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electric-cloud.com
#DOES16
DSL at Scale
Source-Code Based Orchestration
Greg Maxey, Solutions Architect, Electric Cloud
Laurent Rochette, Professional Services Architect, Electric Cloud
electric-cloud.com
#DOES16
Agenda
• Introduction
• State of the art before DSL
• Onboarding at a MASSIVE scale with DSL
o Mini case study at Financial Services company
• Works in progress and what's next with DSL
electric-cloud.com
#DOES16
Introduction
• Last year introduced the ElectricFlow DSL at DOES 2015
o EVERYTHING you can do in the GUI, API, CLI you can do in DSL plus
enables data-driven implementations
• Saw great adoption among our customers for large scale
implementation
• Provides huge improvements over former approaches for
onboarding and process-maintenance for complex orgs.
electric-cloud.com
#DOES16
State of the art before ElectricFlow DSL
• Create parameterized ElectricFlow objects with UI for reuse
o It was possible to do automated authoring with ec-perl, though that
was generally reserved for "synthetic" or "meta" coding
• Project exports
• Plugins for versioning and portability
electric-cloud.com
#DOES16
Mini case study at Financial Services
company
electric-cloud.com
#DOES16
Challenge
• Huge number of existing applications (thousands!)
• Server-type orientation to infrastructure
• Wide range of delivery processes and technology stacks (.NET,
Java, etc.)
• Many new applications in the pipeline
• Three week release cycle
• Strict Maintenance Windows and regulatory/compliance guidelines
electric-cloud.com
#DOES16
Requirements
• On-board existing applications
• On-board new teams
• Accommodate new applications
• Cover 80% with model
• Strict and detailed user/group access controls
• Separate ElectricFlow server clusters for development, test and
production
electric-cloud.com
#DOES16
Approach
• Customer created a self-service web portal to enable product
owners to onboard applications
• Portal accepts application, infrastructure and releases details
• Portal sends configuration description to ElectricFlow
• ElectricFlow generates custom objects based on configuration
• ElectricFlow procedures used to generate these objects
• DSL used to manage all access controls
• All (except credentials) managed in Source Control
electric-cloud.com
#DOES16
Sample File structure
Projects
Release procedures
installProgram
runScript
Setup
procedures
createDeliveryManifest
createRelease
createRelease.groovy
steps
step1.pl
step2.sh
workflows
electric-cloud.com
#DOES16
Shared Source Code based Orchestration
• 1 Project for each application group
• Application model snapshot'd to allow evolution without impact
• Version manifest managed in Property Sheet to allow simple run of
pipeline
• Release and Applications data stored to properties
electric-cloud.com
#DOES16
Electric Flow
Setup Project
Onboarding and Refresh
User Input Web UI
Release InfraApp
Release Project
JSON
Run Procedure
New App Project
DSL+JSON App/Release/Env
Properties
Refresh App
Refresh
Release
DSL
DSL
App & Env
Models
Pipeline &
Release Models
electric-cloud.com
#DOES16
Advantages realized by DSL
• Source controlled versioning of orchestration
• Orchestration reuse
• Easily support incremental changes
• Self documenting
• Many people can work on the same process design through code
merging
• IDE development more efficient for developers
• Data-driven model creation
• Models can have group-specific values hard-coded, making for a
cleaner end-user experience
electric-cloud.com
#DOES16
Business Impact of DSL
• Enables self-service while maintaining compliance
• Gives organizations control over processes used for SW
delivery
• Enforce separation of duty
• Consolidation and standardization of pipeline and
practices saves management overhead
• Enable less skilled operators to execute advanced
processes and compliance checks
electric-cloud.com
#DOES16
DSL, give it a try!
electric-cloud.com
#DOES16
What we’re working on to make DSL better
• Toggle between GUI and DSL editor – New!
• Testing framework
• EC-Admin
• PluginLite
o ReleaseDemo
o EC-Support
o EF-Utilities
electric-cloud.com
#DOES16
Resources
• DSL IDE Shipped with Electric Flow 6.5: https://github.com/electric-
cloud/EC-DSLIDE
• PluginLite: https://github.com/electric-cloud/PluginLite
• Data-driven Release Example: https://github.com/electric-
cloud/ReleaseDemoPlugin
• DSL Samples: https://github.com/electric-cloud/DSL-Samples
electric-cloud.com
#DOES16
Technical details to keep in mind with DSL
• Everything read from the server, cluster challenge
• Debugging: easier in 7.0 with println support
• Limited feedback during evaluation
• Deletions don't occur automatically (idempotent)
• Careful with deleting application, can lose inventory and snapshot
data
electric-cloud.com
#DOES16
Thank you!

