivery-for-every-development-team/
‘Continuous Delivery with Windows and .NET’ by Chris O’Dell & Matthew Skelton, O’Reilly, 2016
http://cdwithwindows.net/
‘Database Lifecycle Management’ by Grant Fritchey and Matthew Skelton, Redgate, 2016
http://thedlmbook.com/
Thank you
http://skeltonthatcher.com/
enquiries@skeltonthatcher.com
@SkeltonThatcher
+44 (0)20 8242 4103
@matthewpskelton

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