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Continuous Delivery:
Tools, Collaboration, and Conway's Law
Matthew Skelton, Skelton Thatcher Consulting
QCon London 2015, Weds 4th March
#qconlondon
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Watch the video with slide
synchronization on InfoQ.com!
http://www.infoq.com/presentations
/cd-tools-conway-law
Presented at QCon London
www.qconlondon.com
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practitioner-driven conference designed for YOU: influencers of
change and innovation in your teams
- speakers and topics driving the evolution and innovation
- connecting and catalyzing the influencers and innovators
Highlights
- attended by more than 12,000 delegates since 2007
- held in 9 cities worldwide
Collaboration
Tool Automation
Learning
Singleton tools
Conway’s Law
Matthew Skelton
• Building & operating
software systems since 1998
• Cybernetics + Neuroscience + Music
•  control engineering
•  psychology
•  ‘network’ and group interactions
@matthewpskelton
Recent clients
Legal
Payments
Tourism
Betting
Travel booking
Financial services
Healthcare data
Common themes
•Online since ~1999
•Successful in their sector
•Large, central core database(s)
•Non-aligned team goals
•Ops historically undervalued
•Need to adopt DevOps and
Continuous Delivery
Common needs
•Technology selection ticklists
•Team interactions
•Collaboration opportunities
•Tools as catalysts
‘Delivery’ implies
‘fire and forget’
We must continue to care
after deployment
Continuous Delivery
Continuous Evolution of software systems
Small changes
High quality
Operationally excellent
Engaged teams
Focus on value
Use flow
Delivery ≠ Deployment
Empower product & commercial
people to make features available
at the right time
Pull, not Push
Continuous Delivery
Regular, rapid, repeatable,
reliable changes
Automate most of the things
Continuous Delivery
Quality
Safety
Reliability
Psychology
Effectiveness
Continuous Delivery
DevOps
“Highly effective, daily collaboration
between software developers and IT
operations people to produce
relevant, working systems” *
*also QA/Testing, IT Service Desk, Programme Management,
Commercial, Marketing, etc.
Not DevOps
“Automation”
“Build & Release”
“Infrastructure Development”
“System Administration”
“Containers”
Collaboration
1. Version Control
2. Deployment Pipeline
A large online retailer
•Travel sector
•Since ~1999
•UK market
•‘Non-core’ applications
Challenges were:
•Limited Git skills in Service team
•Manual deployments
•‘Snowflake’ servers
•No CI
•Risks: security, automation, etc
What we did
•Built a walking skeleton pipeline
•Modelled security roles and stages
•Included manual steps (at first)
•Walked people through steps
•Finally: opened firewall so everyone
could see the UI
Results
•Security: happy
•Service team: relieved (& happy)
•Developers: won over (& happy)
•Business: surprised (& happy)
3. Log Aggregation
Log aggregation & search
ElasticSearch+ LogStash+ Kibana /
NewRelic / LogEntries / Stackify
(In Production, Pre-Prod, Test)
On developer machines!!!
Event type IDs
How many discrete states exist
in your application?
Event type IDs
Event type IDs
enum
Human-readable sets:
unique values, sparse, immutable
C#, Java, Python, node
(Ruby, PHP, …)
Technical
Domain
public enum EventID
{
// Badly-initialised logging data
NotSet = 0,
// An unrecognised event has occurred
UnexpectedError = 10000,
ApplicationStarted = 20000,
ApplicationShutdownNoticeReceived = 20001,
PageGenerationStarted = 30000,
PageGenerationCompleted = 30001,
MessageQueued = 40000,
MessagePeeked = 40001,
ItemAddedToBasket = 60001,
ItemRemovedFromBasket = 60002,
CreditCardDetailsSubmitted = 70001,
// ...
