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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: interact data], S3 -> Glue [labels: process data], Glue -> dest-S3 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], CloudWatch -> QuickSight [labels: visualize results]
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User -> Phone [labels: initiate call], Phone -> Connect [labels: connect call], Connect -> Lex [labels: route call], Lex -> Lambda [labels: process voice], Lambda -> DynamoDB [labels: store data], DynamoDB -> Lambda [labels: retrieve data], Lambda -> Lex [labels: send response], Lex -> Connect [labels: connect user], Connect -> Users [labels: respond user]
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User -> Phone [labels: call], Phone -> Connect [labels: connect], Connect -> Lex [labels: chat], Lex -> Lambda [labels: process], Lambda -> DynamoDB [labels: store], DynamoDB -> Lambda [labels: retrieve], Lambda -> Lex [labels: respond], Lex -> Connect [labels: interact], Connect -> Users [labels: communicate]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: output model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> S3-1 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> d-s3 [labels: save results]
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User -> Phone [labels: call], Phone -> Connect [labels: connect call], Connect -> Lex [labels: route call], Lex -> Lambda [labels: process voice], Lambda -> DynamoDB [labels: store data], DynamoDB -> Lambda [labels: retrieve data], Lambda -> Lex [labels: send response], Lex -> Connect [labels: connect response], Connect -> Users [labels: respond call]
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User -> Redis [labels: interact], Redis -> API Gateway [labels: output], API Gateway -> Lambda [labels: trigger], Lambda -> API Gateway [labels: respond], API Gateway -> S3 [labels: store], S3 -> SageMaker [labels: process], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage], Azure Cost Management -> AWS Storage [labels: store], AWS Storage -> Edge [labels: distribute], AWS Storage -> Azure Blob Storage [labels: replicate]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: process data], Lambda -> API Gateway [labels: return output], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: train model], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data]
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`User -> Redis [labels: interact], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: invoke], Lambda -> API Gateway [labels: return], API Gateway -> S3 [labels: send data], S3 -> SageMaker [labels: train model], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage cost], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: stream data], AWS Storage -> Azure Blob Storage [labels: archive data]`
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: store model]
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User -> Phone [labels: call], Phone -> Connect [labels: connect call], Connect -> Lex [labels: route call], Lex -> Lambda [labels: process voice], Lambda -> DynamoDB [labels: store data], DynamoDB -> Lambda [labels: retrieve data], Lambda -> Lex [labels: send response], Lex -> Connect [labels: connect response], Connect -> Users [labels: respond call]
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User -> Redis [labels: interact], Redis -> API Gateway [labels: output], API Gateway -> Lambda [labels: invoke], Lambda -> API Gateway [labels: respond], API Gateway -> S3 [labels: store], S3 -> SageMaker [labels: process], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage], Azure Cost Management -> AWS Storage [labels: store], AWS Storage -> Edge [labels: stream], AWS Storage -> Azure Blob Storage [labels: replicate]
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User -> Controller [labels: send request], Controller -> Business Layer [labels: process request], Business Layer -> SQL Server [labels: query data]
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User -> Redis [labels: interact], Redis -> API Gateway [labels: output], API Gateway -> Lambda [labels: trigger], Lambda -> API Gateway [labels: response], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: process data], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store results], AWS Storage -> Edge [labels: distribute], AWS Storage -> Azure Blob Storage [labels: replicate]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: process data], Lambda -> API Gateway [labels: return data], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: train model], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost [labels: manage cost], Azure Cost -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob [labels: store data]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: process data], Lambda -> API Gateway [labels: return data], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data], Azure Blob Storage -> S3 [labels: save data], Edge -> S3 [labels: save data]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: trigger function], Lambda -> API Gateway [labels: return result], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data], Azure Blob Storage -> S3 [labels: save data]
