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reddog-solutions

This repo is archived. See Project Miyagi for an example of AI-infused cloud-native application, powered by Azure.

Background

This repo, based on reddog-code, is a deep-dive on end-to-end cloud-native modernization and transformation on Azure. Using a retail scenario that depicts a typical event-driven microservices architecture, this codebase (and associated workshop) will ease the migration and modernization of workloads targeted for Azure. This repo also highlights usage of our emergent services such as Az Cognitive Services, OpenAI, and HuggingFace to transform enterprise applications with Azure AI offerings. In addition, with code, it shows usage of our offerings in preview such as the latest JFR for Application Insights that uses Machine Learning for insightful performance diagnostics, passwordless connections to services using managed identities, and JMS 2.0 API with Azure Service Bus.

Setup:

Jump over to the docs to get started.

Initial setup docs

Related repos

Services and local port mappings

Service Description Key dependencies port
Virtual Customer Simulates orders webflux, jobrunr, faker, 8701
Order Service Place and manage orders flyway, eh-kafka, jpa 8702
Loyalty Service Manage reward points redis, eh-kafka, jpa 8703
Makeline Service Fulfil order queue cosmodb, eh-kafka, jpa 8704
Receipt generation Archive receipts blob storage 8705
Virtual Worker Simulate order completion cosmodb 8706
Accounting Service Process and transform data cosmodb, eh-kafka, jpa 8707
Gateway Service Gateway Spring Cloud Gateway 8700
nn-bindings GPT-3 responses to prompts az-openai, python 8000
local eureka server Service discovery eureka 8761
local config server Centralized Configurations Spring Cloud Config 8888
local gateway server Gateway Spring Cloud Gateway 8080

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

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