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Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Inner Dev Loop
The inner dev loop is the single developer workflow. A single developer should be able to set up and use an inner dev loop to code and test changes quickly.
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Outer Dev Loop
The outer dev loop is everything else that happens leading up to release. This includes code merge, automated code review, test execution, deployment, controlled (canary) release , and observation of results. The modern outer dev loop might include, for example, an automated CI/CD pipeline as part of a GitOps workflow and a progressive delivery strategy relying on automated canaries, i.e. to make the outer loop as fast, efficient and automated as possible.
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24 reads
Slow Inner Loop
A slow inner dev loop can negatively impact frontend and backend teams, delaying work on individual and team levels and slowing releases into production overall.
For example:
- Frontend developers have to wait for previews of backend changes on a shared dev/staging environment and/or rely on mocks/stubs/virtual services when coding their application locally.
- Backend developers have to wait for CI/CD to build and deploy their app to a target environment to verify that their code works correctly with cluster or cloud-based dependencies as well as to share their work to get feedback.
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16 reads
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