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Terraforming Geoscience with Infracode
Laura Stanford
Geoscience Australia
About the speaker
Scientist
• PhD in Astronomy, ANU
• Postdoc at University of Texas at Austin
• VLBI Scientist, Geoscience Australia
IT
• Various roles: software dev,
data governance, data modelling
NOW
DevOps, Cloud Enablement Team, GA
Email: laura.stanford@ga.gov.au
Geoscience Australia
Nation’s trusted
advisor on the geology
and geography of
Australia.
Geoscience Australia
What do we do at GA?
Cloud: the journey so far
On premise
• Limited scalability
• Vanilla
• Specialised teams
Cloud provider
• Scalable
• Reliable
• Customisable
• Quick time to production
Laura Stanford | James Kingsmill | Tom Butler
Cloud Enablement Team (Autobots)
• Collaboration on projects
• Technical advice and workshops
• Automation and patterns
• Cloud governance
• Support MDTs and developers in
Science Divisions
Challenges…
Infracode
• Source control
• Configurations
• Divide into reusable modules
• Infrastructure patterns &
examples
• Code reviews
• Automated testing
• Continuous delivery and
deployment
Pipeline
Source AMI Infrastructure AWS
Bitbucket Pipelines
Application
Server Patterns
Example builds for common usages
Security heavily baked into AMIs
Automated tests
Packer
Infrastructure as code:
• Codifies APIs into declarative configuration files
• Modular
• Platform agnostic
• Allows state locking
Terraform
Example architecture:
Available at:
https://bitbucket.org/accou
nt/user/geoscienceaustrali
a/projects/TF
Terraform
Tagging
Terraform:
Bash script:
State locking
Enables teams to
work on the same
infrastructure
Terraform:
One infracode to rule them all
Bitbucket Pipeline:
Terraform:
Variables Route 53
Terraform quirks
Snapshot on delete:
Deploying application
…depends
• Is it changing or static
• Application in the AMI
• Application deployed using Jenkins, Amazon CodeDeploy,
Ansible
Automated tests
Tools:
• awspec
• goss
CI/CD
Bitbucket pipelines
Monitoring & Logging
• AWS
CloudTrail
• Account logs
• Security logs
• Amazon
CloudWatch
Security
• AMIs have security baked in
• Security well architected into our examples
• SSO functionality
• Central account access – Organisations
Cost
• Cloudability – to monitor costs on AWS
o Views for each area
o Allows quick responses to issues
• Lambda Scripts
o To shut down dev/test servers overnight and on weekends
• Reserved instances
o Amazon RDS
o Amazon EC2
Example: Provenance Server
Packer #1
• Apache HTTP Server
• Apache Jena Fuseki
Packer #2
• PROMS application
Terraform
Infrastructure on AWS
AMI
AMI
PROMS: http://promsns.org/
All the good things
• Recognising common themes and patterns - infracode
• Seeing same issues across the agency in different areas
• Upskill people in the science divisions
o In depth technical
o General knowledge
• Breaking down silos – collaboration
• Code reuse
All the good things: empowerment
• Teams can control things themselves
• Self service through automation
• Upskilling
• Feel motivated
• Sense of ownership
• Try new ideas
• Valued
Terraforming Geoscience with Infracode
Laura Stanford | James Kingsmill | Tom Butler
Laura.Stanford@ga.gov.au
James.Kingsmill@ga.gov.au
Tom.Butler@ga.gov.au
Available at:
https://bitbucket.org/account/user/geoscienceaustralia/projects/TF

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Customer Case Study: Terraforming Geoscience with Infracode - AWS PS Summit Canberra 2017