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docs/images/devops/devops-azure.png

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docs/index.md

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@@ -30,6 +30,8 @@ Description: Instantly Create and Run Database Projects - Flask, APIs, SQLAlchem
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3. ***Logic Automation:*** unique **rules - 40X** more concise multi-table derivations and constraints.
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4. ***Deployment Automation:*** scripts created to containerize your system, and deploy to Azure.
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Unlike frameworks, weeks-to-months of complex development is no longer necessary. <br>
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API Logic Server provides unique automation **for instant integrations and app backends**.
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<details markdown>
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<summary>Quick Screenshot Tour of using API Logic Server: Create, Run, Customize</summary>
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<summary>Quick Screenshot Tour of using API Logic Server: Create, Run, Customize, Deploy</summary>
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![Toaster](images/sample-ai/toaster.jpg){: style="height:201px;width:300px"; align=right }
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</details>
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&nbsp;
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**4. Deploy: Deployment Automation**
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The system [creates scripts](DevOps-Automation.md) to containerize your project, and deploy it to Azure.
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<details markdown>
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<summary>See Deployment Automation</summary>
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&nbsp;
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The `ApiLogicServer create` command builds scripts for containerizing your project, testing it locally, and deploying to Azure:
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![Container Overview](images/devops/devops-azure.png)
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</details>
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</details>
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includes/abbreviations.md

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*[Logic Automation]: Declare logic with spreadsheet-like Rules that are 40X more concise than code for multi-table derivations and constraints; add Python as required.
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*[Maintenance Automation]: Rules are automatically re-ordered based on dependencies, and re-used over all relevant transactions.
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*[App Automation]: Create Admin Apps with 1 command - multi-page, multi-table.
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*[Microservice Automation]: Creation of customizable, executable projects with a single command, providing App Automation, API Automation and Logic Automation.
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*[Microservice Automation]: Creation of customizable, executable projects with a single command, providing App Automation, API Automation and Logic Automation.
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*[Deployment Automation]: Scripts automatically created to containerize your project, and deploy to Azure.

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