Efficient DevOps: Standardizing Chaotic Culture at NBCUniversal
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Transcript of Efficient DevOps: Standardizing Chaotic Culture at NBCUniversal
Your Pain Points
3
NBCU Software Development Challenges
High Error Rate
Manual Process Configuration Management
Lots of Delays Multiple Technologies
Audit Trail Environment Consistency
Time to market
The 5 C’s of DevOps
Continuous IntegrationCode changes are merged with the mainline multiple times per day. Unit testing and TDD make up the core of CI
Continuous Delivery Develop code in short cycles and release often
Continuous Testing Code is continually tested to ensure quality before releasing
Continuous Feedback Determine the current state of the project
Continuous Monitoring Real-time status of the application
DevOps SDLC
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Merging disparate practices into one seamless workflow
Change Management
Shift Left Testing
Release Pipeline & Execution
Monitor &
Manage Assets
Building DevOps
10
• Our DevOps is centrally driven through the IBM Urban Code Suite
• UCB/UCD has empowered us to merge the 5 C’s into ONE WORKFLOW
• With our integrated commit hooks, all a developer has to do to trigger the CI process is check in code to the SCM. That’s it!
DevOps 1.0 (2015) - CRAWL
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When we embarked on our newborn DevOps 1.0 workflow, we began with integrating:
• Agile Project Management• Source Code Management• Build Automation• Deployment Automation• Unit Testing Integration• QA Test Automation
DevOps 2.0 (2016) - WALK
13
In 2016, we matured with our DevOps 2.0 workflow and expanded DevOps to integrate:
• Agile Project Management• Source Code Management• Database Forecasting Automation• Database Deployment Automation• Build Automation• NPM Enterprise• Deployment Automation• Unit Testing• Code Coverage• Static Code Analysis• Technical Debt Measurement• Dynamically Activated Cloud-based Testing Environments• Integrated & Automated Environment Provisioning• Continuous Test Automation (Smoke, Functional, Regression, End-
to-End Test Automation)• Veracode Integration
DevOps 3.0 (2017) - RUN
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In 2017, with our DevOps 3.0 workflow, we will expand DevOps to integrate:
• DevOps Mobile• Agile Project Management• Source Code Management• Database Forecasting Automation• Database Deployment Automation• Support for Container Technologies (Docker, Kubernetes, etc)• Fully Cloud Aware Build/Deployment Capabilities• Build Automation• Deployment Automation• Urban Deploy with Patterns Blueprint Designer• Unit Testing• Code Coverage• NPM Enterprise• Continuous Risk Assessment• Static Code Analysis• Technical Debt Measurement• Slack Channel• Continuous Monitoring• Continuous Feedback• Dynamically Activated Cloud-based Testing Environments• Integrated & Automated Environment Provisioning• QA Test Automation• Veracode Integration
Our Customers
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To save you time and MONEY!We are so proud to announce that we now
have 60 unique applications utilizing our DevOps SDLC!
Our Ultimate DevOps Goal
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Our goal is to provide our customers with the most comprehensive, robust, state-of-the-art, bleeding edge DevOps capabilities availalable in the industry.
One more thing!
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I want to briefly show you some of our incredible new DevOpscapabilities that we have already implemented for our customers
Skytap/IBM IDTES
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Skytap is a public cloud service which provides instantPre-Prod Environments and QA Automated Testing Infrastructures
to traditional on-premises applications.
Skytap/IBM IDTES
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Spin Up the Cloud Env from within Urban Code
Suspend the Cloud Env from within Urban Code
Datical
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DevOps for the Database!Now your Database Development & Deployment can move at the Speed of Light too!
Datical – DevOps for the Database!
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9/29/16, 9:05 PMDeploy: compass_poc_ref_db Wed Mar 23 16:02:14 ADT 2016
Page 1 of 3https://ubuild.inbcu.com/jobs/artifacts/84/22647/Datical_Deployment_and_Forecasting_Res…6/03-Mar/compass_poc_ref_db/deploy_compass_poc_ref_db_20160323_160157/deployReport.html
Deploy: compass_poc_ref_db Wed Mar 23 16:02:14 ADT 2016
Deploy Mode: Full Deploy Context: all contexts
Forecast Mode: Limited Forecast Labels: all labels
Deploy changes on compass_poc_ref_db
SystemUser: svc206440895 Deployment
Step: compass_poc_ref_db
SystemName: AOAWSWP00035 Database
User: UrbanDatical
JDBCURL: jdbc:sqlserver://AOADBWD00051\D0010ES03:4070;databaseName=COMPASS_POC_REF_DB DBMS
Platform:Microsoft SQLServer -11.00.5058(11 0)
Driver: Microsoft JDBC Driver 4.0 for SQL Server Contexts: all contextsStartTime: Wed Mar 23 16:01:58 ADT 2016 Labels: all labels
EndTime: Wed Mar 23 16:02:29 ADT 2016
TotalTime: 30 seconds
Table Impact Summary
Table Total Rows Read Total Values DeletedTVEPartner 0 0TVEPartnerLog 0 0
Successful Changes
Expand All Details
1458759580227-1
Create new table TVEPartner with 10 columns.Rows Impacted Values Deleted0 0
Expand Details
IDAuthorDate Executed1458759580227-1svc206440895 (generated)Wed Mar 23 16:02:15 ADT 2016
Change Set Impact
Before AfterColumn Name Type
TVEPartnerNo INTTVEPartnerName VARCHAR(100)TVEPartnerTypeNo INTFeedNo INTCommentNo INTDelFlag CHAR(1)DateAdded datetimeUserAdded INTDateUpDated datetimeUserUpdated INT
Generated SQL
9/29/16, 9:04 PMForecast: compass_poc_ref_db Wed Mar 23 16:01:49 ADT 2016
Page 1 of 3https://ubuild.inbcu.com/jobs/artifacts/84/22647/Datical_Deployment_and_Forec…ss_poc_ref_db/forecast_compass_poc_ref_db_20160323_160131/forecastReport.html
Forecast: compass_poc_ref_db Wed Mar 23 16:01:49 ADT 2016
Forecast Mode: Limited Forecast
Context: all contexts
Labels: all labels
Forecast changes on compass_poc_ref_db
SystemUser: svc206440895 Deployment
Step: compass_poc_ref_db
SystemName: AOAWSWP00035 Database
User: UrbanDatical
JDBCURL: jdbc:sqlserver://AOADBWD00051\D0010ES03:4070;databaseName=COMPASS_POC_REF_DB DBMS
Platform:Microsoft SQLServer -11.00.5058(11 0)
Driver: Microsoft JDBC Driver 4.0 for SQL Server Contexts: all contexts
Table Impact Summary
Table Total Rows Read Total Values DeletedTVEPartner 0 0TVEPartnerLog 0 0
Changes
Expand All Details
1458759580227-1
Create new table TVEPartner with 10 columns.Rows Impacted Values Deleted0 0
Expand Details
IDAuthorDate Executed1458759580227-1svc206440895 (generated)Wed Mar 23 16:01:51 ADT 2016
Change Set Impact
Before AfterColumn Name Type
TVEPartnerNo INT
TVEPartnerName VARCHAR(100)TVEPartnerTypeNo INTFeedNo INTCommentNo INTDelFlag CHAR(1)DateAdded datetime
Forecast the Changes… Then Deploy the Changes!
DevOps Mobile
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Always on the go?
Not in front of your laptop or desktop computer?
BUT you still need to stay on top of your application development?