1.
Continuous Delivery Patterns
for Boring Releases

2.
About me
Manuel Pais
MS Software Eng
@manupaisable
manuelpais.net
me@manuelpais.net
DevOps and Delivery Consultant
Focused on teams and flow
2@manupaisable | manuelpais.net

3.
@manupaisable | manuelpais.net 3
Today
1. Intro to boring releases
2. Patterns for safer releases
3. Patterns for faster releases
4. Patterns for sustainable delivery

4.
@manupaisable | manuelpais.net 4
Today
1. Intro to boring releases
2. Patterns for safer releases
3. Patterns for faster releases
4. Patterns for sustainable delivery

5.
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6.
6
App down,
refuses to restart
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7.
7
App down,
refuses to restart
Data migration
completed… partially
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8.
8
App down,
refuses to restart…
Missing
libraries…
Data migration
completed… partially
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9.
9
App down,
refuses to restart…
The password master…
Data migration
completed… partially
Missing
libraries…
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10.
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11.
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12.
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13.
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14.
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Build Test Deploy

15.
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Build Test Deploy
Build Test Deploy

16.
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Build Test Deploy
Build Test Deploy
Build Test Deploy

17.
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Build Test Deploy
Build Test Deploy
Build Test Deploy Monitor

18.
18
Outcomes
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19.
“ability to get changes of all types,
into production, or into the hands of
users, safely and quickly in a
sustainable way”
–Dave Farley & Jez Humble
continuousdelivery.com
@manupaisable | manuelpais.net 19

20.
@manupaisable | manuelpais.net 20
Today
1. Intro to boring releases
2. Patterns for safer releases
3. Patterns for faster releases
4. Patterns for sustainable delivery

21.
“ability to get changes of all types,
into production, or into the hands of
users, safely and quickly in a
sustainable way”
–Dave Farley & Jez Humble
continuousdelivery.com
@manupaisable | manuelpais.net 21

22.
STEP ONE
map all release activities in a
deployment pipeline
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23.
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24.
Gains from
improving visibility to everyone,
and increasing repeatability and
traceability are enormous
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25.
Value Stream Mapping
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26.
Value Stream Mapping
is a pen and paper tool that
highlights bottlenecks in a matter of
hours and raises awareness of what
difficulties other teams face
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27.
STEP TWO
measure key metrics on:
-speed (e.g. cycle time)
-quality (e.g. defect rate)
-operability (e.g. MTTR)
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28.
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29.
STEP THREE
PUT IN THE WORK !!!
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30.
Which work?
Automated builds
in clean environments
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31.
Which work?
You can provision a
mini-replica of production
environnment
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32.
Which work?
You have application health checks
and fast smoke tests
for sanity checking
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33.
Which work?
You have acceptance tests
with reasonable coverage,
including failure scenarios
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34.
Which work?
Single source of truth.
Single binary.
Single path to production.
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35.
STEP THREE
PUT IN THE WORK !!!
(but in iterative fashion…
walking skeletons FTW!)
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36.
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37.
37
practices first,
tools second
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38.
Practices for boring releases
•Automated build (and unit tests)
•Provision prod replica in pipeline
•Automated acceptance tests (BDD)
•No “invisible” activities
•One source of truth
•One path to production
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39.
@manupaisable | manuelpais.net 39
Today
1. Intro to boring releases
2. Patterns for safer releases
3. Patterns for faster releases
4. Patterns for sustainable delivery

40.
“ability to get changes of all types,
into production, or into the hands of
users, safely and quickly in a
sustainable way”
–Dave Farley & Jez Humble
continuousdelivery.com
@manupaisable | manuelpais.net 40

41.
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can’t auto-
scale people
How to cope with
ever increasing
cognitive load on
teams to build and
run applications?

42.
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CI
Peer
review
Infra Security Comply

43.
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CI
Peer
review
Infra Security Comply
Database Accept UX Deploy

44.
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FixMonitorRun
CI
Peer
review
Infra Security Comply
Database Accept UX Deploy

45.
Multiple approaches needed
1. Smarter pipelines
2. Team structures
3. Self-service platforms
4. Resilient delivery system
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46.
Multiple approaches needed
1. Smarter pipelines
2. Well-thought team structures
3. Self-service platforms
4. Resilient delivery system
@manupaisable | manuelpais.net 46

47.
Multiple approaches needed
1. Smarter pipelines
2. Well-thought team structures
3. Self-service platforms
4. Resilient delivery system
@manupaisable | manuelpais.net 47

48.
Multiple approaches needed
1. Smarter pipelines
2. Well-thought team structures
3. Self-service platforms
@manupaisable | manuelpais.net 49

49.
Reduce wait times
Minimum path to production
Risk-based activities
Continuous pruning
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1. Smarter pipelines

50.
Waiting for pipeline
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51.
Waiting for pipeline
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52.
Reduce wait for pipeline
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53.
Scalable CI/CD Infrastructure
•Solved problem in cloud systems
•Starts with infrastructure-as-code
•Agent farm (auto scaling if possible)
•Pipelines need to evolve as number of
teams grows@manupaisable | manuelpais.net 54

