Post on 05-Aug-2020
transcript
Wir machen Sie sicherer.
Pipelining qualitybest practices, lessons learned and tools for continuous delivery processes
25. Oktober 2017, Markus Tiede – Basler Versicherungen AG
Wir machen Sie sicherer.
Wir machen Sie sicherer.
@MarkusTiede
www.baloise.ch 325.10.17
Bird's eye view
http://www.datacenterjournal.com/wp-content/uploads/2016/11/devops111116.png
www.baloise.ch
01 Galileo� OOTB approach
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n large-scale insurance enterprise project
n4 products CM
n8 Scrum teams for "customization"n ± 75 peoplen POs, SMs, Architects, Developer, Tester, Business Analystsn 1-2 team(s) per productn cross-functional team(s): integration, release
Portal
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02 Overall process� "classic" SCRUM
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n two week sprints (sync)nbut: harmonized releases
n decoupled from sprint(s)
neverything digitaln knowledge / documentation base
n deeply integrated / coupled
n application lifecyclen CRs, User Stories, Bugs, …
n SourceCodeManagementn Continuous Integration
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03 A journey to production� knowledge and automation is key: Confluence Dashboard
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04 Jenkins pipelines (scripted and declarative)� orchestration of environment(s) – CI as code (Job DSL)
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LB / SSO
PC
o1
o2
coo
BC
o1
o2
coo
CM
o1
o2
coo
Portal
o1
o2
o3
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05 Agile testing pyramid (per coordinate)�goal: fail fast / fail early
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06 Coordinates (stack : env)�allow (massive) parallism + bubbling
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Project+0 TEST INT ACC PROD
Project+1 TEST INT ACC
Project+2 TEST INT ACC
Project+3 TEST INT
LB / SSO
PC
o1
o2
coo
BC
o1
o2
coo
CM
o1
o2
coo
Portal
o1
o2
o3
12 x 12 = 144 individual nodes
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07 Releases�different flavours
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nMAJ.MIN.MIC.FIXn HOTFIX (e.g. 4.0.1.2)
n 8 – 12h (full regression)
n MICROn < 1 week
n MINORn < 1 month
n MAJORn < 1 year
Project+0 TEST INT ACC PROD
Project+1 TEST INT ACC
Project+2 TEST INT ACC
Project+3 TEST INT
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08 Change and data flow�multi-master branches and tags per repo
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2.3.2.0.rc1
2.4.0.0.rc1 2.4.0.0.rc2
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09 Change and data flow�"Golden master / copy"-approach
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Project+3
TEST INT
Project+2
TEST INT ACC
Project+1
TEST INT ACC
Project+0
TEST INT ACC PROD
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10 Tools�inspection, analysis, monitoring
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n low level – log miningnhigh level – "pure path" analysisn custom level – knowledge graph
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11 2do�aka – pain points
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nEnvironment as coden Puppet, Anisble & Co
nCode Review per Feature Branchnautomated and manual
n (Test) Data Managementn all or nothing – x TB of datan Highly interconnected data
nLegacy systems / processes (Batches)
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12 Summary� take away
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n100% digital – linked resources; knowledge basen simultanuous release (train) vs. agile shippable artifactnMulti-(Stack)-(Jenkins)-PipelinesnAgile Test-PyramidnSCM „tag“ driven deploymentsnData Management: Golden Data / Master approachnBuild your own knowledge graph: neo4j
Making you safer.
https://github.com/baloise