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1.1 What proportion of source code for your engineering team's applications are under version control?^*

1.2 What proportion of your engineering team's cloud/infrastructure configuration is under version control?^*

1.3 Generally, what's the average CI pipeline duration for applications worked on by your engineering team?^*

1.4 Do PRs for your engineering team's applications result in test/build/deployment?^*

1.5 How reliable is your engineering team’s CI pipeline for building and testing applications?^*

1.6 Generally, what is the test code coverage for the applications?^*

1.7 What branching model is predominantly used for application codebase repos?^*

1.8 How easy is it for your engineering team to run your primary application locally?^*

1.9 If running connected services / distributed transactions - how easily can your engineering team identify sources of performance issues in Production?^*

1.10 How easily can your engineering team onboard services? i.e. provision your application in a AWS cluster or in a AWS lambda service, with supporting infrastructure and CI/CD pipelines^*

1.11 How quickly can your engineering team offboard services? i.e. appropriately teardown where your application has been set up in environments and decommission associated infrastructure and CI/CD pipelines^*

2.1 How often does your engineering team deploy code to Production?^*

2.2 How long does it take your engineering team to go from code committed to code base, to successfully running in Production?^*

2.3 How long does it take your engineering team to restore a service running your application when a fault occurs?^*

2.4 How often do production releases by your engineering team result in a degraded service, outage or rollback?^*

2.5 How often to problems in Production releases result due to differences in test data? This relates to how representative test data is of data used in Production^*

2.6 Are rollbacks for deployments reliably automated?^*

2.7 How easily can you evolve APIs and functionality without impacting teams/users?^*

3.1 Do you have deployment status tracking for your engineering team?^*

3.2 Once applications are deployed, does your engineering team have access to logs in one place?^*

3.3 Does your engineering team have access to distributed tracing? This refers to monitoring applications in one place, to easily pinpoint cause of failures^*

3.4 Do you have alerting is place in relation to applications? e.g. notification on auto-scaling event^*

3.5 Is anomaly detection implemented for your engineering team’s applications? This would help identify deviations from expected patterns^*

3.6 Do you have custom metrics available in relation to your engineering team’s operations? This refers to bespoke KPIs, which may relate to CI/CD and other performance metrics.^*

3.7 How established are security measures for your engineering team? (e.g. vulnerability detection, RASP - Runtime App Self Protection)^*