whenever anyone performs deployment; focus on the metrics associated with the feature. ii. If negative results, ideally feature toggle off and fix-forward or use other Blue- Green, Canary release patterns Engineering) iii. Find the proper balance between fixing production issues and new features development – feature is only “done” when it’s performing as expected in production c. HAVE DEVELOPERS FOLLOW WORK DOWNSTREAM actually exists.” ii. How to build a feature: 1. Ask, “Should we build it, and why?” 2. Perform cheapest, fastest experiment possible to validate whether the feature will achieve desired outcomes. 3.

Digital Trends (1/25) Get up to speed on just about anything with Deep Research, an agentic feature in Gemini that can automatically browse up to hundreds of websites on your behalf, think through AI accelerators…), liquid cooling, and frontier data center design. In 2019, AI was a research feature; by 2023, it was a capital expenditure line item. Microsoft Vice Chair and President Brad Smith Possibilities = New Entrants & / Or Tech Incumbents?198 AI – Tech Incumbents = Broad & Steady Product / Feature Rollouts199 Tech Incumbents = Optimizing Product Distribution to Roll Out AI *Meta includes Facebook

as we decide whether the quality of each individual feature is adequate for the feature to be deployed.  It is easy enough to say that the feature is ready for deployment when it passes all of its tests concepts of deployability and quality. A feature is simply deployable when it passes its tests; that is a yes-or-no question independent of quality.  Once the feature is in production, we can assess its

when validation tests fail 3. Developers working in small batches on trunk rather than long-lived feature branches f. BUILD A FAST AND RELIABLE AUTOMATED VALIDATION TEST SUITE i. Slow and periodic feedback purposes ii. Deployment – installing a specified version to a given environmentiii. Release – when a feature is made available to customers. 1. Release of functionality should not require changing our application Pattern – modify application to selectively release functionality by small configuration changes. Feature flags, dark launching h. ENVIRONMENT-BASED RELEASE PATTERNS i. Enables deployments during normal

capability creates an environment for prototyping several different implementations of a design feature to benchmark the resulting performance and analyze the tradeoffs of each approach. This can reduce deliverables contract may require a more complicated IGCE to estimate the costs of each requirement, feature, or functionality. 11.2.2 Release-Level Estimation Following contract award, the government each story. Teams base story-point estimates on the amount of effort involved in developing the feature, its relative complexity, and the inherent risks. For example, a small, simple story could be assigned

characters that would otherwise be regex metachar- acters. However, caution is needed when using this feature together with string interpolation, since theCHAPTER 8. STRINGS 68 interpolated string might itself (a = 1, b = 2, c = 3) julia> a 1 julia> b 2 9.11 Argument destructuring The destructuring feature can also be used within a function argument. If a function argument name is written as a tuple (e will run after catch has handled the error. 10.6 Tasks (aka Coroutines) Tasks are a control flow feature that allows computations to be suspended and resumed in a flexible manner. We mention them here

characters that would otherwise be regex metachar- acters. However, caution is needed when using this feature together with string interpolation, since theCHAPTER 8. STRINGS 68 interpolated string might itself (a = 1, b = 2, c = 3) julia> a 1 julia> b 2 9.11 Argument destructuring The destructuring feature can also be used within a function argument. If a function argument name is written as a tuple (e will run after catch has handled the error. 10.6 Tasks (aka Coroutines) Tasks are a control flow feature that allows computations to be suspended and resumed in a flexible manner. We mention them here

characters that would otherwise be regex metachar- acters. However, caution is needed when using this feature together with string interpolation, since theCHAPTER 8. STRINGS 68 interpolated string might itself (a = 1, b = 2, c = 3) julia> a 1 julia> b 2 9.11 Argument destructuring The destructuring feature can also be used within a function argument. If a function argument name is written as a tuple (e will run after catch has handled the error. 10.6 Tasks (aka Coroutines) Tasks are a control flow feature that allows computations to be suspended and resumed in a flexible manner. We mention them here

characters that would otherwise be regex metachar- acters. However, caution is needed when using this feature together with string interpolation, since theCHAPTER 8. STRINGS 68 interpolated string might itself (a = 1, b = 2, c = 3) julia> a 1 julia> b 2 9.11 Argument destructuring The destructuring feature can also be used within a function argument. If a function argument name is written as a tuple (e will run after catch has handled the error. 10.6 Tasks (aka Coroutines) Tasks are a control flow feature that allows computations to be suspended and resumed in a flexible manner. We mention them here

characters that would otherwise be regex metachar- acters. However, caution is needed when using this feature together with string interpolation, since theCHAPTER 8. STRINGS 68 interpolated string might itself (a = 1, b = 2, c = 3) julia> a 1 julia> b 2 9.11 Argument destructuring The destructuring feature can also be used within a function argument. If a function argument name is written as a tuple (e will run after catch has handled the error. 10.6 Tasks (aka Coroutines) Tasks are a control flow feature that allows computations to be suspended and resumed in a flexible manner. We mention them here