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DOES SFO 2016 - Greg Maxey and Laurent Rochette - DSL at Scale

  • 1. electric-cloud.com #DOES16 DSL at Scale Source-Code Based Orchestration Greg Maxey, Solutions Architect, Electric Cloud Laurent Rochette, Professional Services Architect, Electric Cloud
  • 2. electric-cloud.com #DOES16 Agenda • Introduction • State of the art before DSL • Onboarding at a MASSIVE scale with DSL o Mini case study at Financial Services company • Works in progress and what's next with DSL
  • 3. electric-cloud.com #DOES16 Introduction • Last year introduced the ElectricFlow DSL at DOES 2015 o EVERYTHING you can do in the GUI, API, CLI you can do in DSL plus enables data-driven implementations • Saw great adoption among our customers for large scale implementation • Provides huge improvements over former approaches for onboarding and process-maintenance for complex orgs.
  • 4. electric-cloud.com #DOES16 State of the art before ElectricFlow DSL • Create parameterized ElectricFlow objects with UI for reuse o It was possible to do automated authoring with ec-perl, though that was generally reserved for "synthetic" or "meta" coding • Project exports • Plugins for versioning and portability
  • 5. electric-cloud.com #DOES16 Mini case study at Financial Services company
  • 6. electric-cloud.com #DOES16 Challenge • Huge number of existing applications (thousands!) • Server-type orientation to infrastructure • Wide range of delivery processes and technology stacks (.NET, Java, etc.) • Many new applications in the pipeline • Three week release cycle • Strict Maintenance Windows and regulatory/compliance guidelines
  • 7. electric-cloud.com #DOES16 Requirements • On-board existing applications • On-board new teams • Accommodate new applications • Cover 80% with model • Strict and detailed user/group access controls • Separate ElectricFlow server clusters for development, test and production
  • 8. electric-cloud.com #DOES16 Approach • Customer created a self-service web portal to enable product owners to onboard applications • Portal accepts application, infrastructure and releases details • Portal sends configuration description to ElectricFlow • ElectricFlow generates custom objects based on configuration • ElectricFlow procedures used to generate these objects • DSL used to manage all access controls • All (except credentials) managed in Source Control
  • 9. electric-cloud.com #DOES16 Sample File structure Projects Release procedures installProgram runScript Setup procedures createDeliveryManifest createRelease createRelease.groovy steps step1.pl step2.sh workflows
  • 10. electric-cloud.com #DOES16 Shared Source Code based Orchestration • 1 Project for each application group • Application model snapshot'd to allow evolution without impact • Version manifest managed in Property Sheet to allow simple run of pipeline • Release and Applications data stored to properties
  • 11. electric-cloud.com #DOES16 Electric Flow Setup Project Onboarding and Refresh User Input Web UI Release InfraApp Release Project JSON Run Procedure New App Project DSL+JSON App/Release/Env Properties Refresh App Refresh Release DSL DSL App & Env Models Pipeline & Release Models
  • 12. electric-cloud.com #DOES16 Advantages realized by DSL • Source controlled versioning of orchestration • Orchestration reuse • Easily support incremental changes • Self documenting • Many people can work on the same process design through code merging • IDE development more efficient for developers • Data-driven model creation • Models can have group-specific values hard-coded, making for a cleaner end-user experience
  • 13. electric-cloud.com #DOES16 Business Impact of DSL • Enables self-service while maintaining compliance • Gives organizations control over processes used for SW delivery • Enforce separation of duty • Consolidation and standardization of pipeline and practices saves management overhead • Enable less skilled operators to execute advanced processes and compliance checks
  • 15. electric-cloud.com #DOES16 What we’re working on to make DSL better • Toggle between GUI and DSL editor – New! • Testing framework • EC-Admin • PluginLite o ReleaseDemo o EC-Support o EF-Utilities
  • 16. electric-cloud.com #DOES16 Resources • DSL IDE Shipped with Electric Flow 6.5: https://github.com/electric- cloud/EC-DSLIDE • PluginLite: https://github.com/electric-cloud/PluginLite • Data-driven Release Example: https://github.com/electric- cloud/ReleaseDemoPlugin • DSL Samples: https://github.com/electric-cloud/DSL-Samples
  • 17. electric-cloud.com #DOES16 Technical details to keep in mind with DSL • Everything read from the server, cluster challenge • Debugging: easier in 7.0 with println support • Limited feedback during evaluation • Deletions don't occur automatically (idempotent) • Careful with deleting application, can lose inventory and snapshot data