54.
Waiting for dependencies
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55.
Waiting for dependencies
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56.
Flow efficiency =
“teams who aren’t paying attention to this concept generally
have flow efficiencies around the 15% mark - that means that
work normally spends 85% of its lifecycle waiting on something.”
http://leankanban.com/flow-efficiency-a-great-metric-you-probably-arent-using
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57.
issue is not how long it takes to do
something, it's how long we're
waiting for it to get done
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58.
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59.
Initial state: serial pipeline
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60.
Intermediate state: CAB in path to prod
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61.
End state: short and wide pipeline
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62.
Reduce wait times
Minimum path to production
Risk-based activities
Continuous pruning
63@manupaisable | manuelpais.net
1. Smarter pipelines

63.
Reduce wait times
Minimum path to production
Risk-based activities
Continuous pruning
64@manupaisable | manuelpais.net
1. Smarter pipelines

64.
Reduce wait times
Minimum path to production
Risk-based activities
Continuous pruning
65@manupaisable | manuelpais.net
1. Smarter pipelines

65.
Reduce wait times
Minimum path to production
Risk-based activities
Continuous pruning
66@manupaisable | manuelpais.net
1. Smarter pipelines

66.
@manupaisable | manuelpais.net 70
Today
1. Intro to boring releases
2. Patterns for safer releases
3. Patterns for faster releases
4. Patterns for sustainable delivery

67.
“ability to get changes of all types,
into production, or into the hands of
users, safely and quickly in a
sustainable way”
–Dave Farley & Jez Humble
continuousdelivery.com
@manupaisable | manuelpais.net 71

68.
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69.
Delivery system itself should be boring, not just the pipeline.
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70.
Resilient delivery system
that enables
fast(er) feedback loops
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71.
Delivery system
•CI tool
•Pipeline orchestration tool
•Orchestration plugins / 3rd party tools
•Pipeline definitions
•Source repos
•CI + CD infrastructure
•And ?
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72.
Delivery system
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73.
Delivery system
CI/CD Toolchain
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74.
Delivery system
CI/CD Toolchain
App 1
App 2
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75.
Delivery system
CI/CD Toolchain
Pipelines
App 1
App 2
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76.
Delivery system
CI/CD Toolchain
Pipelines
Infra
App 1
App 2
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77.
How resilient delivery looks like
•Tooling and configuration changes do
not impact regular delivery
•Gracefully handles peak load of
pipeline runs
•Issues with underlying infra/tools
handled swiftly, rollback if needed
•Disaster recovery at a click of a button
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78.
How resilient delivery looks like
•Changes (plugins, configuration, jobs,
etc) do not impact regular delivery
•Gracefully handles peak load of
pipeline runs
•Issues with underlying infra/tools
handled swiftly, rollback if needed
•Disaster recovery at a click of a button
@manupaisable | manuelpais.net 82

79.
How resilient delivery looks like
•Changes (plugins, configuration, jobs,
etc) do not impact regular delivery
•Gracefully handles peak load of
pipeline runs
•Issues with underlying infra/tools
handled swiftly, roll backed if needed
•Disaster recovery at a click of a button
@manupaisable | manuelpais.net 83

80.
How resilient delivery looks like
•Changes (plugins, configuration, jobs,
etc) do not impact regular delivery
•Gracefully handles peak load of
pipeline runs
•Issues with underlying infra/tools
handled swiftly, rollback if needed
•Disaster recovery at a click of a button
(almost) @manupaisable | manuelpais.net 84

81.
Practices for resiliency (1/3)
•Pipeline infrastructure-as-code
•Pipeline configuration-as-code
•Build and release from zero to live
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82.
Practices for resiliency (1/3)
•Pipeline infrastructure-as-code
•Pipeline configuration-as-code
•Build and release from zero to live
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83.
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84.
Bonus Points
pipeline-as-code allows
designing future states of the
value stream and draw evolution
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85.
Practices for resiliency (1/3)
•Pipeline infrastructure-as-code
•Pipeline configuration-as-code
•Build and release from zero to live
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86.
Team A Team B
Team C Team D
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87.
The glitch is believed to have been caused by a power supply issue and there is
no evidence of a cyber-attack, the airline said.
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88.
Team A Team B
Team C Team D
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89.
Team D
Team BTeam A
Team C
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90.
Team A
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Team D
Team B
Team C

91.
Team A
Team C
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Team D
Team B

92.
Team A Team B
Team C
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Team D

93.
Team A Team B
Team C Team D
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94.
Borat’s Law / Caveat
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95.
Practices for resiliency (2/3)
•Pipeline immutable infrastructure
•Blue-green pipeline deployments
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96.
Practices for resiliency (2/3)
•Pipeline immutable infrastructure
•Blue-green pipeline deployments
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97.
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98.
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99.
Practices for resiliency (3/3)
•Aggregated logging
•Monitoring & alerting
•Auto-scaling
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100.
Books
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101.
releasabilitybook.com
Book sample out now!
Team Guide to
Software Releasability
by Chris O’Dell & Manuel Pais
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102.
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manuelpais.net

103.
thank you
Manuel Pais
MS Software Eng
@manupaisable
manuelpais.net
me@manuelpais.net
DevOps and Delivery Consultant
Focused on teams and flow
107@manupaisable | manuelpais.net