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User -> Redis [labels: interact], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: invoke], Lambda -> API Gateway [labels: return], API Gateway -> S3 [labels: send data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: replicate data], Azure Blob Storage -> S3 [labels: transfer data]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: trigger function], Lambda -> API Gateway [labels: return data], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data], Azure Blob Storage -> S3-2 [labels: save results], Edge -> S3-2 [labels: save results]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: process data], Lambda -> API Gateway [labels: return output], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data], Azure Blob Storage -> S3-dest [labels: save results], Edge -> S3-dest [labels: save results]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: process data], Lambda -> API Gateway [labels: return output], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data], Azure Blob Storage -> S3-dest [labels: save results], Edge -> S3-dest [labels: save results]
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User -> Redis [labels: interact], Redis -> API Gateway [labels: output], API Gateway -> Lambda [labels: process], Lambda -> API Gateway [labels: return], API Gateway -> S3 [labels: store], S3 -> SageMaker [labels: analyze], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage], Azure Cost Management -> AWS Storage [labels: store], AWS Storage -> Edge [labels: distribute], AWS Storage -> Azure Blob Storage [labels: replicate]
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User -> Redis [labels: interact], Redis -> API Gateway [labels: output], API Gateway -> Lambda [labels: process], Lambda -> API Gateway [labels: respond], API Gateway -> S3 [labels: store], S3 -> SageMaker [labels: analyze], SageMaker -> QuickSight [labels: visualize], QuickSight -> Azure Cost Management [labels: manage cost], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: distribute], AWS Storage -> Azure Blob Storage [labels: replicate]
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Boy -> Girl [labels: show love]
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Manish -> .NET [labels: develop]
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Domain -> Application [labels: use services], Application -> Infrastructure [labels: access data], Infrastructure -> Data [labels: store data], Application -> Presentation [labels: provide data], Presentation -> User [labels: show ui], User -> Presentation [labels: send input], Presentation -> Application [labels: handle input], Application -> Domain [labels: business logic]
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MVC -> N-tier [labels: small apps], N-tier -> Clean Architecture [labels: scale up], Clean Architecture -> Microservices [labels: complex systems]
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User -> Redis [labels: interact data], Redis -> API Gateway [labels: send output], API Gateway -> Lambda [labels: process data], Lambda -> API Gateway [labels: return output], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: use data], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Management [labels: manage costs], Azure Cost Management -> AWS Storage [labels: store data], AWS Storage -> Edge [labels: send data], AWS Storage -> Azure Blob Storage [labels: store data], Azure Blob Storage -> S3-dest [labels: save results], Edge -> S3-dest [labels: save results]
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User -> Redis [labels: cache data], Redis -> API Gateway [labels: fetch data], API Gateway -> Redis [labels: update cache], Redis -> API Gateway [labels: serve data], API Gateway -> S3 [labels: store data], S3 -> SageMaker [labels: train model], SageMaker -> QuickSight [labels: visualize results], QuickSight -> Azure Cost Budgets [labels: monitor costs], Azure Cost Budgets -> User [labels: report costs], User -> Azure Storage [labels: upload data], Azure Storage -> Glue [labels: process data], Glue -> S3-1 [labels: store results], Glue -> Azure IoT Edge [labels: send data]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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`User -> Presentation Layer [labels: interact], Presentation Layer -> Application Layer [labels: request data], Application Layer -> Data Access Layer [labels: access data], Data Access Layer -> Database [labels: retrieve data], Database -> Data Access Layer [labels: return data], Data Access Layer -> Application Layer [labels: provide data], Application Layer -> Presentation Layer [labels: send results], Presentation Layer -> User [labels: display results]`
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There is no flow description provided, so there's nothing to convert. Please provide the natural language architecture or data flow description you'd like me to convert into a precise, standardized flow string.
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User -> Storage [labels: upload data]
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User -> Storage [labels: store data]
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There is no input description provided to convert into a flow string. Please provide the natural language architecture or data flow description, and I will convert it into a precise, standardized flow string according to the rules.
