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Updated: 2 days 14 hours ago

Simon Lyall: DevOpsDays Wellington 2016 – Day 2, Session 1

Fri 30th Sep 2016 21:09
Jethro Carr – Powering stuff.co.nz with DevOps goodness

Stuff.co.nz
– “News” Website
– 5 person DevOps team

Devops
– “Something you do because Gartner said it’s cool”
– Sysadmin -> InfraCoder/SRE -> Dev Shepherd -> Dev
– Stuff in the middle somewhere
– DevSecOps

Company Structure drives DevOps structure
– Lots of products – one team != one product
– Dev teams with very specific focus
– Scale – too big, yet to small

About our team
– Mainly Ops focus
– small number compared to developers
– Operate like an agency model for developers
– “If you buy the Dom Post it would help us grow our team”
– Lots of different vendors with different skill levels and technology

Work process
– Use KanBan with Jira
– Works for Ops focussed team
– Not so great for long running projects

War Against OnCall
– Biggest cause of burnout
– focus on minimising callouts
– Zero alarm target
– Love pagerduty

Commonalities across platforms
– Everyone using compute
– Most Java and javascript
– Using Public Cloud
– Using off the shelf version control, deployment solutions
– Don’t get overly creative and make things too complex
– Proven technology that is well tried and tested and skills available in marketplace
– Classic technologist like Nginx, Java, Varnish still have their place. Don’t always need latest fashion

Stack
– AWS
– Linux, ubuntu
– Adobe AEM Java CMS
– AWS 14x c4.2xlarge
– Varnish in front, used by everybody else. Makes ELB and ALB look like toys

How use Varnish
– Retries against backends if 500 replies, serve old copies
– split routes to various backends
– Control CDN via header
– Dynamic Configuration via puppet

CDN
– Akamai
– Keeps online during breaking load
– 90% cache offload
– Management is a bit slow and manual

Lamda
– Small batch jobs
– Check mail reputation score
– “Download file from a vendor” type stuff
– Purge cache when static file changes
– Lamda webapps – Hopefully soon, a bit immature

Increasing number of microservices

Standards are vital for microservices
– Simple and reasonable
– Shareable vendors and internal
– flexible
– grow organicly
– Needs to be detail
– 12 factor App
– 3 languages Node, Java, Ruby
– Common deps (SQL, varnish, memcache, Redis)
– Build pipeline standardise. Using Codeship
– Standardise server builds
– Everything Automated with puppet
– Puppet building docker containers (w puppet + puppetstry)
– Std Application deployment

Init systems
– Had proliferation
– pm2, god, supervisord, systemvinit are out
– systemd and upstart are in

Always exceptions
– “Enterprise ___” is always bad
– Educating the business is a forever job
– Be reasonable, set boundaries

More Stuff at
http://tinyurl.com/notclickbaithonest

Q: Pull request workflow
A: Largely replaced traditional review

Q: DR eg AWS outage
A: Documented process if codeship dies can manually push, Rest in 2*AZs, Snapshots

Q: Dev teams structure
A: Project specific rather than product specific.

Q: Puppet code tested?
A: Not really, Kinda tested via the pre-prod environment, Would prefer result (server spec) testing rather than low level testing of each line
A: Code team have good test coverage though. 80-90% in many cases.

Q: Load testing, APM
A: Use New Relic. Not much luck with external load testing companies

Q: What is somebody wants something non-standard?
A: Case-by-case. Allowed if needed but needs a good reason.

Q: What happens when automation breaks?
A: Documentation is actually pretty good.

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