}
ItemAddedToBasket = 60001
ItemAddedToBasket = 60001
Monolith to microservices:
debugger does not have the full view
Distributed systems
Even with remote debugger, it’s
boring to attach and detach
(but… Glimpse)
Remote debugging?
http://rashidkpc.github.io/Kibana/images/screenshots/searchss.png
Log aggregation &
search
Good logging is good communication
ELK and other log aggregation tools
can build Dev + QA + Ops
collaboration
4. Detect Database Drift
Red Gate DLM Dashboard
Red Gate DLM Dashboard
Collaboration & tool
choice
Value collaboration as a key criterion
Orthogonal to main tool purpose (?)
“How does this tool help people to
collaborate?”
Automation
Tooling & APIs
•Prefer SaaS to begin with
•API for:
•Important state changes & actions
•Import/Export
•Trigger
•Alerting
•…
Tooling Automation
•Avoid manual configuration of tools
•Install via packages
•RPM, APT, Gems, Chocolatey
•Configure using
Chef/Puppet/Ansible/DSC/etc.
•Insist on APIs
Tool Automation
Point-n-click is no longer acceptable
Choose tools that expose APIs
Aim for composition of new capabilities
Build and deployment are first-class concerns
Learning
Learning & tool choice
Bring people with you
Appreciate current skills
Prefer achievable gains now
Avoid fear of too-scary tools
Singleton tools
(or the ‘Prize Bull’ approach)
Singleton tools
Special database server
Costly log aggregation
Costly monitoring
Server configuration tooling
…only in Production
http://www.walpapershddownload.com/highland-cattle-wallpapers/
“Better features”?
Optimise globally across
the teams that need to
collaborate
Singleton tool
Breaks feedback (learning) loop
from Production
Makes CI/CD more difficult
Underestimates value of
collaboration and learning
Conway’s Law
Mel Conway, 1968
“organizations which design
systems ... are constrained to
produce designs which are copies
of the communication structures of
these organizations”
http://www.melconway.com/Home/Conways_Law.html
Ruth Malan, 2008
“if the architecture of the system
and the architecture of the
organization are at odds, the
architecture of the organization
wins”
http://traceinthesand.com/blog/2008/02/13/conways-law/
?
Team Topologies
topology: the study of places
Team Topologies:
study of the placement of teams
(responsibilities, communication, shape)
Conway & Tool Choice
See the whole organisation as a
system that we’re building
Separate tools for separate teams
Shared tools for collaborative teams
http://bit.ly/DevOpsTopologies
How to choose tools for
Continuous Delivery and
DevOps
Value collaboration aspects
Insist on APIs and scripted deployments
Avoid a learning mountain: evolve tooling
Avoid Production-only tools
Consider Conway’s Law
(this list is incomplete!)
Further reading
Build Quality In
buildqualityin.com
Continuous Delivery and DevOps
experience reports from 20 authors
70% of royalties donated to Code Club
Discount for #qconlondon:
http://leanpub.com/buildqualityin/c/qconlondon2015
Six contributors from QCon London 2015 speakers:
- Dave Farley
- Rachel Laycock
- Amy Phillips
- Anna Shipman
- Matthew Skelton
- Philip Wills
- + 14 more
Further reading
DZone 2015 Guide to
Continuous Delivery
http://bit.ly/DZoneCDreport
Conway’s Law & Continuous Delivery
• Allan Kelly - @allankellynet
• London Continuous Delivery
meetup group – January 2014
• https://vimeo.com/channels/londoncd
We help you to transform your
technology and teams
for the cloud
Thank you
matthewskelton.net / @matthewpskelton
HT: @Squire_Matt, @alan_parkinson
http://skeltonthatcher.com/
enquiries@skeltonthatcher.com
@SkeltonThatcher
+44 (0)20 8242 4103
Slides are Copyright © 2015 Skelton Thatcher Consulting Ltd. All rights reserved.
Watch the video with slide synchronization on
InfoQ.com!
http://www.infoq.com/presentations/cd-tools-
conway-law

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Continuous Delivery: Tools, Collaboration, and Conway's Law