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How to choose tools for DevOps and Continuous Delivery 
Matthew Skelton, Skelton Thatcher Consulting 
DevOps Manchester meetupgroup, 2ndSeptember 2014, Manchester, UK 
#devopsmanc#twuknorth
Collaboration 
Learning 
Singleton tools 
Conway’s Law
Matthew Skelton 
•15 years building & operating software systems 
•Cybernetics + Neuroscience 
•control engineering 
•psychology 
•‘network’ interactions 
@matthewpskelton
PIPELINE Conference 
London Continuous Delivery meetupgroup (#londoncd)
Help orgs to adopt and sustain good engineering practices 
Interim CTO/Head of X, tech strategy, architecture, workshops, delivery
Recent clients 
•Tourism 
•Betting & gambling 
•Travel booking 
•Financial data & reporting 
•Healthcare
Common themes 
•Online since ~1999 
•Successful in their sector 
•Large, central core database(s) 
•Non-aligned goals 
•Need to adopt DevOps and Continuous Delivery
Common needs 
•Technology selection ticklists 
•Team interactions 
•Collaboration opportunities 
•Tools as catalysts
Continuous Delivery 
•A scientific approach to changing software systems (Dave Farley) 
•Regular, rapid, repeatable, reliable changes
Continuous Delivery 
•Quality 
•Safety 
•Reliability 
•Psychology 
•Effectiveness
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”
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
http://bit.ly/thetrainline-weekly-deploy
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
LogStash 
•ElasticSearch+ LogStash+ Kibana 
•ELK 
•In Production, Pre-Prod, Test 
•On developer machines!!!
http://rashidkpc.github.io/Kibana/images/screenshots/searchss.png
Collaboration & tool choice 
Value collaboration as a key criterion 
Orthogonal to main purpose (?) 
“How does [the use of] this tool help people to collaborate?”
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
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
DevOps Topologies
DevOps Topologies
DevOps Topologies
DevOps Topologies
Conway & Tool Choice 
See the organisation as a system 
Separate tools for separate teams 
Shared tools for collaborative teams 
http://bit.ly/DevOpsTopologies
Conway’s Law 
•Allan Kelly -@allankellynet 
•https://vimeo.com/channels/londoncd
How to choose tools for DevOps 
Value collaboration aspects 
Avoid a learning mountain: evolve tooling 
Avoid Production-only tools 
Consider Conway’s Law 
(this list is incomplete!)
Further reading 
HighOps Operability eBook 
bit.ly/OperabilityEbook 
Build Quality In 
buildqualityin.com
Thank you 
matthewskelton.net / @matthewpskelton 
skeltonthatcher.com 
HT: @Squire_Matt, @alan_parkinson

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