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User -> Storage [labels: store data]
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User -> Assistant [labels: greet]
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User -> Expert [labels: seek help]
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Expert -> User [labels: provide input]
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User -> Diagram [labels: generate diagram]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call function], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> SageMaker [labels: greet user]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
images/56_target.jpg
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call function], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: store model]
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User -> Car [labels: get in]
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User -> Car [labels: enter vehicle]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: train model], SageMaker -> S3 [labels: save model]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> Works [labels: perform tasks]
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User -> System [labels: input data]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
images/67_target.jpg
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: trigger function], Lambda -> Step Function [labels: call step], Step Function -> SageMaker [labels: train model], SageMaker -> ECR [labels: get info], ECR -> SageMaker [labels: use info], SageMaker -> S3 [labels: save model]
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User -> Website [labels: login], Website -> Search [labels: search product], Search -> Sort [labels: sort list], Sort -> Cart [labels: add product], Search -> QuickOrder [labels: quick order], Cart -> Checkout [labels: checkout cart], Checkout -> OnlineOrder [labels: place order]
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User -> S3 [labels: upload data], S3 -> Glue [labels: process data], Glue -> d-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results], QuickSight -> s3-2 [labels: save results]
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User -> App Service [labels: access portal], App Service -> NET [labels: communicate api], NET -> SQL Database [labels: interact data], App Service -> Virtual Network [labels: deploy secure], NET -> Virtual Network [labels: deploy secure], Virtual Network -> Public IP [labels: expose internet]
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User -> App Service [labels: access portal], App Service -> NET [labels: communicate API], NET -> Azure SQL [labels: interact database], App Service -> Virtual Network [labels: deploy secure], NET -> Virtual Network [labels: deploy secure], Virtual Network -> Public IP [labels: expose internet]
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User -> App Service [labels: access portal], App Service -> NET [labels: communicate], NET -> Azure SQL [labels: interact data], App Service -> Virtual Network [labels: deploy], NET -> Virtual Network [labels: deploy], Virtual Network -> Public IP [labels: expose], Public IP -> Internet [labels: connect]
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User -> App Service [labels: access portal], App Service -> NET [labels: communicate], NET -> SQL Database [labels: interact data], App Service -> Virtual Network [labels: deploy], NET -> Virtual Network [labels: deploy], Virtual Network -> Public IP [labels: expose]
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User -> App Service [labels: access portal], App Service -> NET [labels: communicate], NET -> SQL Database [labels: interact data], App Service -> Virtual Network [labels: deploy], NET -> Virtual Network [labels: deploy], Virtual Network -> Public IP [labels: expose]
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I'm ready to convert the architecture diagram into a precise, standardized flow string. Please provide the input description of the architecture diagram. I will then generate the flow string according to the provided rules.
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User -> S3 [labels: upload data]
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User -> S3 [labels: upload data], S3 -> Lambda [labels: process data], Lambda -> SageMaker [labels: train model], SageMaker -> d-S3 [labels: save output], d-S3 -> SageMaker [labels: use output]
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User -> MemoryDB [labels: store data], MemoryDB -> Backup [labels: backup data], Backup -> Glue [labels: process data], Glue -> Wickr [labels: send data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: use data], SageMaker -> CloudWatch [labels: monitor metrics], SageMaker -> QuickSight [labels: visualize results]
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User -> S3 [labels: interact data], S3 -> Glue [labels: process data], Glue -> dest-S3 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], SageMaker -> QuickSight [labels: visualize results]
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User -> S3 [labels: interact], S3 -> Glue [labels: process data], Glue -> S3_2 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], SageMaker -> QuickSight [labels: visualize results]
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User -> S3 [labels: interact], S3 -> Glue [labels: process], Glue -> S3_2 [labels: store], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query], Athena -> SageMaker [labels: analyze], SageMaker -> CloudWatch [labels: monitor], SageMaker -> QuickSight [labels: visualize], SageMaker -> Athena-2 [labels: analyze]
