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.
Jump over to the docs to get started.
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 |
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 | 8088 |
local gateway server | Gateway | spring cloud gateway | 8080 |
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