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User -> S3 [labels: interact], S3 -> Glue [labels: process data], Glue -> S3_2 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], SageMaker -> QuickSight [labels: visualize results], Athena -> QuickSight [labels: visualize results]
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Camera -> Azure RTSP Listener [labels: video stream], Azure RTSP Listener -> Azure Blob Storage-1 [labels: store frames], Azure Blob Storage-1 -> Azure Event Hubs [labels: event trigger], Azure Event Hubs -> Azure Function [labels: pipeline trigger], Azure Function -> Azure ML Pipeline [labels: run pipeline], Azure ML Pipeline -> Output [labels: generate output], Output -> Azure SignalR [labels: send output], Azure SignalR -> Web App [labels: display data], Azure SignalR -> Azure Cosmos DB [labels: store data], Azure SignalR -> Azure Blob Storage-2 [labels: archive data]
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Camera -> Azure RTSP Listener [labels: video stream], Azure RTSP Listener -> Azure Blob Storage-1 [labels: store frames], Azure Blob Storage-1 -> Azure Event Hubs [labels: event trigger], Azure Event Hubs -> Azure Function [labels: pipeline trigger], Azure Function -> Azure ML Pipeline [labels: run pipeline], Azure ML Pipeline -> Output [labels: generate output], Output -> Azure SignalR [labels: send data], Azure SignalR -> Web App [labels: display data], Azure SignalR -> Azure Cosmos DB [labels: store data], Azure SignalR -> Azure Blob Storage-2 [labels: archive data]
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Frontend -> API Gateway [labels: connect], API Gateway -> Backend [labels: connect]
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User -> API Gateway [labels: connect], API Gateway -> Backend [labels: forward request]
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There is no input to process. Please provide a natural language architecture or data flow description.
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User -> S3 [labels: interact], S3 -> Glue [labels: process data], Glue -> S3-2 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], SageMaker -> QuickSight [labels: visualize results]
images/92_target.jpg
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User -> S3 [labels: interact], S3 -> Glue [labels: process data], Glue -> dest-S3 [labels: store data], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], CloudWatch -> QuickSight [labels: visualize results]
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User -> S3 [labels: interact], S3 -> Glue [labels: process data], Glue -> dest-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], SageMaker -> QuickSight [labels: visualize results]
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User -> S3 [labels: interact], S3 -> Glue [labels: process data], Glue -> dest-S3 [labels: store results], Glue -> elastic-views [labels: feed data], elastic-views -> Athena [labels: query data], Athena -> SageMaker [labels: analyze data], SageMaker -> CloudWatch [labels: monitor performance], CloudWatch -> QuickSight [labels: visualize results]
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User -> SageMaker [labels: purchase products]
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User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: send order], Glue -> User [labels: send confirmation]
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User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: send confirmation], Glue -> Glue [labels: receive confirmation] However, this seems a bit off as "Glue -> Glue" doesn't make sense in this context. It seems more reasonable to interpret the flow as the user interacting with SageMaker, and then SageMaker sending a confirmation through Glue to some form of storage or notification system. Given the original description, a more logical interpretation, adhering to the rules and assuming a missing component for the confirmation to be sent to (like S3 for storage), would be: User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: process confirmation], Glue -> S3 [labels: store confirmation] This revised flow assumes that the confirmation is sent from SageMaker to Glue for processing and then stored in S3, which aligns better with typical AWS workflow patterns.
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User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: send confirmation], Glue -> Glue [labels: receive confirmation] However, since "Glue" is receiving confirmation from itself which doesn't make logical sense given the context, it seems there might be a misunderstanding or misrepresentation in the input provided. Typically, one would expect a flow like: User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: send confirmation] This corrected flow suggests that after the user purchases products via SageMaker, SageMaker sends a confirmation to Glue. If the intention is to describe a confirmation being sent back to the user or another entity, the flow should reflect that accurately. Given the original task, the most straightforward interpretation based on provided rules and input would indeed focus on the action described: User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: send confirmation]
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User -> SageMaker [labels: purchase products], SageMaker -> Glue [labels: send confirmation], Glue -> S3 [labels: send confirmation]
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